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Automated Customer Retention

Automated customer retention means using sophisticated software to drive all customer analytics and marketing activities for better results.

Customer retention involves all the activities and policies which a company employs to encourage existing customers to remain active with the company. In a broad sense, the treatment experienced by customers at every stage of their relationship with the company – from pre-sales to post-sales to customer service – will determine the willingness of any given customer to maintain the business relationship. Regardless of the type of business, a happy and satisfied customer is obviously much more likely to remain a customer than one who is disappointed or frustrated with the experience.

Proactive Customer Retention

In addition to the customer-initiated interactions with a company, marketers (or “retention experts”) within the company often execute marketing actions aimed at encouraging a customer to conduct more business with the company or spend more on each transaction. Typically, these types of actions include sales, discounts, special offers and bonuses.

In order to be effective, active customer retention efforts need to approach each customer within the context of their unique behaviors, needs and preferences. Unfortunately, many marketers essentially assume that all customers (or large subsets of their customer base) will respond similarly to a given offer. Not only does this approach reduce the effectiveness of the customer retention efforts, but it can actually lose the company money by, for example, providing free bonuses to loyal customers who would have spent more anyway.

Segmentation and Predictive Analytics for More Effective Customer Retention

Marketing efforts are always a numbers game: how many customers will respond to a particular marketing action, how much impact will the marketing action have on those customers who do respond and what ROI will result. Whatever the goal of a marketing action – convert free users to become paying customers, increase customer spend, bring back customers from churn, etc. – marketers constantly seek to utilize the marketing actions which will have the greatest impact on their KPIs.

By intelligently segmenting customers into small segments predicted to behave similarly in response to particular actions, the marketer will almost always realize more successful marketing campaigns, with immediate improvements in sales and retention – and the resulting uplift in short-term and long-term revenues. Customer satisfaction and loyalty can be expected to increase as well. Meanwhile, targeting only the most relevant customers with each action can yield lower marketing costs.

The challenge in this approach is that it requires a very high standard of technical expertise among marketers and analysts, along with large amounts of time that most marketers simply don’t have. However, there is a way for marketers (even non-technical marketing people) to access the sophisticated tools and automation technology which can achieve reliable and accurate segmentation and predictive analytics.

Automated customer retention is about using sophisticated software to drive the entire cycle of planning, running, measuring and managing marketing actions aimed at increasing customer retention. The goal is to maximize retention (and ultimately customer lifetime value) by scientifically predicting the most effective marketing action to run for every customer, every time.

The first phase the software performs involves slicing and dicing all available customer behavior, transaction and demographics data and applying machine learning intelligence in order to achieve high-resolution customer micro-segmentation. Then, the marketer uses the software to plan which marketing actions to run on each “target group” (lists of periodic customers discovered by the software, such as newbies, high-rollers, about to churn, churn, back from churn) – and possibly to automatically execute the actions as well.

The software tracks the impact of each action on each micro-segment in order to learn which actions are most effective to each micro-segment. In the immediate term, the marketer will have total clarity into the effectiveness of each marketing action. Over time, the software will be able to recommend which marketing action will be most effective for each and every individual customer.

The Technology Enabler

Achieving accurate predictions of which marketing actions will be most successful for each customer is not a simple matter. In fact, successful automatic customer retention software needs to seamlessly combine four disparate technological capabilities:

  1. Dynamic and ongoing segmentation of customers into small groups (micro-segments) who will likely behave similarly in response to marketing actions

  2. Behavior modeling to predict how each micro-segment of customers will respond to each available marketing action

  3. Customer lifetime value forecasting to predict the long-term impact of marketing actions on customers (not just the immediate-term results) at every point in the customer lifecycle

  4. A self-learning, closed-loop action optimization methodology which can test, track and optimize how marketing actions affect micro-segments of customers

Given the complexity of performing these calculations, even when all the required source data is readily available, it is not surprising that automated customer retention is not widely available. However, by implementing such a system, marketing and retention teams will be able to reduce the guesswork involved in their efforts – and dramatically improve their performance.

Contact us today to learning how we can implement a custom customer retention program for your business

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