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Our 2018 Customer Acquisition And Engagement Blog Roundup

December 19, 2018 at 8:50 AM

Our final roundup this year covers two of our main topics: customer acquisition and customer engagement. We’ve not covered these topics in depth this year, and so decided to combine these two to provide a roundup of the best of both.

One of the most popular blogs in both categories is our Agent X video. If you've not yet seen it – spend the minute to get a better understanding of one of our great products! Another favourite blog is the FAQ on MarketWise: another of our new, innovative products. The remaining three most popular blogs are great blogs that give insights on how to improve acquisitions and retentions. We hope you not only gain valuable and actionable insights from these blogs but that they give you a better understanding of how our products have been created to serve your needs.

5 Best Customer and Marketing Analytics Blogs

Meet Agent X – Your Call Centre Virtual Assistant

Meet Vusi, a call centre agent, with call centre agent struggles. He needs to keep his customers engaged while he shifts between various systems to find the information he needs to meet his manager’s expectations of consistent, successful call outcomes. And he never really knows how he is performing against his targets…

With Principa’s Agent X call centre virtual assistant, those struggles are a thing of the past.

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How Machine Learning Can Improve Direct Marketing Results

With direct marketing, you likely have a benchmark success rate from previous similar campaigns that you base your goals on, and you try to optimise it through various strategies, whether by trying to offer the best deals or by using behavioural tactics.

One of the most successful ways to optimise your direct marketing results is with machine learning. Implementing a machine learning approach in your direct marketing efforts is sure to result in improved conversion rates. In this blog, we discuss using machine learning for direct marketing in finer detail.

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4 Lessons From Great Customer Retention Strategies On Reducing Churn

As the pressure of intensifying competition mounts every day, companies must look to boost customer loyalty, considering that it costs five times as much to onboard a customer than it is to retain one. And with consumer influence now stronger than ever, businesses that fail to respond to their customers’ needs will feel the impact on their sales figures. A recent study by Bain & Company revealed a 10% increase in customer retention levels results in a 30% increase in the value of a company, and a 5% increase in customer retention rates increases profits by between 25 and 95%.

Central to this is the pervasiveness of the social, mobile, analytics and cloud era that is redefining traditional retail models that place the consumer at centre-stage.

It seems that the key to achieving a competitive edge in the modern age is to identify opportunities that enable the shift toward customer-focused and data-driven business models. (Click to Tweet!)

In this blog post, we look at some great examples of customer retention strategies in action and how you can apply these same strategies in your business every day.

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Everything You Need To Know About MarketWise: Your FAQs Answered

MarketWise is an audience of online users within South Africa which can be segmented and arranged according to a brand or advertisers target market. Online ads can then be served to this audience as they browse the internet.

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How Scorecards Can Be Used To Determine Customer Loyalty

The right customers are essential for every business. Marketing to and serving customers who are not profitable removes your focus from your best customers and ensuring they remain loyal to your company. Scorecards can help you identify and focus on your ideal customers by ranking your customers by the common criteria historically shown to be shared by your best customers.

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[Slideshare] How To Make Your Business Data Work For You

Common barriers to success: Skills shortage: data scientists are in high demand and in low supply. Companies lack the skills to develop advanced data analytics or machine learning applications. Cost: recruiting and building up or training a team, as well as infrastructure costs are immense. Inefficiency and low ROI on: acquisition campaigns; re-activation and retention campaigns; outbound sales calls and debt collection. Resulting in: No or ineffective use of data. High cost to get insights from data. Low returns from campaigns. What’s the alternative? Machine Learning as a Service (MLaaS): removes infrastructure skills and requirements for machine learning, allowing you to begin benefiting from machine learning quickly with little investment. Subscription based pricing, allowing you to benefit using machine learning while minimising your set-up costs and seeing returns sooner. Answers as a Service: Use historic data and machine learning to allow answers to increase in accuracy with time. MLaaS with predictive models pre-developed to answers specific questions: Genius Call Connect: What is the best time and number to call customers? Genius Customer Growth: Which customers are most likely to respond to cross-sell? Genius Re-activation: Which dormant customers are worth re-activating? Genius Customer Retention: Which customers are most likely to churn? Genius Leads: Which contacts are likely to respond to my campaign? Genius Risk Classifier: Which debtors are most likely to pay or roll? Benefits of Genius: Quick and cost-effective ability to leverage machine learning: Minimal set-up time Minimal involvement from IT Subscription based service Looking to make your data work for your business? Read more on Genius to see how it can help your business succeed. 

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Our 2018 Customer Acquisition And Engagement Blog Roundup

Our final roundup this year covers two of our main topics: customer acquisition and customer engagement. We’ve not covered these topics in depth this year, and so decided to combine these two to provide a roundup of the best of both.