Bought this for a cold outbound push. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for nursing home prospecting across India. Sales team is happy.
Honest reaction after a week of use: ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for a India-focused nursing home territory cut. Will buy again.
Picked it up for a one-off campaign. Lat/long landed every pin on the right storefront in Mapbox. Bought it while building a nursing home prospecting workflow for India. Will be the default vendor for us now.
Onboarded a junior with this dataset. Lat/long landed every pin on the right storefront in Mapbox. Bought it as the seed list for a nursing home outbound push in India. Worth the price.
Field-tested by my team. Hours-of-operation field meant my SDRs called during open windows. Bought it as part of a wider nursing home expansion into India. One column I'd add next refresh: secondary email.
Live-tested 30 random rows before committing. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for a India-focused nursing home territory cut. Renewed for another quarter already.
Picked it up for a one-off campaign. Sample matched live data when I spot-checked random rows. Bought it for a India-focused nursing home territory cut. Sales team is happy.
Fine for the prospecting list. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it as part of a wider nursing home expansion into India. Decent value, would tighten one or two fields.
Got it for a territory planning project. The phone column was live for 95% of the rows I tested. Bought it as part of a wider nursing home expansion into India. Money well spent.
CSV opened in Sheets without a single character-encoding glitch. Small thing, but the last database I bought needed two hours of cleanup before I could even filter it.