Artificial intelligence helps marketers more easily personalize user experiences in unprecedented ways, boosting consumer interaction and retention. It can help you design active recommendation lists, product belgium whatsapp number data 5 million promotion messages, or special services based on consumers' interests, push content that consumers may be interested in through the application to generate interaction, and further achieve performance indicators such as increasing conversion rates. . There are three major levels of applying artificial intelligence to personalized messages:
1. Audience segmentation
Effective personalization design starts with correct user classification. AI tools can help you carefully classify the masses, allowing you to:
Analyze in-app user behavior, historical consumption records, and push message responses and other data.
Understand the preferences and areas of interest of individual users
detection mode
Predict future behavior
'2. Message relevance
Using artificial intelligence can also help you confirm the relevance of push message content. AI tools can help analyze large amounts of user preference and interest data, and use this data to recommend content that consumers are most likely to interact with. For example: 75% of Netflix users order programs through recommendation notifications, and 35% of the revenue on Amazon’s e-commerce platform comes from items on the recommended list.
