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E-Commerce Solutions

Use Data to Improve Your ROI

Using MAAC for your e-commerce website can help you understand your audience's profile. Use data tracking to create accurate communications and purchasing promotions; hugely increase your click-through rates and ROAS; and help your message ROI grow. You can also use MAAC as a foundation for CRM.

 

Offline Behavior Tracking

It is not enough for brands to understand users through LINE interface chatbot interactions alone. MAAC's data function track where users go next on external sites, such as official websites, consumption, pending checkouts in their shopping carts, and other behaviors.

Shopping Cart Re-marketing

40% of consumers leave products in their shopping carts without completing check-out. Through LINE re-marketing reminders, an average of 5% to 30% of sales can be recovered, thus increasing LINE channel conversion rates and greatly increasing store profits.

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Successful Case

FruitPay

The subscription-based vertical e-commerce FruitPay, using the shopping cart retargeting function, increased the CTR of the messages by 310% and the revenue by 5%, successfully saving the abandoned shopping carts.

45%​

users leave items in cart

310%

Increase in 

CTR

5%

Revenue

growth

 

Dynamic Product Messages

Dynamic Product Messages (DPMs) automatically calculate users' product shopping footprints through the MAAC dashboard, including interactive processes such as browsing, adding items to the shopping cart, and completed purchases. Use big data and machine learning to predict products that your individual users are most likely to buy or most interested in; customize push notifications for your e-commerce products.

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Successful Case

Gomaji

It's eye-catching and easy-to-buy! The largest entertainment platform Gomaji uses DPM to automize product recommendation. By giving only what users need, targeted marketing greatly increased its LINE channel's revenue.

60%​

Increase in

CTR

100%

Revenue

Growth

Optimized

Content

 

Automated Loyalty Ratings

User Activity Grouping

The system categorizes users into five levels, according to depth of interaction; highest is 5, lowest is 1. This helps your brand easily select your target audience according to your promotion goals.

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Successful Case

Snow Fungus Beverage: 8more

8more is a well-known health beverage brand. By optimizing broadcast for the 5th level (loyal users), 4th level (high purchase rate), and 3rd level (with upgrading potential), it continues to trigger consumption and saves a huge amount of message fee.

One-Click
Targeting
​Identify 
VIPs
AI Analysis

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