How can I accurately measure email open rates and click-through rates together to better qualify leads for my sales team before calling them?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I accurately measure email open rates and click-through rates together to better qualify leads for my sales team before calling them?
1 real search · 1 real-search pass
email open tracking Apple Mail Privacy Protection opens unreliable automated link clicks security scanners email marketing documentation HubSpotGoogle ↗
OBSERVEDConsequence
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
email open tracking Apple Mail Privacy Protection opens unreliable automated link clicks security scanners email marketing documentation HubSpot Google ↗
- HubSpot website · hubspot.com
- Salesforce website · salesforce.com
- ActiveCampaign website · activecampaign.com
- Understand HubSpot email open and click tracking · knowledge.hubspot.com
- Tracking Messages Open and Click Bot Detection · documentation.mailgun.com
- About Apple Mail Privacy Protection (MPP) and bot activity in Brevo · help.brevo.com