How many records are in Apparel Retailer Database of Meghalaya Latest August 2026 Updated?

This database contains 580 verified records.

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.

Apparel Retailer Database of Meghalaya Latest August 2026 Updated (Updated August 2026) — Download CSV

Q: What is the price of Apparel Retailer Database of Meghalaya Latest August 2026 Updated?

$23.98. Buyers outside India see prices in their local currency at checkout.

5 out of 5 stars

By Nishtha

1 week ago

Tried three vendors before this. Refresh cadence means the data feels current, not 2-years-old. Couple of small gaps but workable.

Data2Sales AI Seller response 6 days ago

Thanks for the detailed review, we're actively working on the gaps you called out. If you want the gaps fixed sooner than the next refresh, open a support ticket and we'll spin a one-off pull.

By Bhola

1 week ago

First impression after the download: Refresh cadence means the data feels current, not 2-years-old. Bought it while planning a apparel retailer campaign in India. Renewed for another quarter already.

Data2Sales AI Seller response 1 week ago

Really appreciate you taking the time to write this, great to see the data drove real campaign lift.

By Prerna

1 week ago

Solid file overall. Categorisation was granular enough to segment by sub-vertical without regex. Bought it for a India-focused apparel retailer territory cut. Will reconsider for the next refresh.

Data2Sales AI Seller response 1 week ago

Appreciate the write-up, the points you raised are on the refresh checklist for the next pull. If you want the gaps fixed sooner than the next refresh, open a support ticket and we'll spin a one-off pull.

By Leela

3 weeks ago

Loaded the file the morning we got it. Cross-checked 50 entries against Google Maps and 47 matched cleanly. Bought it to handle apparel retailer lead-gen for the India region. Renewed for another quarter already.

Data2Sales AI Seller response 2 weeks ago

Thanks so much for the feedback, we'll keep tightening the column coverage in the next refresh. Happy to fast-track a custom segment if you ever need one.

By Chhavi

3 weeks ago

Got it for a territory planning project. Catchment overlap with our existing CRM was minimal — almost all net-new leads. Sales team is happy.

Data2Sales AI Seller response 3 weeks ago

Thanks for sharing how you used it, reviews like this are what keep the refresh cycle on schedule.

By Rakhi

1 month ago

Did the job for our campaign. Lat/long landed every pin on the right storefront in Mapbox. Bought it for apparel retailer prospecting across India. Minor cleanup needed but nothing major.

Data2Sales AI Seller response 1 month ago

Appreciate the write-up, noted on the minor gaps — they're tracked for the next refresh. If you want the gaps fixed sooner than the next refresh, open a support ticket and we'll spin a one-off pull.