1.Monitors new analysis row
Integrate Google BigQuery and analytics tools to capture churn text and source submission id for prompting.
Create churn categories from analysis text for product
Automatically map churn text from new rows in Google BigQuery across Formatter by Zapier and Google AI Studio (Gemini). Create and update churn categories and justifications when churn analysis row arrives, submission id changes, or analysis row triggersβso you can prioritize follow-up, capture audit-ready reasons, and route work without manual categorization.
How this automation structures churn categories
When a new churn analysis row is added in Google BigQuery, teams waste time sorting raw text into labels and reasons. This automation builds an analyst prompt, sends it to Google AI Studio (Gemini), then extracts categories and writes a classification rowβso you can prioritize follow-up without manual categorization.
Google BigQueryor swap with your favorite app
2.Builds analyst prompt input
Integrate Formatter by Zapier and prompt templates to combine safe instructions with mapped churn text and context.
Formatter by Zapieror swap with your favorite app
3.Generates categories and justification
Integrate Google AI Studio (Gemini) and AI services to send the combined prompt and receive category output.
Google AI Studio (Gemini)or swap with your favorite app
4.Extracts categories and justification
Integrate Formatter by Zapier and parsing tools to split Categories and Justification from the AI output.
5.Creates classification row in BigQuery
Integrate Google BigQuery and data storage tools to create a classification row and store raw AI output for audit.
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