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Compared this side-by-side with two competitors. Hours-of-operation field meant my SDRs called during open windows. Genuinely useful.
Picked it up for a one-off campaign. Website URLs were populated for ~80% of rows, far better than the competition. Worth the price.
Met most of what we were looking for. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Will reconsider for the next refresh.
Loaded the file the morning we got it. Encoded UTF-8 with no character-set surprises in Excel. Bought it to support a pulmonologist doctor rollout in India. No complaints from the field reps.
Bought a sample first. Encoded UTF-8 with no character-set surprises in Excel. Worth the price.
Onboarded a junior with this dataset. Hours and GPS were the missing pieces in my last vendor's file — this has both. Saved us hours of manual cleanup.
Picked it up for cold outbound. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our pulmonologist doctor sales team's India pipeline. One column I'd add next refresh: secondary email.
Needed addresses field reps could actually drive to. Lat/long landed every pin on the right storefront in Mapbox. Bought it to underpin a India pulmonologist doctor campaign. Saved us hours of manual cleanup.
Bought it for a single SDR project, ended up reusing the file twice for franchise prospecting. Great value for what we paid.
Last Update:
Jul 03, 2026 03:52 AM
Published:
May 11, 2026 02:28 AM
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Roll-up datasets — broader coverage at a higher tier are highlighted below.
