Aisha Amaira is a seasoned MarTech expert with a profound focus on the intersection of data architecture and customer experience. With an extensive background in CRM technology and customer data platforms, she has spent her career helping global brands move past the friction of fragmented tools to find clear, actionable insights. In this conversation, Aisha breaks down the findings of a major programmatic advertising report, offering a strategic roadmap for leaders looking to master the complexities of modern, multi-channel orchestration.
Top-performing marketing teams are twice as likely to manage three or more advertising channels simultaneously. How does expanding the channel mix change a team’s daily workflow, and what specific steps should a brand take to ensure these platforms work together rather than in isolation?
When a team jumps from one or two channels to three or more—a move 45% of top performers have already embraced—the daily rhythm shifts from simple execution to high-level orchestration. It is no longer about just checking a single dashboard; it requires a constant pulse on how a CTV spot influences a mobile search or how a social ad feeds into a retargeting loop. To keep this from becoming a chaotic mess, brands must prioritize connected customer data, which is currently a reality for 58% of leaders compared to only 44% of their peers. Practically, this means moving away from siloed logins and toward a central orchestration platform where AI can help balance the load across the entire lifecycle. Without this center of gravity, teams find themselves exhausted by the friction of manual reporting and disconnected tactics that fail to speak to the same customer.
While many brands have added new channels to their mix, only about 10% report running truly omnichannel campaigns. Why is the transition from multi-channel to a coordinated omnichannel strategy so difficult, and what metrics best indicate that a campaign is successfully integrated across all touchpoints?
The jump to true omnichannel is steep because it demands a level of technical and organizational maturity that only 10% of the market has mastered. It is the difference between shouting the same message on five different platforms and having a nuanced conversation that remembers what the customer said on the first one. We see that 83% of marketers have added channels recently, yet the lack of cross-channel attribution remains a massive hurdle. Those who use these integrated measurement strategies see a significant performance boost, with 75% reporting stronger year-over-year growth compared to 60% of those stuck in silos. The best indicator of success isn’t just a high click-through rate on one platform, but measurement confidence, which is currently 17% higher among top-performing teams who can actually link ad spend to a unified customer journey.
Nearly half of programmatic budgets are often lost to fragmentation and siloed execution. What are the most common signs of budget waste within a disorganized media plan, and how can leadership retool their operating models to ensure every dollar contributes to a unified customer journey?
Budget waste is often an invisible leak, with 42% of marketers estimating that more than 20% of their programmatic spend is essentially flushed away due to fragmentation. You can feel this waste when you see the same customer being bombarded by the same ad across four different devices because the frequency caps are not talking to each other. Leadership needs to realize that this is not a platform problem, but an operating model problem, especially since top performers are significantly less likely to report this kind of waste—31% versus 43% for the rest of the pack. To fix this, leaders must move toward a unified measurement strategy, even though only 7% of the industry has achieved a fully unified approach so far. It requires breaking down the internal walls where the Social Team and the Programmatic Team never share insights, replacing those silos with a shared data layer that tracks the customer from acquisition through to retention.
High-spending advertisers often face significant barriers regarding organizational silos and technology limitations. How can large-scale organizations overcome these hurdles to ensure that high investment translates into actual performance rather than just more complexity?
For brands spending over $10 million annually, the challenges are surprisingly internal; 28% of these high-spenders cite organizational silos as their primary barrier, which is nearly double what mid-market spenders face. These large organizations often have the best tools, but they suffer from technology limitations in 23% of cases because their legacy systems will not talk to their new AI-driven platforms. Overcoming this requires a cultural shift where data is treated as a collective asset rather than a departmental secret, as 74% of those with connected data report superior performance. When you connect that data, the AI actually begins to deliver on its promise—79% of marketers with a connected data foundation say AI has finally improved their cross-channel coordination. It is about moving the focus from buying reach to buying relevance by ensuring that the 69% of high-spenders who use advanced measurement are actually using those insights to break down the walls between their teams.
What is your forecast for the evolution of AI in programmatic advertising?
My forecast is that we will move away from AI as a black box and toward AI as a connective tissue that finally solves the fragmentation crisis. Currently, the industry is seeing a clear divide where AI only provides real value to the 58% of leaders who have their data foundations in order. Over the next year, I expect the omnichannel gap to shrink as AI-driven orchestration platforms become the standard, making it possible for that 10% of omnichannel-ready brands to become the majority. We will see a shift where measurement confidence becomes the most important KPI, rising from the current 52% average toward the 69% seen by top performers as AI provides real-time, cross-channel clarity. Ultimately, the winners will not be those with the biggest budgets, but those who use AI to turn a mess of fragmented channels into a single, elegant customer experience.