2024 Best practices Feedback Metrics 
Totango
JANUARY 3, 2024
As we kick off 2024, it’s time to reflect on the past year and look forward to what the future holds for customer success. We’re proud to have dedicated 13 years to cultivating best practices and expertise in the customer success software category.
Lumoa
FEBRUARY 14, 2024
From lead conversion rates (CVR), click-through rates (CTR), and Net Promoter Scores (NPS), companies use multiple metrics to analyze the effectiveness of their CX strategy. Is your CX strategy up to the task of meeting customers’ expectations going into 2024?
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Lumoa
APRIL 28, 2024
More than 80% of business leaders see customer experience as a growing priority in 2024. They offer you one space where you can collect all the customer feedback, analyze it, report it, and adjust your cx insights strategy by collecting. If you’re reading this blog post, you are probably one of them. Which Platform Fits Your Needs?
Horizon CX
FEBRUARY 29, 2024
The Power of Purging Perfunctory Performance Introduction In the bustling world of business, where metrics often dominate discussions and efficiency reigns supreme, one crucial aspect can sometimes be overlooked: the human element. Celebrate successes and share best practices to inspire and motivate others.
Totango
JANUARY 2, 2024
More merchants are going live; we’re not losing them in the onboarding process, and then outside of this, we also saw an increase in engagement metrics from our merchants watching self-service videos. Most every CS leader wants to achieve or improve the business outcomes for their team, but the CS Ops person is really the one that drives it.”
Playvox
APRIL 4, 2023
Ticket volumes and customer feedback are way up in the last few years. How a manager gives feedback is one of the most important aspects of their communication. Most managers think they’re pretty good at it — 65% of managers in a Gallup study agreed or strongly agreed with the idea that they’re effective at delivering feedback.
AWS Machine Learning
NOVEMBER 16, 2023
The real-world performance and feedback are eventually used for further model improvements with full automation of the model training and deployment. Early in the project, Philips identified champions from the business teams who provided feedback and helped evaluate the value of the platform.
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