Field-tested by my team. The phone column was live for 95% of the rows I tested. Bought it for a India e commerce logistics companie market-sizing project. One column I'd add next refresh: secondary email.
Honest reaction after a week of use: Address quality is the strongest column in the file. Bought it for our e commerce logistics companie outreach in India. Renewed for another quarter already.
Bought this for a cold outbound push. Address quality is the strongest column in the file. Bought it to support a e commerce logistics companie rollout in India. Will reconsider for the next refresh.
Picked it up for a one-off campaign. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for a India-focused e commerce logistics companie territory cut. Worth the price.
Pulled the trigger after reading the row count. Email coverage is the highest I've seen for India B2B data. Bought it for India's e commerce logistics companie segment specifically. Worth the price.
Met most of what we were looking for. Connect rate jumped noticeably once we filtered by category. Bought it as part of a wider e commerce logistics companie expansion into India. One column I'd add next refresh: secondary email.
Honest reaction after a week of use: Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it as part of a wider e commerce logistics companie expansion into India. Recommended.
Tried three vendors before this. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to handle e commerce logistics companie lead-gen for the India region. Otherwise no complaints.
Wanted a India list with verified phones. Email coverage is the highest I've seen for India B2B data. Bought it to underpin a India e commerce logistics companie campaign. Saved us hours of manual cleanup.
Picked it up for a one-off campaign. Loaded into Power BI without a single import warning. Bought it to underpin a India e commerce logistics companie campaign. Saved us hours of manual cleanup.
Ran the CSV through our deduper first. Hours-of-operation field meant my SDRs called during open windows. Bought it to map e commerce logistics companie density across India. Otherwise no complaints.
Field-tested by my team. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for a India e commerce logistics companie market-sizing project. Genuinely useful.
Picked it up for a one-off campaign. Sample matched live data when I spot-checked random rows. Bought it to handle e commerce logistics companie lead-gen for the India region. Sales team is happy.