Post by account_disabled on Jan 23, 2024 5:30:00 GMT -5
The person registers. Ask for an offer like using a shopping cart in a web shop. He accepts the offer and travels. Will be a returning user. These are the main steps and levels. Here we measure the numbers for each part. Schematically, this is how the levels look in relation to each other. Driver pager startup metric . After that, activation is measured by registration and request for a quote. The acceptance of the offer and the trip already means monetization, while rentention, . customer retention, is equated with the trip again. How have your numbers been in the past period? we introduced registration in September, so we have had quality data since then.
They look like this: app downloads registrations Industry Email List tenderers unique customers recurring If we approach it from the topline side, then of app downloaders register, request an offer and become unique customers, while are repeat customers. Driver pager: topline user number estimate However, if we only compare to the section one layer above, we see that of registrants ask for an offer, of them accept it, and of those who have already traveled with us once traveled again. that is, he became a returning user.
Driver pager: bottomline user number estimate However, when analyzing such data, it is always worth knowing exactly what they mean and where distortions can occur. These data reflect the rd week of June , right? So if someone ordered for the first time a week ago, it's not certain that they won't will return, they just haven't had the chance to order more than once. Since we are on a rapidly rising curve, recent customers are overrepresented. In other words, we will also examine in the future the number of returning and retaining users in a given period.
They look like this: app downloads registrations Industry Email List tenderers unique customers recurring If we approach it from the topline side, then of app downloaders register, request an offer and become unique customers, while are repeat customers. Driver pager: topline user number estimate However, if we only compare to the section one layer above, we see that of registrants ask for an offer, of them accept it, and of those who have already traveled with us once traveled again. that is, he became a returning user.
Driver pager: bottomline user number estimate However, when analyzing such data, it is always worth knowing exactly what they mean and where distortions can occur. These data reflect the rd week of June , right? So if someone ordered for the first time a week ago, it's not certain that they won't will return, they just haven't had the chance to order more than once. Since we are on a rapidly rising curve, recent customers are overrepresented. In other words, we will also examine in the future the number of returning and retaining users in a given period.