5 of the industry’s biggest martech questions, answered

1. We’ve got martech and adtech stacks piled high. How do we get them working together better to deliver true omnichannel impact?  

Start with the business need. Using too many tools without a clear understanding of a company’s overall goals can complicate workflows and increase inefficiencies. Treat your tech stack in isolation from your organizational vision and you’ll pay the price – literally. And let’s not forget how much a bloated tech stack is an environmental resource drain, too.

Think connective tissue, not just more tech. The industry is shifting from stack building to stack unifying, prioritizing interoperability over point solutions. Smart brands are investing in real-time data integration layers and adopting API-first platforms that enable data flow across systems without duplication or delays. AI is also stepping in to bridge silos – especially agentic AI, which can automate tasks across platforms and create more cohesive workflows.

At the heart of it all is a mindset shift: from tech-first to experience-first. It’s no longer about how many tools you have, but how well they orchestrate insight and activation. The winners will be those who make their tech talk, unlocking smoother journeys, sharper targeting and better business results.

2. How do we know what’s really driving the results when everything seems connected? 

With platforms tightly woven together, it’s easy to see movement, but harder to pinpoint what’s really making an impact. You can tune in to the real value of your tech stack by following a general rule of thumb: use high-quality data, calculate ROI promptly and adopt a customer-centric approach that’s aligned to your business goals.

And don’t forget to create a continuous feedback loop, evaluating concepts and assets before they go live and continuously monitoring campaign performance.

In terms of KPIs, smart marketers are moving beyond vanity metrics and single-touch attribution to embrace incrementality testing, predictive analytics and unified data models. They’re asking not just what’s happened, but why, and they’re layering AI to spot patterns that humans might miss. So, platforms that enable real-time, cross-channel measurement, rather than siloed snapshots, are fast becoming the gold standard.

Transparency, flexibility and control are also taking center stage. Marketers want (and need) tech partners that offer open architecture, granular insights and flexibility over black-box solutions. Closed systems that restrict visibility, autonomy and agility no longer cut it. Proprietary tools are an answer for some: they offer marketers the full picture – ie, real-time stats, campaign control and the freedom to act fast.

3. Where should we really focus our martech and adtech spend to make the biggest splash now and for years to come? 

The smartest investments right now are platforms that unify data, enable real-time activation and scale with evolving consumer and compliance demands.

With signal loss and ID deprecation reshaping the ecosystem, the focus is shifting fast from third-party reliance to first-party power. That means doubling down on clean, consented data and tech that can turn it into action – think CDPs with AI baked in, APIs that play well with others, systems designed for future-proofed identity resolution and predictive modeling to anticipate customer behavior. 

But it’s not just about targeting. It’s about real-time intelligence. Spend where you can get clarity, not just clicks, on tools that connect insights to business outcomes, not just impressions.

At the same time, the rise of agentic AI means marketers can do more with less, automating workflows, unlocking insights without analysts and creating seamless omnichannel journeys at speed. Agentic AI doesn’t just assist – it acts, decides, and produces results based on human direction.

Bottom line? Spend on connectivity, intelligence and agility – tech that gives you control and cross-channel agility, not complexity.

4. How can we use AI without creeping our customers out and breaching brand trust?

Investing in AI should be about building trust, not just driving efficiency. If customers feel respected, they’ll engage more, stay longer and advocate louder.

The priority should be tools that enhance customer experience through smart, transparent use of data, not those that overstep into surveillance territory. So spend on platforms that make consent management, data transparency and ethical AI use seamless and scalable. Customers are savvy; they know when personalization tips into intrusion.

Allocate budget to AI tools that allow dynamic personalization based on declared data and real-time intent, rather than passive tracking. Think recommendation engines that are clearly helpful, not creepy. Choose tech that lets your brand sound human, even when it’s automated. Voice, tone and timing matter.

Also, prioritize those martech partners that bake in responsible AI frameworks built around bias checks, privacy protocols and explainability, so you’re not patching up problems later.

5. As the industry turns away from third-party cookies, what’s our next big martech move to stay targeted, relevant and effective? 

Shift spend from third-party dependency to first-party intelligence. Invest in platforms that turn your owned data into actionable insights – CDPs that unify interactions across channels, loyalty systems that reward value exchange and AI engines that can personalize in real time.

Context is also king. Look at tech that leverages contextual targeting and semantic analysis to meet users in the moment, without needing to know everything about them. The key is relevance without surveillance.

And don’t forget zero-party data – the stuff that customers willingly hand over. Put budget into experiences that earn that data – experiences like quizzes, customization tools and interactive content. If the value exchange is clear, the data will come.

Explore more on our Martech for Drummies hub.