Real ChatGPT answer · index seedyxDShnnXVOccompleteMarketing and advertising · web analyticsinformational

What are the most important metrics I should be tracking to measure mobile app user engagement since I just launched my very first app last month

ChatGPTgpt-61 query11/1/2026
Download run

Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What are the most important metrics I should be tracking to measure mobile app user engagement since I just launched my very first app last month
1 real search · 1 real-search pass
Firebase Analytics documentation app engagement retention active users sessions events onboarding conversion metrics mobile appsGoogle ↗
OBSERVEDConsequence

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (1)
Short factOther / navigationalComparisonConsequence100%ReasonDefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
Firebase Analytics documentation app engagement retention active users sessions events onboarding conversion metrics mobile apps Google ↗
  1. Firebase Analytics documentation · firebase.google.com
  2. Explore Mixpanel · mixpanel.com
  3. Explore Amplitude · amplitude.com
  4. Analytics dimensions and metrics · support.google.com

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Firebase Analytics documentation app engagement retention active users sessions events onboarding conversion metrics mobile apps
OBSERVED
Google ↗
AI Mode ↗
—Consequence——1x
of 1