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Embrace New Ways of Thinking in 2016

Beyond Philosophy

This is gratifying for me because when I wrote about emotions for Building Great Customer Experiences back in 2002, everybody acted like I was mad. Predictive Analytics Are Key. Predictive analytics are key to improving Customer Experience in 2016. Thirteen years is a long time to be considered a madman! My prediction.

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Embrace New Ways of Thinking in 2016

Beyond Philosophy

This is gratifying for me because when I wrote about emotions for Building Great Customer Experiences back in 2002, everybody acted like I was mad. Predictive Analytics Are Key. Predictive analytics are key to improving Customer Experience in 2016. Thirteen years is a long time to be considered a madman! My prediction.

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What is the best scale for customer satisfaction surveys?

Customer Relationship Metrics

What is the best approach for analyzing survey results to insure value, accuracy, and accountability? When teams or agents are held accountable for customer evaluations, it’s natural for the focus to be on what’s “fair”. How will the survey results be used? The issue of variability must also be considered along with reliability.

Surveys 90
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Stumped for New Ideas? This is What is Stopping You

Beyond Philosophy

Some of us are experts in analytics; others are big-picture thinkers. When we first started with Beyond Philosophy in 2002, we worked with a water utility in the UK. Therefore, we recommend looking for multiple causes for any effect to account for Interactions when coming up with new ideas. . Test and measure your results.

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Conversational AI: Trends to Watch in 2023

SmartAction

Trend #3: Actionable Intelligence Another burgeoning Conversational AI trend in 2023 relates to data, analytics and “actionable intelligence” around the conversational sides of a business. This integration will enable voice-enabled self service, a feature that customers are demanding, and the ability to handle complex voice interactions.

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The Differences Between B2B and B2C Customer Journey Mapping

GetFeedback

On the selling (vendor) side, there are salespeople, customer support reps, accounting personnel, manufacturing, accounting, legal, and more. Examples might include shoppers at a store, a personal banking account, or cell phone service. Seriously, no one wants to be thought of as an “account” or “customer number.” .

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Personalize your generative AI applications with Amazon SageMaker Feature Store

AWS Machine Learning

User preference alignment – By taking into account a user profile that signifies user preferences, potential recommendations are better positioned to identify content characteristics and features that resonate with target users.