Did the job for our campaign. Connect rate jumped noticeably once we filtered by category. Bought it for a United States bridge construction contractor market-sizing project. Otherwise no complaints.
Onboarded a junior with this dataset. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our bridge construction contractor sales team's United States pipeline. Saved us hours of manual cleanup.
Needed it for a fast launch. Google rating column came included, which we hadn't expected. Bought it for a United States bridge construction contractor market-sizing project. One column I'd add next refresh: secondary email.
Picked it up for a one-off campaign. Lat/long landed every pin on the right storefront in Mapbox. Bought it to map bridge construction contractor density across United States. Genuinely useful.
Pulled the trigger after reading the row count. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for our bridge construction contractor outreach in United States. Will be the default vendor for us now.
Used it for a market-sizing exercise. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for our bridge construction contractor sales team's United States pipeline. Saved us hours of manual cleanup.
Bought a sample first. Sample matched live data when I spot-checked random rows. Bought it for a United States bridge construction contractor market-sizing project. Saved us hours of manual cleanup.
Live-tested 30 random rows before committing. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to scope a United States territory in the bridge construction contractor segment. Will be the default vendor for us now.