Remove CEM Remove Loyalty Remove Management Remove Online Experience
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Whitepaper: The Five Core Pillars for Your CEM Strategy

Responsetek

Customer Experience Management (CEM) is a methodology of measuring business performance based on the voice of the customer at all touch points in order to drive continuous customer-focused improvements. FIVE CRITICAL PILLARS FOR DESIGNING AN EFFECTIVE CEM PROGRAM. Company Consensus: Getting managers on Board.

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3 Steps to Becoming #1 on Trip Advisor

Beyond Philosophy

Downie explained that this was the result of recognising that Customer Service is only the final action in what has to be a much more strategic focus on the whole Customer Experience. “If Downie has high expectations of his team, from managers on down. Once the recruits join the team, however, training is essential.

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Subconscious Clues That Call People to Action

Beyond Philosophy

What about Call to Action in the Retail Experience? Strategy for CTA buttons is all well and good for the online experience, but what about retail experience and the CTAs that help consumers make decisions there? Regardless, the article statistically shows that they had an effect.

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Where Is Gamification Going? Some ‘New Rules’; Or, Stated Another Way….

Beyond Philosophy

…just how jaded and seeking for social interaction have customers become, in their relationships with vendors and their loyalty and engagement programs, that experiences need to always be fun and inclusive? Combine both offline and online experiences, where virtual and in-person activities can be worked into gaming.

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3 Ways to Use Mobile To Your Advantage

Beyond Philosophy

If you are separating the online channel from the brick and mortar channel, or the mobile online experience from the mobile app, you are missing the advantage of having a consistent experience. They also used targeted offers surrounding a geographic area near a brick and mortar store and improved their loyalty app.

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How NLP, ML and Deep Learning Can Transform Your CX Strategy

Chattermill

One of the most common examples of reinforcement learning is a machine learning to a play a computer game or in the case of Google’s Deepmind , an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. It starts off taking random actions, but over time figures out the optimal strategy. Deep Learning.