Customer Analytics Executive Webinar

Customer Retention Strategy with AI and Analytics

March 26, 2021
11:00 AM – 12:30 PM (GMT+0)

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About Event

Customer Analytics refers to the processes and technologies that give businesses and organisations the customer insights necessary to deliver offers that are anticipated, relevant and timely. The deeper your understanding of customers’ buying habits and lifestyle preferences is, the more accurate your predictions of future buying behaviours will be – and the more successful you will be at delivering relevant offers that attract rather than alienate customers.

This Customer Analytics Event will enlighten and demonstrate how analytics is helping businesses and organisations understand customer behaviours and patterns. Furthermore, discover best practice Customer Sentiment Analytics to help businesses gain a deeper insight into how their customers think and feel. Learn how to measure and track brand intelligence, identify customers needing attention, assess the impact of your marketing campaigns, and more.

Join this event led by highly experienced AI and Analytics Consultants and emerge with deeper knowledge of Customer Analytics to infuse your strategic decisions with unprecedented customer insights, and create relevant, satisfying, valued customer experiences.

Some remarkable impacts to business performance brought by Customer Analytics include:
  • Marketing effectiveness: Deliver the right message by segmenting customers more effectively and better understanding target populations.
  • Reduced marketing costs: Reduce campaign costs by targeting those customers most likely to respond.
  • Competitive pricing: Price your products and create offers according to demand and by what customers expect.
  • Customisation: Customers can select from a combination of features or services that meet their needs.
  • Reduced waste: Manage your inventory better by anticipating customer demands.
  • Faster delivery: Knowing what products will sell when and where allows manufacturing efforts to anticipate demand and prevent a loss of sales.
  • Higher profitability: More competitive prices, reduced marketing costs, and higher sales are results of targeted marketing and sales efforts, which leads to increased profitability.
  • More loyal customers: Increase response rates and customer loyalty by contacting the right customers with highly relevant offers and messages. Decrease attrition by accurately predicting customers most likely to leave and developing the right proactive campaigns to retain them.
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Join The Workshop Led By Highly Experienced Analytics Consultants

Barry Walsh

Head of Advisory and Analytics Solutions

15+ years experience of delivering client analytics and exploiting disparate and complex business data using advanced Machine Learning and BI tools.

Simi Adeboye

AI and Data Science Consultant

Over 5 years’ experience in Predictive Analytics, Machine Learning and AI across industry sectors, particularly TELCOS, and Retail and Customer Products.