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Bought it to seed a CRM import. Categorisation was granular enough to segment by sub-vertical without regex. Bought it while building a united states united states eagle creek prospecting workflow for United States. Will be the default vendor for us now.
Solid file overall. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our united states eagle creek store location outreach in United States. Minor cleanup needed but nothing major.
Worked for what we needed. Connect rate jumped noticeably once we filtered by category. Decent value, would tighten one or two fields.
Needed it for a fast launch. Refresh cadence means the data feels current, not 2-years-old. Bought it to underpin a United States united states eagle creek store location campaign. Saved us hours of manual cleanup.
Wanted a United States list with verified phones. Connect rate jumped noticeably once we filtered by category. Bought it for United States's united states eagle creek store location segment specifically. Will buy again.
Picked it up for a one-off campaign. Loaded into Power BI without a single import warning. No complaints from the field reps.
Honest reaction after a week of use: Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for united states eagle creek store location prospecting across United States. Acceptable trade-off at this price.
Last Update:
Jun 30, 2026 02:37 AM
Published:
Jun 11, 2026 15:02 PM
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