Es tut uns leid, aber diese Seite wurde leider noch nicht übersetzt. Doch keine Sorge, das Emarsys Lokalisierungsteam arbeitet eifrig daran, unsere gesamte Dokumentation in Ihrer Sprache bereitzustellen.
How do we calculate the numbers on the dashboard?
The first step is to define when is a purchase attributed to an Incentive Recommendation campaign.
The method we use is similar to to what Predict uses. First we examine whether there were any clicks within a 7-day period before the purchase. If not, then the purchase is not attributed to any campaign. If there were clicks, the closest one to the purchase is considered and it is attributed to that campaign. After all attributing has been done, we select the ones that used Incentive Recommendation.
The widgets and the data within
In the Campaign revenue widget, the following data is displayed:
All revenue: this is the sum of all purchases attributed to the incentive campaign launched on a given day.
Smart incentive revenue: if measurement is turned on, this is the sum of all revenue coming from contacts who received incentives distributed by the algorithm. If measurement is off, this is the same number as All revenue. For more information on measuring Incentive Recommendation campaigns, see Measuring the effectiveness of smart incentives.
Control group revenue: if measurement is turned on, this is the sum of all revenue from contacts receiving the benchmark (control group) incentive set by the customer.
Messages sent: the sum of all messages sent.
In the Estimated Saving on Incentives widget the following data is displayed:
Savings: we calculate this at contact level. When a purchase occurs, we compare the incentive the contact received to the greatest incentive possible in that campaign and the difference between the contact's spending and the possible spending is the amount of saving.
Here is an example: You have a product that costs 100 Euros. You create a campaign, where you have two incentives, a 20% discount and a 30% discount. During the campaign, 22 customers who have received the 20% incentive make a purchase of the product (for 80 Euros). Now the assumption is that these people would also made a purchase if they received the 30% incentive (for 70 Euros), so the savings achieved with these customers account for 22*10 = 220 Euros.
All savings for a given day are summed up and displayed.
Messages sent: the number of all messages sent.
In the Lifecycle Overview widget the following data is displayed:
Here we summarize all purchases of customers, based on their current lifecycle. For more information, see Customer Lifecycle Report.
Please note that the numbers above are calculated based on what we know about the customer at the moment of the purchase. In some rare cases it is possible that some purchase data are uploaded and taken into consideration after we determine these numbers, which may cause some distortion in this data.
In the Engagement widget the following data is displayed:
Message deliveries: this number reflects all messages delivered to contacts' inboxes.
Opens: This is the number of all message opens.
Clicks: This is the number of all clicks in the messages.
Purchases: This is the number of all purchases attributed to the clicks.