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
Customer inquiries per quarter
Total products consumed
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.