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How to Lead a B2B CX Transformation Program—And Avoid Costly Mistakes

ECXO

Governance mechanisms should be put in place early, led by leadership. For instance, some companies form a CX governance board comprising senior leaders from sales, marketing, operations, services and finance, chaired by the CX executive sponsor. analyse sentiment, and trigger alerts for immediate follow-up.

B2B 339
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Winning Leadership Support for Your CX Program: How to Align and Drive Buy-In

eglobalis

Some of the key challenges include: Complex Stakeholder Relationships: B2B purchases typically involve multiple decision-makers and longer sales cycles. Siloed Data and Systems: Customer information in B2B is often fragmented across sales, marketing, account management, and support. Demonstrating the value of CX (e.g.,

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Crafting and Cascading a Customer Experience Strategy Across Global Organizations

eglobalis

Sales and delivery teams provide invaluable data through regular customer interactions. Data analytics is critical for processing vast amounts of information to uncover patterns and actionable insights. Data analytics is critical for processing vast amounts of information to uncover patterns and actionable insights.

Strategy 453
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Designing and Rolling Out a Global Customer Experience Strategy

ECXO

Sales and Delivery Teams : Providing invaluable data through regular customer interactions. Data Analytics : Processing vast amounts of information to uncover patterns and actionable insights. Data Analytics : Processing vast amounts of information to uncover patterns and actionable insights.

Strategy 380
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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Effective real-time marketing

ECXO

Making the most of customer data by using analytics to better understand who your customers are (and what they want) can help you create better real-time customer experiences. Almost 75 percent have increased spending on real-time customer analytics. Only 22 percent of those surveyed say they are effective in using analytics and data.

Marketing 401
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Predictive Analytics: Unveiling the Future with Data

InMoment XI

Organizations should take a closer look at predictive analytics to discover the myriad of ways that data and artificial intelligence (AI) can power more personalized customer experiences and enhance brand loyalty and customer retention. What is Predictive Analytics? Why is Predictive Analytics Important?

Analytics 195