A method and device for adjusting the open rate of push messages
A technology of push message and open rate, applied in the computer field, can solve the problems of low open rate of push message, poor recommendation and marketing effect, failure to consider users, etc., and achieve the effect of increased open rate, good recommendation and marketing effect
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Embodiment 1
[0057] Assume that a day is divided into 5 time periods, namely 8:00, 10:00, 12:00, 14:00 and 18:00. Table 1 shows the number of pushes, times of opening and the opening rate of messages in these 5 time periods obtained from the data on the period opening rate of the day before the latest adjustment.
[0058] Table 1
[0059] Push times Opens time period open rate 8 o'clock 100 30 30 / 100 10 O'Clock 120 60 60 / 120 12 o'clock 100 40 40 / 100 14:00 180 100 100 / 180 18:00 100 50 50 / 100
[0060] If no adjustment has been made before this adjustment, the data in Table 1 is the data of the first day of gray scale. When adjusting the users corresponding to each time period according to predetermined rules, a reward coefficient a can be selected for adjusting the data.
[0061] It can be seen from Table 1 that the opening rate of the period at 14:00 is the highest, which is 100 / 180, so the number of push users in this period sho...
Embodiment 2
[0067] Assume that a day is divided into 5 time periods, namely 8:00, 10:00, 12:00, 14:00 and 18:00. Table 1 shows the number of pushes, times of opening and the opening rate of messages in these 5 time periods obtained from the data on the period opening rate of the day before the latest adjustment. From the latest adjusted period opening rate data, the push times, opening times and period opening rates of messages in these five periods are obtained as shown in Table 2.
[0068] When adjusting the users corresponding to each time period according to predetermined rules, a penalty coefficient b can be selected for adjusting the data.
[0069] It can be seen from Table 1 and Table 2 that after the latest adjustment, the opening rate of the 14 o'clock period has decreased, so the number of users in the 14 o'clock period should be reduced as a penalty. Assuming that the penalty coefficient b is 10, the number of users in the 14 o'clock period should be reduced by 198 / 10≈20. Sin...
Embodiment 3
[0071] Assume that a day is divided into 5 time periods, namely 8:00, 10:00, 12:00, 14:00 and 18:00. Table 1 shows the number of pushes, times of opening and the opening rate of messages in these 5 time periods obtained from the data on the period opening rate of the day before the latest adjustment. From the latest adjusted period opening rate data, the push times, opening times and period opening rates of messages in these five periods are obtained as shown in Table 2.
[0072] When adjusting users corresponding to each time period according to predetermined rules, a penalty coefficient b may be first selected for adjusting the data. Then distribute the number of rewarded users proportionally according to the number of pushes in the time period that should be rewarded.
[0073] It can be seen from Table 1 and Table 2 that after the latest adjustment, the opening rate of the 14 o'clock period has decreased, so the number of users in the 14 o'clock period should be reduced as...
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