#ProactivePrediction #customersuccess
Proactive predictions are often done by Customer Success Managers to foresee and reduce the unknown risks that may threaten the opportunities for success. Through early proactive prediction, one may detect customer risk that can positively impact the customers. This, however, is one of the obstacles every Customer Success Manager faces because of the ever-changing business landscape. Does having proactive predictions automatically mean achieving success?
Success may be a matter of planning, but other factors are difficult to foresee that will eventually impact the plan. As a Customer Success Manager, it is imperative to reduce the element of surprise when managing multiple accounts. A great strategy to do this is by providing proactive prediction measures. Doing a proactive prediction for customer success can help to maximize the chances of prosperity for a company.
In this video, Irit Eizips, CEO and Chief Customer Officer at CSM Practice, reviews a blog written by Guy Galon, VP Customer Success at Hysolate. The blog talks about a few examples of successfully performing proactive predictions as a Customer Success Manager.
Watch the full video now and learn more about customer risk proactive prediction.
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📑 Building a Proactive Data-Driven Customer Success Engagement:
🎥 Must-watch! How to Reduce SaaS Churn by Identifying At-Risk Customers Early
🎥 Watch this video to learn more about the proactive support model and how can we infuse Customer Success methodologies into our existing support model :
⏬ How Proactive is your CSM team? Download the CSM Proactivity Assessment now!
00:00 Intro
01:24 Detecting Competitive Threat Early
02:52 Proactive Prediction Tips to Detect Customer Risks
08:30 Detecting Internal Politics Risks
08:37 Detecting Stakeholder Change Early