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First impression after the download: Bounce rate stayed under 4% on a 1,000-contact email send. Bought it for housing societie prospecting across United States. Sales team is happy.
Did the job for our campaign. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to support a housing societie rollout in United States. Acceptable trade-off at this price.
Field-tested by my team. Hours-of-operation field meant my SDRs called during open windows. Bought it as the seed list for a housing societie outbound push in United States. No complaints from the field reps.
Ran the CSV through our deduper first. Hours-of-operation field meant my SDRs called during open windows. Bought it for our housing societie outreach in United States. Saved us hours of manual cleanup.
Bought this for a cold outbound push. Refresh cadence means the data feels current, not 2-years-old. Bought it while building a housing societie prospecting workflow for United States. Will reconsider for the next refresh.
Onboarded a junior with this dataset. Connect rate jumped noticeably once we filtered by category. Bought it as part of a wider housing societie expansion into United States. Money well spent.
Honest reaction after a week of use: Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it as the seed list for a housing societie outbound push in United States. Saved us hours of manual cleanup.
Saved me a scraping project I'd been dreading. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to underpin a United States housing societie campaign. Recommended.
Field-tested by my team. Refresh cadence means the data feels current, not 2-years-old. Will buy again.
Used it for a market-sizing exercise. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for a United States-focused housing societie territory cut. Saved us hours of manual cleanup.
Met most of what we were looking for. Refresh cadence means the data feels current, not 2-years-old. Acceptable trade-off at this price.
Used it for a focused territory. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for a United States-focused housing societie territory cut. Minor cleanup needed but nothing major.
Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our housing societie outreach in United States. Sales team is happy.
Last Update:
Aug 17, 2026 05:45 AM
Published:
May 11, 2026 04:26 AM
Rows (Extended):
445
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
