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Met most of what we were looking for. ROAS improved roughly 30% versus the lookalike audience we ran before. Workable, the LinkedIn coverage could be better.
Tried three vendors before this. Encoded UTF-8 with no character-set surprises in Excel. Bought it to scope a India territory in the sikkim, india nail salon segment. Minor cleanup needed but nothing major.
Loaded the file the morning we got it. Email coverage is the highest I've seen for India B2B data. Bought it for a India nail salon market-sizing project. Genuinely useful.
Ran the CSV through our deduper first. Hours and GPS were the missing pieces in my last vendor's file — this has both. Will buy again.
Needed it for a fast launch. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for nail salon prospecting across India. No complaints from the field reps.
Picked it up for cold outbound. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Decent value, would tighten one or two fields.
Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Bought it to handle nail salon lead-gen for the India region. Minor cleanup needed but nothing major.
Tried three vendors before this. Loaded into Power BI without a single import warning. Saved us hours of manual cleanup.
Bought for a one-time project. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for our nail salon outreach in India. Otherwise no complaints.
Bought a sample first. Loaded into Power BI without a single import warning. Bought it while planning a nail salon campaign in India. Decent value, would tighten one or two fields.
Bought for a one-time project. Hours and GPS were the missing pieces in my last vendor's file — this has both. Connect rate could have been higher with cleaner mobile numbers.
Bought this for a cold outbound push. Email coverage is the highest I've seen for India B2B data. Worth the price.
Bought a sample first. Hours-of-operation field meant my SDRs called during open windows. Renewed for another quarter already.
Bought a sample first. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it as part of a wider nail salon expansion into India. Worth the price.
Saved me a scraping project I'd been dreading. Connect rate jumped noticeably once we filtered by category. Worth the price.
Honest reaction after a week of use: Website URLs were populated for ~80% of rows, far better than the competition. Bought it for our nail salon sales team's India pipeline. Saved us hours of manual cleanup.
Needed it for a fast launch. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to scope a India territory in the nail salon segment. Wished a few smaller towns had been included.
Onboarded a junior with this dataset. Refresh cadence means the data feels current, not 2-years-old. Bought it as part of a wider nail salon expansion into India. Sales team is happy.
Cross-referenced 50 entries against Google Maps and 47 matched cleanly. Three were closed since their last scrape, manageable but not perfect.
Last Update:
Aug 03, 2026 08:52 AM
Published:
May 01, 2026 04:38 AM
Rows (Extended):
107
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
