Plumber Database of Delhi Latest August 2026 Updated

Needed it for a fast launch. Google rating column came included, which we hadn't expected. Bought it to handle plumber lead-gen for the India region. Recommended.

Onboarded a junior with this dataset. Google rating column came included, which we hadn't expected. Bought it to scope a India territory in the plumber segment. Genuinely useful.

Got it for a territory planning project. The phone column was live for 95% of the rows I tested. Bought it for India's plumber segment specifically. Worth the price.

Pulled the trigger after reading the row count. Email coverage is the highest I've seen for India B2B data. Bought it as part of a wider plumber expansion into India. Couple of small gaps but workable.

Picked it up for cold outbound. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to underpin a India plumber campaign. Will reconsider for the next refresh.

Pulled the trigger after reading the row count. The phone column was live for 95% of the rows I tested. No complaints from the field reps.

Met most of what we were looking for. The phone column was live for 95% of the rows I tested. Acceptable trade-off at this price.

Used it for a market-sizing exercise. Google rating column came included, which we hadn't expected. Bought it for plumber prospecting across India. Will buy again.

Used it for a market-sizing exercise. Google rating column came included, which we hadn't expected. Bought it for India's plumber segment specifically. Will buy again.

Ran the CSV through our deduper first. Hours-of-operation field meant my SDRs called during open windows. Bought it while planning a plumber campaign in India. Recommended.

Bought a sample first. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for India's plumber segment specifically. Wished a few smaller towns had been included.

Honest reaction after a week of use: Refresh cadence means the data feels current, not 2-years-old. Saved us hours of manual cleanup.

Solid file overall. Loaded into Power BI without a single import warning. Bought it while planning a plumber campaign in India. Decent value, would tighten one or two fields.

Replaced an older vendor with this. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Renewed for another quarter already.

Skeptical at first, given the price. Loaded into Power BI without a single import warning. Genuinely useful.

Stress-tested it during a client pitch. Address quality is the strongest column in the file. Bought it to handle plumber lead-gen for the India region. Sales team is happy.

Stress-tested it during a client pitch. Lat/long landed every pin on the right storefront in Mapbox. Bought it as the seed list for a plumber outbound push in India. Money well spent.

Field-tested by my team. Bounce rate stayed under 4% on a 1,000-contact email send. Worth the price.

Looking to scope a regional rollout. Encoded UTF-8 with no character-set surprises in Excel. Bought it while planning a plumber campaign in India. Will buy again.

Met most of what we were looking for. Address quality is the strongest column in the file. Decent value, would tighten one or two fields.

Pulled the trigger after reading the row count. The phone column was live for 95% of the rows I tested. Workable, the LinkedIn coverage could be better.

Field-tested by my team. Imported into HubSpot in two clicks, every column mapped automatically. Bought it for plumber prospecting across India. Workable, the LinkedIn coverage could be better.

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.

Fine for the campaign we ran. Would have preferred LinkedIn URL coverage to be higher than it is.

Cross-referenced 50 entries against Google Maps and 47 matched cleanly. Three were closed since their last scrape, manageable but not perfect.