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Saved me a scraping project I'd been dreading. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it while building a toy store prospecting workflow for Indonesia. Worth the price.
Picked it up for a one-off campaign. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for toy store prospecting across Indonesia. Worth the price.
Tried three vendors before this. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to underpin a Indonesia toy store campaign. Will reconsider for the next refresh.
Looking to scope a regional rollout. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to support a toy store rollout in Indonesia. Will be the default vendor for us now.
Field-tested by my team. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for toy store prospecting across Indonesia. Genuinely useful.
Skeptical at first, given the price. Connect rate jumped noticeably once we filtered by category. Bought it while planning a toy store campaign in Indonesia. Worth the price.
Decent dataset for the price. The phone column was live for 95% of the rows I tested. Bought it while planning a toy store campaign in Indonesia. Wished a few smaller towns had been included.
Skeptical at first, given the price. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for Indonesia's toy store segment specifically. Will be the default vendor for us now.
Last Update:
Aug 09, 2026 05:45 AM
Published:
May 11, 2026 01:54 AM
Rows (Regular):
2,894
Rows (Extended):
5,788
Category:
