
Rakuten Advertising • Jan 2025 - Ongoing
Publishers and advertisers on Rakuten's affiliate network needed to understand their contribution to sales beyond last-click attribution. When a customer discovers a product through Publisher A's blog, researches it via Publisher B's review site, then purchases after clicking Publisher C's discount link, who deserves credit?
Without this visibility, publishers couldn't prove their value in earlier phases of the funnels, and advertisers couldn't optimize their partnerships. Competitors like CJ Affiliate and Impact offered journey tracking, putting Rakuten at a strategic disadvantage.
Role: Sole UX designer
Skills: UX/UI, User Research, Prototyping, User testing
Through interviews with both internal account managers and external users, I learned taht users wanted answers to specific questions with the ability to dig deeper when needed, not open ended data exploration.
Key insight: Start with answers, allow exploration.

The Activity Summary presents raw data up front, total clicks, across phases, average clicks to conversion and baseline contributions. It allows users to quickly understand perforb before diving into complex journeys.

The three-phase framework transformed abstract click sequences into a clear narrative. Publishers could now say "I drive 40% of awareness conversions" instead of struggling to explain their role. Advertisers could identify which publishers were performing well at different stages of the journey.
For deeper analyses the Touchpoints tab revealed detailed conversion paths, presenting which sequences benefitted them most.

The default filters prevented cognitive overload while still giving users control. As users updated filter choices the report updates seamlessly.

Dual-audience view: Rather than building two separate tools, one core visualization adapted based on user type. Publishers filtered by their own SIDs and saw "you" language. Advertisers filtered by campaign or publisher group and saw top contributors. Same data structure, different views, serving both audiences without doubling engineering effort.
• 8-month development from concept to production (October 2022 - June 2023)
• Sole designer on a cross-functional team
• Launched to all eligible publishers and advertisers
Impact
• 35 daily active users exploring multi-touch attribution
• Used in sales pitches as a key differentiator against competitors
• Became standard part of the platform's analytics offering
What this enabled
What this enabled for advertisers:
Users engaged more with high-level summaries detailed paths. They wanted answers to specific questionsor not open-ended data exploration. This reinforced thateffective data visualisation guides users toward specific insights rather than overwhelming them with raw information.
Complex data visualization isn't about showing everything, it's about progressive disclosure. The dual-audience challenge taught me that the same data can serve different needs with thoughtful filtering and presentation.
This project reinforced that trust comes from transparency, not simplification. Users were willing to engage with complexity when the logic was clearly explained, building confidence in the data and insights being shown.