How do we measure the velocity of leads moving through our newly unified sales and marketing funnels using custom Looker dashboards?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we measure the velocity of leads moving through our newly unified sales and marketing funnels using custom Looker dashboards?
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
Google Looker documentation LookML derived tables measures average duration date_diff funnel analytics Google ↗
Google Looker dashboard best practices filters drill downs alerts documentation Google ↗
- Adding and editing user-defined dashboard filters | Looker | Google Cloud Documentation · docs.cloud.google.com
- Creating user-defined dashboards | Looker | Google Cloud Documentation · docs.cloud.google.com
- Creating alerts | Looker | Google Cloud Documentation · docs.cloud.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Google Looker documentation LookML derived tables measures average duration date_diff funnel analytics OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Google Looker dashboard best practices filters drill downs alerts documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |