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Retail cannibalization analysis
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United States
Retail cannibalization analysis for your US stores
See how much your stores share visitors, how catchments and drive times overlap and how visits shift after an opening. Get a free cannibalization check.
Get a free analysis of your locations
Up to 5 locations. No cost, no commitment.
We handle your details in line with the CCPA and applicable US state privacy laws.
Retail cannibalization happens when a new store takes visitors from your existing ones instead of winning new customers. Huq shows how much your locations share visitors, where their catchments and drive times overlap and how weekly visits shift after an opening. Test a proposed site against your nearest stores before you sign. Huq manually validates more than 1,000 locations in each of its 35 markets twice a year. Start with a free analysis of one site and its neighbors.
See how retail cannibalization analysis works in Huq
The overview walks through the Huq platform: the Explore map, the metrics each area returns and how locations are saved into Projects. For retail cannibalization, watch how you can draw a proposed site next to your existing stores, add catchment and travel-time layers, and compare visits on the same basis. Results export to CSV or Excel, and data feeds can send the same metrics into your network planning models.
- Travel-time and catchment layers: show whether a proposed site reaches new neighborhoods or sits inside an existing store's catchment.
- Cross-visitation: measures the share of visitors two of your stores already have in common, for up to 10 pairs at once.
- Projects: keep every proposed site in one folder with its status, from first check to signed lease.
Trusted by 300+ organisations · Data across 35 markets
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What is retail cannibalization?
Retail cannibalization is when a new or existing store draws customers away from another store in the same network. Some overlap is expected, and it can even help if it keeps a competitor out. Too much means you've paid for a new lease to move the same visitors from one building to another.
This page covers location, or store-on-store, cannibalization. It is not about product cannibalization, where one item eats into another's sales on the shelf. Searches for sales cannibalization often mean the product kind.
Store cannibalization is usually measured three ways: how much two trade areas overlap, how many visitors two stores share, and how visits at existing stores change after an opening. Huq covers all three with visit data and drive-time analysis, so you measure the shift in traffic rather than estimating it from radius rings.
What's in your retail cannibalization analysis
01
Shared and unique visitors
For up to 10 location pairs at once, see what share of each store's visitors also visit the other.
02
Catchment and drive-time overlap
Where each store's visitors come from, how far they travel and how much catchment two stores share.
03
Weekly visits before and after
Weekly foot traffic at existing stores before and after a nearby opening, so you see real shifts in visits.
04
Benchmarking against nearby locations
Compare a proposed site with your existing stores and competitors on visits, dwell time and visit frequency.
What a retail cannibalization analysis shows
Your free analysis looks at one proposed or recently opened site and the nearest stores in your network.
01
Cross-visitation matrix across your network
See the share of visitors each pair of stores has in common. Pairs with high overlap are where cannibalization risk sits.
02
Catchment overlap map
A new site that reaches new neighborhoods adds coverage. One that sits inside an existing store's catchment mostly duplicates it.
03
Visit trend after a new opening
Weekly visits at nearby stores before and after the opening show whether the network gained traffic or just moved it around.
Retail cannibalization checks anywhere in the US
Huq covers any address in the United States: shopping centers, main streets, downtowns, strip malls, competitors' stores and sites you haven't opened yet. No counters, sensors or cameras needed.
Huq manually validates more than 1,000 locations in each of its 35 markets twice a year, and data refreshes weekly.
How it works
Step 1
Tell us your locations
Add up to five addresses in the form. Your own stores, candidate sites or competitors.
Step 2
We run the analysis
Our team maps each location from observed visitor data.
Step 3
We walk you through it
A short call to take you through what the data shows and what it means for you.
Why retailers use Huq to plan store networks
- Huq publishes its accuracy by country: a 19.5% median error across published markets, against a 30% healthy threshold.
- Huq's customers give it an NPS of 42.
- Trusted by 300+ organizations across 35 markets, including the global insights, research and location intelligence teams at Nike, Adidas, JD Sports and Samsung.
huq's platform gave us valuable data to support a key decision on potential new sites.
Dan Brogden
National Sales Manager, Puccinos
Who it's for
01
Retail chains of any size
From five-store retailers planning their next site to national brands: choose locations, track store performance and benchmark against competitors.
02
Retail real estate owners
Show shopping center performance, support leasing and get the tenant mix right, for landlords, asset managers and brokers.
03
Investors and private equity
Check how retail brands and assets actually perform before you buy, and monitor them after.
Everything Huq measures, in one platform
- Foot traffic: by week, month and year, with totals, average daily foot traffic, trends, period-over-period change, and visiting vs passing traffic.
- Residents and visitors.
- Trade area and travel time: trade areas by ZIP code, plus drive-time and travel-time analysis.
- Demographics and profiling: age, gender and purchasing power, available in selected markets.
- Behavior: visit frequency, dwell time, time of day and dayparts, cross-visitation between up to 10 location pairs, and international visitation for tourism.
- Foot traffic density and transportation mode.
- Places, brands and industries: points of interest, brand locations and brand analysis, industry performance, shopping center and retail center types.
- Geo-spend: spend by volume and category, available in selected markets.
- Tools: the Explore map (draw any area or use layers for travel time, trade areas, shopping centers, retail centers, brand locations, industries and ZIP codes), White Space Analysis, and Projects for monitoring many locations and reporting to stakeholders.
- Delivery: the platform, CSV or Excel exports, monthly PDF location reports, and data feeds as Parquet and CSV files into Amazon S3 or Google Cloud Storage buckets.
- Cadence: data refreshes weekly.
Frequently asked questions
What is cannibalization in business?
Cannibalization is when a new product or location takes sales from something the same company already sells, instead of winning new customers. Product cannibalization happens on the shelf. Store cannibalization happens when a new location draws customers from an existing one in the same network. Huq measures the store kind, using visits to physical locations rather than sales data.
How do you avoid cannibalization?
Test a proposed site against your nearest stores before you sign, checking how many visitors they would share and how much their catchments overlap. Sites that reach new areas add coverage; sites inside an existing catchment mostly duplicate it. UK retailer JD Sports used Huq's catchment and cross-visitation analysis and cut new-store location risk by 18%.
How do you calculate cannibalization?
The usual cannibalization rate is the sales existing stores lose after an opening, divided by the new store's sales. With visit data, compare weekly visits at nearby stores before and after the opening, and against stores further away to strip out seasonal swings. Shared visitors and catchment overlap show where the lost traffic went.
What's in the free retail cannibalization analysis?
We take one proposed or recently opened site and its nearest stores in your network. You get shared and unique visitors, catchment and drive-time overlap and weekly visit trends, and we walk you through what they mean. There's no cost and no commitment.
How often is the data updated?
Huq data updates weekly. After an opening you can follow visits at nearby stores week by week and see whether traffic settles, recovers or keeps moving to the new site.
Does Huq cover my stores and proposed sites?
Huq measures visits to any address across the US, including sites you don't operate yet and competitors' stores. No sensors, cameras or hardware are needed, so every location is measured the same way. Huq works in 35 markets and manually validates more than 1,000 locations in each market twice a year.
Questions? Talk to us
Book a demoAbout Huq
Huq is a location intelligence company. We turn anonymised mobile location data into footfall, catchment and visitor insight for any place, so retailers, property owners and local authorities can make decisions on evidence.
See how your locations really perform
Up to 5 locations. No cost, no commitment.