
Problem:
Fluz was seeing declining engagement and a drop in gift card purchase completions, with only 19% of users finishing the flow, and conversion trending down.
Solution:
Ran a multi-method research program, including user interviews, usability tests, a survey, and a FullStory audit to pinpoint where and why users were dropping off.
Impact:
Identified a critical 72% drop-off in the purchase flow; several recommendations were implemented including improved post-purchase guidance, clearer fee language, and UI fixes.
Role:
UX Researcher — owned study design, recruitment, moderation, analysis, and stakeholder presentation end-to-end.
What's the problem?
Fluz is a cashback app that lets users earn rewards by purchasing gift cards and joining group-buying events called "Parties." Despite a growing user base, the product was facing two compounding problems:
-
Engagement was dropping. Lapsed users were churning, and active users weren't exploring key features like Maximize and Parties.
-
Conversion was declining. Only 19% of users who started the gift card purchase flow were completing it — and that number was trending down (-8.72% conversion rate).
As the sole UX researcher, I was brought in to understand why users were disengaging and what needed to change.

Research Approach
Rather than running a single study, I designed a multi-method research program to address different questions at different levels of depth.

Key Findings
1. The Gift Card Flow Had a Critical Drop-Off
Using FullStory, I mapped the full purchase funnel and found a 72% drop-off between the amount selection screen and transfer confirmation — the single biggest leak in the entire flow.
Usability tests confirmed why:
-
Users couldn't find purchased gift cards after completing a transaction — there was no clear post-purchase confirmation directing them
-
The "Funding Source" step caused confusion and hesitation, especially with the "Bank Card" terminology
-
"Edit Balance" and "Mark as Spent" were two separate actions that users found indistinguishable
-
The "Follow" button on a merchant profile page was mistaken for a way to purchase a gift card
2. Feature Complexity Was Driving Lapsed Users Away
User interviews across active and lapsed users revealed a clear pattern: lapsed users disengaged not because they didn't value cashback, but because the effort felt disproportionate to the reward.
Key themes from interviews:
-
The Maximize tab was largely undiscovered — even active users hadn't explored it
-
Reward structures (especially Boosts) were confusing due to unclear limits and conditions
-
Notifications weren't personalized, so users felt the app wasn't relevant to their habits
3. Transparency Builds Trust
A survey of 72 users comparing two cashback display options revealed that 84% preferred seeing a full fee breakdown over a simplified adjusted rate — even when the numbers were less flattering. Users wanted clarity over simplicity.

"Yeah, because as I said, I never even went in there." - Active user
"Learning that it was 25% only on the first I think 10 or 5?" - Lapsed user
"I've always found it a little difficult to use for whatever reason..." -Active user

Recommendations
For the Gift Card Flow:
-
Add a clear post-purchase confirmation message directing users to "My Cards."
-
Streamline the funding source flow — combine billing address entry into one step
-
Merge "Edit Balance" and "Mark as Spent" into a single unified action
-
Expand clickable areas on small UI elements (icons, buttons)
-
Revise the "Follow" button to reduce confusion with purchasing
For Engagement:
-
Introduce personalized notifications based on past purchase behavior
-
Surface Maximize and Boost features more prominently through onboarding and tooltips
-
Show cashback comparisons contextually (e.g., "You'd earn X more at this party")
For Trust & Transparency:
-
Display full cashback and fee breakdown across all screens consistently
-
Add tooltips explaining how Boosts work at the point of use
Impact
Several recommendations were implemented by the product and design team, including improved post-purchase guidance, clearer fee language, and UI element sizing improvements. The research program also established a repeatable usability testing process that could be applied to future features.