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Posted 6th August 2015

New product Increases Engagement In Games

Mobile Engagement Company First to Unite the Power of Predictive Analytics and Mobile Messaging to Target Key Player Groups, Generating Impressive Results Including 11% Decrease in Churn, 18% Increase in Number of Sessions and 50% Increase in Revenue.

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New product Increases Engagement In Games
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Mobile Engagement Company First to Unite the Power of Predictive Analytics and Mobile Messaging to Target Key Player Groups, Generating Impressive Results Including 11% Decrease in Churn, 18% Increase in Number of Sessions and 50% Increase in Revenue.

The next evolution of mobile gaming is here with Swrve’s Predictive Marketing for Games. Available today, Swrve’s new Predictive Marketing for Games helps mobile gaming apps drive engagement and revenue by using predictive analytics, which builds out behavioural profiles and anticipates players’ action or inaction.

An initial campaign run by a mobile game publisher reduced churn by 11%, increased number of sessions by 18% and increased revenue by 50% for a targeted segment of players.

With Swrve’s Predictive Marketing for Games, marketers can target groups of players with messages that reduce churn, increase engagement and improve monetization. Use cases in mobile gaming apps include targeting players who are likely to churn with a re-engagement campaign, or nudging users who have been identified as likely to spend with a tempting offer.

“Predictive marketing has proven to be a highly effective tool for our mobile gaming customers, leading to higher rates of player engagement, retention and conversion,” said Swrve CEO Christopher S. Dean. “Predictive analytics are far superior to conventional analytics, which only look at people’s past behavior. With Swrve’s Predictive Marketing for Games, mobile gaming companies are able to interact with players at the exact moment it’s necessary to engage.”

Swrve is the first mobile marketing company to combine predictive analytics with messaging for mobile apps in its Predictive Marketing Suite, which employs a continuously updated behavioral algorithm that determines an app user’s propensity for action or inaction.

Categories: Finance, Innovation, Strategy


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