When a Competitor Closes Nearby, Do You Get Its Customers?
When a competitor closes nearby, the closest stores gain most, and the first few visits decide who stays. What the 2025 closures show, and how to measure your share.
Usually some of them, rarely most, and how many you keep depends on what their first few visits are like. When a competitor closes nearby, stores close to it gain sales, and the gain is largest for the nearest stores: a study of about 80 million transactions at a US department store chain found that sales rose the closer a store was to a closed competitor location. For an operator with many locations, the useful answer is which of your stores will gain, by how much, and which new customers will stay, and Dimension Labs is built to find that out from what those customers say in reviews, chats and calls, read next to transactions for every store.
Below: what the 2025 Joann and Rite Aid closures showed, how much traffic nearby stores gain, why part of it leaves again, and what to do before and after a rival closes. The worked example uses synthetic sample data for a fictional regional drugstore chain with 90 stores. For the opposite decision, when you are the one closing stores, see store closures: will customers follow you to other stores.
What happens to nearby stores when a chain closes locations?
They pick up a share of the closed chain's customers, the share is largest close by, and the customers who move tend to arrive in a rush. Two chain-wide closures in 2025 show it from the outside.
Joann filed for bankruptcy in January 2025 and then announced it would close its stores. Before the last stores shut, Numerator asked 500 people who had bought at Joann in the past six months where they would shop instead: 74% named craft stores such as Michaels or Hobby Lobby, 44% online, 39% mass retailers such as Walmart or Target, and 24% independent or local craft and fabric stores. The overlap was already there: in 2024, 49.9% of Joann's visitors also visited Michaels and 49.1% Hobby Lobby, up from under 45% in 2019. In June 2025, Placer.ai reported Michaels visits up 9.2% year over year.
Rite Aid filed for bankruptcy for the second time on May 5, 2025, with about 1,240 stores, and said it would sell substantially all its assets. Its prescription files went to chains such as CVS, Walgreens, Albertsons and Kroger, and the last stores closed around the end of September 2025. By October, CVS said it had moved prescription files from 626 Rite Aid pharmacies in 15 states to nearby CVS stores. A pharmacy closure is the clearest case of a handover, because the customer's file travels to a named store. Most closures have no file, so customers choose, and they choose by distance, by what they came for and by how the first visit goes.
Public announcements, reporting and research
When a chain closes, the nearby survivors gain, and the gain is measurable
Dated events from two chain-wide closures in 2025, and one study of a retailer whose rivals closed stores.
| When | What happened | What it showed |
|---|---|---|
| Jan to Feb 2025 | Joann filed for bankruptcy, then announced it would close its stores | In a survey of 500 recent Joann buyers, 74% said they would shift craft purchases to stores such as Michaels or Hobby Lobby; 44% named online |
| 2024 (before) | Placer.ai foot-traffic data on Joann visitors | 49.9% of Joann visitors also visited Michaels and 49.1% Hobby Lobby, up from under 45% in 2019 |
| Jun 2025 | Placer.ai on the craft category after the closures | Michaels visits up 9.2% year over year |
| May 5, 2025 | Rite Aid filed for bankruptcy again with about 1,240 stores and planned to sell substantially all its assets | Prescription files went to CVS, Walgreens, Albertsons, Kroger and others |
| Oct 2025 | CVS finished buying Rite Aid prescription files | Files from 626 pharmacies in 15 states moved to nearby CVS stores |
| 2022 study | Akturk and Ketzenberg, about 80 million transactions at a US department store chain | Store sales rose the closer a store was to a closed competitor location, and online sales rose where the chain had a store nearby |
The research adds a useful detail for multi-location operators. In the department store study, online sales also rose where competitors closed, but only where the retailer had a store nearby, and returns of online orders to stores rose too. A nearby store is how you collect the closed rival's customers in every channel, so measure the gain at the level of the trade area, not only at the till.
A competitor near us is closing. Will we get its customers?
You will get a share of them if three things are true, and you can check each one before the closing date.
You are close. Distance decides most of it. In the sample below, stores within a mile of a closing rival gained about four times as much as stores one to three miles away.
You sell what they came for. Joann's shoppers named craft stores first and online second, because that is where the same goods were. Read your own customers' comments for the products and services they mention buying at the rival: if they already compare you on those, you are on their list.
Switching is easy. A prescription transfer, a returns policy that accepts the rival's receipts, staff who know the closed store's regulars by name: anything that lowers the cost of the first visit raises the share that makes it.
All three are things you can see in advance. Your own reviews and conversations already say which customers shop both stores and what they buy where, so you can plan for a closure next door before the doors shut.
How much traffic do you gain when a competitor store closes?
In the sample, the 18 stores within a mile of a closing rival store gained 18.4% in weekly transactions in the first 13 weeks (90% range 16.6% to 20.1%), against 50 stores with no closing rival within 3 miles. By weeks 14 to 26 the gain was 12.9% (10.2% to 15.5%). Stores one to three miles away gained 4.5% and then 3.3%.
Sample data, fictional drugstore chain
The stores closest to the closed rival gained most, and part of the gain faded by the second quarter
Change in weekly transactions after a rival chain closed, against 50 stores with no closing rival within 3 miles, with 90% ranges. Synthetic data.
Added up, the chain's nearby stores took about 10,461 extra transactions a week, roughly 31% of what the rival's 16 closed stores had been doing. The rest went to other rivals, online or nowhere, which matches the spread of answers in the Joann survey.
Two cautions keep the estimate honest. First, a plain before-and-after at the nearest stores said +14.5%, less than the measured gain, because the season was running 3.3% lower at the comparison stores over the same weeks. The season, the weather and other openings or closings in the area all move the same number, which is why separating the decision from the weather matters as much for a rival's move as for your own. Second, the first weeks after a closure are inflated by curious and displaced customers; the number that matters for staffing and stock is the one after the first quarter.
Why do some of the new customers leave again?
Because the rush makes the first visit worse, and the first visit decides. In the sample, wait and line complaints at the nearest stores rose from 6.1 to 15.6 per 100 reviews after the closure, while the comparison stores stayed at 6.3.
That showed up in who stayed. Of the new customers whose first review, chat or call complained about the wait, 40% were still buying 90 days later; of those whose prescription moved over without a problem, 74%.
Sample data, fictional drugstore chain
New customers who met a long wait in their first weeks were the ones who left
Share of the 7,080 new customers at the nearest stores still buying 90 days later, by what their first review, chat or call said. 90% ranges. Synthetic data.
All new customers: 58%
That is the most useful finding for an operator, because it is in your control. The customers a rival's closure sends you are won or lost in the first weeks, and what they write in those weeks tells you which way it is going while there is still time to add staff, open a second register or call the customers whose transfer went wrong. Customers who say they are still deciding between stores are the easiest to keep with a small gesture, and they have told you who they are.
What should we do before and after a rival closes nearby?
Rank your stores by distance to each closing location. The nearest one or two stores take most of the gain; plan staffing and stock there first.
Read what your customers say about the rival. Comments that name the closing store, compare prices or products with it, or mention shopping both tell you which of your stores already share its customers.
Pick a comparison group before the date. Stores of the same type with no closing rival nearby give you the season and the weather, so the gain you measure is the rival's closure and not the calendar.
Watch the first-visit signals weekly. Wait, stock-outs, transfer problems, and "still deciding" comments from new customers, by store. These move weeks before retention does.
Measure the gain after the first quarter. The early weeks overstate what you will keep. Weeks 14 to 26, against the comparison stores, is the number to plan on.
The same steps work when the closing store is a different kind of business that shares your customers, a grocer next to your pharmacy or a gym next to your cafe, as long as you can see the closing date and the customers who used both.
How does a customer world model handle a competitor closing?
It treats the closure as one of the things the world did, next to the weather and the calendar, and joins it to what your customers said and what they did next. A customer world model keeps four layers of data: what customers say, what they do, what the business did and what the world did. The number of competitors near each store is one of the outside sources that earns its place, because it moves visits at the same time as your own decisions.
That matters in both directions. If a rival closed down the road the same month you changed prices, the price change will look better than it was unless the closure is in the model. And when the next closure is announced, the model already holds what the last one did to each store type and which new customers stayed, so the estimate for the next one starts from your own record, as a range, if the relationship measured last time holds. A dashboard shows that sales at a store went up; as Andrew Hong argues in every enterprise has a dashboard of what happened, it takes a model of why to say how much of that the rival's closure caused. For the forward version of this method, see how to test a business decision before you make it; for the same split on a sales decline, see same-store sales down: traffic, price or experience.
What does Dimension Labs do for an operator when a rival closes nearby?
Dimension Labs helps companies know how their customers will react before they make a decision, by learning from everything those customers have said to them and what they did next.
For an operations leader with many locations, that starts with every channel in one place: Google reviews, app reviews, surveys, chats and calls for every store, read the same way, so a new customer's complaint about the wait counts whether it arrived as a review or a phone call. The platform connects those channels to transactions, loyalty records and store data such as distance to each rival, with little setup; the join to CRM and revenue data and effects with confidence intervals are on Prove ($2,999 a month) and up. It enriches every interaction with Dimensions written for your business, such as "transferred from the closed store", "complained about the wait" or "still deciding between stores", and those labels are usable by operations, marketing and finance alike; custom Dimensions start on Discover ($999 a month). The results come back as decks, dashboards, PDF and executive reports, or an interactive data story that store and regional managers can open the week a rival closes.
Travelers, which handles millions of customer interactions, uses Dimension Labs to compare performance across business units and regions, and reports 600% ROI within 18 months and $3.13M in total savings. Its Data Science Business Partner put it this way: "Dimension Labs gives us that 50,000-foot view we needed to figure out what's going on out there." (Travelers story) Seeing every location's customers in one view is what a rival's closure calls for.
When something simpler is the better choice: if all you need is how many people visited your stores and the rival's before and after, a foot-traffic data provider such as Placer.ai gives you visit counts without your own data. Dimension Labs earns its place when you want to know which new customers will stay, why the others leave, and what to change at which store while it still matters.
FAQ
A competitor near us is closing. Will we get its customers?
Some of them. Expect the nearest stores to gain most and stores a few miles away a little. In the sample, the nearest stores gained about 18% in the first quarter and kept about 13% in the second; together the chain took roughly 31% of the rival's volume.
What happens to nearby stores when a chain closes locations?
They gain sales, most of all the closest ones, and online sales rise where they have a store nearby, according to a 2022 study of a US department store chain. The gain is largest in the first weeks and settles lower once the closed chain's customers have chosen.
How much traffic do you gain when a competitor store closes?
It depends on distance and on what you sell, so measure it against your stores with no closing rival nearby over the same weeks. A plain before-and-after mixes in the season: in the sample it showed +14.5% where the measured gain was +18.4%.
What is the best way to keep a closed competitor's customers?
Make the first visits easy and watch what new customers say in their first weeks. For a chain with many locations, Dimension Labs reads every review, chat and call from those customers with the same labels and joins them to their transactions on Prove, so you can see which stores are losing them and why while there is time to act.
Bring one export of reviews or customer conversations from the stores near a rival that closed, with the closing date, and start with one file to see what its customers said when they arrived and who stayed. Every plan from Explore to Scale starts with a 14-day free trial.