Field-tested by my team. Address quality is the strongest column in the file. Bought it as part of a wider quick service restaurant (andhra pradesh expansion into India. Minor cleanup needed but nothing major.
Decent dataset for the price. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to underpin a India quick service restaurant campaign. Connect rate could have been higher with cleaner mobile numbers.
Bought this for a cold outbound push. Lat/long landed every pin on the right storefront in Mapbox. Bought it for our quick service restaurant outreach in India. Genuinely useful.
Bought a sample first. The phone column was live for 95% of the rows I tested. Bought it to map quick service restaurant density across India. Will be the default vendor for us now.
Onboarded a junior with this dataset. Sample matched live data when I spot-checked random rows. Bought it as the seed list for a quick service restaurant outbound push in India. Saved us hours of manual cleanup.
Used it for a focused territory. Sample matched live data when I spot-checked random rows. Bought it to handle quick service restaurant lead-gen for the India region. Decent value, would tighten one or two fields.
Used it for a market-sizing exercise. Connect rate jumped noticeably once we filtered by category. Bought it while planning a quick service restaurant campaign in India. No complaints from the field reps.
Needed it for a fast launch. The phone column was live for 95% of the rows I tested. Bought it to map quick service restaurant density across India. Money well spent.