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What is the most efficient way to map custom metadata attributes from our SaaS product database into Delighted customer satisfaction scores follow-up surveys?

ChatGPTgpt-61 query11/1/2026
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The searches the AI actually ran for this prompt.

SEED QUERY
What is the most efficient way to map custom metadata attributes from our SaaS product database into Delighted customer satisfaction scores follow-up surveys?
1 real search · 1 real-search pass
Delighted API documentation people properties custom properties send survey response metadata APIGoogle ↗
OBSERVED

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.

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Searches and sources

ChatGPT1 real searches · gpt-6
Delighted API documentation people properties custom properties send survey response metadata API Google ↗
  1. API Documentation · help.delighted.com
  2. API – Sending to people · app.delighted.com

Queries

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Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Delighted API documentation people properties custom properties send survey response metadata API
OBSERVED
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