How many records are in Simply Fresh store locations Database of the UK?

This database contains 25 verified records.

What is the price of Simply Fresh store locations Database of the UK?

$49.20. Buyers outside India see prices in their local currency at checkout.

What file format do I receive?

CSV — UTF-8 encoded, comma-separated, Excel/Google Sheets compatible. 14 columns including company name, phone, email, website, address, coordinates, Google rating and review count.

How is the data collected and kept current?

Every record is harvested from public sources (Google Maps, business directories, official websites) and re-verified monthly. Invalid phone numbers and closed businesses are removed automatically.

How soon after purchase can I download the CSV?

Within 30 seconds of successful payment. The CSV is generated fresh from our live database at purchase time, so you always get the latest records — not a stale snapshot. You also get 7 days of unlimited downloads using a secure link sent by email.

Is the data GDPR / DPDP compliant?

We collect only publicly listed business contact information (company lines, work emails, business addresses). No personal consumer data is included. You are responsible for complying with the marketing laws of the jurisdictions you contact.

Can I get a sample before buying?

Yes — a 20-row preview CSV is available on the product page at no cost. It uses the exact same columns as the paid version so you can check format compatibility with your CRM.

Simply Fresh store locations Database of the UK (Updated August 2026) — Download CSV

5 out of 5 stars

By Bud

3 days ago

Needed it for a fast launch. Refresh cadence means the data feels current, not 2-years-old. Bought it to underpin a United Kingdom united kingdom united kingdom united kin campaign. Money well spent.

Data2Sales AI Seller response 3 days ago

Appreciate you flagging what worked, always good to hear from buyers using the file for real outreach.

By Lauriane

3 days ago

Pulled the trigger after reading the row count. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for our united kingdom united kingdom united kin outreach in United Kingdom. Saved us hours of manual cleanup.

Data2Sales AI Seller response 3 days ago

Glad to hear the dataset worked for you, always good to hear from buyers using the file for real outreach. Let us know if you'd like the file regenerated with extra columns next time.

By Stefan

1 month ago

Stress-tested it during a client pitch. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it as part of a wider united kingdom simply fresh store locati expansion into United Kingdom. Worth the price.

Data2Sales AI Seller response 1 month ago

Means a lot to hear that, great to see the data drove real campaign lift.

By Ian

2 months ago

Got it for our outreach work, but a few issues. Most rows had hours, some were stale. Bought it for united kingdom simply fresh store locati prospecting across United Kingdom. Hoping the next refresh tightens things up.

Data2Sales AI Seller response 2 months ago

Appreciate you taking the time to flag the issues, we'd like to dig into the specific rows that failed and refund or re-export them for you. Please open a Support ticket from the Help menu — paste a row sample of what failed and we'll credit those rows or re-export the file from a fresh pull.

By Andrew

2 months ago

Picked it up for a one-off campaign. Loaded into Power BI without a single import warning. Bought it to map united kingdom simply fresh store locati density across United Kingdom. Sales team is happy.

Data2Sales AI Seller response 2 months ago

Thanks so much for the feedback, reviews like this are what keep the refresh cycle on schedule. Happy to fast-track a custom segment if you ever need one.

By Joel

2 months ago

Reasonable value for what we paid. Bounce rate stayed under 4% on a 1,000-contact email send. One column I'd add next refresh: secondary email.

Data2Sales AI Seller response 1 month ago

Appreciate the write-up, we're actively working on the gaps you called out. Open a ticket via the Support tab and we'll prioritise the columns you flagged for the next refresh.