Post by account_disabled on Jan 23, 2024 10:30:00 GMT
It is not only the snapshot that is important, but between different cohorts. In addition, it is also worth knowing the customer habits in the background. There are users who use the service every week, while others, say, only once a year. Thus, it does not matter in what form we measure returnees. So that you ordered at least times in year after registration? So are we measuring annual, -day retention? Or days old? In addition, it is worth measuring when someone's last order was. - weeks ago? Or - months ago? This is called recency. There are services that the majority do not use regularly or on a weekly basis. We are like that too.
If, on the other hand, we see that someone has not used us for a long Industry Email List time, we can try to reactivate them. Recency is a good indicator of this. So it is worth logging not only the frequency, but also the date of the last order recency. Later, this can be a very good input for product development or the development of marketing activities. Think here of push notifications, reengagement campaigns, or coupon sales. What we cannot measure well for now is the referral, that is, the recommendation. Mainly what happens outside the app. What's the most watched metric? What is OMTM in your case? OMTM, the one metric that matters, or the metric that matters most, is the number of orders.
Because this is best connected to the operation of the service and then we receive a commission, and this keeps the system moving. A year ago, we had - shipments per month, and today we have reached that many orders on the peak day of the given week. The number of orders has evolved as follows in the months since the beginning: The evolution of Sofőrhívó order numbers It seems that the number of orders has increased by leaps and bounds since the beginning of the year. What is the reason for this? We reached critical mass and word of mouth started to work. We have now reached the growth stage Growth Stage, which was also mentioned in your previous startup growth articles. I can see where the project is now.
If, on the other hand, we see that someone has not used us for a long Industry Email List time, we can try to reactivate them. Recency is a good indicator of this. So it is worth logging not only the frequency, but also the date of the last order recency. Later, this can be a very good input for product development or the development of marketing activities. Think here of push notifications, reengagement campaigns, or coupon sales. What we cannot measure well for now is the referral, that is, the recommendation. Mainly what happens outside the app. What's the most watched metric? What is OMTM in your case? OMTM, the one metric that matters, or the metric that matters most, is the number of orders.
Because this is best connected to the operation of the service and then we receive a commission, and this keeps the system moving. A year ago, we had - shipments per month, and today we have reached that many orders on the peak day of the given week. The number of orders has evolved as follows in the months since the beginning: The evolution of Sofőrhívó order numbers It seems that the number of orders has increased by leaps and bounds since the beginning of the year. What is the reason for this? We reached critical mass and word of mouth started to work. We have now reached the growth stage Growth Stage, which was also mentioned in your previous startup growth articles. I can see where the project is now.