It is mainly based on the business situation of your company, and some are based on category email list the number of registrations) The data in the table is a serial indicator, and we judge the specific channel situation by calculating the conversion rate and the corresponding cost. My thoughts on channel effect analysis Judging from the data, the first order cost of channel E is 66% lower than the overall first order cost, and the total conversion rate is 64%. Therefore, channel E has the best delivery effect, followed by category email list channel D, which is the worst. is channel C.
Returning to our question above, the total sales target has category email list increased, but the investment has not increased, our solution is: add new investment channels and optimize the conversion rate of existing channels (increase the conversion rate of each node of the existing channels) conversion rate or adjust the delivery structure of existing channels). If you add a new delivery channel, you can find category email list it according to channel E or channel D (PS: find a new channel according to the existing channel with the best.
Adjust the existing channel delivery structure. My thoughts on category email list channel effect analysis From the above figure, we found that the proportion of channel E’s delivery is 9%, and the proportion of first orders is 27%. Can we increase the investment of channel E to increase the overall number of first orders (PS: It is not ruled out that channel E is a niche market) channel, increased investment category email list without increasing the number of first orders) Optimize the conversion rate of each channel node.