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TAGby

Influencer Marketing app

Boosting Influencers: Simplify search flow and help the users to stand out

I led the app product design for an influencer marketing SaaS platform,

where my UX/UI innovations that boosted the monthly

campaign applications by 34% and campaign selection rates by 66%.

I led the app product design for an influencer marketing SaaS platform, where my UX/UI innovations that boosted the monthly campaign applications by 34% and campaign selection rates by 66%.

Go to vist

Go to vist

Go to vist

My Role

App Design Lead

Skills

2022.02 - 2022.10

Product

Flutter App

Skills

Interactive prototyping, User Research &
Competitor Analysis, Usability Testing,

❋TLDR

Streamlining the entire campaign

lifecycle from application and selection
through mission execution

As App Lead Designer at TagBy from February to October 2022, I shaped a profit-sharing platform for social-media influencers, streamlining the entire campaign lifecycle from application and selection through mission execution. During this period, I delivered the following results.

New sign-ups

590% uP

994

5,874

Avg. Campaign applicants
per month

56% uP

7,167명

11,229명

01

ProbleM statement

Case #01

Low campaign application rate among new users

Through data analysis, we discovered that new influencer users in the app have a low campaign participation
rate compared to their sign-up rate. To address this issue, we examined the following data:

Through data analysis, we discovered that new influencer users in the app have a low

campaign participation rate compared to their sign-up rate. To address this issue,

we examined the following data:

case study

Case #01

Increase in nano/micro influencer activity on the Tagby app
due to rising market demand

Increase in nano/micro influencer activity on the Tagby app due to rising market demand

The TagBy solution is a SaaS platform for influencer marketing tailored to both marketers and influencers.

It includes both app and web-based services. TagBy boasts a design that maintains consistent performance between its web and

app services, leading to more effective usage of social media marketing initiatives. The objective is to cultivate a mutually beneficial

scenario for both marketers and influencers, offering reciprocal advantages to both entities.

The TagBy solution is a SaaS platform for influencer marketing tailored to both marketers and influencers. It includes both app and web-based services. TagBy boasts a design that maintains consistent performance between its web and app services, leading to more effective usage of social media marketing initiatives. The objective is to cultivate a mutually beneficial scenario for both marketers and influencers, offering reciprocal advantages to both entities.

problem definition

Case #01

51% of new influencers skip applying to campaigns,
fearing they won’t be selected and craving opportunities
aligned with their interests

51% of new influencers skip applying to campaigns, fearing they won’t be selected and craving opportunities aligned with their interests

🔍

Insights

Users seek beneficial & suitable
campaigns by their interest

Users seek beneficial & suitable campaigns by their interest

More users will apply the campaigns

if there is less competitive

More users will apply the campaigns if there is less competitive

Users need to get more chances

to be picked by clients

Users need to get more chances to be picked by clients

hypothesis

Case #01

Applying the psychological effects of slot machines to increase the
selection opportunities, providing motivation

Applying the psychological effects of slot machines to increase the selection opportunities, providing motivation

We designed the campaign application participation rate for influencers by applying the theory of psychological effects derived from

gambling and slot machines, aiming to provide appropriate rewards (success experiences). Simultaneously, we designed for successful

participation of new influencer users to enhance the successful campaign execution experience for client (advertiser) users as well.

We designed the campaign application participation rate for influencers by applying the theory of psychological effects derived from gambling and slot machines, aiming to provide appropriate rewards(success experiences). Simultaneously, we designed for success

participation of new influencer users to enhance the successful campaign execution experience for client(advertiser) users as well.

Solution

Case #01

How can we encourage influencers to be more
eager to participate in campaigns?

To resolve the issue, we devised and executed three solution steps grounded in our research and data analysis.

01

Recommending low-competitive campaigns

with personalized and beneficial filters

Recommending low-competitive campaigns

with personalized and beneficial filters

02

Offering ‘special double rewards time’ to enjoy applying

Offering ‘special double rewards time’ to enjoy applying

03

Make the win-win circle via promoting new users to clients

Make the win-win circle via promoting new users to clients

a/B TEST

Case #01

Test & Improvement

We ran a two-week A/B test with internal influencers for 2 weeks in August,

and the data showed Concept B drove greater user engagement. The detailed results are below:

-Increasing anxiety competition rate

-Lack of motivational information

-Lack of preferences & Unnoticeable filter

-Detailed match with personal interest & Easy to access

-Encouraging application feature

-Well-organized & intuitive beneficial information

a/B TEST

Case #01

Test & Improvement

We ran a two-week A/B test with internal influencers for 2 weeks in August,

and the data showed Concept B drove greater user engagement. The detailed results are below:

-Increasing anxiety competition rate

-Lack of motivational information

-Lack of preferences & Unnoticeable filter

-Detailed match with personal interest & Easy to access

-Encouraging application feature

-Well-organized & intuitive beneficial information

filtering by highest selection rate

1

Calculate the selection frequency of new influencers

on the influencer app and prioritize the display with the

'Low Competition Filtering' applied.

Filters

👀 Low competition

🚩New Campain

💰High Rewards

1

aPP

Influencer

Campaign exploration -> applying

Default filtering for High Chance

Promotion for new users

2

On the campain's influencer selection page,

apply the 'New User' badge UI along with a

promotional tooltip.

NEW

is new influencer.

If you choose a new influencer,

the participation rate in the campaign

increases by 30% or more!

Pc

Client

Campaign management -> Influencer selection page

Promotion for new users

3

Display the default setting with

'New User Priority' as sorting option

Influencer: New to Ordinary

Pc

Client

Campaign management -> Influencer selection page

Communication

Designing a design system and guide for seamless
communication with team members

D

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.

Montly Selected campaign

accounts

66% uP

678

1,023

The average monthly campaign

applicants

34% uP

7,340

9,835

Next Project

© 2024 Yuri Yang

© 2024 Yuri Yang

© 2024 Yuri Yang

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