How to Measure the Effectiveness of a Mobile Application?

Analytics is an important aspect of any promotion campaign regardless of what you advertise: a home-made bread or a mobile app. CryptoAuxiliary has taken into account the most important metrics you need while establishing and upgrading your marketing plan.


Mobile apps enable the user to know how the interface interacts, to assess the efficiency of the advertising medium and to work on dispatch to improve existing methods if necessary. For your mobile apps, we have collected the most relevant KPIs.


1. Gain of audience


There are three important elements in the group that illustrate how an app audience increases.


Downloads. The index summarises the number of app downloads over a certain time period;


New users. New users. This indicator reflects the number of new users within a day or time period. Since "users" can only call those who open an app at least once;


Total users. Total users. A retrenching index. This indicates the number of new users over a period of time.


These indices have no significance for analysis in isolation from each other, but they are vital for calculating other KPI measures.


2. Retention of users


Let's be honest, it's a typical circumstance when a new user instals, tries and... The ways things unfold there are two variants: a user likes your software or a user dislikes it. If you don't like it, an app might be forgotten or simply deleted. That is why it makes no sense to estimate "total users" for your audience. The true estimate and computation require the following metrics to be considered:


Retention rate. Retention rate. The percentage of people opening an app the X day following installation. The calculation is normally for the first day, a week and a month.


The indexes of this measure, generated for different times, will assist you to focus your attention in various stages of user experience on your project's vulnerabilities.


1st day retention: in general, the cause for "ignoring" the app is interface difficulties. For example, a user may not comprehend what to click. Try to alter your interface such that the rated value is retained. If you accomplish this right, there will be no lengthy beneficial results.


7th-day retention: if the rate is significantly lower than the permitted rate for your app category, assess your product's use scenario.


Retaining for the 28th day. When customers return to your app in a month, they are satisfied. However, if the rate is lower than average, there is a strategic disadvantage.


But note, the allowed IOS and Android retention rates differ. For example, 1st-day IOS retention is 44% –10%, whereas Android retention is 41% –15%.


Churn Rate. This measure represents the user loss percentage. In this scenario, churn does not mean that the users have installed the app, it means that they no longer open it. This is how you can calculate it: Rate of Churn=1 -Conservation rate


Rate for uninstallation. And indeed, this metric displays how quickly a programme is uninstalled. You can count it by separating the uninstallation number for a particular length of time by the number of installation.


3. Activity of the user


We are now moving on to the activity and involvement of users.


DAU/WAU/MAU. No, this isn't a mantra. It shows how many unique people have opened your app reasonably quickly within one day, week and month.


Sticky factor. Sticky factor. It is a so-called commitment rate. It helps you to estimate the application input frequency. Simply split the DAU by MAU or WAU.


Sessions are a total number of running applications within a specific period of time.


Average length of session. An overall period of all sessions divided by their number over a specific period of time. If you aim to generate money out advertising, it is an extremely significant index.


Lifetime. This metric defines how many days an individual utilises an application. You have to take his/her first and last day of entrance into consideration.


4. Index of monetization


This metrics group is directly linked to your income. Analyzing these data allows consumers to estimate how often and how much they pay. So you can observe how efficient your monetization tactics are.


Paying users — the number of unique paying users within a certain period.


Paying share – the percentage of a single payment for a total number of users.


Conversion payment — the same thing but for new users.


Transactions — total number of payments over a specified period.


User Transactions — TBU = User Transactions/Payment.


Gross — total in a particular period of time for all user payments.


Revenue—a sum of all customer payments within a specific period less retail charges


ARPU. Average user income = Income/Users. Remember, we mean a total number of users, new users and Churn rates while talking about users.


ARPDAU. Average daily income per active user = income / DAU


ARPPU. Average user income = income / paying users.


Average check. Average check. AC = Income/Transactions. This is an average amount of a payment.


Value for Lifetime. LTV Unit values for a single user over a lifetime. It is one of the most essential measures for the profitability and efficiency of advertising investment. There are many methods of calculation, we present the most frequent one: LTV=ARPU*Lifetime.



5. Efficiency of advertising


CPI. Install cost=Download and advertising costs. CPI. The quantity of downloads frequently doesn't match the number of new users.


eCPI. A similar metric is taken into consideration but the virality.


K-factor. The virality index. Users share information on an app through different means: social media links, invitation from friends, etc. Therefore, K-factor=number of recommendations*% of people converted to users.


CAC. Acquisition of customers The cost is a metric of the costs for an attraction (here paying user counts). Thus, advertising/payment costs to users.


For the final.


No detail is too small in analyses, remember. Don't forget that what really matters in analysis is not metrics themselves, but their correct interpretation.


Keep track of your audience's interest and improve your application constantly. Only in this way can you reach an autonomous level and stop depending on your investment. NinjaPromo wishes you all the best!


0 views0 comments