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Skeptical at first, given the price. Address quality is the strongest column in the file. Bought it while planning a interior design service campaign in India. Money well spent.
Saved me a scraping project I'd been dreading. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to support a interior design service rollout in India. Saved us hours of manual cleanup.
Field-tested by my team. Sample matched live data when I spot-checked random rows. Bought it for a India-focused interior design service territory cut. Will buy again.
Tried three vendors before this. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for interior design service prospecting across India. Minor cleanup needed but nothing major.
Used it for a market-sizing exercise. Google rating column came included, which we hadn't expected. Bought it for our interior design service outreach in India. Money well spent.
Pulled the trigger after reading the row count. Address quality is the strongest column in the file. Workable, the LinkedIn coverage could be better.
Got it for a territory planning project. Google rating column came included, which we hadn't expected. Saved us hours of manual cleanup.
Ran the CSV through our deduper first. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to map interior design service density across India. Workable, the LinkedIn coverage could be better.
Bought it to seed a CRM import. Sample matched live data when I spot-checked random rows. Bought it to underpin a India interior design service campaign. Genuinely useful.
Bought it to seed a CRM import. Google rating column came included, which we hadn't expected. Renewed for another quarter already.
Last Update:
Jul 21, 2026 03:03 AM
Published:
May 01, 2026 03:44 AM
Rows (Regular):
7,502
Rows (Extended):
16,672
Category:
Tags:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
