Bought a sample first. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to handle study abroad consultant lead-gen for the United States region. Will buy again.
Loaded the file the morning we got it. Sample matched live data when I spot-checked random rows. Bought it to scope a United States territory in the study abroad consultant segment. Money well spent.
Worked for what we needed. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to underpin a United States study abroad consultant campaign. Wished a few smaller towns had been included.
Needed it for a fast launch. Connect rate jumped noticeably once we filtered by category. Bought it for our study abroad consultant sales team's United States pipeline. No complaints from the field reps.
Used it for a focused territory. Sample matched live data when I spot-checked random rows. Bought it for United States's study abroad consultant segment specifically. Will reconsider for the next refresh.
Pulled the trigger after reading the row count. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for our study abroad consultant sales team's United States pipeline. Decent value, would tighten one or two fields.
Pulled the trigger after reading the row count. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to map study abroad consultant density across United States. Will buy again.