How to evaluate it correctly, and what time period to choose for this? Most often, the first, seventh and thirtieth day are used in calculations. When calculating, take into account which user scenario is executed when using your product, regardless of whether sales are made through a mobile application or through a website.
For example, when calculating RR for social networks, the priority metrics will be user engagement and the amount of time they spent in the application. This is due to the fact that the entire business that is built on the basis of social networks has its main source of income directly from advertisers.
Social Media Promotion
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Therefore, it is important for chinese singapore b2c cell phone number data its owners that the client visits the application as often as possible and views the content that interests him as much as possible. Here, the first, second and third days will be used to calculate RR.
Many marketers believe that for product scenarios like SaaS, it is not practical to use RR to analyze business performance. However, this is not entirely true.
RR calculation periods can be completely different: it is no coincidence that there are Retention based on both 24-hour windows and calendar days. This point is key when analyzing indicators specifically for high-frequency services that actively attract traffic, such as gaming platforms and websites.
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Time structuring
The classic method includes one, seven, thirty days and one year. It is used to track the survival of traffic, which must be taken into account when implementing any marketing concept for the purpose of updating content or design. These numbers should always be at hand.
To conduct RFM analysis, it is necessary to accurately calibrate the time periods that will be used to analyze the user scenarios of the company's product or service. RFM is a business analysis method that allows you to see the customers who have been in business relations with you longer than others and who bring in more profit than others.
By singling out this customer segment from all others, you will be able to conduct a more detailed analysis of them and correctly determine their user scenarios. That is, how often they purchase your product. You will also be able to control the transaction cycle itself, find growth areas and work on them.
For example, if you are the owner of a mobile application for online training, where you can buy a subscription for one month, six months or a year, after conducting an RFM analysis you can see that the most profitable segment of customers builds their actions according to two user scenarios.
First, the client logs into the app three times a week, studies workouts for the gym, and almost always has an annual membership.
Second, users open the app twice a week and choose mostly home workouts, with a monthly or six-month subscription.
Now that you have the big picture in front of you, you can figure out how to help your customers use your product to move them into the best of the best category.