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Got it for a territory planning project. Refresh cadence means the data feels current, not 2-years-old. Bought it to handle renewable energy development agencie lead-gen for the United States region. Will buy again.
Pulled the trigger after reading the row count. Sample matched live data when I spot-checked random rows. No complaints from the field reps.
Looking to scope a regional rollout. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to support a renewable energy development agencie rollout in United States. Sales team is happy.
Honest reaction after a week of use: The phone column was live for 95% of the rows I tested. Bought it for our renewable energy development agencie sales team's United States pipeline. Couple of small gaps but workable.
Picked it up for a one-off campaign. Loaded into Power BI without a single import warning. Sales team is happy.
Compared this side-by-side with two competitors. ROAS improved roughly 30% versus the lookalike audience we ran before. No complaints from the field reps.
Looking to scope a regional rollout. Address quality is the strongest column in the file. Bought it for our renewable energy development agencie outreach in United States. No complaints from the field reps.
Used it for a market-sizing exercise. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to underpin a United States renewable energy development agencie campaign. Will be the default vendor for us now.
Plugged it straight into our outreach tooling. Lat/long landed every pin on the right storefront in Mapbox. Bought it for renewable energy development agencie prospecting across United States. No complaints from the field reps.
Last Update:
Aug 19, 2026 05:45 AM
Published:
May 11, 2026 03:15 AM
Rows (Extended):
150
Category:
