NASBIX TECHNOLOGIES

Mobile analytics product teams actually use

Event taxonomies, SDK instrumentation, funnels, retention, crash and performance signals—wired to Firebase, Amplitude, Mixpanel, or your warehouse—with privacy-aware consent from our Karachi delivery center.

Start an analytics brief Mobile hub

Event taxonomy & governance Funnels & retention Crash & performance vitals Privacy & consent

Mobile analytics

Measure the questions—not every tap

Mobile data rots when events multiply without naming rules, SDKs double-fire, and product cannot trust retention charts. NASBIX designs analytics as engineering work: a taxonomy tied to hypotheses, implementation in app code, validation in staging, and dashboards PMs and growth can run without filing a ticket for every slice.

We instrument native, Flutter, and React Native apps—standalone analytics projects or paired with build squads. Connect to App Store marketing and digital marketing when acquisition and in-app behavior must tell one story.

Tracking plan: events, properties, user traits, and naming conventions documented upfront
QA on analytics—events verified before release, not discovered in production skew
Cohort, funnel, and retention views aligned to your north-star metrics
Experiment hooks and feature-flag correlation when A/B tests are on the roadmap

MVP development → Business intelligence →

Mobile analytics by NASBIX TECHNOLOGIES — Events · Dashboards · Signals

Who we help

Built for decisions—not dashboard wallpaper

Launches, replatforms, and fixes when numbers stopped matching reality.

Product & growth

Need trustworthy funnels, activation, and retention to prioritize roadmap bets.

Engineering leaders

Want instrumentation implemented cleanly with versioning—not copy-paste from Stack Overflow.

Regulated & global apps

Consent, minimization, and GDPR-aware setups before EU or enterprise buyers ask.

What you get

Mobile analytics capabilities that matter

Stack-agnostic delivery with validation discipline—not a PDF tracking plan nobody implements.

Event design

Taxonomy, property dictionaries, and governance so new features do not invent silent naming chaos.

SDK implementation

Firebase, Amplitude, Mixpanel, Segment, or custom pipelines—installed, wrapped, and tested in app code.

Dashboards & reporting

Funnels, retention, cohorts, and executive summaries product and growth can self-serve.

Crash & performance

Crashlytics/Sentry ties, ANR hotspots, and vitals linked to releases and feature flags.

Attribution & campaigns

Deep links, UTM hygiene, and MMP hooks (Adjust, AppsFlyer, etc.) when paid UA is in mix.

Privacy & consent

ATT prompts, consent banners, anonymization, and data deletion paths documented for legal review.

Analytics + growth + data

One thread from install to revenue signal

Mobile analytics lands when marketing tags, backend events, and app SDKs use the same user identity rules—and when QA treats broken tracking as a release blocker.

Identity merge strategies: anonymous → logged-in, multi-device, and account switching edge cases
Warehouse export to BigQuery, Snowflake, or Redshift via data engineering when BI teams need SQL
Alerting on conversion drops, crash spikes, and funnel anomalies after releases
Coordination with mobile QA for analytics validation suites
ASO and campaign readouts tied to in-app activation via marketing practice
Server-side events when client-only tracking is insufficient or blocked

Marketing hub → AI & predictions →

Mobile analytics aligned with growth and marketing — Product · Growth · Data

How we deliver

From audit to trusted metrics

Fix measurement gaps first, then expand instrumentation with each release train.

01 · DiscoverNorth-star metrics, stacks, privacy constraints, and gaps in current reporting.
02 · DesignTracking plan, identity model, dashboard wireframes, and validation checklist.
03 · ImplementSDK work, server events if needed, QA verification, and staging sign-off.
04 · OperateDashboard handoff, alerting, governance for new events, and iteration sprints.