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Field-tested by my team. Loaded into Power BI without a single import warning. Bought it as part of a wider cosmetics retail store expansion into India. Genuinely useful.
Needed it for a fast launch. Website URLs were populated for ~80% of rows, far better than the competition. Bought it while building a cosmetics retail store prospecting workflow for India. Will be the default vendor for us now.
Used it for a market-sizing exercise. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it as part of a wider cosmetics retail store expansion into India. Recommended.
Pulled the trigger after reading the row count. The phone column was live for 95% of the rows I tested. Bought it to underpin a India cosmetics retail store campaign. One column I'd add next refresh: secondary email.
Pulled the trigger after reading the row count. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to map cosmetics retail store density across India. Will reconsider for the next refresh.
Onboarded a junior with this dataset. Website URLs were populated for ~80% of rows, far better than the competition. Bought it as part of a wider cosmetics retail store expansion into India. Worth the price.
Wanted a India list with verified phones. Refresh cadence means the data feels current, not 2-years-old. Money well spent.
Last Update:
Aug 18, 2026 05:45 AM
Published:
May 11, 2026 02:23 AM
Rows (Extended):
226
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
