I co-founded Minden Kupon, a top daily deal website in Hungary with more than 170k registered active users and more than 70 business partners.
With my co-founder, our goal was to provide the best user experience for accessing new deals every day. We built a service that brings the best online deals together and presents them in editorial quality and data-driven ranking. We also provided emerging daily deal websites an audience they dearly needed for fast growth.
In 2010, the daily deal business was booming worldwide, lead by services like Groupon and LivingSocial. Daily deal websites started to take off in Hungary as well. With the increasing number of services fighting for the users' attention, we saw the need for an aggregator that radically simplifies keeping updated.
With my co-founder, we followed a lean approach to make sure there’s real user need and a market for such an aggregator. After the initial research, we started with a ghetto test: we created a landing page letting people to sign up for a newsletter that didn't exist yet.
Analyzing interest, conversion, behavioral data and qualitative feedback from our first users, we could establish a business case and started investing in building the product.
In the first phase, we focused on growing a newsletter subscriber list as we saw that email leads to the highest daily engagement rates. Therefore our website’s main purpose was to convince users to sign up to our mailing list.
Here is a wireframe for the first version of our homepage I created:
And a later iteration:
Early 2012, based on market feedback, we decided to focus on web-based deals along with the newsletter. I designed our new website that introduced online deals and new features like topical landing pages and automatic personalization.
Here’s my high-fidelity wireframe of the final website iteration:
We also designed and implemented our admin system from scratch.
The admin panel catered for the needs of our editorial team to manage content and build collections and newsletters. It also provided in-depth statistics like detailed email stats and cohort analysis.
Here's the wireframe I created for the statistics admin page we implemented in-house:
As a result of continuously listening to our users and analyzing usage behaviors, we improved our product on many fronts. Here are two unique design details that aim to reduce misspelled email addresses.
To provide the best sign-up experience and increase conversion, we opted not to have the users repeat their email addresses. To make up for such a confirmation, we introduced an auto-correction feature using a database of commonly misspelled domain names of email providers. The feature substantially reduced misspelled emails:
We introduced another checkpoint right after the user signed up, allowing the user to correct any mistakes in her email:
I conducted dozens of experiments and a lot of research to understand our users and continuously improve the product.
Types of the experiments and research did:
I used different softwares to analyse user behaviour: Google Analytics, Visual Website Optimizer, Clicktale, Polldaddy.
Here's the result of a sample A/B test I designed that lifted conversions by more than 25%.
Some key facts: