I already use a mobile analytics SDK — why add Quri?

Your SDK captures the events; Quri watches them for you. It reads installs, activation, and ad spend together and pings you when a metric breaks after a release, so a regression shows up as an alert instead of a flattening growth curve you notice late.

Can Quri show where users drop off after installing?

Yes. Quri traces the post-install journey across your connected sources and surfaces where new users fall out, so you can fix the real onboarding leak rather than guessing which step is losing people.

Quri for mobile app founders

Last updated 2026-06-15

The short version

A mobile app founder watches installs, activation, and retention across an analytics tool and the ad networks that feed it. Quri reads them together, watches each metric for breaks, and traces where new users drop off after install — so a broken onboarding step or a bad ad cohort reaches you as an alert instead of a stalled growth chart.

What slows mobile app founders down

Install numbers, activation, and ad spend never sit in one comparable view.
A regression after a release can hide for days between manual metric checks.
You see installs climbing but cannot quickly tell where new users fall off.

How Quri helps

Read installs, activation, and ad spend together across your stack.
Learn more: AI analytics layer →
Get pinged when a key app metric breaks after a release.
Learn more: Anomaly detection →
Trace where new users drop off in the post-install funnel.
Learn more: User dropoff detection →
Catch ad spend climbing out of range before a bad cohort scales.
Learn more: Ad spend anomaly alerts →

Frequently asked

I already use a mobile analytics SDK — why add Quri?: Your SDK captures the events; Quri watches them for you. It reads installs, activation, and ad spend together and pings you when a metric breaks after a release, so a regression shows up as an alert instead of a flattening growth curve you notice late.
Can Quri show where users drop off after installing?: Yes. Quri traces the post-install journey across your connected sources and surfaces where new users fall out, so you can fix the real onboarding leak rather than guessing which step is losing people.