Artificial Intelligence in Swrve

Real-Time Relevance Optimized by Enterprise-Grade Machine Learning

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Increase Engagement and Reduce Churn with Autopilot

There are hundreds of decisions that go into deploying a successful campaign. Swrve makes it easier for teams to achieve success by removing the guesswork from key decisions around timing, engagement, and delivery. Autopilot: the machine learning system in Swrve delivers perfect relevance at optimal times of engagement.

Real-time Relevance

Swrve combines rich, real-time customer data with enterprise-grade triggering and targeting to help brands identify, interpret, and act on the needs of individual mobile customers as they occur in real time.

Relevant Everywhere

Swrve is built to support messaging across mobile, web, email, and popular OTT platforms (Apple TV, Android TV, Roku, Fire TV, WebOS, and Tizen), ensuring brands deliver relevant experiences wherever and whenever their customers choose to interact with them.

Rapid time to Relevance

Swrve integrates seamlessly with all major marketing and business platforms (including Oracle Marketing Cloud, Salesforce, Adobe, and more), maximizing the potential of existing data and better aligning Swrve to your brand’s specific business objectives.

Swrve was recognized as a Leader in the Magic Quadrant following Gartner’s independent evaluation of 15 digital mobile marketing platforms.
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Push Campaigns on Autopilot for Optimal Success

Your customers are mobile, always on and always moving. Swrve Autopilot understands them for you, tracks their behaviors across devices, and determines exactly what they’d be most interested in seeing from your brand. Putting your trust in this powerful system will increase your targeting accuracy, boost customer satisfaction (no more irrelevant push notifications), and put precious time back into your day.

Push Campaigns on Autopilot for Optimal Success


Swrve’s machine learning identifies the mathematical patterns in your customers’ behavioral data to determine the propensity of each and every customer to churn. This insight allows brands to easily deploy re-engagement strategies that reduce churn before their customers leave.


Use behavior histories and profile data from virtually any service or system to maximize the potential of that data and combine it with your mobile, web, and/or TV app SDK app data in Swrve. Gather and share first-party and third-party customer data across systems.


Autopilot uses machine learning to determine the exact timing that an individual customer is most likely to engage with a push from your brand. Simply click a button in a push campaign to tell Autopilot to schedule messages at the optimal time of day for each user.

Discover how Cox Communications used machine learning and A/B testing to add greater precision to targeting, resulting in a 220% increase in engagement.
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