Field-tested by my team. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for a United States-focused united states united states united state territory cut. Saved us hours of manual cleanup.
Onboarded a junior with this dataset. Hours-of-operation field meant my SDRs called during open windows. Bought it for our united states united states regal cinema outreach in United States. Money well spent.
Ran the CSV through our deduper first. The phone column was live for 95% of the rows I tested. Bought it to support a united states regal cinemas locations wi rollout in United States. Worth the price.
Met most of what we were looking for. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to map united states regal cinemas locations wi density across United States. Decent value, would tighten one or two fields.
Pulled the trigger after reading the row count. Loaded into Power BI without a single import warning. Bought it for our united states regal cinemas locations wi sales team's United States pipeline. Sales team is happy.
Skeptical at first, given the price. Email coverage is the highest I've seen for United States B2B data. Bought it for a United States-focused united states regal cinemas locations wi territory cut. Genuinely useful.