Market basket analysis

Market basket analysis identifies customers purchasing habits. It provides insight into the combination of products within a customers 'basket'.

The term 'basket' normally applies to a single order. However, the analysis can be applied to other variations. We often compare all orders associated with a single customer.

Ultimately, the purchasing insights provide the potential to create cross sell propositions:

  • Which product combinations are bought
  • When they are purchased; and in
  • What sequence

Developing this understanding enables businesses to promote their most profitable products. It can also encourage customers to buy items that might have otherwise been overlooked or missed.

Market basket analysis delivers the "Amazon effect" to your business. When you place an order on Amazon, a list of potentially interesting products (based on a profile of what other "similar" customers have ordered) is presented. They are seeking to encourage purchase of additional items and thereby increase average basket value.

The following, often quoted, example illustrates the benefits of understanding purchasing habits.

Beer and nappies

The oft-quoted example of what can be achieved is the case of Wal-Mart, a huge US retail chain (owners of Asda in the UK). An observant store manager discovered a strong association for many customers between a brand of babies nappies (diapers) and a brand of beer.

Analysis of purchases revealed that they were made by men, on Friday evenings mainly between 6pm and 7pm.

After some serious thinking, the supermarket figured out the rationale:

  • Because packs of diapers are very large, the wife, who in most cases made the household purchases, left the diaper purchase to her husband
  • Being the end of the working week, the husband and father also wanted to get some beer in for the weekend
Beer and Nappies ~ classic example of data mining

What did the supermarket do with this knowledge?

  • They put the premium beer display next to the diapers
  • The result was that the fathers buying diapers and who also usually bought beer now bought the premium beer (the up-sell) as it was so conveniently placed next to the diapers
  • Significantly, the men that did not buy beer before began to purchase it because it was so visible and handy - just next to the nappies (the cross-sell)
  • Beer sales skyrocketed

Implementing market basket analysis

This type of analysis is certainly not the exclusive domain of the supermarkets.

Information required:

  • Customer identification e.g. loyalty card identifier and or name and address
  • Purchase transactions e.g. what was purchased, by who, when and the value
  • Product identification e.g. type or category of product

Unlike your sales system that shows which products customers purchased line-by-line, market basket analysis requires data to be reformatted, creating market basket records. To find out more about implementation please read David Willis' article 'How to implement Market Basket Analysis'.

Gaining value from Market Basket Analysis

Many of Information  Drivers clients are interested in what their customers have purchased and in what combination. They use this information to direct on-line and off-line propositions.

Would you like to understand your customer purchasing habits? Could market basket analysis be applied to your business and or website? A website implementation is an ideal candidate. Just like Amazon, you could use your website data to drive propositions, advert and product placement.

Would some guidance with implementing market basket analysis be useful? If that's a 'Yes', get in touch to arrange an informal discussion call David Willis directly on: 07956 650 404 or send him an email: david.willis@information-drivers.com.

Not ready yet? Perhaps you would you be interested in the results? Please view the results of our Business Opportunity Assessment.

Phone: 07956 650 404

contact@information-drivers.com

Visit David Willis' Data Blog

Hello and thank you for visiting Information Drivers, I'm David Willis and this is my consultancy.

I've been helping businesses improve their sales and marketing performance for over 20 years.

To find out how to improve your organisations performance read my Data Blog.

Client Feedback

"Our implementation was fully supported by Information Drivers – from initial scoping, implementation, and training, through to ‘go-live’ and beyond. Very good technical and marketing knowledge from our consultants has put us in a strong position to translate valuable data into business benefits." ~ Neil Jones, formerly Project Manager, The Consortium

Client Project

Insight Music is a on-line music retailer, part of the EMI Group. It creates music compilations for the European mail order market.

Insight Music planned for expansion of sales and direct marketing to support the retail market.

We integrated their European customer data into a single reliable marketing database. With data centralised, we delivered sales analysis and support for direct marketing.