Scenario 1: A customer has come all the way to the purchase page navigating through various other pages but is leaving without actually making any purchase. He knows all about the product, the app and is very keen but is somehow unable to make up his mind. Now we have the data, we know that activity and we may even be able to predict the user’s intention, but how can we help him to take that step, push him to make that informed choice of purchasing the product?
Scenario 2: It’s Level 10 of an addictive gaming app. Of the 25 users who opened the app on a specific day, only a single user finished the level but 24 users didn’t. Or vice-versa! So we can understand that this level is too difficult for regular people to complete in one attempt. Backed by this data, we can now think of putting in a tweak or a ‘Life’ option or give a tip on how to finish the level.
Strategy on data & trends: A daunting task
App publishers have always had trouble understanding what they should do to engage their current users, and retain them. They have been using various analytical tools like Flurry and Google analytics to trace their users’ behavior but strategizing on what should be done next with the data and trends available is a challenging task to them.
Publishers ponder upon what they can do to get regular feedback, get 5-star ratings, upsell/cross sell, etc. They constantly dig out modes and methods to nurture core community of its users,derive rich insights into product usage, enable stronger brand engagement which keeps their customer loyalty base intact.
Of delays and time lags
App publishers get to know a lot of details about the end-user’s online activities based on the events that get computed continuously in the background. So far, despite knowing this information, clients generate Analytics reports only periodically, see all the events and then decide what they want to do with that data. Thus, there’s a delay between the actual event and the response time.
Push an offer or a tip in real-time
Scenario 3: Now imagine a scenario where they can use the available data and push a discount offer to encourage their customers to purchase a product, or a tip that helps end-users complete a difficult level in a gaming app! And all this in real-time – well, almost immediately – while the end-user is still on the app, unable to make up his mind about the purchase or the level.
How is real-time customer engagement done?
The SDK integrates with the application, captures all the data and presents it on the dashboard of the app publisher, where he can access all the reports and accordingly segment the users besides performing actions like
Tutorials: Both On Launch tutorials that explain the purpose and the usage of app and also Featured tutorials that guide users to perform certain actions.
Ratings: Allows publisher to get a quick feedback. If user provides a 5-star rating, then it pushes it to the app store ensuring visibility, and if the rating is less, then it asks for a feedback.
Notes & FAQs: Helps in managing the content from a singular backend eliminating the need of updating again and again.
Micro Surveys: Enables to get both qualitative and quantitative data via opinion polls, which engage and retain customers by providing useful insights.
Offers: Accelerates revenue flow by offering relevant discounts and deals, and also context-specific offers in app promotions, Interstitial ads, etc.
Cross app promotions: Assists in deriving more mileage from existing user base by targeting existing users discover & download other apps.
Badges: Acknowledge and reward loyal users.
Notifications: Notify users about events and features that allures them.
Trivia: Engage users with contextual interactive games.
Why Brand Kinesis is the right solution?
What if we had one platform which not only helps app publishers to keep a check on the real-time data but also empowers them to take relevant actions.
Brand Kinesis is one such product which resolves the problem by increasing customer lifetime value through an immersive mobile engagement model. It is a platform which does all the above and more, which engages the users and retains them by gathering rich insights which assists in better product planning, leading to increased customer loyalty base.
This analytics platform not only helps tackle the time-lag issue better, but also helps identify trends, prospective customers/users and push a campaign almost immediately. And with this platform, publishers get to know their customers well and can offer special privileges only to those who’re really keen on their product(s) instead of to everyone/ all visitors.
Brand Kinesis will build the roadmap to success for app publishers. It encapsulates benefits from analyzing the performance of the app, and taking follow-up actions which accelerate the performance and enables the app to outshine.
So, we say, ACQUIRE>ENGAGE>MONETIZE>ANALYZE>RETAIN is the way to go as it is the future pipeline to success.