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Needed it for a fast launch. Imported into HubSpot in two clicks, every column mapped automatically. Bought it as part of a wider mobile phone store expansion into India. Minor cleanup needed but nothing major.
Needed it for a fast launch. Hours-of-operation field meant my SDRs called during open windows. Bought it as part of a wider mobile phone store expansion into India. Wished a few smaller towns had been included.
Bought this for a cold outbound push. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for our mobile phone store outreach in India. Will be the default vendor for us now.
Compared this side-by-side with two competitors. Connect rate jumped noticeably once we filtered by category. Genuinely useful.
Built a Looker Studio dashboard off the dataset for a client pitch. The category granularity made the slice-and-dice trivial.
Onboarding a junior analyst with this dataset as their first project. It's clean enough she's not spending day one debugging encodings.
Got a refund on a different vendor last month because half their phones were dead. Tested twenty of these at random, all live.
Last Update:
Aug 01, 2026 03:03 AM
Published:
May 11, 2026 02:22 AM
Rows (Extended):
153
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
