Find retailers by assortment
and expansion, live.
Search retail chains by the number of stores under one brand, by the assortment they declare, by the store manager roles they post in new cities, by their online channel or the lack of one. 30+ connected APIs and live web research feed one query. Retriever gives each chain the store listing or job ad that qualified it, plus a named contact.
Chains of more than 10 stores whose assortment covers a given category│
What you can search for in retail
- Chains hiring store managers in new cities
- Chains with more than 20 stores and no online shop
- Chains where one store in three is rated below 4
- Chains that opened a buying or category manager role
- Chains running Meta campaigns in a specific region
- Chains whose site offers click and collect but no delivery
- Franchise networks where the franchisee buys alone
See it qualify retail chains
Number of stores, brand and assortment, openings coming. One signal per tab, and every row carries the sentence that qualified it.
chains above ten stores
Store count and assortment
Chains of more than 10 stores whose assortment covers a given category
Describe the leads to search for...
Chains above 10 stores
| Score | Company | Domain | What qualified it | Decision maker | Country | People |
|---|---|---|---|---|---|---|
| Searching | ||||||
Illustrative example, fictional retail chains. A real run shows where number of stores was read, and names a contact you can write to.
Which signals qualify retail chains?
| Signal | What it tells you | Where it is read |
|---|---|---|
| Number of stores | Stores, brand and shared root domain. The real size of the network | Local listings and verified records |
| Brand and assortment | Products and services offered, speciality and price range, as declared | Local listings and the site itself |
| Openings coming | Store manager roles come weeks before an opening, and name the city | The job posts they publish |
| Rating store by store | Perceived quality point of sale by point of sale inside the same network | Local listings and reviews |
| Online channel | Online shop, click and collect, loyalty programme, or their absence | The site and its detected stack |
| Active campaigns | Campaigns running and the areas they cover | Google and Meta ad libraries |
| Buying organisation | Buyer and category roles reveal who decides and when the structure changes | Job posts and professional profiles |
| Official filings | Headcount, revenue and legal structure of the network | The official company registry |
What a qualified lead looks like here
A chain above twenty stores, with no online shop, hiring a store manager in a city where it has no presence yet. Three signals crossed on the same brand, each one read from listings and job posts.
Why most chain lists are wrong
Franchises and company owned stores look alike on a map, but a franchisee buys for one store while a company store follows a central buying desk. Grouping by brand and root domain aims your pitch at the level that actually signs.
Who you get on every row
The expansion manager, the buyer or the operations director at head office, never the store. The function is part of the choice.
- The chain, its brand and its number of stores
- The quote that qualified it, with the listing or job post it came from
- The decision maker, with verified email and LinkedIn profile
- Assortment declared, openings coming, online channel, store ratings
- Any extra column you ask for, researched chain by chain
Not a database subscription. A research agent.
Retriever
- Where answers come from
- 30+ connected APIs, plus the live web at search time: local listings and verified records, the job posts they publish
- What you can ask
- "chains hiring a store manager in a city where they have no store yet", or any criterion you can phrase
- Freshness
- What each one shows today: number of stores, brand and assortment, openings coming
- Proof
- Every match comes with the quote and source that qualified it
Static filtering
- Where answers come from
- One dataset, refreshed on its own schedule
- What you can ask
- The fields the provider ships: industry, size, location
- Freshness
- What it looked like at the last refresh
- Proof
- You trust the filter
Questions about finding retail chains
How do I know a chain is about to open a store?
A store manager role in a city where the brand has no presence comes weeks before the opening. The posting names the city, and it is on the row.
How do I tell a franchise from a company owned store?
They look identical on a map. Brand and root domain grouping separates them, which decides whether you pitch the franchisee or the central buying desk.
Can I see the rating of each store rather than the brand?
Yes. Ratings are read store by store, so a network where one store in three sits below 4 is a specific and very actionable search.
What does Retriever return for each chain?
The brand with its number of stores, the assortment it declares, the openings it is hiring for, its online channel, the rating of each store, and a decision maker at the level that decides.
Can I search retail chains by country, region or city?
Yes, and retail chains are searched store by store. Ask for a city, a region or a country. Retriever counts the stores under one brand in each market, which is how you find a chain expanding into your area before it announces it.
How is Retriever different from filtering a database?
Instead of filtering a static database, Retriever reads the live web for retail chains: number of stores, brand and assortment, openings coming. That is how "chains hiring a store manager in a city where they have no store yet" becomes a search, and why every row arrives with the line that proves it.