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Predictive Analytics In Marketing Is Helping The Wrong People

Are you targeting the wrong people in you marketing efforts?

30Nov

The rise of predictive analytics has brought many benefits to marketers. The tremendous amount of both real-time and historical data available about customer behaviour has afforded them the unprecedented ability to anticipate customer needs as opposed to merely respond to them. It has also enabled them to build ideal customer groups and target promotional materials. Marketers can easily identify the characteristics of their ideal/most likely customers, discover what they are like and what is likely to drive them to purchase, and entice them to open accounts and begin what will be a hopefully long lasting relationship with promotions appropriately tailored to their desires.

This has, for many, led to improved brand experience and increased sales. However, while predictive analysis is undoubtedly one of the most exciting tools in marketing, its widespread adoption has led to a strange situation whereby non-customers are valued more than actual customers, in which the onus for many marketers is to bring in new customers rather than retain the old ones. In a recent interview with Forbes, Shreesha Ramdas, CEO of Customer Success Automation startup Strikedeck, explained that this is happening for four reasons: ‘1) the number of solutions on the demand gen side outweigh those on the loyalty side (there are a lot of companies emerging that support demand gen, yet fewer that support loyalty), 2) it’s often easier to measure and quantify impact on the lead gen side, 3) this is the status quo and worked just in the pre-SaaS/subscription world, and 4) it is much easier to measure and celebrate new revenue from new customers than revenue saved by reducing churn.’

Focusing on new customers at the expense of olds ones is a short termist strategy that’s foolish for a number of reasons. As people begin to get aggrieved that they are not getting the same offers as new customers, they will likely look elsewhere. Indeed, somewhat ironically, they will likely look to rivals who are doing similar starter offers. The realization that their loyalty is not being rewarded is also going to irritate some of your best sources of promotion - your referrers. In the age of social media, where people rely more than ever on recommendations - 81% of consumers are likely to look at recommendations and posts from family and friends when considering a purchase according to Forbes research - these people are vital.

Another reason customer retention is so important is simply that it is so much cheaper than acquiring new ones, and more profitable. Predictive analytics simply needs to be focused in the right way. You have far more data from your loyal customers by virtue of understanding their purchase history. Using this data, you can anticipate when they are likely to purchase and incorporate a deeper level of personalization into your emails and social media - particularly necessary in an age of adblocking, in which consumers expect ads to be wholly relevant to them. It also means your traditional loyalty programs can reward the best customers rather than just any customers, looking at recency, frequency, and spend metrics to identify the most genuinely loyal customers as opposed to just offering them to everyone. Analytics can even be used to personalize these rewards - instead of receiving generic offers, each customer is given their own unique experience with individualized incentives.

This is backed up by a huge body of research, all of which shows greatly increased ROI to those who prioritize their loyal customers. According to Forbes Insights/Sailthru, companies that increased their spend on retention in the past one to three years saw an almost 200% greater likelihood of growing market share in the past year compared with those spending more on acquisition. Gartner, meanwhile, found that companies that focus their marketing on existing customers saw a 20% increase in revenues, and according to Marketing Metrics, the probability of selling to an existing customer is 60-70%. whereas the probability of selling to a new prospect is only 5% to 20%.

Despite the rewards, many marketers are still failing to consider their current customers. Sailthru’s research also revealed that only 18% of companies focus on customer retention and conduct strategic customer marketing. This is something companies are beginning to appreciate, though. A recent eMarketer report found that the majority of US marketers plan to allocate more of their budgets to customer loyalty in 2017, and about 13% anticipate raising spending significantly.

All of this is not to say that marketers should completely forgo any attempt to look for new customers and appeal to them. It is, however, to say that the best way of doing this is by appealing to your current customers. This will not only ensure loyalty, it will mean that a large part of the job of attracting new customers is done for you through word of mouth. It will give you an audience more receptive to your social media campaigns and more likely to share posts, an audience less likely to complain and to be more tolerant of your mistakes, and - most importantly - an audience that is going to consistently spend money with you.

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