AI in marketing, customer engagement strategy

93% of marketing leaders say intelligent systems now enable deeper understanding of customer behaviour. Yet, only 53% of consumers believe brands accurately predict their needs — a 40-point credibility gap that could reshape engagement strategy in 2026.

Customer engagement is entering a phase where confidence and customer conviction are no longer aligned.

A global survey of 2,200 VP-level and above leaders shows that 93% believe intelligent systems now allow them to understand customer preferences, behaviours, and future actions more accurately than before. More than 99% report that these systems have improved marketing performance metrics. Yet, only 53% of consumers say brands accurately predict their needs.

The resulting 40-point gap represents more than a perception mismatch. It reflects a growing structural divide between organisational confidence and customer experience.

Confidence has Outpaced Customer Experience

Investment levels help explain the confidence. Twenty-nine per cent of marketers now use tools designed to continuously predict outcomes and optimise experiments. High-performing organisations are 30% more likely to deploy predictive systems to anticipate churn, forecast purchase likelihood, and identify key lifecycle shifts.

On paper, these capabilities should translate into sharper targeting and stronger lifecycle management.

In practice, the experience often falls short of the promise.

Only 33% of leaders say their content is dynamically assembled for each user at the moment of engagement. A further 40% rely primarily on historical, transactional, or behavioural data to personalise interactions. The infrastructure required to deliver real-time, context-aware engagement remains unevenly deployed.

When data environments are fragmented, relevance becomes approximate rather than precise.

Quoted in the report, Andrew Luxem, formerly Senior Director of CRM, said:

“AI’s predictive capabilities have helped us to identify high-value segments as well as what a customer’s lifecycle could potentially be. So instead of being reactive, we’re able to anticipate what a customer’s interests are and be able to retain them much better than we have in the past.”

The move from reactive marketing to anticipatory engagement is strategically sound. However, anticipation must be visible within the interaction itself. When predictive capability remains confined to internal dashboards, customers rarely perceive the benefit.

The Data Exchange Remains Conditional

This disconnect is further complicated by expectations around data sharing.

While many organisations assume broader data access will produce stronger engagement, consumers remain selective about what they are willing to share. Gen Z and millennials show greater openness to exchanging personal information for tailored experiences, yet only 34% of consumers, overall, say they would provide more data to brands.

Trust expands only when value is immediate and visible.

In other words, relevance cannot simply be inferred from analytical capability. It must be demonstrated through the experience itself.

Intermediation is Reshaping Control

A second structural shift is the growing role of intermediaries.

Currently, 19% of consumers use intelligent intermediaries when interacting with brands. By the end of the year, that number is expected to reach 46% — representing a 1.4 times year-over-year increase. At the same time, 63% of marketing leaders believe these intermediaries weaken their ability to maintain direct customer relationships.

Consumer motivations, however, are largely practical:

35% use intermediaries to secure better deals
32% use them to discover new products and services

This behaviour reflects efficiency rather than brand rejection. Yet it reduces the margin for weak differentiation. When interactions are filtered through comparison layers, only experiences that deliver clear value remain competitive.

Regional variation adds further nuance. Fifty-four per cent of US consumers either use or plan to use intermediaries this year, compared with 37% in the United Kingdom. Engagement strategies, therefore, cannot assume uniform adoption patterns.

Execution, Not Experimentation, Defines Maturity

Experience quality ultimately determines perception.

When automation is deployed without maintaining a human tone, 35% of consumers report disappointment and 27% report frustration. At the same time, 61% of Gen Z respondents say brands are successfully maintaining a human feel in AI-assisted interactions, compared with 46% of consumers overall.

Expectations remain consistent even as demographic responses vary.

What distinguishes leading organisations is not the volume of experimentation, but the discipline of orchestration. Compared with their peers, top-performing organisations are:

39% more likely to personalise journeys based on individual behavioural signals
15% more likely to use intelligent systems to quality-check marketing content
More likely to adjust timing, channel, and messaging dynamically in response to context

These differences may appear incremental, but they reflect operational maturity rather than technological enthusiasm.

Alignment will Define Competitive Advantage

The broader strategic environment presents several plausible futures: one in which intelligent agents become central to customer relationships, another in which trust limits adoption, a third in which human-led strategy dominates despite technological plateau, and a fourth marked by widespread disillusionment.

At present, the industry is operating within a risk-mitigation cycle, where technological capability is advancing faster than customer trust.

The evidence points to three structural shifts that will define competitive advantage in the coming years:

Predictive sophistication alone does not guarantee perceived relevance. Infrastructure coherence determines whether engagement feels personalised or mechanical. Above all, credibility has become the defining differentiator.

Closing the 40-point gap will require organisations to focus on three priorities:

Deliver a tangible and immediate value exchange for customer data
Unify data environments to enable real-time, cross-channel engagement
Prioritise contextual accuracy over incremental tool adoption

Customer engagement in 2026 will not be defined by which organisations deploy the most advanced models. It will be defined by those who can translate analytical insight into experiences customers recognise as genuine understanding.

The industry has moved beyond capability as the primary differentiator. Alignment now determines advantage.