SERVICE • APP INTELLIGENCE

See Every Tap. Fix Every Drop-Off.

Most teams run app analytics in-house with stretched analysts, or hand it to big agencies that bill hours. We sit in the middle: we instrument Firebase and Adjust correctly, map try to buy to churn in days not sprints, and hand you segments you can activate tomorrow.

Trusted across the region
+196%
Revenue Uplift
Alsaif Gallery
+160%
Adoption Rate
MyZoi
35%
Conversion Rates
Bayut & Dubizzle
100%
Data Integrity
Egypt Air
CAPABILITIES

From First Open to Loyal User

Three capabilities, one accountable team. Firebase, Adjust, Amplitude, and Crashlytics done right.

📲

Instrument

SDK wired flawlessly

Every screen, tap, and transaction defined in an app tracking plan and implemented via Firebase and Adjust. Events validated in DebugView, offline behavior captured, and consent handled from the first open.

  • Event schema per journey, named so it reads like a story
  • SDK QA in staging and production before every release
  • Raw events streaming to BigQuery
Explore Instrument
📈

Analyze

Cohorts and funnels

Funnels that follow the real path: try to buy to churn. Cohorts that show which version, channel, and week retains. Crashes and slow screens layered on top, so you know why users leave, not just when.

  • Funnel and cohort analysis in Firebase and Amplitude
  • Crashlytics stability data joined to behavior
  • Drop-off points ranked by revenue at risk
See the funnels
🔁

Retain

Churn down, DAU up

Audiences built from behavior and synced to your engagement platform the same day they are defined. Push and in-app readiness wired, so the moment a cohort emerges you can message it.

  • Segments synced to MoEngage or your CEP
  • Churn early-warning signals per cohort
  • Training until your team owns it
Talk segments
The engagement

What working with e-CENS looks like

A clean app analytics foundation delivered in four moves, tested before it ships. You keep the keys: schema, dashboards, segments.

Screen-by-screen journey mapping plus an inventory of what Firebase and Adjust already capture. We surface the gaps: unnamed screens, missing purchase events, attribution that does not match installs. Output: a drop-off list ranked by revenue at risk.

Key Business Requirements → KPIs → every app event with naming that reads like a story. Granular enough to reveal retention by version and channel, scalable with every release, and exportable to BigQuery.

KPIs become SDK code. We implement, audit, and regression-test in staging and production before release: Firebase and Adjust validated, attribution matched, BigQuery piped, dashboards wired.

Dashboards per function plus team enablement until self-sufficient. Every delivery ends with a maintenance checklist and a collaboration blueprint, so you stay independent, not dependent.

WE LIVE VALIDATION SDK ✓ AUDITED
Discovery ✓Journeys mapped · drop-offs ranked
Framework →Event schema · naming locked
Implement →SDK staging QA · attribution matched
Enable ✓Dashboards live · team handoff
Firebase + Adjust, one schema
Every screen, funnel, and push reads from the same source of truth.
Timeline

From audit to activation in 3 steps

Proven cadence, tested in staging and production before anything ships.

1

Diagnose

Screen-by-screen journey map, event inventory, crash and drop-off review.

2

Build

SDK implementation, event schema, attribution match, cohort dashboards.

3

Enable

Staging and production QA, team training, segments ready to activate.

Proof

What better measurement looks like

FAQ

Straight answers

Mobile app analytics tracks every screen view, tap, and transaction inside your app. With Firebase, Adjust, and Amplitude, it shows where users convert, where they stall, and which cohorts stay: the basis for every retention and product decision.

Firebase, Adjust, Amplitude, and Crashlytics, plus whatever you already run, mapped to BigQuery and Looker Studio. We don’t force a tool. We recommend the modern app stack and implement it end to end.

Raw events land in BigQuery, then federate to your warehouse of record, including Snowflake, with schema controls and consent state attached, so data stays governed where it lands.

How we deliver

Every tap, every drop-off

SDK to insight in three climbs. No vanity metrics survive.

01

Instrument

SDK wired flawlessly. Every screen, every gesture.

02

Analyze

Cohorts and funnels that show why users stay or go.

03

Retain

Churn down, DAU up. Proof, not promises.

Instrument my app

One platform audit, free with any build.

Your app data, working as hard as your roadmap

One conversation is enough to know where your app measurement stands. Free, 30 minutes, no commitment. See Every Tap. Fix Every Drop-Off.

Book a Free 30-Min Diagnostics Call

GMP Sales Partner · 5 offices worldwide