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Changes in the Marketing Unit? Here's how your team can navigate 2025 and maintain performance.

Posted by Dan Shaw on Mar 30, 2025 9:52:00 PM

Let’s not sugarcoat it...2024 was a chaotic year for some.

Budgets were slashed. Teams were shuffled. AI hype reached fever pitch. And while everyone tried to sound excited about “doing more with less,” many CMOs were quietly asking: What happens when the ‘less’ keeps getting smaller?

Now it’s 2025. You’re still here. That’s the good news. The bad news? The pressure hasn’t let up, it’s just changed shape.

So, if your team is leaner, your timelines are tighter, and your performance targets haven’t budged, this post is for you. 

Let’s break down what’s actually happening in marketing teams right now, and how you can build a performance system that doesn't collapse every time there's a restructure or a new tech buzzword. 

Key takeaways:

 

Here are the main points from the conversation: 

  • Performance is a system. Sustainable growth comes from building an operating model that flexes with change, not from sprinting harder every quarter.
  • Focus is the new speed. High-performing teams aren’t faster, they’re more focused. Ruthlessly prioritise, kill vanity projects, and simplify execution.
  • AI is only half the answer. Automation only drives value when it’s embedded in how your team works, not just what tools you use.
  • Cross-functional alignment unlocks efficiency. RevOps and Marketing Ops should share goals, data, and accountability to drive consistent performance.
  • Leaner teams require smarter workflows, prioritise ruthlessly, reduce handoffs, and empower cross-skilled contributors to own full campaign loops.

Why Marketing teams are evolving: AI, RevOps, and the drive for efficiency. 

The traditional marketing model, siloed functions, big teams, bloated tech stacks, is being quietly dismantled. 

Three forces are reshaping the unit:

  1. AI and Automation: Not just the shiny stuff. Yes, generative content tools matter, but the real shift is in how AI is quietly stitching together workflows, data, and insights that used to be spread across five teams and three platforms.
  2. RevOps Thinking: Revenue Operations isn’t just a B2B thing anymore. It’s a mindset shift, less about channels, more about customer flow and commercial alignment. Teams are being measured less on brand vanity metrics and more on pipeline, conversion, and impact.
  3. Efficiency Mandates: Boards and CFOs aren’t asking “How big is your reach?” anymore. They’re asking, “Why are we spending that much to get this result?” Marketing is now a cost center under a microscope. You need to prove you're a growth engine, not just a storytelling studio. 

If it feels like you’re being asked to do more with fewer people, less budget, and tighter turnaround times, you're not imagining things.

Adapting to leaner teams: smarter workflows, better prioritisation. 

The hard truth is that most teams aren't underperforming, they're overextended. 

When everything is urgent, nothing gets done well. The fix? Ruthless prioritisation and intentional workflow design.

A few high-leverage moves:

  • Kill your vanity projects. If it doesn’t drive pipeline, productivity, or performance, then park it.
  • Design workflows around outputs, not departments. Cross-skill your team so one person can own a full campaign loop, from ideation to launch, without passing it through five stakeholders.
  • Implement sprint cycles for marketing. Agile isn’t just for developers. Two-week sprints with clear priorities beat sprawling quarterly plans that break the moment something changes. 

This isn’t about working harder, it’s about eliminating friction, ambiguity, and busywork. 

Aligning with other business units: RevOps, MOps, and cross-functional efficiency.

Marketing can’t be the lone wolf anymore. 

The orgs that are thriving in this environment have cracked one thing: cross-functional clarity. They’ve aligned their marketing operations with sales ops, CX, and finance. 

You don’t need to merge departments. You need to merge goals and data.  Things to consider: 

  • Get in the same room (or Slack channel) with Sales and CX. Share dashboards. Debate the funnel. Challenge assumptions.
  • RevOps and MOps need a shared map. One that connects customer journeys to backend processes, to revenue levers.
  • Don’t just align on metrics, align on incentives. If Sales wins and Marketing doesn’t, the model’s broken. If CX insights aren’t influencing campaign strategy, your flywheel has a flat tire.. 

This is where a lot of teams get stuck. They have great strategy but terrible execution because execution is happening in silos. Smash those silos. 

The role of automation. Doing more with less (without burning out). 

Automation isn’t just about speeding things up, it’s about making space for higher-value work.

Here’s how smart teams are using it:

  • Tactical automation. Think campaign cloning, triggered journeys, dynamic content generation. Anything that eliminates copy/paste work.
  • Strategic automation. Using AI to identify patterns in performance data, surface next-best actions, or simulate scenarios based on customer behaviour.
  • Cultural automation. Embedding automation into how you work, not just what you use. Example: auto-prioritising requests based on business value. Or using AI to draft briefs that get 80% of the way there. 

The best automation feels like a natural extension of your team’s brain, not a bolt-on solution.  

Performance is a system, not a sprint. 

Even though perfect MOps is tailored to each organisation, one thing is clear: 

The teams that will win this year aren’t the ones with the biggest budgets. They’re the ones who: 

  • Know how to focus under pressure, 
  • Build systems that don’t break under change, 
  • And collaborate like their bonus depends on it (because it probably does). 

This isn’t about survival. It’s about building a marketing team that can thrive in disruption. That knows how to pivot, prioritise, and perform, without running itself into the ground. 

You don’t need to move faster. You need to move smarter. 

And if that sounds like a cliché, it’s only because most teams still haven’t figured out how to do it. 

Want help turning your MOps into a performance engine (even with a leaner team)?

We help teams align strategy to execution, build automation that matters, and unlock performance through smarter processes.

Contact us today to book a strategy session, and get started on strengthening your Marketing Operations.

 

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Tags: Marketing, Operations, Digital Transformation, Strategy, MarTech, Digital Engagement, CX, Customer Experience, Customer Experience Innovation, MOps

How to Convert Your Board or Executive Team on a DXP Project

Posted by Dan Shaw on Mar 19, 2025 9:51:28 AM

Getting executive buy-in on a DXP project is challenging...especially in the current climate.

Digital leaders know a Digital Experience Platform (DXP) can transform customer engagement, streamline content management, and future-proof digital operations. But getting the board or executive team to approve the investment? That’s where things get tough.

Dan Shaw and Anthony Hook, recently sat down to discuss the challenges digital leaders face in securing executive buy-in for DXP projects. Their conversation highlighted the real reasons decision-makers hesitate, how to frame the business case, and what digital leaders can do to push their projects over the line.

Here is the video and below a summary of their conversation.

 

Key takeaways:

 

Here are the main points from the conversation: 

  • Executives don’t care about the technology, only the business impact. Focus on revenue growth, cost reduction, or risk mitigation.
  • Avoid vendor driven decisions. If a software provider is pushing you to upgrade without a clear internal business need, stop and reassess.
  • Make the investment feel manageable. Break the project into phased investments with quick wins in the first 3-6 months.
  • Align internal teams before going to the board. Marketing, IT, and finance must be on the same page to avoid internal roadblocks.
  • Find an internal board or executive champion. Having a senior advocate within the organisation increases the chances of approval.
  • Decisions are made over time, not in a single meeting. Build support through informal conversations before the formal pitch.
  • Use real business data to support your case. Instead of vague benefits, quantify the impact.

Executives are skeptical, and for good reason. 

There’s a reason DXPs face resistance at the executive level: decision-makers have been burned before. 

According to Anthony, many senior executives and board members have seen previous “all-in-one” digital platforms promise big results, only to fall short. 

“The promises were the same five or ten years ago: better personalisation, reduced costs, streamlined marketing ops, and a platform that would do it all. But now, with the push toward headless, composable, and API-first architectures, those same promises are being dressed up in new terminology.” 

This has led to decision fatigue and skepticism. Many executives are not technologists, so when vendors push composable DXPs, API-first stacks, or headless CMS, it all starts to feel like another expensive experiment. 

The three big objections to DXPs.

When boards and executive teams push back against a DXP investment, their concerns usually fall into three categories: 

  1. Cost vs. ROI"We’ve spent millions on digital platforms before. How is this different?"
  2. Complexity"We don’t have the resources to take this on."
  3. Risk Aversion"If this goes wrong, it’s my head on the chopping block." 

Dan emphasised that these concerns aren’t just excuses, they reflect a real problem in how DXPs are pitched. 

“If you walk into the boardroom talking about ‘headless CMS’ or ‘API-first architecture,’ you’ve already lost them. They don’t care about the technology. They care about business impact: Will this make us more money? Will it reduce costs? Will it lower our risk?” 

The mistake many digital leaders make? They focus on the technology instead of the business outcome. 

Reframing the conversation: Make it about business value. 

To get a DXP project approved, the pitch needs to shift from technology to business impact. 

Executives care about three things:

  • Revenue Growth – How does this drive sales or improve retention?
  • Cost Reduction – Can this reduce operational inefficiencies?
  • Risk Mitigation – Will this make compliance, security, or governance easier? 

“If you can’t link your DXP investment to at least one of these three things, it’s going to be a tough sell,” said Anthony. 

A soft pitch sounds like this: 
“A composable DXP will unify our digital channels and create an omnichannel content strategy.” 

A strong pitch sounds like this: 
“Right now, 30% of customer service calls are from people struggling to find answers online. A personalised self-service experience powered by a DXP could cut that in half—saving us $5M per year.” 

Don’t let software vendors set the agenda. 

Another common issue is that too many DXP projects are vendor-driven, not business-driven. 

According to Anthony, executives often feel pressured into upgrades because vendors create “compelling events”—whether it’s an end-of-life product, a new software trend, or a fear-based sales pitch. 

“Just because your current CMS or DXP is ‘outdated’ doesn’t mean it’s actually a business problem. Vendors will always tell you that you need to upgrade. But is this upgrade solving a real problem, or are you just reacting to external pressure?” 

Dan agreed, adding that businesses need to take back control of the conversation: 

“Before you even start talking to vendors, make sure you’ve done your own internal analysis. What do you actually need? What problems are you solving? If you don’t control the narrative, you’ll end up solving the wrong problem.”  

Break the investment into key phases. 

Another major reason DXPs fail to get approval is because they’re seen as too big and too risky.

The solution? A phased investment strategy.

Dan explained that boards don’t want massive multi-year projects—they want to see quick wins before committing to long-term investments.

“The most successful DXP projects don’t ask for everything up front. Instead, they start with a small, high-impact use case that delivers ROI in 3-6 months.”

Example of a Phased DXP Investment:

  1. Phase 1 (Quick Win) – Implement AI-powered personalisation for top customers, leading to a 5% lift in repeat purchases.
  2. Phase 2 (Scaling the Impact) – Expand automation into marketing and sales, reducing manual effort and improving conversion rates.
  3. Phase 3 (Full Integration) – Roll out across all customer touchpoints, creating a truly seamless experience.

“This de-risks the investment and gives executives confidence in the long-term vision,” Anthony added.

Winning internal support - it’s not just about the board. 

Even if the board is convinced, other stakeholders inside the organisation can block your DXP project.

“Most big organisations are political ecosystems. Even if the CEO supports the project, if marketing and IT aren’t aligned, it’s going to hit roadblocks,” said Dan.

Marketing teams want agility and flexibility.
IT teams want control and security.
Finance teams want predictable costs and ROI.

Before going to the board, align these groups internally. Find an internal champion—someone who will advocate for the project at the executive level.

“It’s not a one-and-done conversation. These things are won in the hallways, in one-on-one chats, in coffee meetings. The board meeting is just the final step.” 

Final thought: Play the long game. 

Securing executive buy-in for a DXP investment isn’t about selling technology. It’s about framing the conversation around business value, managing risk, and proving ROI in small, strategic steps.

“Winning approval isn’t about a single meeting. It’s about shaping the conversation over time,” said Dan.

“Executives don’t need to be convinced that DXPs are amazing. They need to see how this will drive business success,” added Anthony.

Need help making your DXP business case?

We help digital leaders translate complex technology into board-ready business cases. If you need help getting your project approved, we can guide you through the process.

Contact us today to book a strategy session, and get started on moving forward on your DXP project.

 

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Tags: Marketing, Operations, Digital Transformation, Strategy, MarTech, Digital Engagement, CX, Customer Experience, Customer Experience Innovation, MOps

Marketing Operations or MOps: What is it all about and why should you care?

Posted by Dan Shaw on Mar 10, 2025 9:35:57 PM

If you’ve spent any time in marketing leadership, you’ve probably heard the term Marketing Operations (MOps) tossed around. Maybe you associate it with automation platforms, dashboards, or campaign execution. And sure, those things are part of it. 

But MOps isn’t just about keeping the lights on.  It is the engine that drives scalable, efficient, and high-performing marketing teams.

Right now for many businesses, budgets are tight, consumer expectations are high, and new MarTech solutions are hitting the market at breakneck speed.  So companies can’t afford to ignore the operational backbone of their marketing function. 

The problem? Most organisations don’t know where to start. 

Key takeaways:

 

To break through the MOps Maturity Gap, companies must: 

  • Prioritise process over tools – Avoid the "shiny object syndrome" and focus on foundational operations.

  • MOps is more than just automation. It’s about process, efficiency, and scale.
  • Without MOps, marketing execution slows down, data becomes unreliable, and cross-functional misalignment increases.
  • If your marketing feels reactive, data is unreliable, or campaign execution is slow, it’s time to invest in MOps.
  • A well-structured MOps function drives efficiency, improves data integrity, and ensures seamless marketing execution

What MOps actually is (and what it’s not). 

Let’s start with what MOps is not: 

  • It’s not just automation tools.
  • It’s not just a team of "spreadsheet wizards".
  • It’s not a “nice-to-have” function that only enterprises need. 

MOps is the process, strategy, and technology that enables marketing to operate at scale.  At its core, MOps ensures that marketing teams can:

  • Launch and optimise campaigns efficiently
  • Maintain data integrity and reporting accuracy
  • Enable cross-functional collaboration between sales, product, and IT
  • Improve customer experience by ensuring seamless communication across touchpoints 

Think of MOps as the operating system of marketing - aligning people, processes, and platforms to remove friction and accelerate results. 

And here’s the key takeaway: without MOps, even the best marketing strategy falls apart in execution. 

The biggest pain points MOps can solve.

If you’ve ever worked on a marketing team, you’ve probably run into at least one of these challenges: 

1. Campaign execution is slower than it should be

Ever tried launching a campaign and found yourself buried in endless approvals, manual data imports, or disjointed tools that don’t talk to each other? 

MOps eliminates these bottlenecks by: 

  • Standardising workflows;
  • Automating repetitive tasks; and
  • Reducing dependency on it for campaign execution.

2. Marketing data is a mess (and no one trusts it)

Data is the fuel for modern marketing, but most teams struggle with duplicate records, missing fields, and inconsistent tracking. 

MOps steps in by: 

  • Establishing data governance policies;
  • Enforcing standardised naming conventions and tagging; and
  • Ensuring crm, marketing automation, and analytics platforms are in-sync.

3. Sales and marketing aren’t aligned

Ever had sales complain that marketing leads aren’t qualified? Or marketing blame sales for not following up? 

MOps helps bridge the gap by: 

  • Aligning lead scoring and attribution models;
  • Setting up service-level agreements (SLAs) between marketing and sales; and
  • Ensuring seamless handoffs between teams.

4. New technology is added without a strategy

The martech landscape is evolving faster than ever, but buying new tools without a clear operational plan creates more problems than it solves. 

MOps prevents this by: 

  • Conducting martech audits to assess what’s working and what’s redundant;
  • Creating a technology roadmap that supports business objectives; and
  • Training teams to fully leverage tools (because what good is a CRM if no one uses it properly?).

If any of these challenges sound familiar, you’re not alone.  

When your business needs a dedicated MOps function. 

So, how do you know when it’s time to invest in MOps as a dedicated function rather than an ad-hoc responsibility?

Here are some clear signs: 

  • Marketing feels reactive, not proactive. If your team is constantly firefighting instead of executing strategic initiatives, MOps can help stabilise operations.
  • Your MarTech stack has more tools than people. If you’re constantly buying new software but not seeing efficiency gains, MOps can bring structure to your tech investments.
  • Scaling marketing feels impossible. If launching campaigns takes longer than it should, or every new initiative feels like reinventing the wheel, MOps can create repeatable processes to enable faster execution.
  • Data inconsistencies are leading to poor decision-making. If you can’t confidently report on performance because of bad data, MOps can establish data governance frameworks to clean up your reporting.
  • Cross-functional friction is slowing growth. If marketing, sales, and product teams aren’t aligned, MOps can facilitate better collaboration and knowledge sharing. 

At some point, every organisation outgrows its scrappy marketing approach and needs a more structured foundation. 

How to structure MOps for growth.

Once you realise your business needs MOps, the next step is structuring it the right way.  Here is our steps to making it happen: 

1. Start with the right leadership

MOps isn’t just an entry-level role - it needs leadership. Whether it’s a Head of Marketing Operations or a dedicated team lead, someone needs to own the function and drive alignment across marketing, sales, and technology. 

2. Define core responsibilities

Common MOps responsibilities include:: 

  • Automation of campaign processes
  • Governance of Marketing data
  • Management of the MarTech stack
  • Performance analytics and attribution
  • Alignment of Sales and Marketing 

Avoid the trap of turning MOps into a catch-all for random tasks.  It should be laser-focused on operational excellence.

3. Build a MarTech roadmap 

Instead of chasing the latest shiny object, prioritise investments in tools that solve real business problems.

Key categories to evaluate: 

  • CRM and Marketing Automation
  • Analytics and Attribution
  • AI and Personalisation Engines
  • Integration and Data Management 

4. Standardise workflows and documentation

MOps should own the playbooks that enable marketing to operate at scale. Standard campaign launch checklists, automation workflows, and reporting templates can dramatically increase efficiency. 

5. Make continuous optimisation part of the culture 

MOps is not a “set it and forget it” function. It should constantly evolve, refining processes, testing new approaches, and staying ahead of industry shifts. 

 

Final thoughts: MOps is a competitive advantage.

Marketing without MOps is like a Formula 1 car without a pit crew - it might be fast, but it’s not efficient, and it won’t last long. 

Companies that prioritise MOps will move faster, execute better, and create exceptional customer experiences, while other may struggle to keep up. 

So if you think your marketing function might not be running at its full potential or are unsure about where to start on your MOps journey, then contact us for a strategy session to map out the next steps for your MOps.  

 

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Tags: Marketing, Operations, Digital Transformation, Strategy, MarTech, Digital Engagement, CX, Customer Experience, Customer Experience Innovation, MOps

Microsoft Copilot, is it still the right choice for Australian organisations?

Posted by Steven Muir-McCarey on Feb 17, 2025 3:24:43 PM

The AI Adoption Dilemma: Control or Convenience?

With the year truly under way In 2025, those organisations that are focused on their AI adoption path are being confronted with a new question. Do you own your AI future , subscribe to it or just rent it.

Enterprise and government leaders are standing at a fork in the road. On one side: Microsoft Copilot, promising instant productivity gains and seamless integration into the tools you already know. On the other: Frontier AI offerings , open-source and self-hosted AI models that offer sovereignty, specialisation, and long-term control, but demand strategic investment.

This decision has become more than technical. It’s now a boardroom-level conversation about data control, cost architecture, compliance, and resilience. And increasingly, it’s defining the shape of enterprise ecosystems going forward.

 

Microsoft Copilot: Seamless, Scalable—and Subtly Limiting

Microsoft hasn’t just created an AI assistant, it’s embedded itself as the default enterprise operating layer for generative AI even if that package comes with Open AI models under the hood. With deep integrations across Microsoft 365, Teams, and Azure, Copilot is frictionless to deploy and familiar for users.

The Drawcards:

  • Enterprise-Grade Integration: Reduces onboarding and change fatigue.
  • Built-In Security & Compliance: Aligns with global regulations, especially appealing for regulated industries.
  • No Infrastructure Overhead: Microsoft abstracts away complexity.

But convenience is never free—and rarely neutral.

The Strategic Trade-Offs:

  • Escalating Licensing Costs: Per-user pricing models may look simple today but compound over time.
  • Vendor Lock-In: Deep dependency on a single ecosystem can limit future flexibility.
  • Generic Intelligence: Copilot’s large-scale training isn't optimised for industry-specific intelligence needs. Although, in recent days Microsoft has being toying with additional models to run with in their ecosystem outside of just Open AI’s.

Microsoft updated Pricing Structure

With the introduction of tiered Copilot offerings, organisations can now access AI capabilities at multiple levels of commitment, including a free GPT-powered “Think Deeper” tier, consumption-based models in Microsoft 365, and full integration across the suite via Copilot Pro and Copilot for Microsoft 365.

Tier

Price

Notes

Co-Pilot

Free

Limited access to advanced reasoning, beyond standard GPT

Microsoft 365

Co-Pilot Chat

Free (with usage-based billing)

Chat interface within Microsoft 365

Co-Pilot Pro

~$20/user/month USD

Individual users, enhanced Office integration

Full M365 Co-Pilot

~$30/user/month USD

Enterprise-grade GPT embedded across the suite

Note: The details in the table above are based on publicly available information as of March 2025 and may be subject to change. Pricing, features, and availability may vary by region or enterprise agreement. Organisations are advised to consult Microsoft or their licensing partner directly for the most current and accurate information.

These moves are smart, commercially and technically. But they also reinforce a reality many organisations are now confronting: ecosystem convenience often comes at the cost of flexibility, visibility, and true AI strategy ownership.

With that said, by mid-2025, 68% of Fortune 500s will have deployed Copilot, but beneath that figure, many are quietly exploring “Where to Next”【TechFinitive, 2025】.

 

The Open-Source Resurgence: Control at a Cost

Open-source and self-hosted AI models—such as Deepseek, Mistral, Gemma and Llama but a few, are reshaping how forward-thinking enterprises can approach data, capability, and control.

This isn’t just about saving money. It’s about sovereignty.

Why Enterprises Are Reclaiming Control:

  • Cost Efficiency Over Time: Avoiding SaaS lock-in and pricing inflation.
  • Data Sovereignty: Keeping access to sensitive data inside your perimeter—especially important under the EU AI Act and GDPR.
  • Customisable AI: Fine-tune models for sector-specific workloads (e.g. legal discovery, mining analytics, clinical reasoning).
  • Ecosystem Independence: Retain freedom over where, how, and why your AI runs.

But sovereignty comes with responsibility.

The Barriers to Entry:

  • Infrastructure Investment: GPUs, storage, and AI engineering capacity aren’t trivial.
  • Operational Complexity: Cloud AI scales effortlessly—on-prem models require precise capacity planning.
  • Talent Dependency: Unlike SaaS tools, self-hosted AI requires sustained in-house capability.

The good news? The ecosystem is evolving rapidly. Companies like NVIDIA are reducing barriers with edge computing accelerators and vertical AI deployment blueprints【NVIDIA GTC, 2025】.

 

Strategic Choices: Aligning AI Architecture to Risk and Resilience

AI adoption in 2025 isn’t just a technology choice—it’s a risk governance and capability development strategy.

Deployment Model

Advantages

Risks & Limitations

SaaS AI (Microsoft Copilot)

Low-friction rollout, baked-in compliance, vendor support

High long-term costs, data dependency, limited customisation

On-Prem AI (Self-Hosted Models)

Full control, data sovereignty, tailor-fit AI

Requires infra, talent, and ongoing optimisation

Hybrid AI (SaaS + On-Prem)

Strategic balance of control and scale

Complex integration, needs intentional governance

 

Industry Shifts: Who’s Choosing What in 2025?

Government & Financial Services

  • Trend: Hybrid and on-prem models
  • Drivers: Regulatory pressure, national security, vendor independence

Healthcare & Legal

  • Trend: Private, specialised AI
  • Drivers: Data sensitivity, auditability, ethical compliance

Retail & E-Commerce

  • Trend: Cloud-native AI (OpenAI API, Copilot)
  • Drivers: Speed, scale, experimentation

 

The Compliance Curve: From Convenience to Control

Rising regulatory frameworks, like the EU AI Act and Australia’s AI Ethics Principles—are pushing organisations toward zero-trust architectures and private AI deployment.

  • AI Governance is now board-level: ethics, explainability, and bias mitigation can’t be outsourced.
  • Cybersecurity is front and centre: AI APIs introduce new threat surfaces.
  • Data Residency matters more than ever: especially in healthcare, defence, and cross-border industries.

In this new environment, private AI becomes a shield—not just a tool.

 

Our Perspective: Ecosystems, Not Endpoints

The future of AI adoption isn’t a binary between Copilot and open-source—it’s about designing an architecture that reflects your risk appetite, regulatory environment, and growth intent.

Here’s how we help you map it:

  • Blueprint your AI ecosystem: Define the right mix of SaaS, private, and hybrid AI aligned to compliance and control goals.
  • Run pilot programs: Test-drive open-source models (Deepseek, Llama, Mistral) in isolated workloads before scaling.
  • Create a cost-control roadmap: Identify where licensing bloat or infrastructure overspend will creep in.
  • Align with emerging AI governance: Ensure your models and your vendors are compliant with evolving frameworks.

 

Final Word: You Don’t Just Need AI—You Need AI You Can Trust

AI is no longer a tool or set of tools you add to your stack, it’s becoming the invisible infrastructure shaping how your business operates, competes, and complies.

That’s why we don’t just help organisations use AI—we help them own their AI trajectory.

Ready to take control of your AI future?

LuminateCX’s AI Strategy Blueprint helps you move beyond vendor-led adoption and into strategic AI ownership. We work side-by-side with CIOs, CTOs, and transformation leaders to design sovereign AI ecosystems that are compliant, scalable, and built to last.

  1. Want clarity on your Copilot vs. open-source roadmap?
  2. Need to reduce AI cost exposure without losing capability?
  3. Looking for a trusted guide through the AI governance maze?

Let’s design your AI Blueprint.

 

Tags: AI, AI Revolution, AI distruption in SaaS, Open Source, Microsoft

From Executive to Execution: Defining the Future of Marketing Ops

Posted by Dan Shaw on Feb 13, 2025 11:27:33 AM

Marketing Operations (MOps) is no longer a back-office function. It’s not just about executing campaigns, generating reports, or making sure Salesforce and Marketo “talk” to each other. Today, MOps is the defining factor in whether a marketing team can scale and deliver meaningful customer connections. 

Yet, there’s a problem—most companies are stuck. 

Looking through the lens of Darrell Alfonso’s Marketing Ops Maturity Model, most companies alternate between the Basic and Managed stages of maturity, never quite breaking into Strategic or Foresight-driven operations. The disconnect? Strategy and execution operate in silos, leaving marketing leaders frustrated as bold visions fail to translate into reality.

 

Key takeaways:

 

To break through the MOps Maturity Gap, companies must: 

  • Prioritise process over tools – Avoid the "shiny object syndrome" and focus on foundational operations.

  • Align strategy with customer value – Move beyond vanity metrics to real business impact.

  • Shift from execution to enablement – MOps should empower marketing, not just execute requests.

  • Build operational foresight – Leverage AI, automation, and structured workflows to anticipate market changes.

  • Establish accountability – Create clear frameworks that connect high-level strategy with tactical execution.

The Maturity Gap - why companies stall. 

The model that Alfonso presents (See below Marketing Ops Maturity Model) provides a clear path forward, showing how teams evolve from: 

  1. Basic – Reactive, disorganised, and campaign-focused 
  2. Managed – More structured, but still struggling with cross-functional alignment 
  3. Strategic – Operations integrated into decision-making and business outcomes 
  4. Foresight – AI-driven, predictive, and fully optimised for customer experience 

Image from Darrell Alfonso’s Marketing Ops Maturity Model.

 

In my experience, I believe that over two thirds of companies hover between the first 2 stages, with many never making it into the high performing stages. 

Having spent nearly two decades leading in-house marketing teams and advising organisations on their operational challenges, I’ve seen firsthand why companies get stuck. It’s not a lack of budget, talent, or tools. It’s culture, process gaps, and the inability to bridge executive strategy with execution. 

The two biggest barriers to success.

1. The Culture vs. Tools Fallacy

Many teams assume that better tools equal higher maturity. This is not the case. 

Companies spend millions on shiny new tech—Customer Data Platforms (CDPs), AI-powered automation, and predictive analytics—only to underutilise them. Without a shift in capabilities, process alignment, and cultural readiness, technology investments become expensive clutter. 

Real progress requires: 

  • Prioritising process over platform – Fix the underlying workflows before adding more tools
  • Building enablement over execution – Marketing Ops should empower, not just deliver
  • Fostering a culture of alignment – Technology should serve a cross-functional strategy, not operate in isolation

2. The Vertical-Execution Gap

Marketing teams struggle to translate executive vision into scalable execution. 

Example: A CMO announces a customer-first strategy. But the campaign team is still optimising for MQLs and lead gen, creating a fundamental misalignment. KPIs, measurement frameworks, and tactical execution remain disconnected from the strategic intent. 

Without a bridge between vision and execution, organisations suffer from: 

  • Quality-capped output – Teams constantly firefighting instead of innovating
  • Underutilised tools – MarTech stacks that never reach their full potential
  • Burnout-prone teams – Overworked employees delivering disjointed results
  • Customer experience gaps – Strategies that fail to translate into meaningful engagement 

 

The Playbook for Breaking Through 

So how do you evolve from Basic to Strategic, and ultimately to Foresight-driven operations? 

Here’s the Marketing Ops Code—the five key shifts that separate high-performing teams from the rest.

1. Reframe Marketing Ops as a Strategic Function

MOps is not an execution-only role. It’s the operating system for marketing success. 

Action Step: Bring MOps into leadership conversations. Align marketing operations with CX, revenue strategy, and business impact—not just campaign delivery.

2. Design for Scalability and Adaptability

Teams that scale have documented, flexible processes—not just tribal knowledge. 

Action Step: Create adaptable workflows that balance structure with agility. Establish a Project Management Office (PMO) to ensure execution aligns with strategic goals.

3. Connect the Data Dots

Your MarTech stack shouldn’t be a collection of disconnected tools. It should be a cohesive system that drives insights and decision-making. 

Action Step: Audit your current data flows. Identify gaps in measurement, integration, and cross-functional collaboration. Eliminate redundant tools and unify data sources.

4. Build a Culture of Experimentation

High-performing teams test, iterate, and optimise continuously. They leverage AI not as a crutch but as an accelerator for efficiency and customer understanding. 

Action Step: Establish a test-and-learn initiative where 5-10% of your budget is dedicated to AI-driven experimentation. Focus on predictive analytics, real-time personalisation, and automation pilots.

5. Bridge Strategy to Execution with Clear Accountability

Aligning marketing strategy with execution requires a structured accountability framework. 

Action Step: Map executive objectives to day-to-day operations. Ensure every high-level strategy has a clear execution framework, with ownership, milestones, and success metrics. 

The Future Belongs to the Ops-Driven Marketer 

Marketing leaders today want to be able to scale output whilst still retaining a deep customer connection - but if we are honest about it, most teams are stuck in the execution weeds, and if a operational backbone is lacking then it falls apart in the day-to-day grind.

And for those who can crack the MOps code, they won’t just keep up—they’ll lead the pack in the coming years of change.

To summaries, here is what I believe will separates the best from the rest:

  • Shift from execution to enablement – MOps isn’t just a support function; it should empower the entire marketing org to operate smarter, faster, and with real impact.
  • Align strategy with customer value – Drop the vanity metrics. If your ops aren’t driving real customer impact, they’re just busywork.
  • Build operational foresight – AI, automation, and streamlined frameworks aren’t future trends—they’re table stakes for scalable marketing.

If your team is ready to stop reacting and start leading, it’s time to bridge the gap From Executive to Execution. 

Where does your MOps team stand today?

If you’re stuck between Basic and Managed, now is the time to break the cycle. The companies that crack the Marketing Ops Code will not only reach Foresight-level operations—they will define the future of marketing.

Take the next step:

  • Assess your MOps maturity – Identify where your team stands and pinpoint operational gaps.

  • Pilot a small but impactful process improvement – Start with one initiative, like automation, data integration, or campaign execution.

  • Start bridging the strategy to execution gap – Align your marketing objectives with operational excellence.

If you are ready to transform your Marketing Ops and unsure on how to start, then contact us for a strategy session to map out your MOps evolution.

Let’s turn your vision into execution—and execution into growth.

 

 

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Tags: Marketing, Operations, Digital Transformation, Strategy, MarTech, Digital Engagement, CX, Customer Experience, Customer Experience Innovation, MOps

Disrupt or Be Disrupted: AI’s Impact on SaaS, and the Future of Innovation

Posted by Steven Muir-McCarey on Jan 22, 2025 10:50:05 AM

What if your next big idea could go from concept to reality before the day ends—without writing a single line of code?

For years, businesses have relied on complex SaaS tools and developers to execute their ideas. But what if there was a faster, smarter way?

Generative AI is transforming how software is created, bridging the gap between ideation and execution. Tools like Claude, ChatGPT, and Gemini 2.0 have evolved from assistive technologies into the backbone of modern development workflows. Meanwhile, other emerging models like Deepseek-v3, Gwen 2.5 and platforms such as Bolt.new, Windsurf continue to push the boundaries of what’s possible, driving significant advancements in coding through natural language prompting.

Features like coding from natural language prompts, automated code reviews, and seamless integration into environments like Visual Studio empower businesses and individuals alike to innovate at unprecedented speed and scale. But with these capabilities come challenges, particularly for traditional software models and established development practices.

Key takeawaysDisrupt or Be Disrupted_ AI’s Impact on Software, SaaS, and the Future of Innovation - visual selection_final2025

The Democratisation of Coding

 
Breaking down barriers

Generative AI is dramatically reducing the barriers to coding, elevating individuals without technical expertise to turn ideas into functional applications. For businesses, this means faster prototyping and innovation cycles. For individuals, it creates opportunities to build custom tools without depending on developers.

From idea to deployment in hours

Imagine waking up with an idea and launching a working prototype before bedtime. Platforms like Bolt by Bolt.diy make this a reality—enabling users to build and deploy AI-driven applications with minimal coding expertise.

With Bolt’s intuitive, low-code/no-code framework, creative thinkers can design custom tools, workflows, and dashboards in hours instead of weeks. Whether you need an internal project management app or a real-time analytics dashboard, Bolt simplifies the process, leveraging AI to handle much of the heavy lifting.

Generative AI removes the barriers traditionally associated with software development, empowering businesses to move from concept to execution with unprecedented agility.

 

AI’s Disruption of Traditional Software & SaaS Models

Empowerment vs. Disruption

Generative AI tools will enable users to take control of their own software creation, allowing them to bypass traditional IT workflows. By enabling individuals to prototype, edit, and customise applications through natural language, these tools reduce reliance and restrictions on pre-packaged SaaS solutions.

Much like Excel once empowered users to bypass rigid, corporate-approved reporting tools in favour of flexible, customised solutions, generative AI takes this concept further. It allows users to build entirely new applications or modify existing systems with unprecedented ease.

This evolution challenges the traditional value proposition of SaaS providers, forcing them to reconsider how they add value in an AI-driven landscape. While this opens up incredible opportunities for innovation, it also presents a clear threat to traditional SaaS providers. The same platforms that enable these AI capabilities introduce competing systems, potentially pulling users away from established ecosystems and revenue models.

Changing Revenue Models

Historically, SaaS providers have relied on recurring revenue through feature-gated subscriptions and incremental updates. However, as AI-driven platforms enable users to create tailored solutions on demand, these traditional models could face increasing disruption.

If a user can build a bespoke application or tool using their own data to meet specific needs, does this compete with SaaS solutions that may only offer similar functionality as part of a premium upgrade or locked feature set? The flexibility and immediacy provided by AI-driven tools challenge the value proposition of SaaS models that prioritise feature gating and tiered pricing.

This shift mirrors the earlier rise of modular tools, where users opted for flexibility and control over one-size-fits-all software solutions. Today, AI takes this concept further by offering dynamic, on-demand application development without the constraints of pre-built platforms.

AI as the Core Platform

The fundamental shift lies in how organisations consume software. AI platforms are poised to increasingly become the core operating systems for businesses, with data serving as the foundation.

Businesses are no longer limited to pre-built SaaS solutions. Instead, AI frameworks allow organisations to create, deploy, and scale custom applications that adapt to their evolving needs. This transition moves software consumption away from static feature sets to dynamic, AI-enabled ecosystems that prioritise flexibility and scalability.

AI-Centric Platforms vs Traditional SaaS

As generative AI continues to reshape how software is conceived, developed, and deployed, businesses face a critical decision: Do they maintain reliance on traditional SaaS platforms or move toward an AI-driven ecosystem as the core of their operations? This section examines the current strengths of SaaS, the evolving landscape of AI-centric platforms, and the practical steps needed for organisations to manage this transition effectively.

Current Strengths of SaaS Platforms

  1. Maturity and Reliability
    Traditional SaaS platforms enjoy years—if not decades—of proven track records. They offer stable infrastructure, dependable uptime, and robust performance under high user loads. Established providers like Salesforce, Microsoft 365, and SAP have long histories of iterative improvement, making them trusted choices for mission-critical tasks.
  2. Comprehensive Features
    Many SaaS products cover a wide range of business needs—from customer relationship management to advanced analytics—packaged within a single, integrated environment. This breadth of functionality reduces the complexity of managing multiple point solutions.
  3. User-Friendly
    Most SaaS platforms are designed with usability in mind, lowering the barrier to entry for non-technical staff. Features like drag-and-drop interfaces, guided workflows, and extensive knowledge bases make it easier for new users to get onboard quickly.
  4. Support and Ecosystems
    Mature SaaS solutions often have comprehensive support channels, including 24/7 help desks, user communities, and accredited partners. Ecosystems of third-party plugins or add-ons also enhance their versatility, allowing businesses to expand capabilities with minimal custom coding.
  5. Compliance and Security
    Organisations that need to adhere to strict data privacy and regulatory guidelines (e.g., healthcare, finance) often prefer SaaS platforms because they typically provide vetted security measures, regular compliance updates, and transparent audit trails. This “out-of-the-box” compliance can speed up deployment for risk-averse sectors.

The Evolution Towards AI-Driven Platforms

  1. AI Capabilities
    AI-centric platforms harness advanced models such as ChatGPT, Claude, or Gemini 2.0 to automate logic, generate custom code, and offer real-time decision support. Rather than manually configuring workflows, users can simply describe a desired outcome in natural language, and AI handles the complexities.
  2. Dynamic Data Handling
    These platforms ingest and analyse data from multiple sources in near real-time—whether it’s customer interactions, supply chain updates, or social media trends. This ability to act on live data means faster pivots when market conditions change or new opportunities arise.
  3. Customisation
    Low-code/no-code interfaces allow for highly bespoke solutions tailored to unique departmental or organisational needs. This democratises innovation, enabling teams without deep IT support to build and modify applications as requirements shift.
  4. Predictive Modelling
    AI-powered predictive analytics make it possible to anticipate user demands, spot growth opportunities, and flag risks early. For instance, retail businesses can automatically adjust stock and marketing campaigns based on real-time purchasing trends, while financial institutions can predict fraud patterns before they become critical.

Barriers and Requirements for Transition

  1. Advanced AI Models
    Running large-scale AI models demands substantial computational resources and sophisticated data management pipelines. Organisations must ensure they have the right infrastructure—be it on-premise GPU clusters or cloud-based services—to handle training and inference workloads.
  2. Data Management and Security
    Moving to an AI-driven system entails feeding more data—sometimes sensitive or confidential—into automated processes. Proper governance, encryption, and privacy safeguards are non-negotiable. If these controls are weak, the risk of breaches or non-compliance skyrockets.
  3. Integration
    Even the most powerful AI platform is only as valuable as its ability to communicate with other systems. Seamless integration with existing ERPs, CRMs, or customer support tools is essential for continuity and overall user adoption.
  4. Ethical and Regulatory Compliance
    AI intensifies ethical considerations around bias, transparency, and data usage. Clear policies, oversight committees, and robust model-testing frameworks are needed to align with regulations and maintain stakeholder trust.
  5. Adoption
    Organisational culture must adapt to an AI-first mindset. Ongoing staff training, change management initiatives, and cross-functional collaboration are vital to ensure that generative AI solutions are embraced rather than resisted.

Benefits of AI-Driven Models

  1. Efficiency and Cost-Saving
    Automated workflows reduce manual intervention, freeing up employee time for higher-value tasks. In many cases, AI-generated code or automated testing can drastically cut project timelines and operational costs.
  2. Informed Decision-Making
    AI platforms provide real-time, data-rich insights that foster agile, fact-based decisions. Predictive analytics can alert stakeholders to emerging trends, enabling proactive adjustments before issues escalate.
  3. Agility
    Because teams can rapidly create, update, or even discard AI-generated applications, organisations become more resilient. When market changes or new opportunities appear, AI-centric platforms allow quick recalibration of tools and processes.
  4. Enhanced Competitive Edge
    Businesses that integrate AI at the core are often able to innovate faster than competitors reliant on rigid SaaS suites. In highly competitive markets, the ability to spin up bespoke features or respond instantly to customer feedback can be a game-changer.

Practical AI Integration Strategies

  1. Tools and Frameworks
    Major cloud providers (Google Cloud, AWS) and emerging platforms (Synerise, Salesforce Agentforce) offer AI-driven insights, natural language processing, and workflow automation. Selecting the right ecosystem depends on your industry, scale, and in-house expertise.
  2. Low-Code Solutions
    Platforms like Bolt, Bubble, and OutSystems allow users to build custom interfaces, connect data sources, and integrate AI capabilities with minimal hand-coding. This accessibility empowers smaller teams and speeds up development cycles.
  3. Real-Time Processing
    Incorporating predictive models into live systems can yield substantial returns—such as optimising resource allocation or anticipating customer demands. By feeding current data streams into AI engines, businesses can make adjustments in seconds rather than days.
  4. Dashboards and Visualisations
    Tools like Tableau or Power BI can be layered on top of AI-driven data lakes to provide at-a-glance performance metrics, anomaly detections, and forecasting. Visual dashboards simplify complex analytics and foster collaborative decision-making.

Long-Term Vision

As AI platforms mature, they will move from supporting roles to becoming the backbone of business operations. Instead of simply augmenting existing systems, AI could evolve into a centralised, dynamic platform capable of real-time application development and orchestrating multiple business functions simultaneously. This future extends beyond static modules or bolt-on features, offering modular functionalities that adapt to organisational needs as they arise.

Ultimately, companies that seize this trend early stand to benefit from unprecedented speed, customisation, and competitive advantage—while those that remain solely reliant on static SaaS solutions risk being left behind. The transition may not be simple, but the rewards of an AI-first strategy are becoming increasingly clear: streamlined processes, data-driven insights, and limitless potential for innovative growth.

 

Implications for SaaS Providers

To remain competitive, SaaS providers must embrace AI-first strategies and rethink their role as enablers of customisation and agility. This requires moving beyond static, pre-packaged products to offer frameworks, APIs, and AI-driven tools that allow businesses to develop and integrate bespoke solutions.

Salesforce’s Agentforce provides one example of this shift, demonstrating how a major SaaS provider is embedding AI capabilities to reduce reliance on external tools while enabling automation and workflows within its platform. It reflects how SaaS providers can evolve to meet rising expectations for flexibility while maintaining relevance in an AI-first world.

The broader challenge for providers lies in balancing openness and control—offering users customisation and integration options without losing their position as the core platform within organisations. Those that successfully adapt their ecosystems to support AI-driven flexibility will remain indispensable partners, while those that fail to evolve may face fragmentation and displacement.

Seizing the Opportunity

As businesses embrace generative AI, they must prepare for this paradigm shift. Organisations need to assess how AI tools can align with their operational goals, ensuring they remain agile in an increasingly dynamic software landscape.

Next Steps for Businesses:Disrupt or Be Disrupted_ AI’s Impact on Software, SaaS, and the Future of Innovation - visual selection_DT_final2025

  1. Assess AI Readiness – Conduct an internal evaluation of existing systems and processes to determine AI adoption feasibility.
  2. Experiment with AI Development Tools – Test generative AI platforms to explore how they can enhance workflows and solve specific challenges.
  3. Collaborate with AI Specialists – Work with partners who can provide structure, strategy, and insight to optimise AI integration.
  4. Reassess SaaS Dependencies – Identify areas where bespoke AI solutions could replace or enhance pre-packaged SaaS offerings.

At the same time, SaaS providers must rethink their strategies, focusing on integration, scalability, and partnerships rather than static feature delivery. Businesses that act early to integrate AI-first strategies will not only stay competitive but will also lead the charge.

Conclusion

Generative AI  is weaving into many facets of business technology and process which tells us that it's no longer the side character and is rapidly becoming the core driver of how businesses will innovate, operate, and compete. By moving beyond the limitations of traditional SaaS models, organisations can rapidly prototype, iterate, and deploy bespoke solutions that adapt in real time to evolving market demands. Yet, success demands more than simply choosing the right tools; it requires strategic foresight, robust frameworks, and a willingness to embrace change at every level.

From accelerating development cycles to delivering proactive insights, AI-centric platforms offer unprecedented flexibility, agility, and competitive edge. Those who act now stand to lead their industries—while those who remain tethered to rigid SaaS paradigms may be left behind. The future belongs to organisations prepared to integrate AI deeply, ensuring it’s a foundational cornerstone rather than a peripheral novelty.

Strategic AI Adoption Starts Here—Partner with LuminateCX

The shift from traditional SaaS models to AI-driven platforms isn’t just a technological evolution—it’s a business imperative. Generative AI is empowering organisations to innovate at unprecedented speed, transforming ideas into scalable, custom solutions in a matter of hours. But navigating this paradigm shift requires more than tools—it demands strategic foresight, structured frameworks, and a clear understanding of your unique challenges.

At LuminateCX, we don’t just help you adopt technology; we guide you to reimagine what’s possible. If your business is:

  • Frustrated by the rigidity of traditional SaaS tools,
  • Struggling to integrate AI into existing systems, or
  • Seeking faster, more tailored solutions to meet evolving needs,

…it’s time to start the conversation, so contact us today.

Through our Evolve Framework, we align your vision with actionable strategies, ensuring every investment in AI, MarTech, or data drives measurable outcomes. From a quick Pulse scoping conversation to our in-depth Spark Workshops, we tailor our guidance to meet you where you are—helping you define, design, and deploy solutions that keep you ahead of the curve.

Let’s Take the First Step Together

Discover how generative AI can transform your business and solve your most pressing challenges. Book a no-obligation discovery session today to uncover opportunities tailored to your needs. Together, we’ll shape your organisation’s future—turning AI’s potential into real-world success.

Tags: AI, Digital Transformation, LLM, AI distruption in SaaS, Low-code no-code platforms, Future of SaaS with AI, AI and SaaS revenue models

From Niche to Necessary: XR Glasses with AI to Dominate 2025

Posted by Steven Muir-McCarey on Dec 20, 2024 4:49:56 PM

 

As 2024 comes to a close, we find ourselves at a pivotal moment in the evolution of the extended reality (XR) ecosystem. What was once a niche technology confined to bulky headsets has now shifted toward sleek, AI-powered glasses, signalling a new era for consumer wearables. The fusion of lightweight form factors with advanced AI capabilities is not just a technological leap—it’s a reimagination of how we interact with the digital world.

Here’s a reflective look at the defining moments of 2024 and why 2025 may mark the beginning of a transformative race to dominate the next frontier in technology.

Key Moments in 2024: XR and AI Integration

2024 has seen a groundswell of innovation in XR and AI, especially in the wearable space. Lightweight glasses with augmented vision and AI assistants have taken centre stage, heralding a shift from novelty to mass-market potential.

Meta's Orion Glasses: A Line in the Sand

Meta set the tone for the year with the reveal of its Meta Orion glasses. These AR glasses integrate cameras for spatial awareness, built-in AI assistants, and MicroLED displays for augmented vision—all in a lightweight 98-gram design. With the Orion glasses, Meta has positioned itself as a leader in the race for consumer adoption, offering a clear glimpse of XR’s everyday utility.

Learn More: Orion AI Glasses: The Future of AR Glasses Technology | Meta

Apple's Vision Pro: A Stepping Stone

Apple’s Vision Pro might not have shattered sales records, but it laid the groundwork for a more refined XR ecosystem. Despite a price point of $3,500, the Vision Pro’s sales exceeded 100,000 units in Q2 2024, showcasing consumer interest in premium XR solutions. Speculatively, 2025 may see Apple pivot towards lightweight, glasses-style wearables to capture a wider audience.

Google’s Android XR and Gemini 2.0

Google re-entered the XR scene with Android XR, a platform built on the existing Android framework, set to launch in 2025. Paired with Gemini 2.0, Google’s AI is poised to enable seamless integration across devices, from first-party offerings to third-party manufacturers like Samsung and Sony. This strategic move underlines Google’s ambition to play hard in this space to deliver AI-driven XR experiences.

Read more on Android XR: Google's AndroidXR

The Smaller Innovators

Beyond the tech giants, startups and smaller manufacturers have emerged as significant players in 2024. These innovators are targeting the sweet spot: lightweight glasses that combine augmented vision with an AI assistant in your ear. This segment is becoming increasingly competitive as startups aim to differentiate themselves through affordability and unique features.

Have a look at this the even realities offering Even Realities G1 | AR Smart Glasses | High Tech AI Glasses

Why 2025 is the Year to Watch

The momentum of 2024 is building toward a highly competitive race in 2025. This isn’t just about creating better hardware—it’s about capturing the ecosystem that will define the future of human-computer interaction. Here’s why this space matters so much:

1. Making AI Mainstream

The lightweight, wearable form factor of AI glasses offers the perfect vehicle to bring AI into the mainstream. Imagine an AI assistant that is not confined to a screen but lives in your ear, anticipating your needs, delivering real-time insights, and augmenting your daily experiences. This vision of AI as a companion could redefine how we view and utilise artificial intelligence.

solos® Smart Glasses | Your Smartglasses Partner | Solos Smartglasses

2. The Post-Mobile-Phone Era

The transition to AI-powered glasses represents a once-in-a-generation opportunity to reimagine the role of personal devices. For the past 25 years, the mobile phone has dominated the tech landscape. But with wearables, the playing field is wide open:

  • The OS: Who will control the operating system of these new devices? Android XR? A proprietary Apple OS? Something else entirely?
  • The Ecosystem: XR opens new doors for apps, integrations, and services that could surpass the current mobile-first model.
  • The App Store: Much like the rise of the mobile app economy, XR could spawn entirely new marketplaces tailored to AI-enhanced experiences.

This is a massive opportunity for companies to define not just the hardware but the entire ecosystem of the next wave of technology.

What’s at Stake?

2024 has proven that the XR industry is alive and well—vibrant, in fact. The push toward lightweight, AI-powered glasses is a direct response to the massive potential for wide consumer adoption. But it’s not just about selling hardware; it’s about who will shape the new rules of engagement in a post-mobile-phone world.

2025 will likely see intensified competition as companies, both big and small, fight to capture this emerging market. The stakes couldn’t be higher. Whoever gains control of this space will own not just the next wave of hardware but also the ecosystems and marketplaces that follow.

A New Race for Technological Dominance

As the sun sets on 2024, we stand on the brink of a new space race—not one for the skies, but for the future of our digital lives. Lightweight glasses with augmented vision and AI-driven assistants represent the convergence of innovation and opportunity. The question is no longer if this technology will replace the mobile phone, but who will lead the charge.

Are you ready to see the world differently?

 

At LuminateCX, we help organisations like yours secure direction with AI-powered XR to impact experiences, streamline operations and drive opportunities

Tags: AI, AI Personalisation, XR, Extended Reality

2024 in review and what lies ahead in 2025.

Posted by Dan Shaw on Dec 20, 2024 9:27:51 AM

I think for many of us, 2024 was not the year we expected it to be. Perhaps we thought it might be a slight continuation of 2023, but it turned out to be something entirely different. It’s been a wild ride for many organisations and individuals, marked by change, disruption, and, in some cases, chaos thrust upon them.

I’m likening 2024 to a warm-up for a much bigger race ahead in 2025 and beyond. 2024 feels like a year we can stamp as one that’s setting the stage for a new kind of future.

This week, I’ve taken some time to reflect on the year that has passed, and below are my thoughts—a bit of a summary, a wrap-up of sorts. I’ve also included my perspective on how next year might unfold.

For many individuals, it’s been a time of new beginnings—learning new skills, opening fresh chapters in life, and embracing change
.

Key takeaways:

 

Investing in CX delivers significant rewards: 

  • Independence is more important than ever.
  • Focus and prioritisation are about ten times more critical than they have been.
  • AI for Branding and Marketing has yet to truly take off.
  • The start of 2025 will be a "technology spring-cleaning" season.
  • Your applied knowledge will set you apart in the new year, particularly in how you focus on your people and processes.

The importance of independence.

For many years, businesses, individuals, agencies, and platform companies have operated in an ecosystem that regularly functions in silos. Many would argue that it hasn’t been as efficient or truthful as it needs to be. We’re all familiar with the referral game—the exchange between System Companies, Agencies and the client. Over the past few years, this dynamic has reached a point where the prioritisation of the right systems, tools, and processes has been overshadowed by referral fees or kickbacks.

Now, I’m not here to say that referrals or referral fees are inherently bad. What I’m emphasising is this: the primary focus for any organisation must be on implementing the right processes, systems, and people if they want to succeed. Here’s why:

  • AI is shortening time-to-market. Ideas that once took months to launch can now reach consumers in days or weeks, especially in the software and campaign space.  Get the right tech before someone else does.
  • AI is augmenting workflows, but many organisations are unprepared. Without the proper guardrails, AI doesn’t deliver effective or reliable output.
  • Most organisations have too much tech—or tech that isn’t tied to key business drivers. This creates operational bloat, inefficiencies, and confusion.
  • Neglecting customer experience will hurt even more in 2025. Customer expectations for service and delivery are now more immediate than ever. Any friction in the customer journey will become a glaring weakness.

It’s no longer inconceivable to expect that a campaign or idea should take a long time to be in-market, especially as most activities and ideas are now digital by nature.

This is where independent decision-making comes into play - having access to unbiased expertise gives organisations that speed to act quickly and stay ahead of the game.  Independence also provides the instant trust needed to make clear, confident decisions, and it can cut through the noise, offering clarity exactly when it’s needed most.

Focus and prioritisation. 

The need for effective prioritisation continues to build on the importance of independence. The reality for many organisations right now is that their resources have been depleted—particularly those that have had to make individuals and entire departments redundant over the past 12 months. Yet, there’s still an undeniable need to drive growth and deliver an outstanding customer experience, often with far fewer resources than before.

In my view, prioritisation and focus must permeate every area of the business. While this might sound obvious, the reality is that many organisations are still ineffectively prioritising their efforts. They’re choosing certain channels over others or prioritising specific programs and projects without a clear connection to their goals.

Everything must tie back to what the business is trying to achieve - What will move the needle in terms of the bottom line and optimising customer experience?

Here are some steps you can take to improve prioritisation:

  • Conduct a review of your customer experience and core business KPIs. Understand where you’re excelling and where there’s room for improvement.
  • Perform a system audit. Evaluate how each system contributes to customer experience and KPIs. Score them based on their direct and indirect impact.
  • Map your operational processes. Count the steps involved and score each one based on its impact on customer experience and business KPIs.
  • Undertake a “Keep, Kill, Rewrite” review. Apply this to systems and processes, and extend it to resourcing where feasible. However, because roles and responsibilities are varied, and interactions between departments can be nuanced, this can be a time-consuming but valuable exercise.

By focusing on these areas, organisations can ensure that their efforts are directed toward what truly matters and are aligned with both short-term and long-term goals.

Rapid acceleration of AI for Brand and Marketing  

I believe 2025 will mark a complete shake-up for the brand and marketing industry, especially from an AI perspective.

In my view, this change will touch all facets of brand and marketing—a statement that might spark some debate. Content is already undergoing a dramatic transformation. The volume of AI-led and AI-generated content on social platforms is astronomical, creating not only immense noise but also significant fatigue among audiences.

Media buying, which has been optimised for years, will see even shorter cycles of change—think programmatic for nearly all available channels. The next logical leap, in my opinion, is the elevation of AI into the more strategic realms of brand and marketing.

Here’s how I see it: imagine a CMO or Head of Marketing pitching a substantial budget for brand activity to their CEO, CFO, or board, only to have the proposal rejected. Often, the response is something like, “What’s the return on brand?” For many CMOs, it’s clear that larger investments in branding drive a ripple effect, positively impacting tactical outcomes. However, convincing executives who aren’t well-versed in this theory can be incredibly challenging. The result has been a natural shift toward deeper investments in measurable, one-to-one return channels.

I foresee these conversations becoming much easier over the next 12 to 18 months. We’ll see more platforms supporting branding within the context of driving performance, as well as greater adoption of performance-led optimisation across the full mix of channels and consumer touchpoints.

In short, I believe the acceleration of performance-led brand activity is coming sooner than we realise
. 

Spring cleaning technology in 2025

This past year many organisations faced tough decisions to let people or whole departments go, and experienced increased pressure to deliver results under rising costs. Naturally, this will push organisations to turn to the next layer: cost analysis of platforms and systems, or process performance review. This shift comes after roughly 15 years of relatively freewheeling technology purchases. Adding to this, several technologies are rolling out major changes and upgrades.

This creates an environment for "spring cleaning" of the tech stack, and I suspect the following questions will come to the forefront:

  • Which systems do we truly need?
  • What purpose are our current systems serving?
  • Are our platforms fully delivering on their promises?
  • What systems should we cut?

Unfortunately, for many organisations, the internal capability to analyse systems to the depth required is lacking. Leaning on platform providers for guidance about whether their own technology is still relevant often feels counterintuitive—like asking a vendor to assess their own value.

So, what’s the solution?

In my view, it all comes back to independence. Seeking an independent, unbiased, and experienced perspective is the fastest and most effective way to gain clarity on how to optimise and address your technology stack.

Applied knowledge the ultimate edge. 

In my view, applied knowledge is the "sleeper" that not enough people are considering. Expanding on this, it’s becoming incredibly easy to execute output, but the real difference lies in producing quality and consistent output that moves the needle and drives meaningful outcomes.

Think about it: how many times have you dealt with a business and thought, It would be so much better if they just did this or that? Or wondered, Why is it so hard for me to transact with this business? Or maybe, What are they trying to communicate, and what’s the value of the product or service they’re offering?

So, who has the answers to these questions? Industry-specific experts, staff members with deep experience within the organisation, channel specialists, and subject matter experts (SMEs).  Their applied knowledge serves as a fact-checking and quality control layer. If built into and operationalised within modern systems, it ensures that output is accurate, consistent, and aligned with business goals.

How can an organisation integrate more applied knowledge into their customer experience?

Start with a deep understanding of the customer journey and the resources available—both internal and external.  Organisations can then weave applied knowledge into the critical touchpoints of the customer experience that drive results.

If there isn’t a strong grasp of the current customer experience, the starting point should be an audit and review of the existing journey.

Ready to make CX your differentiator?

At LuminateCX, we help businesses unlock the competitive power of customer experience. If you’re ready to create a standout CX strategy, contact us for a Spark Session. Together, we’ll craft a plan to put CX at the heart of your competitive edge.

 

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Understanding the Shift to Composable DXPs: What CMOs and CIOs Need to Know

Posted by Anthony Hook on Dec 9, 2024 12:19:09 PM
In a previous article, we talked about the platform shift for Headless and Composable in the context of Sitecore. In this article we broaden this horizon for the context of all monolithic DXPs.
 
Did you know? 
You can also read more about this topic in detail, in our DXP Migration Guide.
 

The digital experience landscape is evolving rapidly, driven by shifting customer expectations, market dynamics, and technological advancements. For CMOs and CIOs, staying ahead means making critical decisions about digital experience platforms (DXPs). The move toward composable DXPs offers "unprecedented flexibility", but it also presents challenges that business leaders must navigate carefully.

Is a composable DXP the right choice for your organisation? Let’s explore how this shift impacts strategic decision-making, ROI, and operational efficiency, and how you can manage the risks involved.

Composable DXPs explained

A composable DXP breaks down the traditional, monolithic platform into modular components, such as content management, personalisation, analytics, and marketing automation, that can be adopted and integrated as needed. This approach leverages microservices, APIs, and cloud-native technologies to provide a flexible and scalable foundation for digital experiences. You may have heard the phrase MACH, to describe this also.

For CMOs: A composable DXP means, in theory, you can deploy best-of-breed tools to enhance customer engagement, personalise content delivery, and adapt marketing strategies more effectively.

For CIOs: It offers, in theory, the flexibility to integrate new technologies, optimise system performance, and reduce reliance on single-vendor solutions.

Why the change?

  • We have typically idealised the "all in one stack" approach, believing that the stack can be "brilliant" at everything.
  • We may, however, have our benchmarks wrong, we benchmark the all-in-one against the single capability vendors, assuming that is the standard.
  • We ended up buying standalone tools anyway, either through legacy, frustration, disconnected departments or more complex scenarios such as acquisition.

The reality is many of us got here today through blind technology-led decision making and the necessity to get content, campaigns and experiences in market.

Navigating DXP shift

The question is, are we making the same mistakes again when moving into this "new" composable world?

The Arguments Outlined

Agility & Adaptability

CMO Perspective CIO Perspective
Launch new campaigns, test innovative marketing tactics, and personalise customer journeys faster without being constrained by platform limitations. Respond quickly to evolving business needs by integrating new tools without overhauling the entire system.

Cost-Effective Investment

CMO Focus CIO Focus
Allocate budget to tools that drive measurable marketing outcomes rather than paying for unused platform features. Optimise IT spending by selecting components that align with business needs, avoiding costly all-in-one solutions that may not deliver full value.

Innovation and Competitive Advantage

CMO Insight CIO Insight
Stay ahead of competitors by easily integrating cutting-edge technologies like AI-driven personalisation or advanced analytics. Enable a future-proof architecture that supports continuous innovation without the need for disruptive platform migrations.

Improved Customer Experience

CMO Goal CMO Goal
Craft seamless and personalised customer experiences by integrating tools that excel in specific areas of marketing and customer engagement. Ensure a robust and reliable infrastructure that supports flawless execution of customer-facing initiatives.

In short, there is an argument to say that all these benefits and outcomes were the proposed benefits of an all-in-one monolithic stack... Is the re-investment of a major platform expenditure, to "get" a system that proposes the same benefits as you had before really worth it? Perhaps you need to let us be the judge?

Strategic considerations for CMOs and CIOs

Align with Business Goals

Ensure that the move to a composable DXP supports broader business objectives, such as improving customer acquisition, enhancing retention, or accelerating digital transformation. Do not just adopt technology because the tech vendor or the technical teams say so.

Conduct a Thorough Audit

Evaluate your current digital infrastructure, customer journeys, and operational processes and people to identify gaps and opportunities for composability.

Plan for Change Management

Implement a structured approach to managing the transition, including staff training, process updates, and stakeholder communication.

Partner with Experts

Engage experienced technology partners who understand the nuances of composable architectures and can guide you through the implementation process.

Measure ROI and Performance

Define clear KPIs to measure the success of your composable DXP strategy, such as customer engagement, time-to-market for new features, and cost savings.

Summary

Adopting a composable DXP brings undeniable flexibility, but it also comes with challenges that demand strategic foresight. One of the biggest hurdles is integration complexity. Marketing teams need tools that seamlessly connect to create smooth customer experiences, while IT teams face the task of ensuring these modular components work together without glitches. If integrations falter, the whole system risks becoming disjointed and inefficient.

Vendor lock-in and management overhead are also real concerns. While composability promises flexibility, in practice, certain tools may limit agility due to compatibility issues. Managing multiple components means more updates, security checks, and performance monitoring, which can overwhelm teams already stretched thin. Marketing workflows can also become tangled when too many tools are in play, complicating execution and data analysis.

Lastly, there are skill gaps and cost implications to consider. Both marketing and IT teams may need new skills to manage composable architectures effectively, which can delay progress. Financially, the upfront costs of integration and the ongoing expense of managing multiple vendors can add up quickly. Balancing these costs with the potential ROI is crucial to avoid a situation where the flexibility of composability ends up costing more than it delivers.

Conclusion

The move to a composable DXP represents a paradigm shift in how businesses deploy and manage their digital experience platforms.

If you need help and clarity, working with LuminateCX will unlock independent and unbiased clarity quickly for you.

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The Role of Customer Experience in Competitive Differentiation

Posted by Dan Shaw on Dec 6, 2024 5:03:53 PM

Today's markets are heavily saturated, where products and services often look remarkably similar, so one key factor that can set a business apart from the crowd is amazing customer experience (CX). If a company goes above and beyond to make its customers feel valued and understood, it is not hard to produce a positive business return.

Optimised CX is no longer a “nice-to-have.”, it is a must have that can make or break an organisation - it is the x-factor that keeps customers loyal in a world full of choices. But crafting a winning CX strategy requires more than offering great service. It demands a nuanced approach to building unforgettable brand experiences.

Key takeaways:

 

Investing in CX delivers significant rewards: 

  • Reduced churn: Minimising poor experiences reduces attrition. 
  • Increased referrals: Satisfied customers become enthusiastic advocates. 
  • Enhanced brand reputation: Exceptional CX strengthens your position in the market.  

Why CX is your competitive edge. 

There was a time when competing on price, product quality, or convenience alone could keep a brand ahead. Today, those factors are no longer enough. Customers now expect more: meaningful interactions, emotional connections, and understanding from the brands they choose. 

Consider this: in a world where your product can be easily replicated, CX becomes your unique differentiator. It's about how your brand makes people feel. Brands that excel in CX don’t just satisfy customers—they create advocates, triggering a ripple effect that drives growth. Research backs this up: 

  • Companies prioritizing CX see an 80% increase in revenue (Zippia, 2023). 
  • Customer-centric brands report profits 60% higher than their competitors (CX Index, 2023). 
  • A 5% increase in customer retention can boost profitability by 25-95% (EdUme, 2023). 

Step 1: Understand your customers on a deeper level. 

Creating a differentiated CX starts with understanding your customers deeply. Surface-level data like age or purchase history tells only part of the story. Dive deeper into motivations, emotions, and pain points. 

How to deepen customer understanding: 

  • Surveys and feedback: Regularly collect customer insights. Open-ended questions help uncover hidden frustrations and expectations. 
  • Customer journey mapping: Map every step of the journey to pinpoint disconnects and moments of delight. 
  • Customer personas: Build detailed personas incorporating psychographics like values and interests to guide your strategy. 

By understanding customers as individuals, you foster emotional connections and loyalty. 

 

Step 2: Personalise, don’t generalise.  

Today’s customers are savvy; they know when they’re being treated as just another number. Personalisation means tailoring every interaction to reflect the customer’s preferences and needs. 

Effective personalisation tactics: 

  • Relevant recommendations: Use data to suggest products aligned with customer behaviours. 
  • Tailored communication: Adjust messaging for first-time buyers versus loyalists. 
  • Exclusive offers and rewards: Personalised rewards build a sense of belonging and appreciation. 

With 72% of customers expecting personalised experiences (Fluent Support, 2023), moving from generic to tailored interactions is essential. 

 

Step 3: Ensure consistency across all touchpoints

CX excellence is not about isolated moments of greatness; it’s about seamless interactions across all channels. Customers want consistent experiences online, in-store, and everywhere in between. 

How to deliver consistent CX: 

  • Centralised customer data: Ensure all teams have access to unified customer profiles. 
  • Aligned messaging and tone: Consistency in tone across social media, email, and in-person interactions reinforces trust. 
  • Cross-channel coordination: Align promotions and information so all touchpoints reflect the same details. 

Remember, 85% of customers expect consistent interactions across departments (Nicereply, 2023). 

 

Step 4: Make your customer service exceptional. 

Customer service is the backbone of a great experience. It's where a brand’s commitment to satisfaction becomes tangible. 

Key practices for exceptional service: 

  • Empower your team: Equip staff with tools and autonomy to make decisions in real-time. 
  • Actively listen: Train teams to empathise and respond genuinely to concerns. 
  • Follow up: A quick check-in after resolving an issue shows dedication to satisfaction. 

Outstanding service builds advocates, with 82% of customers recommending brands based on great service alone (Nicereply, 2023). 

 

Step 5: Measure and adapt your CX strategy  

CX strategies must evolve with customer expectations and market trends. Regularly track key metrics and gather feedback to stay competitive. 

Metrics to track: 

  • Net Promoter Score (NPS): Gauge customer loyalty by asking how likely they are to recommend your brand. 
  • Customer Satisfaction Score (CSAT): Monitor satisfaction with specific interactions. 
  • Customer Effort Score (CES): Measure how easy it is for customers to achieve their goals. 

 

Ready to make CX your differentiator?

Where customers are increasingly selective, experience sets brands apart. By understanding your customers, personalising interactions, ensuring consistency, and delivering outstanding service, you can make CX the cornerstone of your strategy.

At LuminateCX, we help businesses unlock the competitive power of customer experience. If you’re ready to create a standout CX strategy, contact us for a Spark Session. Together, we’ll craft a plan to put CX at the heart of your competitive edge

 

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Building a Marketing Team That Thrives on Change

Posted by Dan Shaw on Dec 5, 2024 2:45:58 PM

If there’s one constant in marketing - change. Trends evolve, algorithms update, and new platforms emerge faster than anyone can say “pivot.” For a marketing team to thrive today, embracing change isn’t optional—it’s essential. A team that thrives on change becomes a powerful asset, driving innovation, adaptability, and growth. 

Building such a team isn’t accidental; it’s intentional. It requires vision, strategy, and the right culture. So, how do you create a marketing team that doesn’t just tolerate change but leverages it as a growth engine? Let’s break it down.

Key takeaways:

  • Hire for curiosity, resilience, and a growth mindset.
  • Foster a culture of experimentation and data-driven decisions.
  • Encourage cross-functional collaboration and continuous learning.
  • Celebrate adaptability to reinforce its importance.

 

Why adaptability matters in marketing 

Adaptability is the oxygen of marketing. In a landscape where yesterday’s tactics won’t guarantee tomorrow’s results, staying rigid is a recipe for stagnation. 

Teams that cling to old methods fall behind, while adaptable teams pivot quickly, spotting opportunities and refining strategies without losing momentum. Instead of fearing change, they harness it, turning obstacles into opportunities. This mindset fuels not only team growth but also the resilience of the entire organisation.  

Step 1: Foster curiosity and resilience  

If you are beginning your journey to building an adaptable team, then add a large component into your hiring process to look for curiosity and resilience. On the other hand, if you have an existing team then encourage your people to understand deeper why something is happening. While skills and experience are important, seek candidates who embody curiosity, resilience, and a growth mindset. 

Key qualities to prioritise: 

  • Curiosity: Curious marketers push boundaries and seek new solutions. 
  • Resilience: Resilient individuals navigate challenges and stay motivated amidst uncertainty. 
  • Growth mindset: Those with a growth mindset embrace learning and adapt to shifting demands. 

For example:  Incorporate scenario-based questions during interviews to assess these traits. Ask candidates how they’ve adapted to unexpected challenges in past roles.

Step 2: Cultivate a culture of experimentation 

Once you have the right people, foster a workplace culture that encourages experimentation. 

How to promote experimentation: 

  • Start with small tests. Mini experiments mitigate risks while paving the way for innovative ideas. 
  • Celebrate wins and learn from failures. Recognise both successful and unsuccessful experiments to create a “fail fast, learn faster” environment. 
  • Allocate time for creative exploration. Regularly schedule brainstorming or testing sessions to keep innovation alive. 

By normalising experimentation, you empower your team to innovate fearlessly.

Step 3: Embrace data-driven decision-making 

Adaptable teams rely on data as their compass. Data not only informs decisions but also builds trust in the change process. 

Steps to embrace data-driven practices: 

  • Provide accessible insights: Equip the entire team with relevant metrics and analytics tools. 
  • Encourage reflective learning: After every campaign, review data to refine future strategies. 
  • Balance intuition with data: Combine data insights with team expertise for well-rounded decisions. 

Using data to guide decisions makes change purposeful, clear, and impactful.

Step 4: Foster cross-functional collaboration 

Silos stifle adaptability. Teams that collaborate across departments are better equipped to innovate and align strategies with organisational goals. 

Encourage collaboration through: 

  • Open communication: Establish regular cross-functional meetings to share insights. 
  • Goal alignment: Sync marketing objectives with other departments like sales and product teams. 
  • Knowledge sharing: Create platforms for teams to exchange lessons learned and emerging trends. 

A collaborative approach ensures marketing strategies are agile and well-integrated. 

Step 5: Invest in continuous learning and development

Adaptable teams never stop learning. Marketing evolves rapidly, and upskilling is essential to stay ahead. 

Support continuous learning by: 

  • Offering training opportunities in emerging areas like AI or content strategy. 
  • Hosting knowledge-sharing sessions where team members can present on industry trends. 
  • Encouraging self-directed learning to align team interests with organisational goals. 

When learning becomes second nature, your team is equipped to tackle any challenge. 

Step 6: Reward and recognition

Change is hard, and recognising those who navigate it well reinforces a culture of resilience. 

Ideas for recognising adaptability: 

  • Publicly celebrate team members who embrace change through creativity and perseverance. 
  • Offer spot bonuses or small rewards for outstanding adaptability. 
  • Establish an annual “adaptability award” to institutionalise its value. 

Recognition motivates teams to lean into change with confidence.

Adaptability leads to measurable success

The importance of adaptability is underscored by data: 

  • Companies with adaptable marketing processes achieve 10% higher sales quotas and 36% greater customer retention rates and  teams see 24% faster revenue growth and 27% higher profit growth. 
  • Organisations reduce customer acquisition costs by 30% and increase customer lifetime value by 20% . 

These statistics show why adaptability is not just a soft skill but a critical driver of innovation and growth.

Your roadmap to adaptability

Building a marketing team that thrives on change requires intentionality, from hiring the right people to fostering a culture of learning and collaboration. 

When your team sees change as an opportunity rather than a challenge, they become unstoppable, driving growth and positioning your organisation as a leader in innovation. 

At LuminateCX, we help businesses unlock the power of MarTech, process and people, so if you would like to understand how we can support your business, contact us for a Spark Session.

 

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Is Your Marketing Stack Agile Enough for the Next Big Pivot?

Posted by Anthony Hook on Dec 3, 2024 9:29:34 PM

Agility isn’t just a buzzword – it’s the backbone of scaling effectively. It’s the ability to pivot instantly when customer expectations shift, new trends demand attention, or unforeseen challenges arise. When was the last time your team had to rework a campaign on the fly? How easy—or painful—was it? 

Now imagine a marketing stack designed to support that level of flexibility – one that’s lean, adaptable, and fast. Most organisations believe their stack is agile… until it’s not. Only when change is unavoidable do the limitations of outdated systems reveal themselves. Let’s explore what an agile marketing stack really looks like, why it’s critical, and how to prepare for the next big pivot.  

Key takeaways 

  • Agility in your marketing stack drives faster campaign rollouts, improved ROI, and better customer experiences.
  • Signs of inflexibility include slow processes, workarounds, and integration challenges.
  • Building an agile stack involves modular tools, seamless integration, and a learning-focused culture. 
  • Real-world successes prove that agility is a necessity, not a luxury, in today’s fast-paced market. 

Why agile matters now more than ever. 

The pace of change today is exponential. Customer expectations shift almost daily, and emerging trends can reshape entire industries overnight. Businesses that adapt quickly thrive, while those stuck in outdated systems risk irrelevance. 

Agility in your marketing stack enables rapid responses, continuous experimentation, and faster delivery of value. It’s the difference between chasing trends and setting them. For example, HID Global saw a 116% year-over-year increase in pipeline contribution by adopting agile technologies, while Colt Technology Services achieved up to 500% improvement in critical business metrics through an outcome-based agile approach.

Signs your stack isn’t as agile as you think. 

Even the most robust stacks can become cumbersome over time. Look out for these red flags: 

  • Slow Campaign Rollouts: If launching a campaign feels like running a marathon, agility is lacking. Agile teams often deliver ~26 campaigns per year, compared to 6 in traditional setups. 
  • Constant Workarounds: If your team spends more time navigating limitations than innovating, the stack may be a bottleneck. 
  • Difficult Integrations: Connecting data across platforms shouldn’t feel like solving a Rube Goldberg machine. 
  • Rigid Processes: If even minor workflow adjustments feel insurmountable, your tools might be anchoring your potential. 

These challenges can stifle growth and make it nearly impossible to keep pace with market demands.  

The essentials of an Agile Marketing Stack. 

An agile marketing stack isn’t just about adopting the latest technology; it’s about building a system that’s adaptable, user-friendly, and future-focused. Here’s what to aim for:

  1. Interconnected and data-driven
    An agile stack ensures seamless data flow across systems, providing a 360-degree view of the customer. This enables real-time insights and data-driven decisions. 
  1. Modular and scalable
    With modular tools, you can add or remove components without destabilising the entire stack. This flexibility allows you to adapt as your business evolves. 
  1. User-friendly with low learning curves
    Tools should be intuitive and easy for any team member to use, ensuring quick adoption and reducing reliance on extensive training. 
  1. Real-time capabilities
    Real-time insights allow teams to adjust strategies instantly, whether it’s tweaking ad spend or updating campaign content. 

 

Building the foundation for agility: 5 practical steps 

Creating an agile marketing stack doesn’t have to mean scrapping everything you currently use. Instead, it’s about fine-tuning and layering in elements that support flexibility. Follow these steps to build agility into your existing systems:  

  1. Assess what’s working and what’s not
    Conduct an audit of your current stack, identifying which tools serve your goals and which create bottlenecks. It’s often the case that 20% of your stack is causing 80% of the issues. Spot these troublemakers and ask: is this tool holding us back? 
  1. Prioritise integration
    Choose tools that can easily integrate with one another and adapt as your needs change. A system that seamlessly shares data across channels and departments fosters efficiency and provides a holistic view of your customer interactions.   
  1. Consider implementing low-code/no-code tools  
    Today, many platforms allow for low-code or no-code customisation, which reduces the dependency on developers for changes. This can be a game-changer, especially for teams that need to pivot fast but lack in-house tech support.   
  1. Encourage continuous learning
    Agility is a mindset as much as it is a toolkit. Empower your team to stay updated on digital trends and tool capabilities. Regular training sessions and opportunities to learn from other industries can instill a culture of innovation. 
  1. Build in flexibility for budgeting and forecasting
    Marketing budgets can be tight, but an agile stack allows you to reallocate resources dynamically. Make it a practice to re-evaluate your budget allocation periodically, allowing room to double down on channels or strategies that are yielding the highest return. 

Agility in action 

Northern Arizona University increased productivity by 400% and reduced costs by 20% after implementing agile marketing. Meanwhile, HID Global and Colt Technology Services transformed their processes to achieve substantial growth and efficiency. These examples underscore the tangible benefits of agility in marketing. 

The Role of Culture in Building Agility 

Agility isn’t just about tools – it’s about mindset. A culture of experimentation and collaboration is essential for success. Empower your team to test new ideas and pivot strategies quickly without layers of approval. The right tools paired with a proactive culture enable true marketing agility.

Knowing when to Pivot: signs it’s time to change course 

One of the hallmarks of an agile stack is the ability to pivot. But recognising the signs that a pivot is necessary is just as important as having the tools to execute it. Here are a few scenarios to watch for:

  • Shifts in Customer Behaviour: If you’re seeing shifts in engagement rates or sales channels, it could indicate a need to pivot your strategy. 
  • New Market Opportunities: An agile stack allows you to explore emerging markets or trends quickly. 
  • Performance Plateaus: If your campaigns or channels are hitting a plateau, it’s a sign your stack may need an infusion of new tech or strategies. 

The more responsive your stack is, the easier it becomes to pivot without disruption—allowing you to seize opportunities as they arise.

Agility Isn’t a Luxury, It’s a Necessity 

We all like to think our marketing stacks are agile, but when the pressure mounts, cracks appear. The true test of your stack’s agility is how seamlessly you can pivot in response to the next big market shift. If your stack is bogged down with redundancies, workarounds, and bottlenecks, it might be time for a refresh. 

 The businesses that thrive in unpredictable environments are those that keep agility at the forefront of their strategy. They view their stack not just as a set of tools, but as a dynamic system that adapts, learns, and grows alongside their business. So, as you look to the future, ask yourself: is your marketing stack a tool for growth or an anchor holding you back?  

Ready to future-focus your Marketing stack?

At LuminateCX, we specialise in helping organisations streamline their marketing stacks for ultimate agility. If you’re ready to take the next step in future-focusing your stack, we’d love to chat. Contact us for a Spark Session to assess where your stack stands today and how it can be fine-tuned for the future.

 

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