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Bought this for a cold outbound push. Loaded into Power BI without a single import warning. Bought it for our shoe retail chain outreach in India. Renewed for another quarter already.
Onboarded a junior with this dataset. Encoded UTF-8 with no character-set surprises in Excel. Recommended.
Honest reaction after a week of use: Loaded into Power BI without a single import warning. Bought it for India's shoe retail chain segment specifically. Worth the price.
Field-tested by my team. Loaded into Power BI without a single import warning. Decent value, would tighten one or two fields.
Needed it for a fast launch. Hours-of-operation field meant my SDRs called during open windows. Bought it for India's shoe retail chain segment specifically. Connect rate could have been higher with cleaner mobile numbers.
Bought this for a cold outbound push. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to support a shoe retail chain rollout in India. Sales team is happy.
Needed it for a fast launch. Bounce rate stayed under 4% on a 1,000-contact email send. Worth the price.
Picked it up for a one-off campaign. Categorisation was granular enough to segment by sub-vertical without regex. Will be the default vendor for us now.
Stress-tested it during a client pitch. Hours and GPS were the missing pieces in my last vendor's file — this has both. Sales team is happy.
Saved me a scraping project I'd been dreading. Email coverage is the highest I've seen for India B2B data. No complaints from the field reps.
Used it for a focused territory. Hours-of-operation field meant my SDRs called during open windows. Bought it to map shoe retail chain density across India. Otherwise no complaints.
Used it for a focused territory. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it as part of a wider shoe retail chain expansion into India. One column I'd add next refresh: secondary email.
Last Update:
Aug 13, 2026 06:00 AM
Published:
May 09, 2026 02:53 AM
Rows (Regular):
3,350
Rows (Extended):
6,700
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
