Predictive App Marketing is something that lets you take full advantage of your collected users’ data, your app’s data and your various app marketing channels. It mixes all your data and efforts and put them in front of right audience at right time. Let’s dive more deep with this. What is Predictive App Marketing?
Five years ago, it was just confusing to have lots of app data in hand and what to do with it? With the invention of mobile app marketing, the problem starts solving out. App marketing taught us how to use data to grab audience from corners of the world. But that was not enough; some data was thrown in the trash bin because there was no use of it or we can say that we didn’t have resources to use that data in a right manner. Predictive app marketing put all your app data with your app marketing channels to predict customer behaviour and drive engagement by providing personalized experience. These personalized experiences are for users as well as it is for the stage where users stay. For e.g. if users come to your app again and again but not downloading it for any reason, predictive app marketing recognize that users are a step away from app downloading. This marketing applies efforts to encourage users for download. By this way, it makes users reach to the end and continue for a long with the app. Key Benefits of Predictive App Marketing 1. Identifying Your Ideal Customers Predictive app marketing separates regular customers from irregular one. It connects attribution to customers’ lifetime value (LTV) via your advertising networks which helps you determine your ideal customers. With this, you can double down your efforts for the particular regular customers’ group. 2. Optimizing Your Ad Campaigns for Long Term Results Once you know about your best customers, you can stop wasting time on one-time customers and multiply your efforts for loyal customers. Doing this will strengthen your ad campaigns for long term results. 3. Forecasting When and How to Build a Better Customer Relationship Predictive app marketing puts products or contents as per the users’ terms. It means what users like to buy or read, predictive app marketing give them the same. Following this strategy, it inspires users, increases conversations and encourages them to buy. 4. Predict and Engage with Risky Customers Risky customers are one-time customers who never return within 7 days of their first visit. Predictive app marketing identifies such customers and puts in efforts that persuade them to come back before they forget about the app. Why Predictive App Marketing is a Next Frontier? Today, consumers have mobile devices and apps to solve their lots of issues, but they are seeking for a technology that can read their minds. Tomorrow, portable devices and apps will turn into a crucial part of daily life. Not only smartphones, but wearable devices, connected home appliances, driverless cars, and a lot would be there. Data of all such things will be complicated to manage without predictive app marketing. That’s why this marketing will be a primary need of app marketers in future.
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In recent days, we heard many updates from Facebook. The company has made many changes for users, app developers and app marketers. The social networking giant is still working on making more improvements. But for now, we have some good news for app marketers. In its F8 conference, the company announced a new tool for app analysis named “analytics for app”. Here is the detailed view of what this new tool can do for you:
1. Cross Device: Users are bounded by multiple devices with different platforms. All of your searches are taking place from different OS system. For a target market, you need to know the details of devices and platforms. Facebook Analytics for Apps help app marketers to understand the devices and platforms from where the traffic is actually taking place. Device and platform analysis will tell you the necessary steps to improve your app performance. 2. Segments: Sometimes with some apps, knowing the age, gender and other characteristics of users is important to inquire for better targeting. Segments section within analytics tools will dig a depth of users’ characteristics to let you know about which types of users are more interested in your app and what you must do to keep them engaging. 3. Cohorts: You must know which actions are applied the most and which are applied the less, so you can replace the less applied actions with some inspiring actions to improve your app. Cohorts is for action analysis. It will tell you about the people or a group performing a specific set of actions. 4. Funnels: Funnels explain you the flow of users. For e.g. first of all user will land to the product, then its description, then purchase page and finally payment page. You know well that not all users reach to payment page. Some of them got stuck to description, purchase page or payment page. May be the reasons would be some minor bugs or some other issues which you need to find out and you will find out with Funnels. 5. Improve Your Advertising: This tool will firstly figure out how you are running your mobile ad campaigns and secondly, it will give you working ideas to improve it more. It will tell the future conditions of ads and the ads you need to apply keep up with your users. Moreover, it helps you measure the lifetime value of your Facebook ads and what strategies you must apply to re-engage your existing users and attract new users again and again. What more you need to become an app marketing expert? Facebook has already done a lot for you with its analytics tool and now it is up to you how you can take maximum advantage of this new tool. Facebook Analytics for Apps is accessible here, if you want to try it out or want to use it now. |
AuthorAppN2O as a prominent app marketing service provider agency is thoroughly dedicated towards serving the finest app marketing and monetization strategies for your app. Archives
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