Omnichannel commerce, where customers shift constantly between online, mobile and in-store shopping, is now the norm. While this unified experience delights consumers, it also creates significant challenges for fraud prevention. Cross-channel fraud prevention helps retailers protect payment journeys across web, app and store environments by connecting fraud signals and closing gaps between channels.
Fraudsters exploit weaknesses between these touchpoints, using increasingly sophisticated tactics that traditional, siloed fraud detection systems struggle to counter. As a result, retailers and brands must adopt integrated solutions that protect transactions regardless of how or where they occur. Here’s how delegates at the Fraud Prevention Summit are approaching the task…
How Cross-Channel Fraud Prevention Protects Payments
Omnichannel retail has blurred the boundaries between digital and physical sales channels. Customers may browse products on a website, purchase through a mobile app and collect their order in-store, all while using the same account and payment credentials.
For fraudsters, this connected environment creates opportunities to exploit gaps between channels. A suspicious activity pattern that starts online may only become visible when combined with data from mobile or in-store interactions.
Examples of cross-channel fraud risks include:
- Account takeover attacks: A fraudster gains access to an online account, places fraudulent orders through a website or app, and collects items through click-and-collect using stolen customer details.
- Returns fraud: Criminals use compromised accounts or payment details to purchase products online and return them in-store for cash, refunds or gift cards.
- Mobile payment fraud: Stolen card details may be added to digital wallets or mobile apps and then used for purchases in physical stores.
- Identity manipulation across channels: Fraudsters may create fake accounts online and use them to access promotions, loyalty benefits or payment options across multiple touchpoints.
Traditional fraud prevention systems that operate separately across web, mobile and store environments often struggle to identify these connected behaviours.
Building Integrated Fraud Detection Systems
To address these challenges, retailers are increasingly adopting integrated fraud detection platforms that provide a unified view of customer activity across all channels.
These systems use technologies including:
Artificial Intelligence and Machine Learning
AI and machine learning analyse transactions across web, mobile and in-store environments to identify unusual patterns, detect emerging fraud tactics and assess risk in real time.
For example, a customer logging in from a recognised device may be considered low risk, while a sudden combination of a new device, unusual location, high-value purchase and in-store collection request may trigger additional checks.
Unified Customer Profiles
Cross-channel fraud prevention relies on connecting customer data from multiple touchpoints, including:
- Online accounts
- Mobile devices
- Payment history
- Loyalty programmes
- In-store purchases
- Returns activity
By creating a complete risk profile, retailers can identify inconsistencies that may indicate fraud, such as a customer account being accessed from a new location before a suspicious store transaction.
Real-Time Data Sharing Across Channels
Fraud intelligence identified in one channel should immediately inform decisions elsewhere. If a compromised account, device or payment method is flagged online, that information can help prevent fraudulent activity through mobile apps or physical stores.
This connected approach enables retailers to respond faster and apply consistent fraud controls across the entire customer journey.
Strengthening Identity Verification Across Channels
Effective cross-channel fraud prevention also depends on strong identity verification that protects transactions without creating unnecessary friction.
Key approaches include:
Biometric Authentication
Fingerprint, facial and voice recognition can provide secure verification for online and mobile transactions while offering a fast customer experience.
Behavioural Biometrics
Behavioural biometrics analyse how customers interact with devices, including typing patterns, touchscreen behaviour and navigation habits. These signals help distinguish genuine users from fraudsters who may have stolen credentials.
Adaptive Authentication
Adaptive authentication adjusts verification requirements based on transaction risk. Trusted customers may complete purchases with minimal friction, while higher-risk activity, such as a new device or unusual payment behaviour, can trigger additional verification.
Improving Fraud Intelligence Through Collaboration
Cross-channel fraud prevention increasingly relies on collaboration between retailers, payment providers and financial institutions.
Shared fraud intelligence networks and anonymised data collaboration can help organisations:
- Identify new fraud patterns earlier
- Improve machine learning models using broader datasets
- Respond faster to widespread fraud campaigns
- Strengthen protection across payment ecosystems
By working together, organisations can build a stronger defence against fraud that moves across multiple channels.
Creating a Connected Fraud Prevention Strategy
Fraud prevention must be as interconnected as the customer experience it protects. Retailers operating across web, mobile and physical stores need solutions that connect payment data, customer behaviour, identity signals and transaction risk.
By implementing integrated fraud detection, advanced identity verification and cross-channel intelligence sharing, retailers can reduce fraud exposure while maintaining seamless payment journeys. The result is stronger protection, improved customer trust and a more resilient omnichannel retail experience.
Are you searching for fraud prevention solutions for your organisation? The Fraud Prevention Summit can help!
