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Tried three vendors before this. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Couple of small gaps but workable.
Needed addresses field reps could actually drive to. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for India's astrology service segment specifically. Genuinely useful.
Live-tested 30 random rows before committing. Email coverage is the highest I've seen for India B2B data. Bought it to map astrology service density across India. No complaints from the field reps.
Compared this side-by-side with two competitors. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Renewed for another quarter already.
Worked for what we needed. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a India astrology service market-sizing project. Wished a few smaller towns had been included.
Loaded the file the morning we got it. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Sales team is happy.
Onboarded a junior with this dataset. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it to underpin a India astrology service campaign. Worth the price.
Bought a sample first. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to map astrology service density across India. Sales team is happy.
Last Update:
Aug 10, 2026 06:00 AM
Published:
May 09, 2026 02:56 AM
Rows (Extended):
166
Category:
Roll-up datasets — broader coverage at a higher tier are highlighted below.
