General Contractor Database of Idaho Latest August 2026 Updated

Field-tested by my team. Loaded into Power BI without a single import warning. Bought it to scope a United States territory in the general contractor segment. Genuinely useful.

Live-tested 30 random rows before committing. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it while building a general contractor prospecting workflow for United States. Saved us hours of manual cleanup.

Wanted a United States list with verified phones. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it as part of a wider general contractor expansion into United States. Saved us hours of manual cleanup.

Stress-tested it during a client pitch. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to handle general contractor lead-gen for the United States region. Recommended.

Live-tested 30 random rows before committing. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it as the seed list for a general contractor outbound push in United States. Saved us hours of manual cleanup.

Bought for a one-time project. Website URLs were populated for ~80% of rows, far better than the competition. Connect rate could have been higher with cleaner mobile numbers.

Decent dataset for the price. Categorisation was granular enough to segment by sub-vertical without regex. Bought it while building a general contractor prospecting workflow for United States. Minor cleanup needed but nothing major.

Needed it for a fast launch. Encoded UTF-8 with no character-set surprises in Excel. Bought it for United States's general contractor segment specifically. Will buy again.

First impression after the download: Connect rate jumped noticeably once we filtered by category. Bought it for United States's general contractor segment specifically. Will be the default vendor for us now.

Ran the CSV through our deduper first. Lat/long landed every pin on the right storefront in Mapbox. Bought it while planning a general contractor campaign in United States. Saved us hours of manual cleanup.

Onboarded a junior with this dataset. Sample matched live data when I spot-checked random rows. Will be the default vendor for us now.

Compared this side-by-side with two competitors. Lat/long landed every pin on the right storefront in Mapbox. Bought it as the seed list for a general contractor outbound push in United States. Genuinely useful.

Solid file overall. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it for United States's general contractor segment specifically. Connect rate could have been higher with cleaner mobile numbers.

Compared this side-by-side with two competitors. Website URLs were populated for ~80% of rows, far better than the competition. Will be the default vendor for us now.

Onboarding a junior analyst with this dataset as their first project. It's clean enough she's not spending day one debugging encodings.