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Field-tested by my team. Hours-of-operation field meant my SDRs called during open windows. Bought it for a United States-focused tire shop territory cut. Connect rate could have been higher with cleaner mobile numbers.
Needed it for a fast launch. Sample matched live data when I spot-checked random rows. Renewed for another quarter already.
Solid file overall. Cross-checked 50 entries against Google Maps and 47 matched cleanly. One column I'd add next refresh: secondary email.
Bought it to seed a CRM import. ROAS improved roughly 30% versus the lookalike audience we ran before. Renewed for another quarter already.
Pulled the trigger after reading the row count. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Genuinely useful.
Bought for a one-time project. Hours-of-operation field meant my SDRs called during open windows. Bought it for tire shop prospecting across United States. Couple of small gaps but workable.
Pulled the trigger after reading the row count. The phone column was live for 95% of the rows I tested. Bought it to handle tire shop lead-gen for the United States region. Saved us hours of manual cleanup.
Tried three vendors before this. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a United States tire shop market-sizing project. Renewed for another quarter already.
Saved me a scraping project I'd been dreading. Email coverage is the highest I've seen for United States B2B data. Recommended.
Loaded the file the morning we got it. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it while building a tire shop prospecting workflow for United States. Recommended.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 03:53 AM
Rows (Extended):
323
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
