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Honest reaction after a week of use: Encoded UTF-8 with no character-set surprises in Excel. Bought it as the seed list for a furniture retail store outbound push in India. Will buy again.
Saved me a scraping project I'd been dreading. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Genuinely useful.
Picked it up for cold outbound. Loaded into Power BI without a single import warning. One column I'd add next refresh: secondary email.
Compared this side-by-side with two competitors. Google rating column came included, which we hadn't expected. No complaints from the field reps.
Met most of what we were looking for. Sample matched live data when I spot-checked random rows. Bought it for furniture retail store prospecting across India. Couple of small gaps but workable.
Worked for what we needed. Hours-of-operation field meant my SDRs called during open windows. Bought it to underpin a India furniture retail store campaign. Otherwise no complaints.
Got it for a territory planning project. Lat/long landed every pin on the right storefront in Mapbox. Bought it for a India-focused furniture retail store territory cut. Money well spent.
Tried three vendors before this. Connect rate jumped noticeably once we filtered by category. Decent value, would tighten one or two fields.
Needed it for a fast launch. The phone column was live for 95% of the rows I tested. Bought it for India's furniture retail store segment specifically. Couple of small gaps but workable.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 02:21 AM
Rows (Regular):
668
Rows (Extended):
1,335
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
