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Got it for a territory planning project. Connect rate jumped noticeably once we filtered by category. Renewed for another quarter already.
Honest reaction after a week of use: Connect rate jumped noticeably once we filtered by category. Worth the price.
Onboarded a junior with this dataset. ROAS improved roughly 30% versus the lookalike audience we ran before. Recommended.
Onboarded a junior with this dataset. The phone column was live for 95% of the rows I tested. Worth the price.
Used it for a focused territory. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for fine dining restaurant prospecting across India. Connect rate could have been higher with cleaner mobile numbers.
Reasonable value for what we paid. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for fine dining restaurant prospecting across India. Decent value, would tighten one or two fields.
Decent dataset for the price. Categorisation was granular enough to segment by sub-vertical without regex. Otherwise no complaints.
Used it for a market-sizing exercise. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to handle fine dining restaurant lead-gen for the India region. Will buy again.
Bought this for a cold outbound push. Sample matched live data when I spot-checked random rows. Bought it to support a fine dining restaurant rollout in India. Minor cleanup needed but nothing major.
Worked for what we needed. Loaded into Power BI without a single import warning. Bought it as part of a wider fine dining restaurant expansion into India. Acceptable trade-off at this price.
Fine for the prospecting list. Hours-of-operation field meant my SDRs called during open windows. Bought it while planning a fine dining restaurant campaign in India. Minor cleanup needed but nothing major.
Last Update:
Aug 16, 2026 05:45 AM
Published:
May 11, 2026 02:21 AM
Rows (Extended):
259
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