Data2SalesAI

Structural Engineering Firm Database of Ohio Latest August 2026 Updated

(9 Reviews)
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5 out of 5 stars
By Alberto

Honest reaction after a week of use: Address quality is the strongest column in the file. Recommended.

By Carli

Replaced an older vendor with this. ROAS improved roughly 30% versus the lookalike audience we ran before. Money well spent.

By Serena

Pulled the trigger after reading the row count. Refresh cadence means the data feels current, not 2-years-old. Bought it for United States's structural engineering firm segment specifically. Connect rate could have been higher with cleaner mobile numbers.

By Yoshiko

Tried three vendors before this. Sample matched live data when I spot-checked random rows. Bought it for our structural engineering firm sales team's United States pipeline. Recommended.

By Oswaldo

Used it for a focused territory. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to support a structural engineering firm rollout in United States. Workable, the LinkedIn coverage could be better.

By Randi

Ran the CSV through our deduper first. Lat/long landed every pin on the right storefront in Mapbox. Bought it for our structural engineering firm outreach in United States. Otherwise no complaints.

By Noemy

Needed addresses field reps could actually drive to. Encoded UTF-8 with no character-set surprises in Excel. Saved us hours of manual cleanup.

By Ulices

Compared this side-by-side with two competitors. Refresh cadence means the data feels current, not 2-years-old. Worth the price.

By Crawford

Got it for a territory planning project. Loaded into Power BI without a single import warning. Bought it for a United States-focused structural engineering firm territory cut. Money well spent.

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

Last Update:

Aug 18, 2026 05:45 AM

Published:

May 11, 2026 04:03 AM

Rows (Extended):

145

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