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Saved me a scraping project I'd been dreading. Hours-of-operation field meant my SDRs called during open windows. Saved us hours of manual cleanup.
Ran the CSV through our deduper first. Encoded UTF-8 with no character-set surprises in Excel. Bought it for a United States medical iot solution provider market-sizing project. Saved us hours of manual cleanup.
Live-tested 30 random rows before committing. Address quality is the strongest column in the file. Bought it for our medical iot solution provider outreach in United States. Worth the price.
Needed it for a fast launch. Refresh cadence means the data feels current, not 2-years-old. Bought it for a United States-focused medical iot solution provider territory cut. Sales team is happy.
Got it for a territory planning project. Google rating column came included, which we hadn't expected. Bought it for our medical iot solution provider sales team's United States pipeline. Renewed for another quarter already.
Got it for a territory planning project. Imported into HubSpot in two clicks, every column mapped automatically. Bought it to map medical iot solution provider density across United States. Genuinely useful.
Worked for what we needed. Google rating column came included, which we hadn't expected. Will reconsider for the next refresh.
Saved me a scraping project I'd been dreading. Email coverage is the highest I've seen for United States B2B data. Money well spent.
Pulled the trigger after reading the row count. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for our medical iot solution provider sales team's United States pipeline. Wished a few smaller towns had been included.
Looking to scope a regional rollout. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to underpin a United States medical iot solution provider campaign. Genuinely useful.
Last Update:
Aug 18, 2026 02:30 AM
Published:
May 11, 2026 03:14 AM
Rows (Extended):
143
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