Live-tested 30 random rows before committing. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for child specialist doctor prospecting across India. Genuinely useful.
Ran the CSV through our deduper first. The phone column was live for 95% of the rows I tested. Bought it as the seed list for a child specialist doctor outbound push in India. Genuinely useful.
Ran the CSV through our deduper first. Loaded into Power BI without a single import warning. Bought it for child specialist doctor prospecting across India. Renewed for another quarter already.
Picked it up for cold outbound. Refresh cadence means the data feels current, not 2-years-old. Bought it to underpin a India child specialist doctor campaign. Decent value, would tighten one or two fields.
Ran the CSV through our deduper first. Address quality is the strongest column in the file. Bought it to scope a India territory in the child specialist doctor segment. Acceptable trade-off at this price.
Picked it up for cold outbound. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it for child specialist doctor prospecting across India. Couple of small gaps but workable.
Needed addresses field reps could actually drive to. Hours-of-operation field meant my SDRs called during open windows. No complaints from the field reps.
First impression after the download: Encoded UTF-8 with no character-set surprises in Excel. Bought it for child specialist doctor prospecting across India. Money well spent.
Looking to scope a regional rollout. Refresh cadence means the data feels current, not 2-years-old. Bought it as part of a wider child specialist doctor expansion into India. Will buy again.
Compared this side-by-side with two competitors. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to support a child specialist doctor rollout in India. No complaints from the field reps.
Got what we needed for the prospecting list. The categorisation could be a bit more granular for our vertical, ended up regex-cleaning the industry column ourselves.