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2. Artificial intelligence in customer experience - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_in...

   Artificial intelligence in customer experience is the use and development of artificial intelligence (AI) to aid and improve customer experience (sometimes abbreviated to CX AI). [ 1 ] [ 2 ] Chatbots are often seen as the first step in the development of AI within the industry, but more tailored offerings are slowly becoming available.

3. Customer experience - Wikipedia

   en.wikipedia.org/wiki/Customer_experience

   Businesses use customer values and create a plan to gain a competitive advantage. Businesses use the knowledge of customers to guide the customer journey to their products and services. [57] Due to the shift in customer experience, in 2014 Wolny & Charoensuksai highlight three behaviours that show how decisions can be made in this digital journey.

4. Customer analytics - Wikipedia

   en.wikipedia.org/wiki/Customer_analytics

   Customer analytics is a process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing , site selection , and customer relationship management .

5. Behavioral analytics - Wikipedia

   en.wikipedia.org/wiki/Behavioral_analytics

   Behavioral analytics is also used by Target to suggest products to customers in their retail stores, while political campaigns use it to determine how potential voters should be approached. In addition to retail and political applications, behavioral analytics is also used by banks and manufacturing firms to prioritize leads generated by their ...

6. Business analytics - Wikipedia

   en.wikipedia.org/wiki/Business_analytics

   When a specific customer type is considering a purchase, an analytics-enabled enterprise can modify the sales pitch to appeal to that consumer. This means the storage space for all that data must react extremely fast to provide the necessary data in real-time.

7. Cohort analysis - Wikipedia

   en.wikipedia.org/wiki/Cohort_analysis

   The gaming example measured a customer's willingness to buy gaming credits based on how much lag time there was on the site. Define the specific cohorts that are relevant. In creating a cohort, one must either analyze all the users and target them or perform attribute contribution in order to find the relevant differences between each of them ...