Remove Best practices Remove Metrics Remove Strategic Value
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Building a Proactive Data-Driven Customer Success Engagement

CSM Practice

A survey of 100 customer success leaders, conducted by Gainsight in 2018, revealed that the maturity level correlated with the financial metrics of the company: Reactive; GRR is 80%, and NRR is 92%. Value; Prove quantitative and strategic value delivered. So why obsess over data and strive for maturity?

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Predictions for Customer Success in 2019

ChurnZero

So, without further ado, here are twenty-two trends, best practices and predictions for the year ahead. These will be personalized, but technology-based, and will help CSMs to focus on the areas where they can provide proactive, strategic value to their customers.” Customer Success Around the Web.

SaaS 73
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CSM from the Trenches – 3 Principles I Learned in My First Year as a CSM

ClientSuccess

Welcome to our blog series CSM from the Trenches, a community for frontline Customer Success Managers (CSMs) that discusses trends, best practices, and advice for the frontline. We shouldn’t let the fear of making mistakes hinder our ability to deliver strategic value for the relationship. Confidence is key!

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Productivity Tips For Customer Success Teams – PART 1

CSM Practice

At CSM Practice , we create playbooks that are well defined based on best practices for our clients. The metric you employ should be personalized to your distinctive customer base and must properly defend the different risk levels, opportunities, and revenue from your clients.

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Predictions for Customer Success in 2019

ChurnZero

So, without further ado, here are twenty-two trends, best practices and predictions for the year ahead. These will be personalized, but technology-based, and will help CSMs to focus on the areas where they can provide proactive, strategic value to their customers.” Customer Success Around the Web.

SaaS 49
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Nov 08 – Customer Success Jobs 

SmartKarrot

Leverage data, metrics and insights to build and strengthen the overall CS strategy, specifically working on delivering new CRM Analytics and Service Cloud platforms – ultimately working on customer health benchmarks and driving improvements. Set strategic direction for your team and translate it into actionable daily/weekly initiatives.

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Solve forecasting challenges for the retail and CPG industry using Amazon SageMaker Canvas

AWS Machine Learning

Here are explanations of what these metrics mean and how you can use them: wQL The average Weighted Quantile Loss (wQL) evaluates the forecast by averaging the accuracy at the P10, P50, and P90 quantiles (unless the user has changed them). You can change the default metric based on your needs. wQL is the default metric.

Metrics 101