Crazy Filipina Love

Problem:

The client’s offline business operations were inefficient and could not scale to meet growing demand.

Solution:

We developed a custom dating platform and transitioned the client’s business from offline to online. Our team custom-built the entire platform to differentiate it from standard dating websites in the market. We designed an easy-to-use interface that provided a unique feel and experience. The platform’s backend was built to handle high traffic, ensuring smooth operations even with a large user base. We used modern web technologies to ensure scalability and performance and enable the platform to grow with the business.

Problem:

The client’s extensive matchmaking criteria were difficult to translate into a digital format.

Solution:

We collaborated closely with the client to understand the specifics of their matchmaking process. We then developed a comprehensive 9-step onboarding process that collects detailed user information, including personality traits, beliefs, habits, lifestyles, and expectations. This data-driven approach allowed us to create fully optimized user profiles. The onboarding process was integrated with a sophisticated matching algorithm, ensuring that users are paired based on deep compatibility metrics.

Problem:

The client faced trouble in keeping the users engaged and active.

Solution:

We created and incorporated several interactive features to build an engaging user experience. Let’s discover some of them:

• Users can see all candidates online and are interested in finding a match.
• Users can view other candidates’ profiles, including their beliefs, interests, and images.
• The platform allows users to chat and upload/view stories.
• Users can see their admirers and rate other profiles for future reference.

Problem:

The client faced troubles in providing a personalized experience to users looking for their true match.

Solution:

 To make dating more personalized, we incorporated advanced filters where users can filter down their options by setting their interest level, based on their activity level, by a specific name, or even choosing a specific area. What’s even better is that they can find their biggest admirer based on our algorithm. Users can even set their preferences by narrowing down the large groups. Our custom mechanism takes the data gathered while onboarding and matches that with the set preferences to come up with the best matches.

Problem:

The client needed a way to monetize the platform effectively.

Solution:

We introduced a subscription model offering three packages- Trust Standard, Trust Plus, and Center Stage. Each package provided different levels of access to premium features, such as enhanced profile visibility, advanced matching criteria, and exclusive communication tools. This tiered subscription model allowed users to choose the level of service that best suited their needs while also providing a revenue stream for the client.