Can you provide a step-by-step framework for auditing an existing Marketo instance to remove bloated smart lists, redundant custom fields, and broken trigger campaigns?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you provide a step-by-step framework for auditing an existing Marketo instance to remove bloated smart lists, redundant custom fields, and broken trigger campaigns?
2 real searches · 1 real-search pass
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Adobe Marketo Engage REST API documentation assets campaigns smart lists fields metadata dependencies audit Google ↗
Adobe Marketo Engage bulk extract lead database fields metadata API documentation Google ↗
- Smart Lists · experienceleague.adobe.com
- Smart Campaigns · experienceleague.adobe.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Adobe Marketo Engage REST API documentation assets campaigns smart lists fields metadata dependencies audit OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Adobe Marketo Engage bulk extract lead database fields metadata API documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |