Chapter Four:
_{The Rise of the Agentic Consumer}

^{Chapter Four: The Rise of the Agentic Consumer}

Executive Question: What happens to personalisation when the customer is no longer the one making the decision?

Why This Matters:

Every model of personalisation built over the last decade assumes the same thing: a human is at the other end of the interaction, browsing, comparing, and deciding. But, that assumption is starting to break down.

A new category of customer is emerging – the agentic consumer – who increasingly delegates research, filtering, comparison, and even purchasing decisions to AI assistants and autonomous agents.

Rather than a person scrolling a website, the interaction may now be an AI agent querying a product catalogue, comparing options against a brief, and making a recommendation or a purchase on the customer's behalf.

This is not a distant, speculative trend. It is already reshaping how customers research big and small purchases alike, and it introduces a genuinely new problem for marketers.

That problem is that personalisation strategies built entirely around human psychology, on-page behaviour, and emotional design cues may simply not register with a non-human decision-maker.

01 | From Persuasion to Discoverability

Traditional personalisation works by understanding and influencing individual human preferences, from tone, timing, imagery, and incentive.

An AI agent is not swayed by tone or imagery. It is guided by structured data, clear product information, verifiable claims, and machine-readable signals.

If a brand's data is inconsistent, incomplete, or locked away in formats agents cannot parse, that brand may simply not be considered, regardless of how good the offer is.

02 | From Engagement Metrics to Trust Signals:

Open rates and click-through rates say very little about how an AI agent evaluates a brand.

Trust signals from accurate pricing, consistent product data, verifiable reviews, and clear policies become the new currency of relevance.

Personalisation for agentic consumers is less about crafting a message and more about ensuring a brand's data foundation is accurate, structured, and trustworthy enough for a system to act on with confidence.

What Changes When the Customer is an Algorithm?

The shift to agentic consumers changes what personalisation means in three important ways:

03 | From Customer Journeys to Customer-and-Agent Journeys

Traditional personalisation works by understanding and influencing individual human preferences, from tone, timing, imagery, and incentive.

An AI agent is not swayed by tone or imagery. It is guided by structured data, clear product information, verifiable claims, and machine-readable signals.

If a brand's data is inconsistent, incomplete, or locked away in formats agents cannot parse, that brand may simply not be considered, regardless of how good the offer is.

The New Questions This Raises

None of this replaces human-centred personalisation. Most purchases, particularly considered or emotionally driven ones, will remain human-led for the foreseeable future.

But the agentic layer is growing, and organisations that treat it as a distant, future concern risk losing visibility in exactly the channels their competitors are starting to optimise for.

Is our product and pricing data structured well enough for an AI agent to find, understand, and trust it?
Are we able to demonstrate credibility (reviews, policies, provenance) in ways a machine can verify, not just a human can feel?
Where in the journey is a human still making the decision, and where might an agent already be filtering on their behalf?
Does our personalisation strategy assume a human is reading every message — and is that assumption still safe to make?

_{The really crucial thing is having the systems in place to collect that data and then sharing that data. I think the other really important thing is actually creating a forum to discuss the data.}

Janis Thomas, Chief Marketing Officer, Clothes Doctor

_{For us, real-time decisioning is most powerful at moments of vulnerability}

Virginie Faucon, Chief Marketing Officer, AXA Health International