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Did the job for our campaign. Hours-of-operation field meant my SDRs called during open windows. Bought it to map kids wear retail store density across India. Decent value, would tighten one or two fields.
Fine for the prospecting list. Google rating column came included, which we hadn't expected. Bought it as part of a wider kids wear retail store expansion into India. Will reconsider for the next refresh.
Picked it up for cold outbound. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for a India-focused kids wear retail store territory cut. Acceptable trade-off at this price.
Ran the CSV through our deduper first. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it to support a kids wear retail store rollout in India. No complaints from the field reps.
Honest reaction after a week of use: Connect rate jumped noticeably once we filtered by category. Bought it as part of a wider kids wear retail store expansion into India. Worth the price.
Loaded the file the morning we got it. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for kids wear retail store prospecting across India. Renewed for another quarter already.
Field-tested by my team. Connect rate jumped noticeably once we filtered by category. Bought it for a India kids wear retail store market-sizing project. Saved us hours of manual cleanup.
Last Update:
Aug 18, 2026 05:45 AM
Published:
May 11, 2026 02:22 AM
Rows (Extended):
349
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
