Real ChatGPT answer · index seedLGK6LhycqcEcompleteMarketing and advertising · email marketinginformational

What recent benchmark studies exist regarding determining optimal send times for re-engagement campaigns targeting dormant ecommerce subscribers?

ChatGPTgpt-64 queries11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What recent benchmark studies exist regarding determining optimal send times for re-engagement campaigns targeting dormant ecommerce subscribers?
4 real searches · 1 real-search pass
2025 2026 email send time benchmark study send time optimization ecommerce re-engagement dormant subscribersGoogle ↗
OBSERVEDReason
2024 2025 benchmark study optimal email send time ecommerce re-engagement dormant subscribers winback campaign dataGoogle ↗
OBSERVEDReason
2025 email marketing benchmark send time optimization study ecommerce engagement reactivation dormant customersGoogle ↗
OBSERVEDReason
2024 2025 re-engagement email win-back benchmark study timing lapsed subscribers ecommerceGoogle ↗
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 (4)
Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 4 of 4 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT4 real searches · gpt-6
2025 2026 email send time benchmark study send time optimization ecommerce re-engagement dormant subscribers Google ↗
2024 2025 benchmark study optimal email send time ecommerce re-engagement dormant subscribers winback campaign data Google ↗
2025 email marketing benchmark send time optimization study ecommerce engagement reactivation dormant customers Google ↗
2024 2025 re-engagement email win-back benchmark study timing lapsed subscribers ecommerce Google ↗

Queries

4 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
2025 2026 email send time benchmark study send time optimization ecommerce re-engagement dormant subscribers
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
2024 2025 benchmark study optimal email send time ecommerce re-engagement dormant subscribers winback campaign data
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
2025 email marketing benchmark send time optimization study ecommerce engagement reactivation dormant customers
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
2024 2025 re-engagement email win-back benchmark study timing lapsed subscribers ecommerce
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1