Video Promotion Timing Based on User Selection Probability
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Solution Overview
Problem
Services struggle to effectively time the presentation of notifications to users, as presenting too many or presenting them at inappropriate times can lead to user dissatisfaction and reduced service usage.
Innovation Solution
A method that involves presenting a promotion for a video sharing service to a user at a determined time point based on the probability of the user selecting the promotion, with the option to delay the presentation to a later time if the initial probability is low.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If promotions are frequently presented to users, then service notification coverage is improved, but user satisfaction deteriorates
Solution Approach 1:
The system dynamically changes the parameter of notification frequency based on user engagement metrics and context. By adjusting when and how often promotions are presented according to user behavior patterns, the system maintains notification coverage while preventing user dissatisfaction from excessive notifications
Solution Approach 2:
The system performs preliminary analysis of user engagement probability before presenting promotions. By predicting the likelihood of user engagement and pre-determining optimal timing, the system ensures notifications are presented at moments when users are most receptive, avoiding unnecessary notifications that would cause dissatisfaction
2Productivity
If promotions are presented at multiple time points, then engagement opportunities are improved, but user experience deteriorates
Solution Approach 1:
The system changes the temporal parameters of promotion presentation by selecting specific time points within a time window based on predicted engagement probability. This ensures multiple engagement opportunities are created while maintaining optimal user experience through strategically chosen timing
Solution Approach 2:
The system performs preliminary probability assessment for multiple potential time points and selects the optimal moment for promotion presentation. This advance analysis ensures that promotions are presented at times when users are most likely to engage, maximizing opportunities while preserving user experience
3Device complexity
If promotion timing is randomized, then presentation simplicity is improved, but engagement effectiveness deteriorates
Solution Approach 1:
The system changes from random timing parameters to probability-based timing parameters. By using engagement probability as the determining factor for presentation timing, the system maintains relative simplicity while dramatically improving engagement effectiveness through data-driven decision making
Data Source
AI summary
Methods, systems, and media for timing presentation of content are provided. In some embodiments, the method comprises: causing a first video content item to be presented on a user device of a user; wherein the video content item is provided by a video sharing service; identifying a promotion for the video sharing service that is to be presented to the user during a time window; determining a probability that the user will select the promotion if the promotion is presented at a first time point within the time window in connection with the first video content item; determining whether to present the promotion at the first time point based on at least on the probability; in response to determining that the promotion is to be presented at the first time point, causing the promotion to be presented on the user device at the first time point in connection with the first video content item; and, in response to determining that the promotion is not to be presented at the first time point, causing the promotion to be presented on the user device at a second time point in connection with a second video content item, wherein the second time point is within the time window and wherein the second time point is after the first time point.