


Tapjoy from Unity launches 'Daily Rewards' point wall ads to enhance user stickiness and increase delivery ROAS
Recently, Tapjoy, Unity’s offer wall solution, has exclusively launched an advertising product - Daily Rewards, aiming to empower advertisers to further expand the customer acquisition scale of the offer wall and improve advertising effectiveness.
As a form of incentivized advertising, the offer wall can attract high-quality and loyal user groups and is favored by advertisers for its efficient return on advertising expenditure (ROAS). Become a key channel for acquiring users.
Tapjoy’s new daily rewards campaign rewards users for each individual task they complete, such as passing a level or winning a battle. As the game progresses, users will also receive more rewards, giving them more incentive to return every day.
The daily reward mechanism maintains the accuracy of the event-based optimization model, which can not only increase user participation and enhance player loyalty, but also create sustained long-term value for advertisers, especially suitable for short-term tasks. , users who want to get rewards quickly and frequently.
Its advantages also include:
●The short-term, fast and high-frequency reward characteristics satisfy the preferences of various game players and can effectively increase the conversion rate.
●By independently setting the number of rewards that players can receive every day, it further encourages players to return to the point wall every day and invest more time in the advertiser's game, thereby significantly increasing ROAS.
●Advertisers only need to set the maximum CPI value, and the points wall will evenly distribute rewards after users complete the last task in the funnel, making it easy to manage bidding.
Tapjoy daily rewards can also bring long-term value to application developers and publishers who monetize through point walls, converting player groups who are more interested in high-frequency rewards. Data shows that apps that used daily reward point wall ads during the testing phase saw an average increase in the conversion rate of independent daily active users on a certain task by 6%.
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