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      Customer Experience Tools

      Customer Lifetime Value Model

      Customer Lifetime Value Model

      By knowing the total amount of revenue a person will generate, companies can make better decisions on how to acquire and retain the customer.

      • Tempo di lettura min.
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      Customer Lifetime Value Model
      en

      Explore more insights from Bain's 2020 Customer Experience Tools and Trends survey: Let No Tool Stand Alone.

      Customer lifetime value (CLV) is the total amount of revenue (present and future) a company can expect to earn from one customer over the course of that person’s life, less costs for acquisition, serving and retention. There are different ways to calculate CLV, and being able to accurately predict the future piece of the CLV definition can be challenging. The best CLV models rely on the probability of whether or not a customer will purchase in the future. Leading companies regularly review and update their CLV models to ensure the calculations reflect the actual dynamics of the business.

      Customer Experience Tools and Trends: Customer lifetime value model
      Read more

      Customer Experience Tools and Trends

      Our insights share how the right CX tools make customers’ lives richer and more fulfilling and strengthen a company’s economics by holding down costs and securing new revenue streams.

      How companies use customer lifetime value modeling

      • Segment existing customers by expected contributions and implement differentiated strategies for retention and service.
      • Improve conversion and return on spending with a focused CLV and deep customer understanding.
      • Make data-informed hypotheses about which technologies to use in order to acquire and retain the customer.
      • Differentially target new customers with CLV analysis to estimate contributions of potential new customers, avoiding low-value prospects and targeting high-value prospects.
      • Inform key decisions of customer prioritization, acquisition, onboarding and retention.

      Key considerations

      • It is essential to build a comprehensive model, incorporating all important metrics, such as churn and total cost to serve.
      • CLV is most useful when combined with an understanding of root causes of customer behaviors and loyalty.
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      Come possiamo aiutarti
      • Customer Experience Analytics
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      Personalization Engine

      Personalization tools collect data from outside software and use advanced analytics to better understand an individual customer’s needs.

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      Online or Mobile Behavior Tracker

      With online or mobile trackers, companies identify customer trends and motives through the analysis of web traffic and other digital data.

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      Customer Feedback Management

      A suite of tools helps companies measure and monitor feedback, which can inform customer strategy.

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      AI Won’t Just Cut Costs, It Will Reinvent the Customer Experience

      Beyond efficiency, AI helps create a more personalized experience that delivers a triple play of customer loyalty, employee engagement, and revenue growth.

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      Customer Acquisition Model

      Customer acquisition models automatically identify the best potential leads and set up strategies to convert them into active customers.

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      First published in settembre 2020
      Tags
      • AI, Insights, and Solutions
      • Customer Experience
      • Customer Experience Analytics
      • Digital
      • Strumenti e trend customer experience

      Come abbiamo aiutato i nostri clienti

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