Pet Walking Service Database of United Kingdom Latest August 2026 Updated

Used it for a market-sizing exercise. Website URLs were populated for ~80% of rows, far better than the competition. Saved us hours of manual cleanup.

Reasonable value for what we paid. The phone column was live for 95% of the rows I tested. Couple of small gaps but workable.

Ran the CSV through our deduper first. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Will reconsider for the next refresh.

Ran the CSV through our deduper first. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it for United Kingdom's pet walking service segment specifically. Couple of small gaps but workable.

Used it for a focused territory. Lat/long landed every pin on the right storefront in Mapbox. Bought it as part of a wider pet walking service expansion into United Kingdom. Will reconsider for the next refresh.

Loaded the file the morning we got it. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to underpin a United Kingdom pet walking service campaign. Renewed for another quarter already.

Saved me a scraping project I'd been dreading. Categorisation was granular enough to segment by sub-vertical without regex. Bought it to handle pet walking service lead-gen for the United Kingdom region. Will be the default vendor for us now.

Worked for what we needed. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it while planning a pet walking service campaign in United Kingdom. Workable, the LinkedIn coverage could be better.

Fine for the prospecting list. Connect rate jumped noticeably once we filtered by category. Bought it while planning a pet walking service campaign in United Kingdom. Connect rate could have been higher with cleaner mobile numbers.

Bought it to seed a CRM import. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for a United Kingdom pet walking service market-sizing project. No complaints from the field reps.

Bought this for a cold outbound push. ROAS improved roughly 30% versus the lookalike audience we ran before. Recommended.

Got it for a territory planning project. Google rating column came included, which we hadn't expected. Bought it while planning a pet walking service campaign in United Kingdom. Will buy again.

Pulled the trigger after reading the row count. The phone column was live for 95% of the rows I tested. Money well spent.

Live-tested 30 random rows before committing. Imported into HubSpot in two clicks, every column mapped automatically. Worth the price.

Bought a sample first. Hours-of-operation field meant my SDRs called during open windows. Bought it to scope a United Kingdom territory in the pet walking service segment. Workable, the LinkedIn coverage could be better.

Plugged it straight into our outreach tooling. Loaded into Power BI without a single import warning. Genuinely useful.

Pulled the trigger after reading the row count. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to underpin a United Kingdom pet walking service campaign. Worth the price.

First impression after the download: Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to underpin a United Kingdom pet walking service campaign. Will be the default vendor for us now.

Skeptical at first, given the price. Hours-of-operation field meant my SDRs called during open windows. No complaints from the field reps.

Ran the CSV through our deduper first. Address quality is the strongest column in the file. Bought it as part of a wider pet walking service expansion into United Kingdom. Connect rate could have been higher with cleaner mobile numbers.

Pulled the trigger after reading the row count. Loaded into Power BI without a single import warning. Bought it to support a pet walking service rollout in United Kingdom. Worth the price.

Bought a sample first. ROAS improved roughly 30% versus the lookalike audience we ran before. Workable, the LinkedIn coverage could be better.