6 Uses of Loyalty Program Data

If your business has a loyalty program, you are probably sitting on a gold mine of customer data. Are you using those data to gain insight into your customers and improve your marketing effectiveness? A survey of retailers in the Netherlands shows that gaining customer knowledge through loyalty program data is crucial to realizing the loyalty enhancement potential of such programs. So if you have not been leveraging your program data, it is important that you start right away. In this article, I will describe six sample uses of loyalty program data.

Use #1: Customer Lifetime Value Analysis

The beginning of loyalty programs is often to make the best customers feel appreciated. But who are these best customers? Loyalty program data can help you answer that question. Based on each customer’s transaction frequency and amount, it is possible to calculate the expected lifetime value for the customer. Refer to this article for how to calculate customer lifetime value. Once you are able to assign a lifetime value to each customer, you can design offers and campaigns to ensure that your best customers’ needs are satisfied.

Use #2: Customer Attrition Risk

Related to customer lifetime value analysis, your loyalty program can also tell you if some of your customers are at risk of leaving you. This knowledge gives you precious lead time to proactively address the problem and retain customers.There are different ways of identifying such risk levels. One popular approach to predicting customer churn (the BG/NBD model) uses simply the number of transactions a customer has made, when the last transaction happened, and how long the customer was observed. This model can be implemented as an EXCEL spreadsheet and through the BTYD package in R. Continue reading “6 Uses of Loyalty Program Data”

Customer Loyalty Dashboard in Google Analytics

How loyal are your customers? If you business is like most brands, your answer is probably going to be complex and constant in flux. To accurately gauge customer loyalty, you need data from a variety of sources such as customer transaction data, social media data, and customer survey data. But what If you don’t have such data readily available or if you don’t have the analytic capabilities to tackle such data? It is still possible to use common tools to form a crude picture of your customers’ loyalty levels. In this article, I would like to talk about creating a customer loyalty dashboard in Google Analytics.

This article assumes that your website already uses Google Analytics. If you use one of the other web analytics tools instead, the basic ideas should still carry, although the exact terminologies and metric definitions may be different. This recommended dashboard should be applicable to most businesses. But it is particularly relevant to businesses where visits to the website is an important part of how your existing customers interact with you. This may apply, for example, to an online store or an online content provider (e.g., a blog).

Google Analytics Dashboard Brief Overview

(Note: I am keeping this general introduction very brief as I assume that you are more or less familiar with Google Analytics already and may even use the dashboard function. If you are not, a great resource for learning more about Google Analytics is the Google Analytics Academy. If you want to learn about dashboards specifically, check out the “About dashboards” section in Google Analytics Help.)

Google Analytics dashboards allow you to assemble several widgets to create a quick overview of how your website is doing. Since multiple dashboards are possible, you can create individual dashboards around certain themes such as customer loyalty or business growth. To access Google Analytics dashboards, click “CUSTOMIZATION” then “Dashboards” in the left panel. (If you only see a list of icons instead of actual links on the left side of your Google Analytics screen, click on any of the icons will expand to the full menu.) Click the “CREATE” button to create a new dashboard. Select “Blank Canvas” and enter a name for the dashboard in the small window, and click “Create Dashboard”. This creates a blank canvas that you can add different widgets to. Continue reading “Customer Loyalty Dashboard in Google Analytics”

Leveraging Your Academic Community

Update note: Sorry I was made aware that the links in the article did not work properly. The problems have been fixed.

If you have been reading my blog for a while, I hope you have come to the conclusion that the type of research marketing academics do is more than just nerdy math or lab experiments. It can be highly relevant to marketing practice. In my career as a marketing professor, I have collaborated successfully with businesses large and small. Such collaborations have been highly gratifying for both the businesses and I. If your business has not been tapping into the marketing academic community around you, you may be missing a great opportunity for knowledge discovery and innovation. In this article, I would like to offer some advice on how to leverage the academic community around you.

Why Collaborate with the Academic Community?

There are many benefits to collaborating with the academic community. I will highlight some of the key benefits here:

  • Access to cutting-edge research methods and tools that you and your staff may not be well versed in. Examples include sophisticated data analytic models, complex experimental design, clever primary data collection methods, etc.;
  • Building reliable and generalizable knowledge based on validated theories rather than just a hunch;
  • Designing and conducting rigorous scientific tests to yield high-quality results that you can trust;
  • Gaining a fresh, non-conventional way of looking at your problem because of different academic vs. practitioner thinking styles;
  • Cost savings compared to hiring external consultants, as many academics’ primary motivation is to publish instead of monetary goals. The mantra in the academic community is Publish or Perish!

Continue reading “Leveraging Your Academic Community”