Guest Post: 10 Steps for Setting up a Loyalty Program

A few weeks ago, I wrote about the design fundamentals of a loyalty program, which had been inspired by discussion with one of my readers Kim Skaaning Jørgensen. After I published the post, Kim offered me a rather lengthy and thoughtful feedback on the topic. So I invited him to write a a little more about it. Today, I am happy to introduce to you Kim’s guest post discussing his 10-step strategy to setting up a loyalty program.

10 Steps for Setting up a Loyalty Program

By Kim Skaaning Jørgensen

Step 1: Evaluate the Product

The first step is always to answer the following questions honestly:
• Is my product good enough?
• Is my product worth the investment?

If the product does not sell because of a significant quality, distribution, design or price problem, then the customer loyalty program will not be able to salvage it. In that case, you can apply the framework from W. Chan Kim and Rennee Mauborgne’s book Blue Ocean Strategy: How to Create Uncontested Market Space and Make Competition Irrelevant to first improve your products and your company.

 
Step 2: Identify the Value Proposition

This part is one of the absolutely most important steps before implementing a Customer Loyalty Program. What to offer customers? What is the value proposition? If the value is not well received by customers, the program will not work at all. Therefore use extra time to develop your value proposition. Here are some general guidelines:
1. The value, reward, benefits have to be of “high value” in order to make the membership attractive. The benefits must meet the expectations of the target groups.
2. It is not enough to think that a benefit offered are of high value. The benefit must also have a high “perceived value”. If customers perceive it differently because it is not the benefit they desire, the program will not work.
3. Selection of benefits. Benefits can be “Hard” or “Soft” (See figure below).
4. Timing of benefits or rewards (i.e., instant or delayed reward) needs to be considered.

The right mixture of loyalty program benefits

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Looking for a YouTube API Programmer

I am looking for a programmer familiar with YouTube API to work with me on one of my research projects. The project’s intent is to find out what makes some branded messages (i.e., branded viral videos on YouTube) more popular than others. Thanks to a research grant provided by Empower MediaMarketing, I will be able to pay for the work. Below is a description of what I would like the program to be able to extract from YouTube. If you think you can do this job or if you know someone who can, please contact me. Thank you!

  • What I’m looking for: a program that will connect with YouTube data API to extract information related to a video and a user or a channel.
  • Programming language: YouTube supports JAVA, .NET, PHP, and Python. It doesn’t matter to me what language is used, as long as I can implement it on my end (or through remote access to a central server) to extract data.
  • Types of data to be collected:
  1. Basic initial user/channel information (collected twice, once at the beginning and once at the end, for each channel): Joining time, Location (Hometown, country), Channel views, Total upload views, Number of video uploads, Number of channel comments, Number of subscribers, Number of subscriptions
  2. More sophisticated subscriber information (collected once at the beginning for each channel): Number of the company’s subscribers who are friends with each other or who subscribe to each other, Number of subscribers for each of the company’s subscribers, Number of friends for each of the company’s subscribers, Number of subscriptions for each of the company’s subscribers, The number of common subscription for each pair of the company’s subscribers, The number of common friends for each pair of the company’s subscribers. Alternatively, this can be done by extracting each of the channel subscriber’s subscribers, friends, and subscriptions list and run the calculation later, if data storage is not a problem.
  3. Initial Video Properties (collected once at the beginning for each video): Date posted, Video length, Listed categories, Tags, Descriptions, Initial number of views at the time of sampling
  4. Daily Video Properties (collected daily for each video): Number of views, Number of text comments, Number of video comments, Number of ratings, Average ratings, Number of times favorite
  5. End Video Properties (collected once at the end for each video): Top 10 referral links listed for the video and the number of views associated with each link

I would like to start the project as soon as possible. So please contact me soon if you are interested or can recommend someone. Thanks!

Are Your Customers Really Loyal?

 

If Jane comes to your store every Saturday and spends $50, would you consider Jane a loyal customer? Driven by concerns about the bottom line, businesses often define loyalty based on how much consumers spend and how often they buy. But digging a little deeper into the psychological reasons behind “loyalty” can reveal important insight and help identify effective target marketing strategies.

In Jane’s situation, there are two possible reasons behind her “loyal” patronage: (1) she genuinely likes your products and services, and therefore, when need arises, she always comes to your store to make a purchase; (2) she comes to your store out of habit, whenever she’s on her way to visit her grandma on Saturdays. In other words, both habit and true loyalty can drive Jane’s seemingly loyal behavior, and your optimal marketing strategy should be different based on the exact reason involved. Let’s dissect this a little further, shall we?

Continue reading “Are Your Customers Really Loyal?”