Know how your users actually behave.

Static demographics miss everything that matters. Pometry models your entire user ecosystem, connecting hundreds of millions of interactions into a single, queryable layer that evolves in real time.

Interactive user analytics graph visualisation

40%

more revenue when bank services are personalised

McKinsey & Company, 2021
$2T

in revenue shifting to personalisation leaders over the next five years

Boston Consulting Group, 2024
3.2x

ROI uplift on marketing spend with Pometry

Pometry analysis, 2025
The challenge

You have data. You don't have context.

Your users leave a trail across every channel: logins, transactions, product interactions, support contacts. But without a way to connect that activity across systems and track how it changes over time, the trail disappears.

Segmentation built on static labels

Demographics tell you who someone is. Behaviour tells you what they do. Most organisations only have one of those, and they're making spend decisions based on it.

Decisions made on lagging indicators

By the time a report surfaces a trend, the moment to act has often passed. Marketing and product decisions need forward signal, not backward views.

No way to model "what if"

There's no mechanism to ask "if we invest X in segment Y, what's the expected return?", let alone measure it against a live model.

What Pometry delivers

From fragmented data to decision intelligence.

Behavioural Segmentation

Personas built from how users actually behave, not who they are on paper. ~95% accuracy at scale, updated continuously as new data flows in.

What-If Scenario Modelling

Simulate the impact of investment decisions before committing spend, grounded in your live context layer.

Temporal Pattern Detection

Change points, emerging trends, and evolving dynamics surfaced automatically. Segments recalibrate continuously as new data flows in.

Natural Language Queries

Pometry's LLM queries the graph directly. Every answer is grounded in verifiable data, traceable to specific users, interactions, and time points.

See it on your data.

A User Analytics Diagnostic takes 2–4 weeks and delivers behavioural profiles you can act on immediately. Talk to us to find out how we work.