How to Match Different Stores Belonging to a Counterfeit Seller
Closing a seller account does not always end the problem. The same operation can reappear under a different store name, social media account or domain.
What’s in this article?
Closing a seller account does not always end the problem. The same operation can reappear under a different store name, social media account or domain.
Advanced brand protection systems therefore track the seller as an entity, not just individual listings.
What is seller entity resolution?
It analyses shared signals to assess whether different digital accounts may be connected to the same person, business or operation.
Telephone and contact details
The same telephone, WhatsApp number, email or support account across stores is one strong connection signal.
Username and brand patterns
Minor username variations, numeric suffixes or similar store names can help identify account clusters.
Visual fingerprint
Recurring product images, backgrounds, watermarks or photography styles across accounts can establish visual connections.
Domain and link analysis
- Same domain
- Same short-link service
- Same link-in-bio page
- Same payment redirect
- Same social media profile
Product portfolio similarity
Very similar product sets and pricing structures across stores can be meaningful, especially alongside other signals.
Behavioural signals
- Similar listing times
- Same price-change pattern
- Same description template
- Same campaign language
- Same product ordering
Do not decide from a single signal
A telephone number or image match alone must not be treated as conclusive ownership evidence. Assessing multiple independent signals together is the most reliable approach.
Operational implementation and measurement
In a brand protection operation, treat seller entity resolution, telephone and contact details, and username and brand patterns as parts of the same case record, not as independent checks. For each finding, record the source, product, seller, channel, date and time, risk rationale and action taken in structured fields wherever possible. This supports both individual case review and comparison of the same seller’s or product group’s behaviour over time.
Instead of focusing on total alert volume, track the verified risk rate, false-positive rate, review time, repeat-seller rate and action outcome together. In particular, record the operational answer to “Do two stores using the same photo belong to the same seller?” and use expert feedback in subsequent detections. Over time, the monitoring system can become decision support that helps the brand team prioritise cases more accurately, rather than merely finding more records.
Decision matrix and escalation approach
Sound decisions require a verification step between detection and action. Keep seller entity resolution, telephone and contact details, and username and brand patterns traceable within the same case record. Even a strong signal must not be treated as a definitive infringement finding without assessing commercial impact, data reliability and false-positive risk together. Low-confidence cases can be directed to further data collection, medium-confidence cases to expert review, and high-confidence, high-impact cases to the brand’s defined escalation process.
As the operation matures, measure not just how many records are found, but which records turn out to represent genuine risk. Track source freshness, verification rate, false-positive rate, repeat sellers or accounts, average review time and action outcome together. Linking a recurring risk to its previous case allows the team to use earlier evidence and decisions instead of starting its investigation from scratch. This turns brand protection from isolated screenshots into an auditable, comparable risk management system that can improve over time.
B10 Digital Agency’s approach
B10 Digital Agency evaluates counterfeit products, unauthorised sellers, brand impersonation and digital channel risks using seller, product and channel data, beyond individual listings. The aim is not merely to find infringements, but to turn recurring digital risks into a measurable operational system.
- Brand Protection & Monitoring
- Marketplace Intelligence & E-Commerce Monitoring
- Data Analytics & Social Listening
Frequently asked questions
Do two stores using the same photo belong to the same seller?
Not necessarily. An image match is only a connection signal.
Why does seller entity resolution matter?
It helps identify sellers reopening accounts and larger sales networks.
Can IP addresses be used?
Brands usually cannot access platforms’ internal IP data. Assess available sources and legal authorisation separately.
Can an entity score be created?
Yes. Weight telephone, image, domain, product and behavioural signals to produce a connection score.
Related articles
- How to Create and Monitor an Authorised Seller List on a Marketplace
- Cross-Border Brand Protection: Monitoring Counterfeits and Unauthorised Sellers on Global Marketplaces
- Counterfeit Risk Scoring: An Analytical Model for Counterfeit Products and Unauthorised Sales
Measure your digital brand risk
Explore B10 Digital Agency’s brand protection solutions to analyse marketplace, social media and independent e-commerce risks at seller, listing and product level.
Sources and related documents
These documents provide references for the methods and rules discussed in this article.
