How a New Zealand apparel retailer worked out what its loyalty programme membership was worth, and what the answer rested on.
A New Zealand apparel retailer paid about $1m a year to belong to a national shared rewards programme, and could not say what it earned back. I was the retailer's CRM Manager, and I pulled and analysed the customer data for the project that answered the question. A loyalty consultant designed the approach.
Earlier attempts to value the membership had been inconclusive. The brief asked for an answer in dollars: is the return adequate, and if it is not, why not? Even if it was adequate, where could the programme be made worth more? A second aim was to leave the retailer's own staff able to repeat the analysis on its other market.
The work compared customers who belonged to the programme with customers who did not, using the retailer's own customer database, and put a dollar value on each difference.
Members spent 50% more than other customers. Allowing for age and tenure, that fell to 30%. Members were also twice as likely to be in the retailer's top-customer programme (20% of members against 10% of non-members), which brings extra marketing and extra sales. Taking that out left 20%. Only the 20% was valued.
The extra spend came almost entirely from a higher order frequency, and the gap showed at every length of tenure.
Annual retention was 84% for established members against 79% for non-members, and 78% against 70% for new customers.
Among new customers who were members, 10% said the points were very important in choosing the retailer, and 40% had not known it offered the programme when they decided. In the research, 59% of members named the programme as the retailer's main loyalty programme, so 41% were earning points without recalling the benefit.
Items on bonus points sold more, but they sold more by a similar amount to non-members, so the points may not have been the reason. Earlier trials pointed the same way: a minimal bonus was enough to get the likely maximum response.
About $9m of the roughly $22m of benefits, in present-value terms, came from existing customers assumed to be at the retailer only because of the programme. The research could not ask people why they started shopping years earlier, so the model assumed that about 23% of customers had been influenced that way, the share seen among newer customers. The model's own sensitivity test shows how much hangs on an input like this: moving the assumed sales boost by 10 points moved the after-tax result by about $4m.
It did not test what would happen if the retailer left, or whether the $1m could earn more somewhere else.
The base case came to a present value of about $15m before tax and about $10m after tax over five years, after the cost of the points and other programme costs. The advice was to stay in the programme and make more of it:
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