Engine Design Lab
Reimagine customer engagement and monetization through
practical experimentation.
Who We Are
We help our extensive network of partners boost revenue and customer engagement by leveraging data-driven insights and quantifiable experiments. Through the Engine Design Lab, we create a platform for sharing and testing leading practices.
Total customers scaled
Financial inquiries per quarter
Total financial products matched
What You Will Find at the Engine Design Lab
We offer more than tools; we provide a collaborative space for testing and improving your product and marketing strategies.

Deep dive into some of the toughest questions:

Sample findings drawing from extensive A/B tests:
How it Works
Whether through quantifiable tests or hands-on workshops, we provide everything you need to try out new ideas and drive growth.

Proven Resources
A rich suite of plug-and-play design resources for product and design professionals.
- Guided Figma Templates
- UI/UX Prototypes
- User Flow
- Quantifiable Experiments
- Case Studies
- Creative Contents

Facilitated Workshops
Tailored to your specific user cases and designed to deliver actionable outcomes.
- Design Reviews
- Customer Segmentation
- Optimized Channels
- User Journeys
- Targeted Contents
Experimental Test Studies
The experiment: Assessing the impact on revenue by commingling first-look (1L) and second-look (2L) offers.
The result: While there was some 1L revenue cannibalization, we observed increased lead productivity and produced more revenue per lead, resulting in an 11% increase in RPL.
Additional learning: Additional refinement can enhance results by using recommendation scores to balance the 1L and 2L offers on the offer wall.
The experiment: Personalizing the default loan amount to align with up-funnel marketing messaging can drive higher conversion rates throughout the funnel.
The results: While higher default loan amounts can maximize RPL, the greatest RPU is achieved at a specific loan amount. At this amount, users are least likely to adjust the amount using the slider, leading to more leads completing the funnel.
Additional learning: Proper consumer segmentation (e.g., by income and debt levels) can help decouple the default amount from the requested amount.
The experiment: Enhancing monetization by booting engagement with a drip campaign over a 14-day period.
The results: Personalized messaging based on user attributes, spending, and app activity can positively influence the effectiveness of communication. Other effective communication methods include follow-up reminders prior to loan expiration and educational content to explore other marketplace offers.
Additional learning: Users with a history of engaging with drip campaigns are more likely to monetize.