Create better product experiences with machine learning powered by Attractor and mParticle

Product managers rely on data to inform their vision for a better customer experience and improved product functionality. But running one-off queries is table stakes with the introduction of machine learning. Machine learning uses algorithms to make predictions and draw insights by recognizing common patterns. Best of all, as the program continues to ingest data and learn more about your customers the algorithms are trained to provide better predictions and deliver more accurate insights —  all without human interaction.

Attractor's intelligence platform helps product teams leverage machine learning to identify patterns in product activation funnels and retention loops—essentially where and why customers drop or churn from a product—so they can create better customer experiences and improve retention rates. The platform analyzes both behavioral and qualitative data to identify product improvement opportunities by specifically addressing drop-off indicators, customer dissatisfaction and churn.

mParticle’s latest integration allows product teams to quickly uncover actionable insights by connecting their internal and external data to Attractor's intelligence platform with a few clicks. Data is collected from sources like apps, internal data warehouses, analytics tools and more by mParticle, then streamed directly to Attractor, significantly reducing costs associated with gathering, organizing and securely sharing data with custom integrations.

For example, before launching a new feature, product managers can feed Attractor's platform with historic product usage data via mParticle and use it to predict how customers will react to the new feature.

Enabling this integration through the mParticle platform is fast, easy, and reliable. Begin using machine learning to enhance the customer experience and improve product functionality with Attractor and mParticle by getting started today!