Shifting from marketing content to Personalization

Shifting from marketing content to Personalization

LINE Shopping

Strategy

Strategy

Strategy

Design

Design

Design

Research

Research

Research

Shifting from marketing content to Personalization to boost user engagement and Shorten Shopping Journey

Shifting from marketing content to Personalization to boost user engagement and Shorten Shopping Journey

Shifting from marketing content to Personalization to boost user engagement and Shorten Shopping Journey

LINE Shopping, an e-commerce guide service, is considered a mature offering among LINE’s family of services. However, it has seen a decline in traffic in recent years.

Our first phase focuses on simplifying the service structure and leveraging personalized features to help users make decisions more easily, reduce choice overload, and boost both retention and conversion rates.

😢Traffic

😢Traffic

😢Traffic

😭Traffic↓↓

😭Traffic↓↓

😭Traffic↓↓

🫨Traffic↓↓↓

🫨Traffic↓↓↓

🫨Traffic↓↓↓

Objective

Objective

Objective

Increase Retention and Conversion Rates↑↑

Increase Retention and Conversion Rates↑↑

Increase Retention and Conversion Rates↑↑

Problem

Problem

Problem

01

01

01

Limited User Motivation and Engagement

Limited User Motivation and Engagement

Limited User Motivation and Engagement

Traffic heavily relies on limited motivation from LINE POINTS reward, leading to minimal engagement and retention.

Traffic heavily relies on limited motivation from LINE POINTS reward, leading to minimal engagement and retention.

Traffic heavily relies on limited motivation from LINE POINTS reward, leading to minimal engagement and retention.

Problem

Problem

Problem

02

02

02

Overloaded Ads and Fragmented Personalization

Overloaded Ads and Fragmented Personalization

Overloaded Ads and Fragmented Personalization

Marketing ads with only 1% CVR, leading to low awareness of recommend that misalign with user behavior, resulting in high bounce rate.

Marketing ads with only 1% CVR, leading to low awareness of recommend that misalign with user behavior, resulting in high bounce rate.

Marketing ads with only 1% CVR, leading to low awareness of recommend that misalign with user behavior, resulting in high bounce rate.

Problem

Problem

Problem

03

03

03

Lack of Information Makes Shopping Decision Harder

Lack of Information Makes Shopping Decision Harder

Lack of Information Makes Shopping Decision Harder

Insufficient information make it difficult for users to explore and consider effectively, reducing exploration willingness.

Insufficient information make it difficult for users to explore and consider effectively, reducing exploration willingness.

Insufficient information make it difficult for users to explore and consider effectively, reducing exploration willingness.

Strategy

Strategy

Strategy

Slimming Down LINE Shopping

Slimming Down LINE Shopping

Slimming Down LINE Shopping

Streamline LINE Shopping by reducing irrelevant advertisements and simplifying the information architecture.

Streamline LINE Shopping by reducing irrelevant advertisements and simplifying the information architecture.

Streamline LINE Shopping by reducing irrelevant advertisements and simplifying the information architecture.

Simplify Shopping Decision

Simplify Shopping Decision

Simplify Shopping Decision

Provide personalization to help users make satisfying choices effectively to foster more frequent and meaningful interactions.

Provide personalization to help users make satisfying choices effectively to foster more frequent and meaningful interactions.

Provide personalization to help users make satisfying choices effectively to foster more frequent and meaningful interactions.

Reposition

Reposition

Reposition

Strategy

Strategy

Strategy

Exploration with Campaign

Exploration with Campaign

Exploration with Campaign

Specialty

Specialty

Specialty

Sales, Marketing Driven

Sales, Marketing Driven

Sales, Marketing Driven

Strategy

Exploration with Exclusivity

Exploration with Exclusivity

Exploration with Exclusivity

Specialty

User Preferences, Benefits

User Preferences, Benefits

User Preferences, Benefits

Customer Jobs

Customer Jobs

Customer Jobs

Come here Just to

Get LINE POINTS

Come here Just to

Get LINE POINTS

Come here Just to

Get LINE POINTS

Find what I want EASIER

and also Earn Points

Find what I want EASIER

and also Earn Points

Find what I want EASIER

and also Earn Points

Homepage Structure

Homepage Structure

Homepage Structure

To Part I

To Part I

To Part I

To Part II

To Part II

To Part II

To Part III

To Part III

To Part III

Part I

Part I

Part I

Core Value

Core Value

Core Value

Evaluate the effectiveness of modules and highlight core values in the first screen to make it easier for users to get started.

Evaluate the effectiveness of modules and highlight core values in the first screen to make it easier for users to get started.

Evaluate the effectiveness of modules and highlight core values in the first screen to make it easier for users to get started.

Part II

Part II

Part II

Encourage Exploration

Encourage Exploration

Encourage Exploration

Inspire users to reach potential favorite content by their preference, and encourage users to scroll down for further exploration.

Inspire users to reach potential favorite content by their preference, and encourage users to scroll down for further exploration.

Inspire users to reach potential favorite content by their preference, and encourage users to scroll down for further exploration.

First Screen

First Screen

First Screen

Part III

Part III

Part III

Recommendation

Recommendation

Recommendation

Offer a more personalized exploration experience, and help users become familiar with service features through exploration.

Offer a more personalized exploration experience, and help users become familiar with service features through exploration.

Offer a more personalized exploration experience, and help users become familiar with service features through exploration.

Strategy

Strategy

Strategy

Design

Design

Design

Research

Research

Research

People Don’t Buy What You Do

They Buy Why You Do It.

People Don’t Buy What You Do

They Buy Why You Do It.

People Don’t Buy What You Do

They Buy Why You Do It.

— Simon Sinek

— Simon Sinek

Personal Hub! Less Friction, More Retention

Personal Hub! Less Friction, More Retention

We positioned the personal hub on the first screen of the homepage to reduce friction in the user journey and help users reach their goals faster. It strengthens long-term user retention and loyalty, while giving new users a clear understanding of the service structure and value proposition.

We positioned the personal hub on the first screen of the homepage to reduce friction in the user journey and help users reach their goals faster. It strengthens long-term user retention and loyalty, while giving new users a clear understanding of the service structure and value proposition.

Make Ads Smarter

Make Ads Smarter

Dynamically prioritized more relevant ads and used guideline for consistency to make content easier to scan and reduce ad fatigue and cognitive load.

Dynamically prioritized more relevant ads and used guideline for consistency to make content easier to scan and reduce ad fatigue and cognitive load.

Intent-Driven Exploration

Intent-Driven Exploration

Mapped key user intentions based on user current needs. This made the structure more intuitive, and increased visibility for content below the fold.

Mapped key user intentions based on user current needs. This made the structure more intuitive, and increased visibility for content below the fold.

Smart Sorting & Contextual Alerts

Smart Sorting & Contextual Alerts

Automatically sorts shortcuts based on user behavior to improve relevance and efficiency. Real-time prompts important updates, enhancing awareness without disrupting the flow.

Automatically sorts shortcuts based on user behavior to improve relevance and efficiency. Real-time prompts important updates, enhancing awareness without disrupting the flow.

Super Shortcuts Personalized Assistant

Super Shortcuts Personalized Assistant

Serving as a shortcut to the personal hub while reinforcing the core value of earning points, we used a dynamic ticker to display personalized, points-related notifications. It acts as a smart, practical shopping assistant that’s always tuned to the user’s needs.

Serving as a shortcut to the personal hub while reinforcing the core value of earning points, we used a dynamic ticker to display personalized, points-related notifications. It acts as a smart, practical shopping assistant that’s always tuned to the user’s needs.

Dynamic Notification

Dynamic Notification

Celebration Animation

Celebration Animation

Seamless Access to Personalization

Integrated “my page” into the homepage as a modal overlay for a smoother, uninterrupted experience. This made personalized content more accessible and intuitive, right where users need it, without breaking their flow.

Integrated “my page” into the homepage as a modal overlay for a smoother, uninterrupted experience. This made personalized content more accessible and intuitive, right where users need it, without breaking their flow.

Smarter Categories, Deeper Discovery

Smarter Categories, Deeper Discovery

Categories are dynamically sorted based on user behavior, with AI-generated titles to spark curiosity and engagement. Instead of just showing brand logos, we enhanced brand modules with contextual visuals and key product tags. Help users discover unfamiliar brands and driving higher conversion rates.

Categories are dynamically sorted based on user behavior, with AI-generated titles to spark curiosity and engagement. Instead of just showing brand logos, we enhanced brand modules with contextual visuals and key product tags. Help users discover unfamiliar brands and driving higher conversion rates.

Real-Time Updates for Brand Engagement

Real-Time Updates for Brand Engagement

Surfaces the latest content from followed favorite brands. This encourages return visits and drives higher follow-through and engagement rates.

Surfaces the latest content from followed favorite brands. This encourages return visits and drives higher follow-through and engagement rates.

Personalized Sorting

Personalized Sorting

Better Understanding, Higher Conversion

Better Understanding, Higher Conversion

Added contextual images and product tags to encourage exploration of emerging brands.
User Research revealed that existing modules lacked sufficient product context, making it difficult for user to get familiar with unfamiliar brands.

Added contextual images and product tags to encourage exploration of emerging brands.
User Research revealed that existing modules lacked sufficient product context, making it difficult for user to get familiar with unfamiliar brands.

Upcoming Bonus Alerts: Driving GMV Growth

Upcoming Bonus Alerts: Driving GMV Growth

Heavy users often plan their best deals and timing around brand promotions. By surfacing upcoming bonus events in advance, we helped users catch the right moment effortlessly. This boosted revisit rates and significantly increased GMV.

Heavy users often plan their best deals and timing around brand promotions. By surfacing upcoming bonus events in advance, we helped users catch the right moment effortlessly. This boosted revisit rates and significantly increased GMV.

‘Bonus Calendar’ successfully increased CTR by over 174%+ and over 5%+ of overall GMV.

‘Bonus Calendar’ successfully increased CTR by over 174%+ and over 5%+ of overall GMV.

Follow Top Shoppers: Earn More Points, Higher Conversions

Follow Top Shoppers: Earn More Points, Higher Conversions

Integrated a gamified, community-driven leaderboard to showcase top users’ point-earning purchase behaviors. By learning how others shop, users are encouraged to follow similar paths. This drives engagement and increases conversions.

Trending Tabs & Similar Items: Boost Exploration to Convert

Trending Tabs & Similar Items: Boost Exploration to Convert

Leveraged trending topic tabs to boost user awareness for deeper exploration.

As users move from awareness to the research phase, they typically seek more similar products to build familiarity with the category and feel more confident in their choices.

To support this behavior, we introduced a “More Similar Items” button, helping users build familiarity and confidence to convert.

Leveraged trending topic tabs to boost user awareness for deeper exploration.

As users move from awareness to the research phase, they typically seek more similar products to build familiarity with the category and feel more confident in their choices.

To support this behavior, we introduced a “More Similar Items” button, helping users build familiarity and confidence to convert.

Compare Smarter, Decide Faster

Compare Smarter, Decide Faster

In the shopping journey, users unfamiliar with a product often seek its specifications, price range, and best deals across stores.We simplified this research phase, helping users find the best value faster and make decisions more confidently.

In the shopping journey, users unfamiliar with a product often seek its specifications, price range, and best deals across stores.We simplified this research phase, helping users find the best value faster and make decisions more confidently.

Topic Inspiration

Topic Inspiration

Curated personalized topic bundles based on browsing history to inspire deeper exploration.

Curated personalized topic bundles based on browsing history to inspire deeper exploration.

Turn Hesitation into Action

Turn Hesitation into Action

Surfaced browsed or carted items to encourage users to set up price drop alerts, driving further purchase intent.

Surfaced browsed or carted items to encourage users to set up price drop alerts, driving further purchase intent.

Better Ad Placement, Better Engagement

Better Ad Placement, Better Engagement

Reassessed the revenue efficiency of each ad placement. Ineffective ads were either reformatted or removed, streamlining the homepage to balance usability with ad revenue optimization.

Reassessed the revenue efficiency of each ad placement. Ineffective ads were either reformatted or removed, streamlining the homepage to balance usability with ad revenue optimization.

Research showed that when the ad density within a module exceeded user expectations, users tended to ignore or abandon the entire section.

Research showed that when the ad density within a module exceeded user expectations, users tended to ignore or abandon the entire section.

Strategy

Strategy

Strategy

Design

Design

Design

Research

Research

Research

1

1

Data Analysis

Data Analysis

Data Analysis

Evaluate homepage performance, map user decision paths. Hypothesize solution for underperforming issues:

Evaluate homepage performance, map user decision paths. Hypothesize solution for underperforming issues:

↓ Declining Exploration Behavior

↓ Less Session Duration

↓ Low Participation in Benefit Mission

↓ Declining Retention

↓ Declining Exploration Behavior

↓ Less Session Duration

↓ Low Participation in Benefit Mission

↓ Declining Retention

↓ Declining Exploration Behavior

↓ Less Session Duration

↓ Low Participation in Benefit Mission

↓ Declining Retention

2

2

Competitor Analysis

Competitor Analysis

Competitor Analysis

Analyze homepage structures across 4 dimension based on "module usage" by referencing competitor layouts.

Analyze homepage structures across 4 dimension based on "module usage" by referencing competitor layouts.

Discover

Discover

Discover

start shopping journey

start shopping journey

start shopping journey

Recommend

Recommend

Recommend

personalized exploration

personalized exploration

personalized exploration

Advertisement

Advertisement

Advertisement

marketing content

marketing content

marketing content

Benefit

Benefit

Benefit

benefit mission area

benefit mission area

benefit mission area

3

3

Hypothesis

Hypothesis

Hypothesis

Segment users based on their entry purpose and familiarity with the service, hypothesize about homepage exploration and key feature usage, then develop prototype for further testing.

Segment users based on their entry purpose and familiarity with the service, hypothesize about homepage exploration and key feature usage, then develop prototype for further testing.

Heavy User

Heavy User

Visit frequency 4-7 times/week.

More than 4 orders placed in 3 months

→Find Brand and Benefit Easier

Medium User

Medium User

Have purchased but haven't used key features or participated in benefit

→Increase Feature Awareness

Goal-Oriented User

Goal-Oriented User

Users with a clear purchase intention, such as specific products, brands, or platforms

Browsing User

Browsing User

Users who browse casually triggered by points or advertising information

4

4

POC: Interview & Usability Testing

POC: Interview & Usability Testing

POC: Interview & Usability Testing

Create prototype, invite 10 users for usability testing and qualitative interviews, and validate the conceptual design.

Create prototype, invite 10 users for usability testing and qualitative interviews, and validate the conceptual design.

5

5

Vision and Mission

Vision and Mission

Vision and Mission

  1. Re-align Product Direction

  2. Support to Epic themes & Roadmap

  3. Define Problems

  4. Develop Design Hypotheses

  1. Re-align Product Direction

  2. Support to Epic themes & Roadmap

  3. Define Problems

  4. Develop Design Hypotheses

6

6

A/B Testing

A/B Testing

A/B Testing

  1. Develop Modules

  2. Keep Tracking Data Performance

  1. Develop Modules

  2. Keep Tracking Data Performance

Separate channel entrances from special offer module increased CTR by over 90%.

Separate channel entrances from special offer module increased CTR by over 90%.

Thank you for watching

Thank you for watching

Thank you for watching

Shifting from marketing content to Personalization

Shifting from marketing content to Personalization

Shifting from marketing content to Personalization

Zach Li

Zach Li

Zach Li

2023 — 2024

2023 — 2024

2023 — 2024

Let’s connect 👋🏻

Let’s connect 👋🏻

Let’s connect 👋🏻

Hi, this is Zach Li

Please feel free to reach out below

Hi, this is Zach Li

Please feel free to reach out below

zachli0604@gmail.com

zachli0604@gmail.com