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Used it for a market-sizing exercise. Categorisation was granular enough to segment by sub-vertical without regex. Bought it as part of a wider auto parts store expansion into India. Genuinely useful.
Field-tested by my team. Loaded into Power BI without a single import warning. Bought it for auto parts store prospecting across India. Genuinely useful.
Decent dataset for the price. ROAS improved roughly 30% versus the lookalike audience we ran before. Minor cleanup needed but nothing major.
Pulled the trigger after reading the row count. Sample matched live data when I spot-checked random rows. Decent value, would tighten one or two fields.
Did the job for our campaign. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it while planning a auto parts store campaign in India. Connect rate could have been higher with cleaner mobile numbers.
Got it for a territory planning project. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to handle auto parts store lead-gen for the India region. Will be the default vendor for us now.
Bought this for a cold outbound push. Hours-of-operation field meant my SDRs called during open windows. Bought it for our auto parts store sales team's India pipeline. Renewed for another quarter already.
Field-tested by my team. Loaded into Power BI without a single import warning. Bought it for our auto parts store sales team's India pipeline. Saved us hours of manual cleanup.
Decent dataset for the price. Website URLs were populated for ~80% of rows, far better than the competition. Bought it as part of a wider auto parts store expansion into India. Will reconsider for the next refresh.
Stress-tested it during a client pitch. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for a India auto parts store market-sizing project. Worth the price.
Tried three vendors before this. Website URLs were populated for ~80% of rows, far better than the competition. Bought it while planning a auto parts store campaign in India. Acceptable trade-off at this price.
Tried three vendors before this. Email coverage is the highest I've seen for India B2B data. Bought it to map auto parts store density across India. Workable, the LinkedIn coverage could be better.
Last Update:
Aug 16, 2026 05:45 AM
Published:
May 09, 2026 02:31 AM
Rows (Regular):
90,002
Rows (Extended):
180,004
Category:
