We need to adjust our lead scoring decay rate because old leads are clogging the pipeline and I need the formula and implementation steps for Marketo right now.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need to adjust our lead scoring decay rate because old leads are clogging the pipeline and I need the formula and implementation steps for Marketo right now.
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
site:experienceleague.adobe.com Marketo Engage change score flow step smart campaign batch schedule score field inactivity Google ↗
site:experienceleague.adobe.com Marketo Engage score decay lead scoring inactivity date last interesting moment smart campaign Google ↗
- Understanding Batch and Trigger Smart Campaigns · experienceleague.adobe.com
- Schedule a Recurring Batch Campaign · experienceleague.adobe.com
- How to Prevent Score Fields From Dipping Below Zero · experienceleague.adobe.com
- Change Score · experienceleague.adobe.com
- Add a Flow Step to a Smart Campaign · experienceleague.adobe.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
site:experienceleague.adobe.com Marketo Engage change score flow step smart campaign batch schedule score field inactivity OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
site:experienceleague.adobe.com Marketo Engage score decay lead scoring inactivity date last interesting moment smart campaign OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |