Know your customers as they are.
Cohort analysis, customer value (LTV) and profiles that replace theoretical personas with real knowledge of your audience, useful to marketing and sales.
360° profiling that converts.
Who actually buys.
Most businesses know their customer from two sources: the personas of a brand exercise from two years ago and the complaints in the support inbox. Neither shows how to target, acquire and keep customers.
We replace that with understanding by customer group: who really bought in the last 12 months, by channel, product and age, with customer value that comes from real repeat-purchase curves and not from an average. Groups are defined by what customers do, not what they say.
The results feed the whole business: marketing targets high-value customers, the CRM knows whom to look after, product sees what drives repeat purchase, and leadership gets a customer value figure that stands up to finance's scrutiny.
What changes for you.
Cohort analysis
Customers by acquisition month, channel and first product, with separate repeat-purchase curves. No averages that hide reality.
Customer value (LTV)
Models that account for real repeat purchase, margin by product and seasonality. Not one number for everyone, but a function.
Behaviour groups
Groups defined by what customers do: purchases, products they prefer, frequency. Immediately usable in targeting and creative.
Repeat-purchase prediction
Models that predict which new customers will buy again, from early signals. They feed bidding, the CRM and retention investment decisions.
Customer data
The infrastructure that makes it possible: recognising the same customer across channels, event flows and clean first-party data, through our BI practice.
Ready to execute
Profiles aren't documents. They become audiences for ads, groups in the CRM and inputs for product priorities.
How we work.
Data
We check customer data, customer recognition and event flows, and clean what needs it. Without this base, everything that follows is noise.
Analysis
Historical cohort analysis, repeat-purchase curves and a customer value function. The maths every next step rests on.
Profiles
We define behaviour groups, train prediction models and document the profiles in a form marketing, sales and product can use.
Activation
Groups move into ad platforms, the CRM and product decisions, so the knowledge becomes action across the business.
Common questions.
Know your customers.
Let's talk about cohort analysis, customer value and profiles that produce results, not documents that go unread.
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