Real ChatGPT answer · index seedv1M8Rm568IEcompleteMarketing and advertising · email marketinginformational

What metrics should I analyze first when trying to understand why my email open rates are lower than the industry average?

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What metrics should I analyze first when trying to understand why my email open rates are lower than the industry average?
1 real search · 1 real-search pass
email marketing diagnose low open rates metrics deliverability bounce spam complaints Apple Mail Privacy Protection open rate limitations industry benchmarksGoogle ↗
OBSERVEDReason

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)
Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model).

Searches and sources

ChatGPT1 real searches · gpt-6
email marketing diagnose low open rates metrics deliverability bounce spam complaints Apple Mail Privacy Protection open rate limitations industry benchmarks Google ↗

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
email marketing diagnose low open rates metrics deliverability bounce spam complaints Apple Mail Privacy Protection open rate limitations industry benchmarks
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
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