Real ChatGPT answer · index seedxGMajadbah0completeMarketing and advertising · web analyticsinformational

How do I write a basic SQL query in BigQuery to extract daily active users from exported Google Analytics event logs?

ChatGPTgpt-62 queries11/1/2026
Download run

Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How do I write a basic SQL query in BigQuery to extract daily active users from exported Google Analytics event logs?
2 real searches · 1 real-search pass
Google Analytics 4 BigQuery export schema user_pseudo_id event_date events_* official documentationGoogle ↗
OBSERVEDInstruction
Google Analytics 4 BigQuery export schema event_date user_pseudo_id events tables _TABLE_SUFFIX documentationGoogle ↗
OBSERVEDInstruction

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 (2)
Short factOther / navigationalComparisonConsequenceReasonDefinitionInstruction100%Yes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
Google Analytics 4 BigQuery export schema user_pseudo_id event_date events_* official documentation Google ↗
Google Analytics 4 BigQuery export schema event_date user_pseudo_id events tables _TABLE_SUFFIX documentation Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Google Analytics 4 BigQuery export schema user_pseudo_id event_date events_* official documentation
OBSERVED
Google ↗
AI Mode ↗
—Instruction——1x
of 1
Google Analytics 4 BigQuery export schema event_date user_pseudo_id events tables _TABLE_SUFFIX documentation
OBSERVED
Google ↗
AI Mode ↗
—Instruction——1x
of 1