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Looking to scope a regional rollout. Address quality is the strongest column in the file. Bought it for a United States-focused serviced apartment territory cut. Recommended.
Honest reaction after a week of use: Lat/long landed every pin on the right storefront in Mapbox. Bought it for our serviced apartment sales team's United States pipeline. Workable, the LinkedIn coverage could be better.
Honest reaction after a week of use: Lat/long landed every pin on the right storefront in Mapbox. Bought it to handle serviced apartment lead-gen for the United States region. Recommended.
Needed it for a fast launch. Refresh cadence means the data feels current, not 2-years-old. Will be the default vendor for us now.
Solid file overall. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for serviced apartment prospecting across United States. Connect rate could have been higher with cleaner mobile numbers.
Wanted a United States list with verified phones. Email coverage is the highest I've seen for United States B2B data. Bought it for a United States serviced apartment market-sizing project. Money well spent.
Worked for what we needed. Sample matched live data when I spot-checked random rows. Bought it to support a serviced apartment rollout in United States. Connect rate could have been higher with cleaner mobile numbers.
Used it for a focused territory. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for serviced apartment prospecting across United States. Wished a few smaller towns had been included.
Skeptical at first, given the price. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for a United States serviced apartment market-sizing project. No complaints from the field reps.
Field-tested by my team. Refresh cadence means the data feels current, not 2-years-old. Connect rate could have been higher with cleaner mobile numbers.
Skeptical at first, given the price. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to underpin a United States serviced apartment campaign. Saved us hours of manual cleanup.
Used it for a market-sizing exercise. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it for our serviced apartment outreach in United States. Renewed for another quarter already.
Plugged it straight into our outreach tooling. Loaded into Power BI without a single import warning. Bought it for a United States-focused serviced apartment territory cut. Money well spent.
Replaced an older vendor with this. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Sales team is happy.
Last Update:
Aug 18, 2026 05:45 AM
Published:
May 11, 2026 03:56 AM
Rows (Extended):
121
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
