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Got it for a territory planning project. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for India's unisex salon segment specifically. Will buy again.
Compared this side-by-side with two competitors. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our unisex salon sales team's India pipeline. Sales team is happy.
Decent dataset for the price. Hours-of-operation field meant my SDRs called during open windows. Bought it to support a unisex salon rollout in India. Will reconsider for the next refresh.
Picked it up for a one-off campaign. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for our unisex salon sales team's India pipeline. Genuinely useful.
Bought it to seed a CRM import. Categorisation was granular enough to segment by sub-vertical without regex. Sales team is happy.
Bought a sample first. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for our unisex salon outreach in India. Sales team is happy.
Picked it up for cold outbound. Imported into HubSpot in two clicks, every column mapped automatically. Bought it while planning a unisex salon campaign in India. Will reconsider for the next refresh.
Used it for a focused territory. Lat/long landed every pin on the right storefront in Mapbox. Bought it to map unisex salon density across India. Otherwise no complaints.
Fine for the prospecting list. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to underpin a India unisex salon campaign. Wished a few smaller towns had been included.
Met most of what we were looking for. Connect rate jumped noticeably once we filtered by category. Wished a few smaller towns had been included.
Ran the CSV through our deduper first. Catchment overlap with our existing CRM was minimal — almost all net-new leads. No complaints from the field reps.
Wanted a India list with verified phones. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for unisex salon prospecting across India. Worth the price.
Cross-referenced 50 entries against Google Maps and 47 matched cleanly. Three were closed since their last scrape, manageable but not perfect.
Last Update:
Aug 14, 2026 05:45 AM
Published:
Apr 28, 2026 19:32 PM
Rows (Regular):
1,159
Rows (Extended):
2,318
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
