This analysis is mainly used to evaluate an Xtra campaign. Has my campaign achieved the intended result?
This analysis is primarily aimed at analyzing Xtra promotions and is therefore only available to Xtra customers.
Before you start your analysis, it’s important to select two things:
Which period do you want to analyze? Up to 5 years of data is available. You can select the period you want to analyze via the reference month. The selected month is always the last period of your analysis. For example, if you select ‘Dec 2023’, you will get data up until the end of December.
What do you want to analyze? Here you choose which banner you want (Colruyt, Okay or Spar) and which category. It is not possible to select multiple banners, but you can choose multiple categories at the same time using the 'ctrl' key.
Finally, you will find a lot of information on specific topics in the reports on the page, such as: Is Collect&Go included in the figures? What does ‘a unit’ mean?
You can adjust the report in several ways:
Chart 1: Sales by Quantity
This chart shows the number of items a customer has purchased per promotional period. Has the customer bought one item or several at once? This chart gives you more insight into the purchase quantity per shopping trip, both during a promotional period and in a non-promotional period. This allows you to:
Chart 2: Sales by Quantity versus Number of Different SKUs
When you have selected different items, you can check in the next chart to what extent families combine different products during a purchase:
In this and the following charts, we always compare 2 periods with each other. We call one the test period and here you choose, for example, a period in which there was a promotion that you want to analyze, the other we call benchmark, and there we choose a period in which there was no promotion. This way you can see whether customers not only buy more during a promotion, but also whether they mix more items.
Chart 3: Sales by Quantity versus Customer Profile
The next chart shows whether there are differences between the profiles of customers, on the one hand based on the purchased quantity, but also between the promotion and the non-promotion period. The available profiles are the region where the family lives, the age or the household profile.
Chart 4: The Number of New Customers
Finally, you can also see per brand how many new customers you have attracted during the chosen periods. If the purpose of your promotion was to attract new customers, then you can check whether you have attracted more new customers than during a normal period. A new customer is someone who has not bought the product in the past 12 months.
Using the filters, you can:
All data used in the report can also be downloaded, via pdf, photo, PowerPoint, and Excel (crosstab). You do this via the button at the top right. The Excel option only allows you to export only one chart per download. You have to select from a list of tables which graph you want to download. If you don't know which one to select, you can first click on the chart and then go to download. The correct table is then selected for you, you just have to click on the download button.
Do you have filters that you often use or would you prefer a different selection as a start screen, then you can go to the bottom of the report and click on ‘view original’. There you can give your selection a name and save it. If you want to consult them next time, you can find them just below where you enter the name.
You have doubts about the definition of a KPI or a term used? By clicking on the question mark at the top right of the report, you conjure up a handy overview with information about the methodology, the KPIs, and the terms used in the report.
Sure, here is the translation in English: You can also use these graphs to adjust the quantity of your packaging. If almost all customers buy two or more items, a larger package might be interesting.