7. Customer Stickiness Factor
Posted: Sun Dec 22, 2024 4:50 am
The predictive model forecasts the user behavior (existing and new c russia contact number whatsapp ustomers) using regression or machine learning.
The historical model uses past data.
Bear in mind that most customer journeys are not identical, nor are their lifetime values. It helps to establish an average baseline and track future trends against it.
How to measure engagement
Customer Stickiness Level
Stickiness determines the tendency to gain repeat business. The more customers are “sticking” to your app, the better.
Based on this metric – whether it’s high or low – you can understand the app’s perceived value. If you analyze it in combination with other metrics, you can see what contributes to stickiness – the app quality, convenience, customer experience, or something else.
8. Visit Frequency & Return Frequency
Visit Frequency
Visit frequency determines the number of visits over a certain period. Because it only focuses on unique users, the data doesn’t tell you much about different users.
You can use another metric for this – return frequency. It helps to assess the number of new app users and the familiarity level of all returning people. For example, you can see how many of the monthly active users are highly familiar with the app (those who visited the app more than ten times) versus how many are relatively new.
9. Session Length
App engagement metrics: Session Length
Session length measures how much time a user spends on your application in a single session. If a user exits the app and comes back later, it will be counted as a start of a new session.
Longer session duration typically means higher engagement. Average session duration varies between different business categories. For example, a food delivery app should have short sessions, even though it means users will be less engaged in the app.
The historical model uses past data.
Bear in mind that most customer journeys are not identical, nor are their lifetime values. It helps to establish an average baseline and track future trends against it.
How to measure engagement
Customer Stickiness Level
Stickiness determines the tendency to gain repeat business. The more customers are “sticking” to your app, the better.
Based on this metric – whether it’s high or low – you can understand the app’s perceived value. If you analyze it in combination with other metrics, you can see what contributes to stickiness – the app quality, convenience, customer experience, or something else.
8. Visit Frequency & Return Frequency
Visit Frequency
Visit frequency determines the number of visits over a certain period. Because it only focuses on unique users, the data doesn’t tell you much about different users.
You can use another metric for this – return frequency. It helps to assess the number of new app users and the familiarity level of all returning people. For example, you can see how many of the monthly active users are highly familiar with the app (those who visited the app more than ten times) versus how many are relatively new.
9. Session Length
App engagement metrics: Session Length
Session length measures how much time a user spends on your application in a single session. If a user exits the app and comes back later, it will be counted as a start of a new session.
Longer session duration typically means higher engagement. Average session duration varies between different business categories. For example, a food delivery app should have short sessions, even though it means users will be less engaged in the app.