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What are the best practices for structuring custom event parameters in GA4 so they do not exceed cardinality limits during analysis?

ChatGPTgpt-62 queries11/1/2026
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The searches the AI actually ran for this prompt.

SEED QUERY
What are the best practices for structuring custom event parameters in GA4 so they do not exceed cardinality limits during analysis?
2 real searches · 1 real-search pass
Google Analytics 4 cardinality limits high cardinality dimensions (other) custom dimensions best practices official documentationGoogle ↗
OBSERVEDReason
GA4 event parameters custom dimensions cardinality BigQuery export official Google Analytics documentationGoogle ↗
OBSERVEDInstruction

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

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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 cardinality limits high cardinality dimensions (other) custom dimensions best practices official documentation Google ↗
GA4 event parameters custom dimensions cardinality BigQuery export official Google Analytics documentation Google ↗

Queries

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Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Google Analytics 4 cardinality limits high cardinality dimensions (other) custom dimensions best practices official documentation
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
GA4 event parameters custom dimensions cardinality BigQuery export official Google Analytics documentation
OBSERVED
Google ↗
AI Mode ↗
—Instruction——1x
of 1