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Elevate your customer success strategy by mastering the art of health scores, the key to unlocking a deeper understanding of customer satisfaction and loyalty. Discover how these scores serve as a beacon, guiding you through the complexities of customer relationships.
The Velaris Team
January 6, 2026
Customer Success health scores bring key customer signals into a single view to help teams understand risk, engagement, and growth potential. Without them, CS teams are forced to rely on gut instinct and scattered data to assess customer health. Unfortunately, the gaps only become obvious when a renewal is already at risk, leaving CSMs scrambling to piece together what went wrong.
This guide is for Customer Success Managers, CS leaders, and CS Ops teams who want a more proactive way to track customer health as account volumes increase, lifecycle stages expand, and churn becomes harder to predict.
Customer health scores are essentially a numerical reflection of a customer's current and future success potential. They enable businesses to assess the overall health of their customer relationships, encapsulating metrics such as product usage, satisfaction rates, and the likelihood of renewal or churn.
The primary purpose of a health score is to enable proactive customer success management. This involves identifying potential issues before they escalate, fostering stronger customer relationships, and ultimately, improving customer retention.
Unlike traditional metrics that often focus on a single aspect of customer behaviour, health scores provide a holistic view of a customer's journey and interaction with your brand. This integrated approach ensures no crucial detail is overlooked when shaping your customer success strategy. It's not just about the number but what it represents: a deep, comprehensive understanding of your customer's needs, behaviour, and potential for growth.
Health scores are built from multiple signals, each reflecting a different aspect of customer behavior and risk.
When it comes to weighing these components, it's essential to consider your unique business model and the customer journey. For instance, if you're running a SaaS business, product usage might carry more weight than in a traditional retail setting, and these may vary depending on the life-cycle stage they are at.
But for a service-based company, customer feedback might be the most critical component. Remember, there's no one-size-fits-all approach, but here are a few common elements to consider:
This refers to how often and in what manner your customers use your product or service. Tracking usage patterns can provide insights into how well your product meets your customers' needs and any potential areas of improvement.
This is a direct indicator of customer satisfaction. Regularly collecting and analysing customer feedback allows you to understand your customer's perspectives and adjust your services accordingly.
Examining the frequency, type, and resolution of support tickets can shed light on any recurring issues that may affect your customer's experience.
This includes interactions with your brand such as email open rates, website visits, or social media activity. These indicators can provide a snapshot of customer interest and engagement.
Timely payments and the absence of billing issues can signal a satisfied and financially healthy customer.
This is an obvious but critical factor. High renewal rates and low churn indicate a healthy customer relationship.
The components you choose and their respective weights should reflect your business's unique needs and objectives. Tailoring your health score model to your business is essential to generating accurate, actionable insights.
How do you go about setting up a customer success health score system? The process can be broken down into a few key steps.

You must first determine which components will make up your health score. As we discussed earlier, this could include product usage, customer feedback, support ticket trends, engagement levels, billing information, and renewal rates. Each component should be chosen based on its relevance to your business and customer journey.
Once you've identified your key components, assign weights to each based on their importance to your customer’s health. This requires a thorough understanding of your customer’s lifecycle and the various touchpoints that impact their relationship with your brand.
After defining your components and weights, it's time to gather the necessary data. Utilise your CRM system, customer feedback, support ticketing system, and other relevant tools to compile the necessary information.
With all the data in hand, calculate your health scores. This can be a manual process, but there are various software solutions available that can automate this for you. These solutions can handle large volumes of data and provide real-time health scores.
Finally, regularly review and adjust your health score system based on changing customer behaviours, trends, and business objectives. This ensures that your system remains accurate and relevant.
Automated health scoring is most useful when scores update in real time and trigger workflows. So consider solutions like Velaris, which is highly rated on G2.
Velaris is a Customer Success Platform that offers functionalities that streamline the process of collecting data, calculating health scores, and providing actionable insights based on these scores. It also allows for easy integration with your existing CRM systems, providing a seamless way to track and monitor customer health.
Velaris makes it easy to turn scattered customer signals into a single, reliable health score that reflects the true state of each customer relationship.
At a high level, creating a customer health score in Velaris involves defining what to measure, how to score it, and how to interpret the result.
Velaris allows you to tailor health scores based on how you manage customers.
You can configure health scores:
Every health score in Velaris is built using a simple hierarchy:
Raw data becomes meaningful through criteria.
For every indicator, you define what counts as:
For example, license utilisation might be considered good above a certain threshold, average within a range, and poor below it. These criteria determine how many points the indicator contributes to the overall score.
Each indicator is given a maximum point value. Based on whether a customer meets the good, average, or poor criteria, they earn a percentage of those points.
Velaris automatically:
This keeps the scoring logic consistent and transparent across all customers.
Velaris allows you to include AI Pulse as an indicator within your health score.
AI Pulse analyzes customer conversations such as emails and calls to assess sentiment, tone, and risk signals. When included, it complements usage, engagement, and commercial data.
To make the score immediately actionable, Velaris maps the numeric score to a simple Red, Amber, Green status.
This visual layer helps teams quickly identify:
The thresholds for each status can be customized to match your organisation’s definition of risk and success.
All health score configurations are managed from the Health Management module in Velaris. Administrators can update indicators, adjust criteria, and refine category weights as the business evolves.
This makes it easy to start simple, validate the score in practice, and gradually improve accuracy over time.
Interpreting customer success health scores is a pivotal step in capitalising on the insights they offer. Here's a breakdown of key guidelines to effectively interpret health scores and identify at-risk customers:
Health scores can vary widely depending on your chosen metrics and weights. Knowing what constitutes a high or low score in your system is essential. For instance, if you're using a scale of 1-100, determine what score range signals a healthy customer relationship and what might cause concern.
While individual health scores offer valuable snapshots, looking at trends over time provides a more comprehensive understanding. For instance, if a customer's score is consistently dropping, even if it's still in the 'healthy' range, this may be an early sign of potential issues.
Determine which factors are having the most significant impact on a customer's health score. If certain components consistently correlate with low scores, these might be areas that need more attention in your customer success strategy.
A customer's position in their lifecycle can influence their health score. For instance, new customers might have lower product usage, impacting their score. Similarly, longstanding customers might display different usage patterns or have higher renewal rates. Velaris allows you to filter your customers by lifecycle stage so you can set different health parameters at different lifecycle stages.
For customers with low health scores, it's crucial to delve deeper and understand the specific reasons behind the low score. Identifying common factors among at-risk customers can help inform proactive strategies to prevent churn.
It's just as important to understand what's driving high health scores. Analysing your happiest customers can provide valuable insights into what's working well in your customer success strategy.
Remember, interpreting health scores isn't about being reactive to low scores but being proactive in continually improving customer success.
Customer health scores should not only indicate current health but also inform proactive strategies for boosting customer success. Here are some effective strategies for leveraging your health score insights:
Health scores are most valuable in the months leading up to renewal. Declining usage, lower engagement, or unresolved support issues can signal risk well before renewal conversations begin. By monitoring these signals early, CS teams can prioritise at-risk accounts, adjust success plans, and address concerns before renewals become reactive or last-minute.
During onboarding, health scores help teams understand whether customers are progressing as expected. Low usage, delayed milestones, or early support requests can indicate friction that needs immediate attention. Health scores make it easier to identify stalled onboarding experiences and intervene before poor early experiences impact long-term adoption.
Health scores also highlight expansion opportunities. Customers with strong usage, high engagement, and positive feedback are often best positioned for upsell or cross-sell conversations. By identifying healthy, value-realising customers, CS teams can time expansion discussions around demonstrated success rather than assumptions.
When health scores start to dip, it’s time to take action. You might introduce targeted training or support to boost product usage, offer incentives for prompt billing, or increase engagement through personalised content. Consider creating a ‘red alert’ system to immediately flag customers with dropping scores, so you can intervene promptly before it's too late.
A customer’s health score should inform the tone, frequency, and content of your communication. For instance, highly engaged customers might appreciate more frequent updates and advanced tips, while low-usage customers might benefit from getting started guides or video tutorials.
Use health scores to customize the level of support provided. Customers with lower scores may require more hands-on support, regular check-ins, and in-depth guidance to resolve issues and enhance their experience.
Use low health scores as an early warning system for churn. Analyse the patterns of these customers to anticipate which customers are at risk and proactively offer solutions.
Trends in health scores can help identify features that customers love, or areas that are causing frustration. These insights can inform product development or process improvements.
As you analyse the impact of your interventions on health scores over time, you'll gain invaluable insights to refine your overall customer success strategy. The goal is not just to improve the numbers, but to genuinely enhance the customer experience and success with your product or service.
Integrating health scores into your Customer Success strategy means using them as a shared decision-making signal across teams. When embedded correctly, health scores guide where to focus effort, when to intervene, and how to align teams around customer outcomes.
Health scores should be accessible to all teams that influence the customer experience, not just Customer Success. This includes Sales, Support, Product, and Marketing.
Teams that understand what health scores represent and how they connect to their role, make decisions that are more coordinated and customer-focused. Shared visibility reduces silos and ensures teams are working toward the same outcomes.
Health scores are most effective when they influence daily workflows.
For example:
In this way, health scores become an operational signal that shapes actions, not just a status indicator.
Beyond daily execution, health scores also inform strategic planning. Trends across accounts can highlight systemic issues or opportunities, such as:
These insights can guide product roadmaps, customer education initiatives, and long-term Customer Success programs.
To integrate health scores effectively, teams need shared expectations and processes. This includes:
Don’t think of health scores as just numbers on a dashboard. Their true purpose is to be strategic signals that help teams stay proactive, prioritise effectively, and drive better customer outcomes as the business scales.
Navigating the world of customer success health scores isn't without its challenges. Here are some common pitfalls and how you can avoid them:
Remember, the health score is just a number. It's what that number represents that really matters: a holistic understanding of your customer's journey. So, don't get too hung up on the score itself, but rather, focus on what's driving it.
While paying attention to low health scores is crucial, don't forget about your highest-scoring customers. There's a lot to learn from what's going right, and these insights can inform strategies to boost scores across the board.
Your health score model should be fluid, changing as your business, customers and market evolve. It's vital to regularly review and adjust your model to ensure it continues to offer accurate, actionable insights.
Health scores can be influenced by where a customer is in their lifecycle. It's important to consider this when interpreting scores and consider setting different parameters for different lifecycle stages. Velaris helps you build custom health scores for each lifecycle stage.
To maintain an effective and dynamic health score system:
Customer Success health scores help teams move from reactive guessing to proactive decision-making by bringing customer signals into a single, actionable view. When designed and used well, they support earlier risk detection, better prioritisation, and more consistent customer outcomes across the lifecycle.
Health scores are, and should be treated as, a valuable strategic tool when embedded into daily workflows, engagement models, and long-term planning.
If you’re looking to operationalise health scores with flexible models, real-time signals, and automation, book a demo of Velaris, a highly rated platform on G2, to see how health scoring can work in practice for your Customer Success team.
It depends. Health scores are most accurate when they reflect leading indicators rather than outcomes. Scores that rely only on renewals or NPS tend to surface risk too late. Accuracy improves when health scores combine behavioral signals, trend analysis, and lifecycle context.
Most teams use a Customer Success platform that combines CRM data, product usage, and support signals. Tools like Velaris unify these inputs and use AI to analyse engagement and sentiment, making health scores easier to calculate and act on without manual spreadsheets.
Health scores should update as frequently as the underlying signals change. For most SaaS teams, this means near real-time or daily updates. Infrequent updates reduce usefulness, as risk often emerges gradually through declining usage or engagement rather than sudden events.
No. Applying a single formula across all customers often creates blind spots. Health score logic should vary by lifecycle stage, segment, or business model. For example, early-stage customers require different success signals than long-tenured or enterprise accounts.
Customer Success typically owns health score definition and interpretation, but effective ownership is shared. CS Ops ensures data quality and consistency, while Sales, Support, and Product teams should understand how scores influence priorities and decisions across the customer lifecycle.
Health scores support decision-making but should not replace human context. They highlight patterns and risks at scale, while CSMs provide nuance based on relationship history, customer goals, and external factors that data alone may not capture.
The Velaris Team
A (our) team with years of experience in Customer Success have come together to redefine CS with Velaris. One platform, limitless Success.