As Questrade became one of the first financial companies to launch the FHSA account, they wanted to test a framework that could drastically change how they market existing accounts.
I managed to get 1-2 user interviews to gather some context and established a starting point. I also analyzed user search analytics that led to our site via query strings. Some of the search terms and questions I collected included:
A significant amount of data was uncovered, which I needed to place into the context of our product offerings and the stage users were at. The analysis was worked with another designer to remove bias and it came down to four key stages: exposure, learning, understanding, and application.
The typical journey on our site prioritized products to relate to users’ needs. This approach often required more effort from users to discern their needs while learning about the products. Given that our site was externally facing and aimed at acquiring new users, it was primarily used for marketing purposes with high traffic for retargeting. Analyzing organic traffic proved challenging, so I mapped out the marketing funnel with an organic approach to see how everything could fit together.
I recommended conducting a paid A/B test, as the new flow required entirely new pages that didn't align with the current information architecture (IA). The test compared this new flow with a long-form learning article that led to account opening.
Users would land on different pages dedicated to the stage they likely belonged to based on their search term. I split them into three steps:
The "account type" page provided foundational knowledge, the "benefits" page introduced product offerings, and the "ways to invest" page detailed how each product could be customized based on user preferences and experience.
There was a lot of momentum with this project, allowing us to test and explore potential solutions. When tested against a learning article, it produced initial positive results which was a good sign to see. As we looked forward to experimenting on other projects some takeaways were:
The AB test captured a small portion of traffic and was a significant departure from the existing IA, further testing on other accounts would bring in more data to compare across the learning article flow and even the regular flow too. The valuable insights we have received gave us an the importance of planning ahead to meet both user and business needs for long-term growth.