How To Implement Embedded Analytics Into App Development?

You want a new bed in your bedroom, you will decide the size, need, and then make the purchase. The user tends to check the need, usefulness, and size even before installing a mobile app. How will you know that the users will buy your app? How will you know what kind of app they like? How will you know what is the right size for your app? Well, the answer to all your questions lies in the research and data analysis. This is what brings us to embedded analytics.

This is a concept which has worked successfully for several mobile app development companies and it will work for you as well. You just need to know and understand the entire concept and how it works.

What Is Embedded Analytics?

It is basically an implementation of the analytical approach to the business process apps. Embedded analytics provide the required information and tools specifically designed for the task of avails the users with the utmost efficiency in the app they use in their routine. There are several other reasons and benefits you can avail from embedded analytics that can help you improve your business and hype your revenue from the mobile apps.

Benefits of Embedded Analytics To The Customers

Customers use the mobile apps to make their lives better, take easy and smart decisions and get a better insight into the decisions they make. When the customer gets accurate details and valuable information, they are never going to leave your app.

1) Business Apps

The users don’t need to make multiple clicks for getting the desired information and making spontaneous decisions with the integration of the dashboard which receives the information from the ERP and CRM systems. By offering the customers with business intelligence and statistical analysis, they are powered to make profitable business decisions.

2) B2B Market

You can consider a task handling app which will help you figure out the time spent in the workplace. With an embedded analytics app, the employer can prepare a plan to make the work productive by allotting the work and the time in which that work is to be done. Cutting time on unnecessary task and diverting those into the useful ones can make the business of the employer highly profitable.

3) Consumer Market

A fitness app will suggest the count of steps you have walked, amount of calories you have burned, and also the heart rate. This statistics will hold the user to the same app and won’t allow them to shift to others. When the user is getting everything they want, why would they faff around for other apps?

Benefits of Embedded Analytics To Business

1) Better Output Of Invested Time

When you get accurate data of how your users are reacting with your app, which is that screen that gets their most attention, and which is that screen where most of the users abandon the app, the business can take actions to preserve the users. They can make necessary improvements using the data and make their app not just better but the best.

2) Highly Secure

If you want to eliminate the risk factor, data-driven business strategies and decisions are the best. The crucial business data can be fetched by integrating embedded analytics and big business plans are created based on it. Taking any decision haphazardly is risky but when data is involved, you do take the risk but the calculated one.

3) Data Based Work Culture

If there is one thing that employers expect from their employees is that they become competent enough to calculate scenarios on their own and instead of taking orders from superiors, they can make their own decisions. The business will reach newer heights instead of one person all the persons of the business make their calculations and work accordingly.

4) Business Planning

With embedded analytics, the business can watch the strength and weakness and plan the future journey accordingly. SWOT analysis can make any business stronger. Also, it gives a competitive advantage.

How can you generate revenue from embedded analytics?

1) Track the user journey

The basic step for generating revenue from embedded analytics is to first integrate it into the mobile app. Also, make sure that the workflow should consist of the dashboard and reports and it should not be in some of the separate tabs. Also, they should be following the branding guidelines which the rest of the app must be in accordance with.

2) Eliminate multiple security points

There are several embedded analytics apps which ask for different login credentials when the user intends to make use of the coveted analytics part. Make sure to allow one-time sign-in option and get access to multiple features at once. This will make the process a lot easier for the users along with relieving the developers from integrating security multiple times.

3) App workflow should have actionable things

The integrated embedded analytics should not just have the view option but should have some call to action. Most of the apps allow the users to view the data but it doesn’t allow the users to share it with their friends or colleagues.

This will make your app different from others and compel the users to transform from a regular user to paid customer.