Repro App
Use cases for Silver Egg Reccomendation Messages
Use cases
Using Silver Egg Recommendation Messages, you can send recommendation information to users with in-app messages. Here are some use cases for the purpose and content of the policy.
Case: Increasing the Number of Product Purchases
Recommendation type
Deliver related or similar products based on the products the user is viewing.
Campaign details
Challenge | Users left before they purchase |
Target Users | Users who view product page |
Purpose | Improve the purchase rate of users who viewed the product page |
Campaign | Delivering In-App messages to them with recommend information on the product detail page |
Increase the number of items purchased
Recommendation type
Analyze the user's behavioral history and deliver products that are purchased by users with similar behavior.
Campaign details
Challenge | Low number of avarage p[urchase amount of users |
Target Users | Users who purchased |
Purpose | Increase the number of items per purchase |
Campaign | Delivering In-App messages with recommended item information of which other users purchased on the screen after purchase |
Use case of real estate app : Increase the number of reservation for inspection
Recommendation Type
It delivers related and similar properties based on the properties the user is viewing.
Campaign details
Challenge | Users left without making a reservation for inspection property |
Target Users | Users who is looking at the page of details on properties |
Purpose | Improve the ratio of reservation from users who look at the product page of properties |
Campaigns | Dedliverig In-App messages with recommendation on the product page |
Use case of dating app: Improve conversion rate
Reccomendation type
Analyze preferences based on the user's behavioral history and recommend users that they might like.
Campaign details
Challenge | Low number of execution of “matching” from male users |
Target Users | Male users |
Purpose | improve the ratio of LIKE |
Campaigns | Introduce female users who are likely to be attracted to you in the search engine |