Cross-Platform Mobile Dating App

Industry:
Online Dating
Location:
Sweden
Collaboration
2024-Ongoing

Customer

The owner of this app is a seasoned marketer as well as a social activist and community event organizer.

After diving into the tech world thanks to some exciting new connections, they got hooked. So, they decided to combine socializing and technology, using their full range of talents to keep doing what they've always done - bringing people together.

Challenge

The customer aimed to create a dating app for international communication that would eliminate the main obstacle for those seeking their soulmate abroad: the language barrier.

For this purpose, the app should offer automatic translation for both text and voice communication, ensuring that speakers don't even realize they are speaking different languages!

This feature was meant to be the main distinguishing advantage of the app, setting it apart from similar ones. But not the only one. The client also aimed to avoid other common flaws of dating apps, which, as they were well aware, are sources of frustration for users:

  • Respectful monetization instead of profile access restrictions to pressure users into paying
  • Smart prompts that help create an authentic profile and maintain meaningful conversations

Cyfrania confidently faced this challenge, striving to give this wonderful concept a suitable technical foundation.

Solution

The client opted for cross-platform development, planning to use a single codebase to launch mobile apps for both iOS and Android simultaneously.

For this kind of app, the importance of the visual aspect and smooth user experience is impossible to overstate. Our UI/UX designer, working closely with the customer, meticulously crafted every detail of the app's appearance and user interaction. The focus was particularly on:

  1. The profile completion process, which had to be extremely simple yet provide enough meaningful information for matching
  2. The process of virtual gift exchanges, which was intended to serve as a major monetization tool

The second key task was to develop an advanced algorithm that would analyze profile info and message texts to provide users with truly helpful tips on which profiles to pay attention to and how to improve their chances of success.

The app was built in phases: first, an MVP with core features, then its gradual expansion and refinement based on feedback and actual usage data.

Key App Features

Guided profile-filling process

Each user profile features a photo gallery, a personal bio, and a list of interests and partner preferences. The defining feature of this app is its smart algorithm, which:

  • Breaks the process down into small steps, making it less overwhelming
  • Encourages the user to provide enough details and gives specific tips, to ensure the profile is authentic and informative for matching purposes

Safe and engaging profile search

The smart algorithm keeps user feeds filled with relevant choices. Additionally, users have the option to independently search for partners within a chosen radius and based on any criteria, showing their interest by hitting “like”.

Defining features of this particular app:

  • Users can freely search all profiles without any restrictions. For personal communication, however, consent from the partner is needed
  • Users can freely access the full history of interactions. They can see all their likes, likes on their profile, and match likes without any restrictions

Absolute freedom from any language barriers

Users can send messages and conduct audio and video calls.

The prominent aspect of this app is the seamless automatic translation, enabling multilingual conversations to flow naturally:

  • When chatting via text, users speaking different languages can see messages displayed in both languages at once
  • During audio and video calls, the app automatically recognizes speech and displays a real-time transcription in two languages

Smart, adaptive algorithm that anticipates matches and gives useful tips

Our advanced, self-learning algorithm assesses profile data, user preferences, message content, and interaction statistics to make sure it efficiently:

  • Suggests profiles that are relevant for the user to explore
  • Offers personalized tips on refining profile as well as starting conversations, overcoming awkward moments, and enriching dialogues

Gamified virtual gift exchange

It’s a special feature of this app that allows users to send virtual gifts as a gesture of appreciation. Users can select from a variety of template images with text and personalize them as desired.

This offers advantages in multiple ways:

  • Users enjoy collecting gifts as sort of unique badges
  • It’s a way to thank others for their attentive behavior, thus contributing to the building of an authentic and supportive environment
  • Free gifts are available several times a week, with the option to buy extras. This is a significant revenue stream for the app owner

Customizable notifications and useful statistics

With user consent, the app sends notifications or emails to keep them updated on everything that happened during their absence:

  • Profile views, likes, matches, gifts, and messages
  • Additionally, personalized and specific advice on how to increase profile effectiveness

Team Composition and Project Timeline

The team working on this project included a UI/UX designer and two mobile developers. The MVP was released to users within two months, and all the mentioned functionality was finalized two months after that.

Results

The app gained good traction among users. Early adopters highlight in their reviews that they are impressed by the app’s live translation feature during video calls, as well as its emphasis on real connections rather than superficial matching.

The customer is satisfied with the user base growth and the initial sales figures. They are relying on a user-driven promotion approach and plan to add features in the next stage that will enable users to share their experiences and invite friends effortlessly.

Services Provided

Technologies Used

  • Flutter
  • Firebase / Firestore
  • Stripe / PayPal
  • Twilio
  • Amplitude
  • DeepL
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