Undoubtedly, adoption is the eventual test of any application or feature in it. If users decide that the feature is worth trying because it is helpful in solving their problem, then they will quickly stick to it. Therefore, features that are readily adopted by the users lead to low acquisition costs, higher retention rate, and greater customer life for lifetime. All these are imperative for future growth and profit. With the right feature adoption software, you can capitalize on your new feature, so that your users’ goals are satisfied and your long-term success is ensured. However, measuring is necessary to manage adoption success, and here are the steps to follow:
Select a goal:
First of all, you must decide what feature adoption means to you. For instance, the goal of a news application would be to achieve a maximum number of accounts and subscriptions, but for a dating app, the goal would be to gain the maximum number of matches and messages. Depending on that goal, identify the points that need to be changed in your application and work towards meeting your goal. Pinpoint the reasons why your users are not adopting your new feature, and find out what you can do about it.
Identify the metrics:
The basic aim is to identify the metrics that prove your feature adoption success. Such metrics include the number of visits, amount of account creation, first payments, subscriptions, etc. Use user analytics to track these metrics. Most applications are not designed to report themselves or to correlate events to the individual users automatically. With the help of user analytics, such metrics can be revealed and you will be able to understand a user’s journey from start till end. With these analytics, you may track the user journeys, funnels and, cohorts, and accordingly develop your tracking plan.
You need to precisely define the events that can take you to the metrics you want to monitor. A robust tracking plan includes a tracking tool, the events to be tracked, the frequency of events to be tracked, and an implementation timeline. If there are any limitations in the user analytics tool, then it is significant to identify them early and resolve.
Bring about the required changes:
Before making any changes, measure the baseline metrics of your application, so that you can later calculate the effects of your user adoption strategy. When ready, you may deploy the changes in your product feature to increase its adoption rate. Test one change at a time and see which one brought the greatest impact. Making several changes at once may bring positive results, but you may not be able to identify which change was the most successful.
Measure once again:
Once you bring about the needed changes, you need to check whether the adoption rate improved or not, and whether the users are now using the feature longer or not. The feature adoption strategy you implemented should make your users more engaged and achieve your goals more quickly. So, measure your metrics once again. If no improvement is noticed, keep testing until you achieve your goals.
With a high-end feature adoption software, like the one offered by Apxor.com, you can maximize the user adoption rate of your feature and application, and achieve your goals in a much faster and easier way.
