Needed addresses field reps could actually drive to. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to scope a Russia territory in the college segment. Worth the price.
Compared this side-by-side with two competitors. Hours-of-operation field meant my SDRs called during open windows. Bought it to scope a Russia territory in the college segment. Saved us hours of manual cleanup.
Got it for a territory planning project. Lat/long landed every pin on the right storefront in Mapbox. Bought it as part of a wider college expansion into Russia. Renewed for another quarter already.
First impression after the download: Lat/long landed every pin on the right storefront in Mapbox. Bought it for our college outreach in Russia. Genuinely useful.
Field-tested by my team. The phone column was live for 95% of the rows I tested. Bought it for a Russia college market-sizing project. Will be the default vendor for us now.
Pulled the trigger after reading the row count. Loaded into Power BI without a single import warning. Bought it to support a college rollout in Russia. Workable, the LinkedIn coverage could be better.
Honest reaction after a week of use: Bounce rate stayed under 4% on a 1,000-contact email send. Bought it for a Russia-focused college territory cut. Will buy again.
Bought this for a cold outbound push. The phone column was live for 95% of the rows I tested. Bought it to handle college lead-gen for the Russia region. Renewed for another quarter already.
Compared this side-by-side with two competitors. Loaded into Power BI without a single import warning. Bought it for a Russia college market-sizing project. Will buy again.
Did the job for our campaign. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it while planning a college campaign in Russia. Wished a few smaller towns had been included.
Saved me a scraping project I'd been dreading. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for college prospecting across Russia. Renewed for another quarter already.
Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Bought it to map college density across Russia. Worth the price.