The challenge
A privately owned US department store chain had something valuable sitting untouched: millions of high-intent checkout moments across its website and mobile app. Every completed transaction was a potential revenue opportunity but the team knew that monetizing it carelessly could do more harm than good. Post-purchase pages still carry the brand. Irrelevant, low-quality ads after checkout erode the trust the company had spent years building. The chain wanted the revenue, but only on its own terms.
The solution
Fluent helped the chain launch post-transaction advertising across both its web and mobile app properties, with full control over the advertiser mix built into the solution from day one. The team could selectively block advertisers that didn't align with brand standards, giving them confidence that every offer appearing after checkout would feel appropriate to their customers.
Mobile app integration was a priority. The app represented a significant share of the chain's best customers, and Fluent's SDK made it possible to launch inside that environment quickly, without turning the integration into a lengthy technical project.
Fluent supported the rollout as a managed service, working directly with the chain's team to align on revenue goals, refine the experience, and optimize performance over time.
Why it worked
Post-transaction offers appear after checkout is already complete, so there's no friction added to the purchase itself. Advertiser controls kept the experience brand-safe. And managed service support meant the chain didn't have to build the operation internally.
The result
The chain hit 118% of its projected post-transaction revenue goal and has seen consistent gains since launch. Monetization went live across two owned digital surfaces (web and mobile app) capturing the full scope of its checkout traffic including its highest-value app shoppers. And the team received zero negative customer feedback after going live, a result that, for a brand that knows its customers speak up when something feels off, said everything.