Attribution process

A transparent route from disputed data to useful evidence.

Every engagement is shaped around a real decision. We examine the whole path between acquisition touchpoints and recognised revenue, then build only what your team can sustain.

01

Frame the decision

We identify who needs to decide what, by when, and what level of evidence is sufficient. This prevents a broad analytics rebuild when a focused answer will do.

Typical output: decision brief
02

Trace the signals

We map acquisition data, app events, identity links, transactions, refunds and finance records. Interviews reveal undocumented logic that system diagrams miss.

Typical output: evidence map
03

Test and reconcile

We run controlled comparisons across sources, isolate variance and distinguish harmless reporting differences from issues that change investment decisions.

Typical output: prioritised findings
04

Design the useful state

Together we agree definitions, ownership, model logic and reporting views. Recommendations account for consent, platform constraints and your team's capacity.

Typical output: measurement blueprint
05

Embed and verify

We support implementation, validate critical paths and train the people who will use and maintain the system.

Typical output: verified handover
Team reviewing business data together
Working style

Collaborative, documented and independent of your tools.

We work with your existing analytics and data stack. Recommendations are based on fitness for the decision—not software resale or media spend.

Talk through your current setup