HOW PREDICTIVE ANALYTICS HELPS MOBILE APP DEVELOPERS?

PREDICTIVE ANALYTICS HELPS MOBILE APP DEVELOPERS

The real question! Have you ever thought of applying predictive analytics to your mobile app development to engage with your customers?

How satisfying would it be if you could increase your profits by being decisive about the customers who are most likely to leave even before they uninstall the app? What if you could modify customer service to resolve concerns proactively before they become a point of departure?

Do you think this sort of forward-looking perception would allow you to make even more revenue from your app development?

With predictive analytics, mobile app developers can turn all these into a reality!

Foremost mobile app developers in and around the World faces a lot of mutual challenges. Today, mobile app developers are under extreme stress. Customer churn has become a key concern and app development companies are losing Customer Acquisition Cost (CAC) as well as the revenue for a year or more when a customer discontinues an app usage. Also, the lack of timely insight and delayed response time can translate into revenue nowhere to be found. To remain sustainable, app developers need to hold on to the businesses they have and find improved ways to upsurge their customer engagement.

how predictive analytics helps mobile app developers

CUSTOMER ENGAGEMENT

Be different than your customers with predictive analytics, by collecting and examining more information about your customers faster, app developers can create clever campaigns—leading to better customer engagement

By predicting behavioral patterns like behavioral outliers, patterns, and associated contexts of app usage, developers can reflect customer’s current behaviors and needs leading to better timing for customer engagement

CUSTOMER CHURN

With predictive analytics, faint signals such as peculiar behaviors and decreasing engagement can be easily patterned even before the customer churns. Once these customers are known early, the company can then take a myriad of steps to determine the customer’s decision to leave

Some companies presume that the only rational motive why customers are parting is because they don’t sense that their facilities offer a substance value. Predictive analytics can scrutinize the detailed attributes of your app that each unique customer is most likely to pay attention. With these discoveries, companies can then help the customer observe the true value of a particular service

As churn commonly occurs due to numerous experiences or in-activeness by a customer. With predictive analytics, companies can regulate the full sequence of action that businesses need to take to make it to the highest degree of customer retention

We live in a connected World. We live and breathe “connectedness” with our mobile devices. Learn your customers’ behavior and actions with predictive analytics and give your loyal customers an opportunity to marvel with your product. Predictive Analytics will support your endeavors as you kick up the speed. To be successful, chuck out the old ideas of conventionalism and embrace predictive analytics on the spur of the moment.

Don’t forget to let us know your thoughts on the topic in the comments section!

Kamaraj Mathiarasan SEO Expert in Chennai

Kamaraj began his career as SEO Analyst in 2015 when he had no hope in getting a job in software developing field. With a B.Tech degree in Computer Science from Pondicherry University, he believed that the online world is going to be the game-changer in the near future. With a passion towards internet and a love of experimenting new things, he began utilizing his technical skills and maintain a dominance in search engine optimization(Search Marketing) and social media to achieve optimal results on peanut budgets. As tipsbasket founder and a leading Digital Marketing(SEO) Expert in Chennai, Kamaraj spends his time advising clients on the latest trends in internet technology and digital marketing campaigns while always place an eye on clients ROI. Follow Kamaraj : www.facebook.com/kamarajkkl | www.linkedin.com/in/kamarajkkl | www.twitter.com/kamaraj_mathi

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