On The Analytics Menu:

1. How can I get to know my customers better?
2. Where are my customers buying from when they are not buying from me?
3. How do my customers differe from the buyers in the competitive category?
4. How can I mail my housefile less but keep my customers engaged?
5. How can I ensure my marketing budget is allocated correctly?
6. Are we leaving money on the table by re-activating & converting housefile names using just RFM?
7. When is a the best time to go prosecting?
8. How can I identify good customers in their lifecycle?
9. How can I ensure immediate improvements and make the analysis pay off?
10. What if I have a question that hasn't been listed?

You might know a lot about your customers RFM, but your customers’ behaviour can’t be fully understood looking only at RFM. Your customers might belong to different demographic groups, have different channel preferences, purchase at different times during the year and purchase from different merchandise categories outside your competitive category. Does that impact how they purchase from you and how you should talk to them? Of course it does.

That’s why it’s important to gather behavioural information about your customers and use it to understand as much as possible about them - and Abacus has a lot of valuable information to offer. With our Customer Profile Report we can help you to identify the key behavioural and demographic traits that define your current customers and to profile different segments of your housefile or buyers of your different brands.

Abacus can leverage transactional information from one of the largest data pools in the UK, with over 18 million households on the Alliance and more than 500 million transactions on file. Our data is updated weekly to guarantee that we are using the freshest information available and thanks to the Alliance members’ commitment to providing regular updates, we have more than 6 million 0-12 buyers on file.

If you have in-house analytics capabilities, you might also be interested in the Abacus Data Enhancement offering. Abacus can provide you with transaction-based variables to be appended to your company’s marketing database. These variables can be used for analysis purposes and to support your selection strategy. By hosting the variables directly on your database, you achieve maximum analysis flexibility and minimal campaign turn-around time.

As one of the largest data co-operatives in the UK, you asked the right people. In fact, not only can we tell you where they buy, we can also tell you how long ago they made their last purchase and how much they spent in each of our merchandise categories.

With our Merchandise Category Report we can show you how your customers spend is allocated among different merchandise categories and compare that to the trends of the entire Alliance so that you can clearly see where your customers are spending more/less compared to the average buyer on the file. This insight can be used to identify opportunities for list rentals, advertising or merchandise-mix expansion.

The Share of Wallet Report demonstrates how much each of your customers are spending in your merchandise category and what percentage of their spend goes to competitors. All this information is contained in our actionable Share of Wallet Report. This report comes with a customer-level segmentation that can be easily appended to your marketing database and used to support your selection strategy, helping you to turn insight into action.

Also, Abacus can help you to make the most out of the data available by appending customer level information to your database. Abacus Data Enhancement offering contains more than 400 transaction-based variables that you can tag to your database and use to support analysis efforts and your selection strategy. These variables will enable you to see in which merchandise category each of your customers is buying, so that you can launch product specific offers targeting only the customers that are active in that product category.

Good question. There are many things that can make your customers different (or similar) - seasonality in their purchasing behaviour, the allocation of their spend and their demographic profile for example. Fortunately you can.................................................................................(download the document to continue reading)