What feels impossible to crack?The Impossible Club
Growth / Customer Strategy

Customer Strategy

Rethink customer value.

Which customers should we prioritise, what will they value, and what must we do differently to win them?

Questions we help answer

Our customer-choice lens

How customer strategy needs to evolve

AI is changing how customers compare, decide and delegate. Customer strategy needs to account for both the person and the AI helping them choose.

Understanding, certainty and trust are the foundations of that choice.

Understanding / Certainty / Trust → Choice

Choice
Customers still need you to

help them understand what matters and feel confident about what to do next.

Select each lens to see what it asks of the business.

How we work

Advise

Decide where to play and how to win.

  • Which customers and segments matter most — and where the greatest growth potential sits.
  • What those customers need, value and how behaviour is changing — including what drives choice today.
  • What the winning customer proposition should be — and where the current offer is falling short.
  • Where AI materially changes the customer model — how people discover, decide and delegate, and what it means for strategy.
  • What to prioritise, invest in or stop — based on ambition, economics and likelihood of moving customer behaviour.
Build

Turn the strategy into the customer model.

  • Priority propositions for the customers that matter most — translating segment priorities into a clear reason to choose.
  • Journeys and experiences that bring that proposition to life — across moments influencing acquisition, depth, loyalty or growth.
  • Relationship and engagement models — how the business shows up differently for different customers over time, not only at point of sale.
  • Human + AI experience principles and concepts — where AI augments, guides or acts, and where human judgement remains deliberate.
  • A prioritised customer growth agenda — what changes first, what follows and where to place investment to move target customers.
Enable

Make customer strategy a repeatable capability.

  • Clear ownership and decision rights — who owns customer strategy, propositions, experience and trade-offs.
  • Customer insight and learning loops — so strategy evolves with changing behaviours rather than an annual refresh.
  • A repeatable proposition-development process — from insight and opportunity to concept, validation and launch.
  • Shared measures of customer and commercial value — so teams can see what works, what does not and where to intervene.
  • Capability to keep adapting — including AI-enabled research, synthesis, testing and decision support where it materially improves speed or quality.

Ways to start

A few ways we could work together.

Customer strategy, explained

How do you choose which customers to prioritise?

Customer strategy connects who you want to serve with the value the business can create. Compare customer needs, growth potential, revenue, retention and cost to serve. Then make the trade-offs explicit: which segments to prioritise, what needs to change and where investment should go first.

How do you know when a proposition needs to evolve?

Look for changes in what customers value, the alternatives they consider and the reasons they choose or leave. These signals help identify where a proposition is losing relevance and where a different offer, relationship or experience could create a stronger reason to choose.

How does AI change customer strategy?

AI can shape how customers discover options, compare value and delegate action. Customer strategy needs to consider both the person and the AI helping them choose. Ask what information AI can find and compare, and what the customer needs to understand the proposition, feel certain about its value and trust the next step.

Where growth gets stuck

What feels impossible to crack?

Let’s work it out.

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What feels impossible to crack?