What are the step-by-step best practices for building conditional logic inside a Keap automation workflow based on custom field engagement?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the step-by-step best practices for building conditional logic inside a Keap automation workflow based on custom field engagement?
1 real search · 1 real-search pass
Keap official help center automation decision diamond custom field criteria sequence builder conditional logicGoogle ↗
OBSERVEDOther / navigational
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)
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
Keap official help center automation decision diamond custom field criteria sequence builder conditional logic Google ↗
- Decision Diamonds · help.infusionsoft.com
- Route Contacts Through Your Automation Using Decision Diamonds · learn.thryv.com
- Testing Decision Diamonds · help.infusionsoft.com
- How to Test Your Decision Diamonds · learn.thryv.com
- Then Process- Set Field Value · help.infusionsoft.com