Field-tested by my team. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to scope a India territory in the moving service providers list segment. Saved us hours of manual cleanup.
Compared this side-by-side with two competitors. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to map moving service providers list density across India. Saved us hours of manual cleanup.
Needed it for a fast launch. Sample matched live data when I spot-checked random rows. Bought it for India's moving service providers list segment specifically. Money well spent.
Used it for a focused territory. Hours-of-operation field meant my SDRs called during open windows. Bought it for India's moving service providers list segment specifically. Acceptable trade-off at this price.
Bought a sample first. Website URLs were populated for ~80% of rows, far better than the competition. Bought it while building a moving service providers list prospecting workflow for India. Sales team is happy.
Ran the CSV through our deduper first. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for India's moving service providers list segment specifically. Genuinely useful.
Got it for a territory planning project. The phone column was live for 95% of the rows I tested. Bought it to map moving service providers list density across India. Money well spent.
Plugged it straight into our outreach tooling. Refresh cadence means the data feels current, not 2-years-old. Bought it for India's moving service providers list segment specifically. Worth the price.