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Field-tested by my team. Categorisation was granular enough to segment by sub-vertical without regex. Connect rate could have been higher with cleaner mobile numbers.
Got it for our outreach work, but a few issues. Most rows had hours, some were stale. Would consider buying again if a credit or refresh is offered for the bad rows.
Wanted a United States list with verified phones. Sample matched live data when I spot-checked random rows. Bought it to underpin a United States bath & body works store locations united campaign. Renewed for another quarter already.
Onboarded a junior with this dataset. Categorisation was granular enough to segment by sub-vertical without regex. Bought it while planning a bath & body works store locations united campaign in United States. Money well spent.
Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Bought it as part of a wider bath & body works store locations united expansion into United States. Renewed for another quarter already.
Last Update:
Jun 30, 2026 02:37 AM
Published:
Jun 11, 2026 15:02 PM
Rows (Regular):
894
Rows (Extended):
1,789
Category:
Tags:
