Retail and Apparel Retail company-industry classifications.
Browse Florida business contacts classified as Retail or Apparel Retail.
Retail research can involve store operations, merchandising, business technology, or professional services. This product combines two retail labels and counts each matching email once. It is not a consumer shopper list. A retail company classification does not establish ownership or purchasing authority; company and role fields help assess the relevance of a narrower selection.
This product currently matches 6,097 unique emails using the filters below. Every included result has an email with usable syntax; missing names, phone numbers, and other fields are not invented. Additional filters can change both the count and the availability of supporting fields.
Retail and Apparel Retail company-industry classifications.
Consumer shoppers, purchase histories, store ownership, and merchandising responsibilities are not inferred.
These are matching database records, ordered to show more complete contacts first. Email, mobile, office phone, and fax values remain partially masked.
| Full name | Mobile Phone | Fax | Job title | City | Company | |
|---|---|---|---|---|---|---|
| Howard Taft | ht•••@a•••.com | ••• ••• 5944 | ••• ••• 8608 | Senior Managing Director | Miami | The Aztec Group |
| Ezra Katz | ek•••@a•••.com | ••• ••• 8600 | ••• ••• 8608 | Founder /CEO | Miami | The Aztec Group |
| Caron Oden | co•••@b•••.com | ••• ••• 2863 | ••• ••• 8423 | Pharmacist in Charge | Palm River-Clair Mel | Benzer Pharmacy |
| Jackie Alcalde | ja•••@b•••.com | ••• ••• 9136 | ••• ••• 8423 | Pharmacist in Charge | Palm River-Clair Mel | Benzer Pharmacy |
| Musa AlShibly | mu•••@b•••.com | ••• ••• 8309 | ••• ••• 8423 | Pharmacist in Charge | Palm River-Clair Mel | Benzer Pharmacy |
Preview records are examples from the matching audience, not a guarantee that every contact has the same fields.
Counts below describe populated fields across the entire matching, email-deduplicated audience—not just these five preview records.
100% of matching contacts
100% of matching contacts
42% of matching contacts
91% of matching contacts
14% of matching contacts
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1% of matching contacts
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0% of matching contacts
100% of matching contacts
Start with the defined audience, then review the available company and professional fields for relevance.
Use recorded location and role information to narrow the selection before planning your communication.
Compare field coverage and matching examples before deciding whether this audience fits your needs.
Add cities, counties, ZIP codes, roles, or supported classifications in the list builder. Your product filters are already applied.
The database combines recorded professional/license information and company-contact data. Some groups also use reviewed title mappings. This product’s exact selection is shown above; a recorded classification is not independent proof of a current credential or employer.
Email counts require usable syntax. Recorded validation labels and dates may be available in the list builder, but neither the product count nor a label guarantees present deliverability.
The list builder supports audience research and protected previews. Checkout and purchased exports are not enabled in this local preview. No purchase or download entitlement is implied by opening a product page.
No. It is a company-industry business-contact audience and does not use consumer shopping behavior or purchase history.
It is the number of matching unique email addresses after applying this product’s filters and the Florida contact-address restriction. It is not a count of unique people, organizations, active licenses, or guaranteed deliverable mailboxes.
Yes. The Explore matching contacts button opens the list builder with this product’s profession, classification, industry, or location filters applied. Add location filters there; the matching unique-email total updates for the narrower audience.
No. Supporting fields vary by source. The field-coverage section reports availability across the matching audience, and the preview puts more complete records first. A preview row is not a promise of uniform field coverage.
0% of matching contacts
0% of matching contacts