Analytics & Data
Analytics & Data

Data that closes
the loop.

Full-funnel attribution, D90 cohort modelling, and Day-3 LTV prediction — so every spend decision is backed by the numbers that actually matter.

D90
Cohort Tracking
3
MMP Platforms
Day-3
LTV Prediction
24/7
Real-Time Reporting
Full-Funnel Attribution
Revenue events linked to source
D90
Max Cohort Depth
Install → First Open100%
First Open → D7 Retention42%
D7 → First Purchase18%
Payer → D90 Revenue4.5×
3
MMPs Supported
iOS+
SKAN 4.0 Ready
24/7
Live Monitoring
Attribution

Full-Funnel Attribution,
Done Right

We configure and validate your entire measurement stack — from first click to revenue event — so you have a trustworthy, unified view of what's driving real results across every channel and platform.

MMP Integration & Setup
End-to-end implementation of AppsFlyer, Adjust, or Singular — including SDK validation, postback configuration, and cross-network deduplication to guarantee attribution accuracy.
SKAdNetwork Compliance
iOS measurement without IDFA — conversion value mapping, SKAN 4.0 schema design, and privacy threshold modelling that preserve signal quality under Apple's attribution framework.
Custom Event Taxonomy
A structured, consistent event naming schema mapped to your funnel — ensuring every in-app action from tutorial completion to first purchase is trackable, comparable and actionable.
Set Up Attribution →
Cohort Analysis

Cohort Analysis That
Reveals the Truth

Aggregate ROAS numbers hide more than they reveal. Our cohort framework breaks down performance by day, channel, creative, geography and placement — so you see exactly which users retain, spend and compound.

D1 / D7 / D30 / D90 Retention
Standardised retention curves tracked at every key milestone — giving you an early signal on player quality before D90 materialises, with automated alerts when any cohort drops below baseline.
Channel-Level Cohort Breakdown
Side-by-side retention and ARPU cohorts for every acquisition source — so you can compare the true quality of Google UAC, Meta, TikTok and network installs on an equal footing.
Revenue Cohort Modelling
Cumulative revenue curves per cohort, segmented by payer tier and country — enabling precise payback period calculations and confident decisions on when to scale or cut a channel.
Explore Cohort Analysis →
Retention Cohort Curves
D1 → D90 by channel
D90
Tracking Depth
Google UAC
Meta Ads
42%
D7 Retention
28%
D30 Retention
18%
D90 Retention
Integrations

Integrated With the Tools You Use

We work within your existing measurement stack — or help you choose and implement the right platform. Our team holds certified expertise across all leading MMPs and analytics platforms.

AppsFlyer
Adjust
Singular
Kochava
Firebase
Predictive LTV

Predictive LTV: Bid
Smarter, Earlier

Waiting for Day-30 LTV to make bid decisions means leaving growth on the table. Our machine-learning models predict player lifetime value at Day-3 — enabling confident scaling before your competitors even see the signal.

Day-3 LTV Models
ML models trained on your historical cohort data predict 30- and 90-day LTV from early behavioural signals — so bid optimisation starts within the first 72 hours of a campaign.
Lookalike Audience Inputs
High-LTV user profiles exported as seed audiences for Google, Meta, and TikTok lookalike expansion — systematically steering each platform's algorithm toward your most valuable player archetype.
Budget Allocation Signals
Weekly budget recommendations built from predicted payback curves — balancing scale against return so you never over-invest in cohorts unlikely to pay back, and never under-invest in those that will.
Build Your LTV Model →
Predictive LTV modelling Predictive LTV
Day-3
Early LTV Signal
Custom reporting dashboards Reporting & Dashboards
Live
Real-Time Data
Reporting

Reporting That
Drives Action

Data is only valuable when it leads to a decision. We build reporting layers that surface the right metrics to the right people — from live dashboards to concise weekly briefs that leave no ambiguity about what to do next.

Custom Dashboard Builds
Looker Studio and Tableau dashboards built to your KPI framework — pulling live data from your MMP, ad networks and revenue systems into a single, always-current view your whole team can use.
Weekly Performance Briefs
Concise weekly reports that cut through noise — ROAS by channel, creative winners, cohort trajectory updates and a clear recommended action list, delivered every Monday morning.
Anomaly Detection Alerts
Automated monitoring flags statistical anomalies in real time — sudden ROAS drops, install spikes, retention cliff-edges — so your team can respond in hours, not days.
Build Your Reporting Stack →
How We Work

From raw data to compounding insight.

A structured four-phase engagement that transforms your measurement stack from a cost centre into a strategic advantage.

1

Audit & Setup

We assess your current attribution configuration, data pipelines, event taxonomy and reporting layer — identifying gaps, inconsistencies and opportunities before touching a single campaign.

2

Data Integration

MMP implementation or re-configuration, SKAdNetwork schema design, custom event taxonomy build, and bi-directional data feeds connecting ad platforms to your BI environment.

3

Modelling & Testing

LTV models trained on your historical cohorts, A/B testing frameworks validated against holdout groups, and cohort dashboards stress-tested against known performance periods before going live.

4

Ongoing Reporting

Weekly performance briefs, real-time anomaly alerts, monthly model recalibration, and quarterly data strategy reviews — keeping your measurement layer accurate and actionable as your game evolves.

Get the Full Picture

Ready to see the
full picture?

Share your current measurement setup and growth goals. We'll audit your data stack and come back with a concrete plan to close the attribution gaps and unlock the LTV signals you're missing.