Why increase browsing rates on EC sites?
Posted: Wed Feb 19, 2025 8:57 am
When you watch a video on YouTube, related videos are displayed on the right side of the screen,
and as soon as you finish watching a video, more related videos are displayed.
The purpose of starting with one video and displaying related videos multiple times in this way is to increase the "visit rate."
Watch a specific video
↓
Watch related videos
↓
Stay longer on one site
↓
Increased exposure to users' ads
↓
Increased click-through rate
↓
Click on the ad
↓
Google's revenue increases as advertising fees
That's how it works.
Amazon also uses a different algorithm for taiwan mobile phone numbers database suggesting related products, but they do it in a different way to increase browsing rates.
View a specific product
↓
View related products
↓
Product exposure to users increases
↓
Purchase price increases due to impulse buying
↓
Purchase
↓
Related products are suggested even after purchase
That's how it is.
When buying a product, these recommendations are useful as a search function to stimulate purchases and reach the desired product, but if you are running an e-commerce site, you have to provide a similar experience to users. At least Amazon and YouTube are taking these measures because the results are positive.
In the case of independent company websites, even if such recommendation functions are available, there are probably a surprising number of people who do not use them or who did not even know they existed.
In the case of Live Commerce, the following three methods can be used to design measures to increase the browsing rate for a single product from a different angle.
and as soon as you finish watching a video, more related videos are displayed.
The purpose of starting with one video and displaying related videos multiple times in this way is to increase the "visit rate."
Watch a specific video
↓
Watch related videos
↓
Stay longer on one site
↓
Increased exposure to users' ads
↓
Increased click-through rate
↓
Click on the ad
↓
Google's revenue increases as advertising fees
That's how it works.
Amazon also uses a different algorithm for taiwan mobile phone numbers database suggesting related products, but they do it in a different way to increase browsing rates.
View a specific product
↓
View related products
↓
Product exposure to users increases
↓
Purchase price increases due to impulse buying
↓
Purchase
↓
Related products are suggested even after purchase
That's how it is.
When buying a product, these recommendations are useful as a search function to stimulate purchases and reach the desired product, but if you are running an e-commerce site, you have to provide a similar experience to users. At least Amazon and YouTube are taking these measures because the results are positive.
In the case of independent company websites, even if such recommendation functions are available, there are probably a surprising number of people who do not use them or who did not even know they existed.
In the case of Live Commerce, the following three methods can be used to design measures to increase the browsing rate for a single product from a different angle.