Apparel Retailer Database of Goa Latest August 2026 Updated

Replaced an older vendor with this. Hours-of-operation field meant my SDRs called during open windows. Bought it to map apparel retailer density across India. Recommended.

Solid file overall. Lat/long landed every pin on the right storefront in Mapbox. Bought it to support a apparel retailer rollout in India. Otherwise no complaints.

Bought a sample first. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Will reconsider for the next refresh.

Honest reaction after a week of use: Sample matched live data when I spot-checked random rows. Worth the price.

Field-tested by my team. Lat/long landed every pin on the right storefront in Mapbox. Bought it for our apparel retailer sales team's India pipeline. Renewed for another quarter already.

Honest reaction after a week of use: Google rating column came included, which we hadn't expected. Bought it to underpin a India apparel retailer campaign. Connect rate could have been higher with cleaner mobile numbers.

Ran the CSV through our deduper first. Encoded UTF-8 with no character-set surprises in Excel. Bought it to scope a India territory in the apparel retailer segment. Money well spent.

Live-tested 30 random rows before committing. Google rating column came included, which we hadn't expected. Saved us hours of manual cleanup.

Honest reaction after a week of use: Imported into HubSpot in two clicks, every column mapped automatically. Bought it to support a apparel retailer rollout in India. Worth the price.

Loaded the file the morning we got it. Categorisation was granular enough to segment by sub-vertical without regex. Sales team is happy.

Wanted a India list with verified phones. Loaded into Power BI without a single import warning. Bought it while planning a apparel retailer campaign in India. Genuinely useful.

Used it for a focused territory. Hours and GPS were the missing pieces in my last vendor's file — this has both. Workable, the LinkedIn coverage could be better.

Loaded the file the morning we got it. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Genuinely useful.

Tried three vendors before this. Address quality is the strongest column in the file. Recommended.

Stress-tested it during a client pitch. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it to underpin a India apparel retailer campaign. Recommended.

Replaced an older vendor with this. Loaded into Power BI without a single import warning. Recommended.

Got it for a territory planning project. Email coverage is the highest I've seen for India B2B data. Will be the default vendor for us now.

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.