Benjamin app drove high-value user acquisition and achieved ROAS increase of over 25% with Moloco

About Benjamin

In a crowded rewards market, Benjamin app set out to transform the cashback experience by integrating gamification. Inspired by gaming, they introduced features like tiers, badges, and daily rewards. This approach significantly boosted user retention, allowing users to unlock higher cashback rates by progressing through reward tiers. While users loved the gamified platform, Benjamin needed to scale further and attract high-quality users who would actively engage and drive revenue growth.

“In a highly competitive market, we needed a partner who could not only help us reach high-value users but also ensure those users were actively engaging with our platform. Moloco’s ability to deliver precise targeting and optimize our ad campaigns through machine learning has been key to driving scalable growth and improving ROAS." — Osku Makkyla, VP of Performance Marketing, Benjamin

Challenge: Scaling user acquisition in a competitive market

Benjamin had already captured user interest with its innovative, gamified reward approach. However, growing competition in the rewards space meant that acquiring the right users was increasingly becoming difficult. The company needed to attract high-quality users who would engage and generate meaningful revenue by driving a strong return on ad spend (ROAS).

Benjamin adopted an advanced advertising strategy designed to identify and engage high-value users across the open internet, enabling sustainable growth despite these evolving privacy regulations.

Solution: Leveraging machine learning to drive high-value user acquisition

Benjamin turned to Moloco to solve these challenges by harnessing the power of machine learning. The partnership focused on optimizing user acquisition through a dynamic, data-driven approach to maximize ROAS and long-term user engagement.

From CPA to ROAS‍

One of the first changes Moloco’s team recommended was shifting Benjamin's bidding strategy from a traditional cost-per-action (CPA) model to a more dynamic ROAS-based approach. This move allowed Benjamin to target users more likely to generate higher lifetime value (LTV). This supported ad spend for a pool of users most likely to engage and benefit from Benjamin’s gamified platform.

Overcoming iOS challenges

With the complexities of user acquisition on iOS, Moloco worked with Benjamin to develop a tailored framework focused on maximizing ROAS. By leveraging predictive models that accurately gauge user value despite limited tracking data, Moloco guided Benjamin in refining their bidding strategies for iOS. Together, they implemented testing protocols across CPA and ROAS campaigns, enabling Benjamin to adjust tactics dynamically and achieve a shorter payback window. This strategic approach efficiently helped acquire high-quality users, reinforcing the partnership's value in navigating an increasingly challenging environment.

Precise audience targeting

Moloco’s platform utilized both behavioral and contextual data to segment users with high precision. This enabled Benjamin to concentrate their marketing efforts on the most promising audience segments — users most likely to engage with Benjamin’s features. This fine-tuned targeting resulted in higher conversion rates and improved user retention, aligning perfectly with Benjamin’s growth goals.

Moloco's tailored solution, integrating advanced machine learning with precise targeting on the open internet, aligns directly with Benjamin's goals. This approach addressed immediate challenges and established a strong foundation for sustained success in the competitive rewards vertical.

Results: A winning combination of technology and strategy

The strategic collaboration with Moloco marked a significant milestone for Benjamin in terms of user growth, improved cost efficiency, and the power of leveraging machine learning technology to scale on the open internet.

• Increased D7 ROAS by 7 percentage points
• Increased D30 ROAS by 26 percentage points
• Improved user engagement and retention by 18%
• Improved user acquisition investment by over 25%

"Moloco's expertise in machine learning app marketing has been instrumental in scaling our user base effectively while maintaining strong ROI. Their tailored approach and real-time optimizations have enabled us to reach and exceed our growth targets in a highly competitive market." — Osku Makkyla, VP of Performance Marketing, Benjamin

With Moloco’s machine learning-driven solutions, Benjamin successfully scaled user acquisition, deepened audience engagement, and optimized ad campaigns across the open internet. This partnership helped solve immediate challenges and set the stage for sustained long-term growth in the competitive rewards industry.