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Each of these salesforce.com CRM solutions are grounded in best practices collected from hundreds of thousands of sales professionals supported over three decades. You will increase the velocity of your sales cycle, eliminate sales bottle necks and maximize your sales team’s effectiveness in less than 30 days.

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Sales Force Marketing - Salesforce.com CRM:
Why Conventional CRM Thinking May Be Flawed

Relationship marketing or CRM, and the money spent on it, is founded on the belief that it is more profitable to keep your customers for as long a time as possible. Research, published as far back as October 2000, refutes that.

I’m referring to a learned article by Drs.Werner J Reinartz & V Kumar, published in the Journal of Marketing, with a subsequent and more recent paraphrase in the Harvard Business Review.
At the outset I need to clarify that what I’m about to say here relates only to industries where there is no contractual relationship with the customer, eg. department stores, mail order operators and charities. For industries with a contractual relationship, eg. magazine subscriptions and mobile phones, the principles of CRM do hold true.

Typically marketing managers use RFM scores (recency, frequency and monetary value) to determine how much marketing money to spend on different segments of a database.

Three related principles underpin the argument for and methodology of CRM systems, these are:

1. Lifetime duration and profitability show a positive relationship.
2. The costs of serving customers decrease over time.
3. Long-life customers pay higher prices.

Surprisingly there is no empirical evidence to support any of these premises. Yes, that’s right, zero empirical evidence. There are plenty of articles written in support of these principles, and let’s face it they all sound plausible enough, but no one’s actually sat down to test whether these principles hold true or not. Until Reinartz & Kumar did with 9167 mail order customers over a 36 month period.

Their results are remarkable.
They tracked the transaction history of two similar groups of mail order customers over similar lengths of time but at different times, so that any time-related bias was eliminated.

Quite frankly I don’t want to bore you with the analysis but they show that the nature of the relationship is more complex than most people think. The current thinking is that you want to keep all your customers for as long as possible. Not so.
Reinartz & Kumar show that customers split themselves behaviourally into two groups; short-term and long-term.

These two groups can then be further sub-divided into high and low revenue groupings. What the study shows is that revenue (ie. Do they spend a lot?) is much more important a factor than life (ie. Do they hang around a long time?) In fact, in the study the most profitable group was short-term, high revenue customers, closely followed by long-term, high revenue customers.

Reinartz & Kumar suggest that the best thing to do is segment your customers by short and long term behaviours (we can show you how to do this) and then assign appropriate strategies to each group.

Now, what are the implications of this research?

1. If you are in an industry which has a non-contractual relationship with its customers, eg. mail order, or any business relying on repeat sales, you may need to rethink your CRM strategy – short-term high revenue customers may in fact be your most profitable customer group.

2. If you are using RFM analysis, (recency, frequency and monetary value) as a way of allocating your marketing spend, you are likely to be wasting c. 40% of your money. RFM is 60% accurate, the Reinartz Kumar method is up to 97% accurate.

3. If you have a marketing strategy which says,“we need to get and keep all our customers for as long as possible”, you now know there is a way to refine that strategy further.

There’s also a fundamental lesson here. It shows, once again, how essential it is to base marketing decisions on
1. an open mind and
2. empirical evidence.

The existing arguments for long-term CRM strategies are logical and appear to be common sense but in fact they don’t reflect hard reality.

Source: Bill Fryer link

 

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