Data2SalesAI

Public Works Department Database of Virginia Latest August 2026 Updated

(19 Reviews)
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5 out of 5 stars
By Jamie

Bought it to seed a CRM import. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it as part of a wider public works department expansion into United States. Worth the price.

By Corene

Needed addresses field reps could actually drive to. Website URLs were populated for ~80% of rows, far better than the competition. Bought it while planning a public works department campaign in United States. Will buy again.

By Ottis

Decent dataset for the price. Email coverage is the highest I've seen for United States B2B data. Bought it to map public works department density across United States. Will reconsider for the next refresh.

By Aiden

Decent dataset for the price. Refresh cadence means the data feels current, not 2-years-old. Bought it as part of a wider public works department expansion into United States. Workable, the LinkedIn coverage could be better.

By Woodrow

Field-tested by my team. Hours-of-operation field meant my SDRs called during open windows. Bought it for our public works department sales team's United States pipeline. Money well spent.

By Gernot

Replaced an older vendor with this. Encoded UTF-8 with no character-set surprises in Excel. Bought it for a United States-focused public works department territory cut. Will buy again.

By Florencio

Worked for what we needed. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for our public works department outreach in United States. Minor cleanup needed but nothing major.

By Verna

Bought it to seed a CRM import. The phone column was live for 95% of the rows I tested. Money well spent.

By Deja

Bought this for a cold outbound push. Email coverage is the highest I've seen for United States B2B data. Bought it to map public works department density across United States. Recommended.

By Arely

Honest reaction after a week of use: Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to underpin a United States public works department campaign. No complaints from the field reps.

By Rohini

Used it for a market-sizing exercise. Imported into HubSpot in two clicks, every column mapped automatically. Bought it to map public works department density across United States. Will buy again.

By Penelope

Got it for a territory planning project. Website URLs were populated for ~80% of rows, far better than the competition. Worth the price.

By Trisha

Tried three vendors before this. Encoded UTF-8 with no character-set surprises in Excel. Bought it to scope a United States territory in the public works department segment. Recommended.

By Damien

Used it for a market-sizing exercise. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to support a public works department rollout in United States. Renewed for another quarter already.

By Rylee

Picked it up for a one-off campaign. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for a United States public works department market-sizing project. Recommended.

By Dianna

Pulled the trigger after reading the row count. Imported into HubSpot in two clicks, every column mapped automatically. Bought it as the seed list for a public works department outbound push in United States. Saved us hours of manual cleanup.

By Aniruddh

Skeptical at first, given the price. Sample matched live data when I spot-checked random rows. Bought it to support a public works department rollout in United States. Recommended.

By Hayley

Bought a sample first. Loaded into Power BI without a single import warning. Bought it for our public works department outreach in United States. No complaints from the field reps.

By Karen

Bought a sample first. Address quality is the strongest column in the file. Bought it for public works department prospecting across United States. Connect rate could have been higher with cleaner mobile numbers.

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Accuracy 95–98% Instant download Refreshed monthly CSV / Excel

Last Update:

Aug 18, 2026 02:30 AM

Published:

May 11, 2026 04:21 AM

Rows (Extended):

467

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