Pharmacy Retail Store Database of Meghalaya Latest August 2026 Updated

Saved me a scraping project I'd been dreading. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it for a India pharmacy retail store market-sizing project. Recommended.

Loaded the file the morning we got it. Categorisation was granular enough to segment by sub-vertical without regex. Worth the price.

Picked it up for a one-off campaign. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it as the seed list for a pharmacy retail store outbound push in India. Saved us hours of manual cleanup.

Loaded the file the morning we got it. Email coverage is the highest I've seen for India B2B data. No complaints from the field reps.

Got it for a territory planning project. Hours and GPS were the missing pieces in my last vendor's file — this has both. Will be the default vendor for us now.

Bought for a one-time project. Categorisation was granular enough to segment by sub-vertical without regex. Connect rate could have been higher with cleaner mobile numbers.

Used it for a market-sizing exercise. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to underpin a India pharmacy retail store campaign. Genuinely useful.

Needed it for a fast launch. Lat/long landed every pin on the right storefront in Mapbox. Bought it for a India-focused pharmacy retail store territory cut. No complaints from the field reps.

Bought a sample first. Hours and GPS were the missing pieces in my last vendor's file — this has both. Connect rate could have been higher with cleaner mobile numbers.

Onboarded a junior with this dataset. Hours-of-operation field meant my SDRs called during open windows. Bought it to support a pharmacy retail store rollout in India. Renewed for another quarter already.

First impression after the download: Google rating column came included, which we hadn't expected. Will buy again.

Used it for a market-sizing exercise. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to handle pharmacy retail store lead-gen for the India region. Money well spent.

Tried three vendors before this. Lat/long landed every pin on the right storefront in Mapbox. Acceptable trade-off at this price.

Bought it to seed a CRM import. Encoded UTF-8 with no character-set surprises in Excel. Bought it while planning a pharmacy retail store campaign in India. Renewed for another quarter already.

Decent dataset for the price. Website URLs were populated for ~80% of rows, far better than the competition. Bought it while building a pharmacy retail store prospecting workflow for India. Connect rate could have been higher with cleaner mobile numbers.

Field-tested by my team. Hours and GPS were the missing pieces in my last vendor's file — this has both. One column I'd add next refresh: secondary email.

Plugged it straight into our outreach tooling. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it while planning a pharmacy retail store campaign in India. No complaints from the field reps.

Bought it to seed a CRM import. Loaded into Power BI without a single import warning. Bought it for a India-focused pharmacy retail store territory cut. Will be the default vendor for us now.

Did the job for our campaign. Imported into HubSpot in two clicks, every column mapped automatically. Otherwise no complaints.

Plugged it straight into our outreach tooling. The phone column was live for 95% of the rows I tested. Bought it for a India-focused pharmacy retail store territory cut. Saved us hours of manual cleanup.

Honest reaction after a week of use: Website URLs were populated for ~80% of rows, far better than the competition. Bought it for India's pharmacy retail store segment specifically. Couple of small gaps but workable.

Used it for a market-sizing exercise. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Genuinely useful.

Compared this side-by-side with two competitors. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it for our pharmacy retail store sales team's India pipeline. No complaints from the field reps.

Live-tested 30 random rows before committing. Categorisation was granular enough to segment by sub-vertical without regex. Bought it while building a pharmacy retail store prospecting workflow for India. Sales team is happy.

Compared this side-by-side with two competitors. Encoded UTF-8 with no character-set surprises in Excel. Money well spent.

Saved me a scraping project I'd been dreading. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Bought it to handle pharmacy retail store lead-gen for the India region. Worth the price.

Tried three vendors before this. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it for a India-focused pharmacy retail store territory cut. One column I'd add next refresh: secondary email.

Bought this for a cold outbound push. Google rating column came included, which we hadn't expected. Bought it to support a pharmacy retail store rollout in India. Minor cleanup needed but nothing major.

Needed it for a fast launch. Imported into HubSpot in two clicks, every column mapped automatically. Saved us hours of manual cleanup.

Needed addresses field reps could actually drive to. Encoded UTF-8 with no character-set surprises in Excel. Bought it for our pharmacy retail store outreach in India. Saved us hours of manual cleanup.