Auto Body Shop Database of Nebraska Latest August 2026 Updated

Worked for what we needed. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for our auto body shop sales team's United States pipeline. Minor cleanup needed but nothing major.

Looking to scope a regional rollout. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to map auto body shop density across United States. No complaints from the field reps.

Got it for a territory planning project. Hours and GPS were the missing pieces in my last vendor's file — this has both. Will buy again.

Tried three vendors before this. Sample matched live data when I spot-checked random rows. Minor cleanup needed but nothing major.

Bought it to seed a CRM import. Connect rate jumped noticeably once we filtered by category. Bought it for auto body shop prospecting across United States. Genuinely useful.

Did the job for our campaign. Loaded into Power BI without a single import warning. One column I'd add next refresh: secondary email.

Bought it to seed a CRM import. Bounce rate stayed under 4% on a 1,000-contact email send. Will buy again.

Met most of what we were looking for. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it to map auto body shop density across United States. Connect rate could have been higher with cleaner mobile numbers.

Got it for a territory planning project. Bounce rate stayed under 4% on a 1,000-contact email send. Recommended.

Field-tested by my team. Encoded UTF-8 with no character-set surprises in Excel. Bought it for auto body shop prospecting across United States. Recommended.

Worked for what we needed. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to handle auto body shop lead-gen for the United States region. Minor cleanup needed but nothing major.

Bought a sample first. Refresh cadence means the data feels current, not 2-years-old. Bought it as the seed list for a auto body shop outbound push in United States. Will buy again.

Used it for a market-sizing exercise. Email coverage is the highest I've seen for United States B2B data. Bought it while planning a auto body shop campaign in United States. Saved us hours of manual cleanup.

Decent dataset for the price. Lat/long landed every pin on the right storefront in Mapbox. Decent value, would tighten one or two fields.

Stress-tested it during a client pitch. Sample matched live data when I spot-checked random rows. Bought it for a United States-focused auto body shop territory cut. Recommended.

Picked it up for a one-off campaign. Refresh cadence means the data feels current, not 2-years-old. Will buy again.

Stress-tested it during a client pitch. Google rating column came included, which we hadn't expected. Bought it to scope a United States territory in the auto body shop segment. Money well spent.

Ran the CSV through our deduper first. Google rating column came included, which we hadn't expected. Bought it as the seed list for a auto body shop outbound push in United States. Will be the default vendor for us now.

Replaced an older vendor with this. Address quality is the strongest column in the file. Bought it for auto body shop prospecting across United States. Will buy again.

Used it for a focused territory. Address quality is the strongest column in the file. Bought it as part of a wider auto body shop expansion into United States. Workable, the LinkedIn coverage could be better.

Looking to scope a regional rollout. Encoded UTF-8 with no character-set surprises in Excel. Bought it to support a auto body shop rollout in United States. Money well spent.

Onboarded a junior with this dataset. Sample matched live data when I spot-checked random rows. Bought it for our auto body shop sales team's United States pipeline. Sales team is happy.

Looking to scope a regional rollout. Refresh cadence means the data feels current, not 2-years-old. Bought it to support a auto body shop rollout in United States. Money well spent.

Looking to scope a regional rollout. Address quality is the strongest column in the file. Bought it while building a auto body shop prospecting workflow for United States. Money well spent.

Onboarded a junior with this dataset. Connect rate jumped noticeably once we filtered by category. Bought it as part of a wider auto body shop expansion into United States. Recommended.

Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Workable, the LinkedIn coverage could be better.

Honest reaction after a week of use: Loaded into Power BI without a single import warning. Bought it to handle auto body shop lead-gen for the United States region. Workable, the LinkedIn coverage could be better.

Got it for a territory planning project. Connect rate jumped noticeably once we filtered by category. Worth the price.

Wanted hours and reviews together. Most vendors give you one or the other. This had both plus a Google rating column we didn't expect.

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.