Data2SalesAI

Window Cleaning Service Database of Florida Latest August 2026 Updated

(23 Reviews)
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5 out of 5 stars
By Carmen

Did the job for our campaign. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for window cleaning service prospecting across United States. Minor cleanup needed but nothing major.

By Amiya

Pulled the trigger after reading the row count. Google rating column came included, which we hadn't expected. Bought it to support a window cleaning service rollout in United States. Saved us hours of manual cleanup.

By Gaston

Met most of what we were looking for. Refresh cadence means the data feels current, not 2-years-old. Will reconsider for the next refresh.

By Casey

Plugged it straight into our outreach tooling. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to underpin a United States window cleaning service campaign. Genuinely useful.

By Michelle

Field-tested by my team. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it while planning a window cleaning service campaign in United States. Worth the price.

By Floyd

Skeptical at first, given the price. Hours and GPS were the missing pieces in my last vendor's file — this has both. Saved us hours of manual cleanup.

By Reece

Loaded the file the morning we got it. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Money well spent.

By Emanuel

Plugged it straight into our outreach tooling. Address quality is the strongest column in the file. Will buy again.

By Michale

Loaded the file the morning we got it. Connect rate jumped noticeably once we filtered by category. Bought it for a United States window cleaning service market-sizing project. Will be the default vendor for us now.

By Donavon

Met most of what we were looking for. Encoded UTF-8 with no character-set surprises in Excel. Bought it for a United States window cleaning service market-sizing project. Decent value, would tighten one or two fields.

By Tierra

Bought this for a cold outbound push. Imported into HubSpot in two clicks, every column mapped automatically. One column I'd add next refresh: secondary email.

By Pauline

Decent dataset for the price. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to map window cleaning service density across United States. Otherwise no complaints.

By Maia

Tried three vendors before this. Encoded UTF-8 with no character-set surprises in Excel. Bought it as the seed list for a window cleaning service outbound push in United States. Saved us hours of manual cleanup.

By Icie

Bought it to seed a CRM import. Loaded into Power BI without a single import warning. Bought it for our window cleaning service sales team's United States pipeline. Saved us hours of manual cleanup.

By Mabelle

Onboarded a junior with this dataset. Encoded UTF-8 with no character-set surprises in Excel. Bought it to scope a United States territory in the window cleaning service segment. Worth the price.

By Murl

Got it for a territory planning project. Hours and GPS were the missing pieces in my last vendor's file — this has both. Renewed for another quarter already.

By Biren

First impression after the download: Encoded UTF-8 with no character-set surprises in Excel. Bought it for a United States-focused window cleaning service territory cut. Genuinely useful.

By Helena

Reasonable value for what we paid. Loaded into Power BI without a single import warning. Bought it while planning a window cleaning service campaign in United States. Decent value, would tighten one or two fields.

By Rocio

Saved me a scraping project I'd been dreading. ROAS improved roughly 30% versus the lookalike audience we ran before. Will buy again.

By Lindsey

Needed it for a fast launch. Loaded into Power BI without a single import warning. Renewed for another quarter already.

By Arely

Looking to scope a regional rollout. Connect rate jumped noticeably once we filtered by category. Bought it as the seed list for a window cleaning service outbound push in United States. Recommended.

By Nikola

Plugged it straight into our outreach tooling. Loaded into Power BI without a single import warning. Sales team is happy.

By Margaret

Bought a sample first. Encoded UTF-8 with no character-set surprises in Excel. Bought it for United States's window cleaning service segment specifically. No complaints from the field reps.

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

Last Update:

Aug 09, 2026 05:45 AM

Published:

May 04, 2026 03:49 AM

Rows (Extended):

125

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