Orders up
+
42%
,
Errors down
-
82%
Redesigning a fragmented B2B order system
into one unified web app.
Product Designer
: Leading App UX Design with Product Ownership
PL
PM
1/FE
4/BE
+Marketing
Infulencer Marketing B2B SaaS
22.02.14 - 22.12.01
❋TLDR
Boosting Engagement Through
Data-Driven Insight and
Psychological Motivation Design
TAGby, an influencer-marketing SaaS, faced low campaign participation from new influencers, which weakened overall platform activation. Through UX analysis and user-behavior data,I identified that competition perception and anticipated chance of being selected were the key psychological factors driving participation.
Based on these insights, I redesigned the campaign flow to prioritize high-fit opportunities, visualize competition levels, and create early success experiences for new users. I also refined the Design System and UI architecture to improve team alignment, implementation efficiency, and product consistency.
Avg. Campaign applicants
per month
56.7% uP
Campaign application rate
among new sign-ups
144% uP
Monthly Selected campaign
accounts
34% uP
01
ProbleM statement
Case #01
Low campaign application rate among new users
02
ProbleM statement
Case #01
Where Users Drop Off:
Issues Across the Current Platform Cycle
Challenge
Case #01
Limits in Improving Campaign Engagement
01
The fundamental way to increase campaign engagement is to raise the influencer selection rate.
02
we cannot directly push clients to select more influencers.
03
Because this touches the core business model, stakeholder alignment becomes critical.
USer research
Case #01
51% of new influencers skip applying to campaigns:
primarily because they fear not being selected,
despite craving opportunities that match their interests.
🔍
Insights
hypothesis
Case #01
Solution
Case #01
How can we encourage influencers to be more
eager to participate in campaigns?
Pros
A layout that provides easy access to the
campaign thumbnails and details, offering a
clear view of multiple aspects and an intuitive
reward system.
Cons
The campaign setup is confusing. The filters are hard to see, resulting in fewer clicks, and the layout complicates viewing multiple campaigns.
Pros
The layout allows quick viewing of different campaigns, clearly highlighting key information. The prominent filter improves usability and likely boosts click-through rates, helping users easily identify available campaign types and enhancing engagement through the rewards system.
Cons
Checking campaigns by user preferences isn't intuitive; often-used filters are hidden, requiring extra clicks, which can confuse new users.
Pros
Key campaign details are clearly presented with a visual interface that features a personalized matching system. The layout allows easy access to various campaign types and filters based on user preferences, emphasizing the rewards system to enhance engagement.
Cons
The filtering layout is visually complex, adding to the overall confusion.
Personal interest
Interface by personalized
1
Based on the user’s social account analysis, we provide personalized filters in the most convenient way.
Quick-Search
⚡️ High Chance
🚩New
💰$20+
💄Beauty
aPP
Influencer
Campaign exploration -> Displaying the
Default filtering for personal interest
1
High chance & motiation
filtering by highest
selection rate
2
Calculate the selection frequency of new influencers and prioritize the display with the 'double reward time' & 'selection agv rate' for the high chance and motivation.
aPP
Influencer
Campaign exploration -> applying
Default filtering for High Chance & Motivation
2
Win-Win circle
new users first default Setting
3
By filtering, users can easily explore of the new influencers and information with diverse options.
New Users
Pc
Client
Campaign management -> Influencer selection page
Win-Win circle
Promotion for new users
4
The New User(influencer) Badge UI & tooltip guide clients to discover the benefits that increase their chances of being selected.
clients can earn monthly free chances to select new influencers. Through the banner, They Can Check The Benefits For New User Selection.
Pc
Client
Campaign management -> Influencer selection page
Communication
Designing a design system and guide for seamless
communication with team members
UX flows & actions Definition
Ensured efficient communication
across all team members
keeping everyone aligned and informed.
UI elements description
Seamless communication
with developers
Systematically organized functions, definitions, and guidelines
for components, modals, and pop-ups, and provided
environment-specific documentation to streamline communication
with developers.
design system guide
Consistent communication
with designers
Defined style guidelines to ensure system consistency and
collaborated seamlessly with designers and developers—
earning consistently positive design reviews.
result
Case #01
Selection and application rates doubled,
making a significant impact
We designed our approach by applying the theory of the psychological effects of slot machines to our hypothesis, aiming to increase
influencer’s campaign application rates by providing successful experiences through appropriate rewards. This resulted in increased numbers of
selected accounts and campaign application rates, demonstrating successful outcomes.
The average monthly campaign
applicants
56.7% uP
7,167
11,229
22.07. 01 ~ 22.10. 01
Campaign application rate
among new sign-ups
144% uP
7,167
11,229
22.07. 01 ~ 22.10. 01
Monthly new users selected
for campaigns
34% uP
292
391
22.07. 01 ~ 22.10. 01
