Retail tenant directories and databases: what they are good for

Every few months somebody asks me for a retail tenant database, and what they usually mean is something narrower: a list of businesses that might take their empty unit. Those are not the same thing, and the gap between them is where most of the wasted effort lives.

Here is what these lists actually contain, what they cost you in time, and the part nobody mentions when they sell you one.

What is in a tenant database

Strip away the marketing and most retail tenant directories hold four things about each business:

• Identity. Brand name, legal entity, category, and whether it is corporate-owned or franchised. This is the most reliable field and the least useful on its own.
• Footprint. How many locations, roughly where, and how fast that number has moved. A chain that opened eleven stores last year behaves differently from one that closed four.
• Unit requirements. Typical square footage, frontage, parking, whether they need a drive-thru or a grease trap. Often approximate, sometimes lifted straight from a brochure written years ago.
• A contact. A name, a title, an email or a switchboard number. This is the field people buy the database for, and it is the one that rots fastest.

The decay problem

Company names are stable. People are not. A real estate manager who changes employer takes their knowledge of your market with them, and leaves behind a row in somebody’s database that still looks perfectly valid. Nothing about the record announces that it is wrong.

You find out the expensive way. You send forty emails, six bounce outright, and another dozen simply never get a reply because they landed in a mailbox nobody reads any more. From the outside that looks like a market with no appetite. It is actually a list with a shelf life.

This is why the age of the data matters more than its size. A directory of 50,000 businesses assembled two years ago is worth less than 300 verified this month, and it is worth a lot less than it appears, because the failures are invisible.

How to use one properly

Treat the list as a starting shortlist, never as a call sheet:

1. Filter to plausible, not to many. Category, unit size and market. If your unit is 1,400 sq ft inline with no parking, every quick-service brand needing a drive-thru is noise, however good the record looks.
2. Check the footprint direction. Is this business opening or closing? Store locators, local news and their own careers page answer this faster than any field in a database.
3. Re-verify the person before you write. One search against the current company site or a professional profile. Five minutes, and it removes the largest single cause of silence.
4. Write to the individual, not the list. A message that could have gone to any of the 300 will perform like one that went to all of them. We covered the shape of a message that gets answered in the first outreach email.

Directory, database, or something else

The words get used interchangeably, but the products behind them differ in one way worth knowing.

A directory is usually a static export. You buy it, you own a snapshot, and it starts ageing the moment it lands. A database implies something maintained, where records are re-checked on some cadence. The second costs more and is worth more, but only if you can find out what that cadence actually is. Ask. A vendor who cannot tell you when a given record was last verified is selling you a directory with a subscription attached.

There is a third category now, which is tooling that goes and finds the answer when you ask rather than holding a list at all. That trades freshness for coverage, and it has its own failure modes. We compared the approaches in tenant search tools.

What a list will never tell you

The signal that actually predicts a deal is not in any database, because it is not a property of the business. It is a property of the moment: a lease ending down the street, a competitor opening two blocks away, a franchisee who just signed their second site and has said publicly they want a third.

That kind of timing comes from reading your own market, not from buying a bigger list. The database narrows the field from everyone to a few hundred. The work after that is what fills the unit, and it is the same work described in CRE prospecting that works.

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