
Recover 4x more chargebacks and prevent up to 90% of incoming ones, powered by AI and a global network of 15,000 merchants.
Try-before-you-buy programs offer a genuine competitive advantage in the current retail landscape. They reduce purchase hesitation, increase average order values, and build customer trust. If you’re experiencing elevated chargeback rates from your try-before-you-buy program, the issue isn’t the model itself. It’s the infrastructure supporting it. You can de-risk the system by establishing chargeback preventive protocols and defense systems.
Try Before You Buy (TBYB) is a conversion optimization strategy where merchants allow consumers to test products (apparel, footwear, and accessories) and only pay if they love what they received. Consumers typically have seven days after receipt of the merchandise to return any undesired items without penalty. This approach enables buyers to make more informed decisions by experiencing the products firsthand before payment.
Try-before-you-buy initiatives extend beyond at-home trials. They include in-store options such as appointment shopping and showroom visits, as well as digital experiences through virtual shopping platforms and augmented reality applications.
In the current economic landscape, consumer preference for this kind of flexible purchasing option has increased. Some analysts point to TBYB converting higher on cold traffic by 5–15%. However, the try-before-you-buy concept has also created vulnerabilities that scammers exploit to commit chargeback fraud.
If your business offers TBYB programs, this guide will give you the tools and insights you need to manage try-before-you-buy chargebacks effectively. Let’s jump right in!
Try Before You Buy flips the script on traditional shopping. It gives customers a chance to experience your products firsthand, thereby making shopping more convenient and fostering greater trust, loyalty, and satisfaction with your brand.
They try on the items, decide what to keep, and then send the other items back within the given trial period. This is where the chargeback risk arises.
A customer might receive two pairs of Jordans. The customer decides they don’t like one. Instead of putting it in the mail to send back to you, they neglect to ship it. When the deferred charge finally posts weeks later, they file a dispute claiming “unauthorized transaction.” Because the billing occurred long after the initial checkout, without simultaneous authorization, issuers often side with the customer.
In other cases, goods are returned late or in unsellable condition (e.g., worn or soiled). When you bill the customer for the damage or the late return, they dispute the charge.
Traditional fraud filters score these initial orders as “low risk” because they lack visibility into post-purchase transaction dynamics (like what Chargeflow offers). The result? You incur product loss, shipping fees, and chargeback penalties on a sale you thought was safe.
Distinguishing between legitimate disputes and friendly fraud in the TBYB environment requires understanding buyer intent and the systemic failures in handover, digital billing, and physical inventory management.
The following operational and logistics gaps can cause TBYB subscribers to file disputes:
Friendly fraud in try-before-you-buy models is when customers exploit the TBYB "deferred billing" gap to bypass policies or get free products.
For instance, a customer may receive a pair of jeans for trial, wear them for a weekend event, and fail to return them. When the deferred charge posts, they experience buyer’s remorse. Instead of contacting you, they dispute the charge as “unauthorized” or claim “item not received.” The gap between order and billing increases the likelihood that the issuer treats the transaction as suspicious, often granting an immediate refund.

TBYB chargeback prevention requires thoughtful strategies to ensure the purpose is not defeated. Here are actionable ideas you can implement this peak season.
Operational chargebacks (caused by merchant error, return policy issues, or billing confusion) are the easiest to prevent by tightening your TBYB stack’s internal controls.
Friendly fraud exploits the deferred billing nature of TBYB. Prevention centers on building reasonable “positive friction” and policy enforcement. Here are some tips:
Integrating pre-chargeback alert services, such as Chargeflow Alert, allows you to intercept disputes before they escalate into chargebacks. It helps you to issue refunds proactively and maintain a healthy chargeback ratio.
Another must-have pre-chargeback tool is Chargeflow Prevent. With Prevent, you can easily identify and block known digital shoplifters at checkout. Not after the damage is done. Prevent operates seamlessly in the background, allowing customers to complete their purchase without friction or delay. Every decision is crowdsourced from merchants who have already experienced similar issues.
Chargebacks that cannot be prevented must be won. Try-before-you-buy disputes require a specialized set of evidence to overcome the “disconnected auth” problem.
Unfortunately, many providers address this problem with inefficient manual workflows and legacy systems that yield negligible results.
They cannot seamlessly extract data from multiple systems (i.e., your payment gateway, carrier APIs, warehouse management system, email service provider, 3DS auth logs, etc) and synthesize it into a cohesive representment package within the response window.
They miss the nuances of different dispute reason codes in TBYB contexts. For instance, a Reason Code 4855 (goods not as described ) for a returned item requires fundamentally different evidence than a 4837 (unauthorized transaction) for a forgotten deferred charge.
Payment networks, including Mastercard, have repeatedly observed that implementing advanced automation reduces chargebacks while improving customer satisfaction and loyalty (Mastercard 2025 State of Chargebacks Report, p. 4).
Chargeflow’s AI-powered platform stands out as purpose-built to handle the complexity of try-before-you-buy disputes at scale. The system automatically:
Most importantly, Chargeflow AI learns from every dispute outcome. The pattern continuously refines its approach based on which evidence combinations win with specific issuers, for specific reason codes.
Try-before-you-buy programs offer a genuine competitive advantage in the current retail landscape. They reduce purchase hesitation, increase average order values, and build customer trust. But they only remain viable if you manage chargeback exposure thoughtfully, especially this peak season:
If you’re experiencing elevated chargeback rates from your try-before-you-buy program, the issue isn’t the model itself. It’s the infrastructure supporting it. With these preventive protocols and defense systems, TBYB can drive growth without unacceptable risks.
Ready to protect your TBYB revenue? Learn how Chargeflow helps merchants prevent and win try-before-you-buy chargebacks with purpose-built automation and AI-powered evidence generation.

Recover 4x more chargebacks and prevent up to 90% of incoming ones, powered by AI and a global network of 15,000 merchants.