• Print Friendly and PDF
  • Print Friendly and PDF
Tim Tyler

Tim Tyler

Genroe
Tim Tyler is a consultant and Certified Net Promoter® Associate at Genroe, a consultancy specalising in customer experience management.
  • 0 comments 803 reads
    Posted on 2011-09-26

    “Capturing Customers”, “Luring Customers”, “Attracting Customers” and “Keeping Customers” are all terms used daily in marketing departments.  They invoke images of carefully prepared fly patterns, practiced casts and the adrenalin of a good strike, ending with the satisfaction of a catch of the legal size, a ‘keeper’.

    Many organisations view customers in the same way that the fishing industry viewed Atlantic fish stocks.  Stay with me I’ll make this work.

    Some marketers, (not you gentle reader) allow various product managers to fish the same customer waters day in day out.  They use nets, lines, perhaps even explosives,in fact  any technique they can to catch all the fish they can for their product line. Large fish, small fish, dolphins and seals, no matter, the sheer weight of fish is all that matters, catch them and the folks in accounts or risk management can sort them out later.

    But it can’t go on forever and interesting things happen as fish stocks deplete...

  • 0 comments 916 reads
    Posted on 2011-09-14

    “If you strip away all the hype around how to ‘do’ relationships, you are left with one simple concept. The real essence of a relationship is simply a memory of past interactions.” [1]

    Learning is at the heart of customer loyalty management and has been ever since the empirical work of Reichheld [2] (and others) in the early 1990’s showed that customer loyalty is directly related to corporate profits. Learning about customers and remembering them is central to the task of managing customer relationships.

    Looking back all that way to the pre-Net Promoter Score primordial haze; Reichheld found 3 loyalty effects, each highly correlated with profitability,

    The relationship between Customer and Employee loyalty is particularly relevant to loyalty management success, though it takes a longer term view of customer value.

    Reichheld...

  • 0 comments 2,445 reads
    Posted on 2010-08-19

    We recently participated in a written interview for the SME magazine of one of our major Australian banks. The article was not all about us, so some of the input was edited to meet space restrictions; but we post the transcript here for those of you interested in Customer Lifetime Value and loyalty programs.

    (Please excuse us for retaining the Q&A structure of the original).

    Q: Please explain the theory behind customer lifetime value.

    The concept of customer lifetime value is quite simple; customers give you value by buying from you now and if you do a good job, buying from you again in the future. Lifetime value is the sum of these two cash flows.

    If your service makes it more likely that the customer will return in the future and spend again, you have increased the customer’s lifetime value.

    If bad service decreases the likelihood that they will ever come back, you have just destroyed future cash flow, or...

  • 0 comments 4,680 reads
    Posted on 2010-08-02

    The Australian general insurance business has become a hot house of competition, with heavy promotion by new overseas online insurers.

    Intense competition can be a catalyst for innovation and we believe that one insurer is innovating in a refreshing and effective way – by collaborating directly with customers.

    The Buzz began life co-creating with customers. Through focus groups, market research and an online community / ideas exchange called ‘My Insurance Ideas’ the IAG-backed team shaped the company that became The Buzz. (Interest declared; we help The Buzz).

    A consistent and dominant theme in these thousands of customer conversations was that insurance consumers are looking for an insurer who appreciates and recognises customer loyalty and customers want to be treated as an individual.

    Given the ubiquity of no-claims bonuses in...

  • 0 comments 2,157 reads
    Posted on 2010-07-09

    From the early days of data-driven marketing, it has been known that marketers can predict which customers are most likely to respond to an offer by ranking them on the basis of;

    • how Recently they have transacted with you
    • how Frequently they have transacted with you
    • how much money (Monetary) they have spent with you.

    It is also well known that of the 3: RFM, Recency is the best predictor of future business. My favourite database marketing guru, Arthur Hughes says;

  • 0 comments 2,427 reads
    Posted on 2010-06-28

    Every now and then I like to go back and read past work from the giants of our craft, and Philip Kotler certainly qualifies as a good set of shoulders for us to stand on so we can see further. In 2000 Mr. Kotler published “Marketing Management, Millennium Edition” (2000, Prentice Hall) and given the occasion, he looked forward and predicted the issues that Marketing would be dealing with in the new century.

    Almost a decade into the 2000′s, I can say I think he was correct. He may despair that we are still to resolve the issues, but he was correct in identifying the major tasks in what we have (un-poetically perhaps) called ‘do marketing’.

    So with comments based on our client...

  • 2 comments 3,455 reads
    Posted on 2010-06-20

    Over the last 18 months or so we have been working with an innovative client who has looked to their customers to co-create their business model, products and loyalty strategy. It has been an exciting and thrilling journey in a typically conservative industry; financial services. In their case an online, conversational, community was an invaluable supplement to focus groups and market research and the conversation has been extended to social media such as twitter and Facebook.

    This experience has us thinking about the opportunities organisations (those not afraid of public dialogue with their customers) have to develop new products in concert with their customers. We came across this useful paper recently and recommend it to anyone looking to make new product development a lower risk proposition;...

  • 0 comments 1,418 reads
    Posted on 2010-06-05

    Measuring the effectiveness of customer loyalty programs has always been a bit of a problem.

    We know the objectives of these programs clearly, customers who;

    • stay longer
    • consolidate their spending with you
    • recommend you to their family and friends

    but even if members exhibit all of these behaviours, how can you be sure it is because of your customer loyalty program investments, or your products or even your other marketing efforts?

    In other marketing channels we add credibility to claims of causality for our campaigns by holding back a portion of our customers in a control group. We try to ensure that this group is exposed to everything except the campaign we are measuring. This way, if there are differences in responses between the control and test customers it must be due to the campaign because that is the only difference.

    ...

  • 4 comments 2,145 reads
    Posted on 2010-02-11

    Some time ago I posted an answer to a question I was asked by a retail client; ‘if the offers are always relevant, does it matter to customers how often I send them?’ The post was on Strike a Chord

    At the time I talked briefly about the fact that relevance is not independent of the customer’s position in their buying cycle. What is relevant when they are ready to buy, is spam when they are not ready to buy.

    The team at Genroe have just finished reviewing a (great) publication that points to how we should answer this critical marketing question.

    Published in Marketing Science (and reviewed by Jim Novo on his blog) Khan, Lewis and Singh look at the relative payback of getting the timing of an offer right versus getting the...

  • 2 comments 3,149 reads
    Posted on 2010-01-03

    Using the Value Map and calculating Marketing Allowable puts you in good stead as you manage your customer relationships. But, if you don’t know where you are going, any road will get you there – so we need to have some way of determining when the right messages will be sent to each customer – we basically need a traffic cop to make sure that the right message gets sent at the right time.

    In our approach we call this the Customer Contact Framework or CCF.  The CCF is not one function but three different functions that continually interact to prioritise and control all aspects of the customer contact.

    ...