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4 Ways to Use AI to Boost Customer Retention

Uncover how AI can boost customer retention with predictive insights, automated workflows, and personalized engagement strategies.

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Customer retention is an ongoing priority for Customer Success Managers (CSMs), but keeping up with a large, diverse customer base isn’t easy. With high turnover rates and rising expectations, the pressure is on to maintain strong, ongoing relationships with customers who are constantly evaluating their options. 

For CSMs managing multiple accounts, manually tracking engagement and anticipating each customer’s needs can be both exhausting and inefficient.

This is where AI can make a real difference. By using AI, CSMs can shift from a reactive approach to a proactive one, equipped with insights that help spot potential risks, automate engagement processes, and personalize communication based on each customer’s unique behavior. 

In this blog, we’ll explore how AI can support you in keeping customers engaged, identifying retention risks early, and optimizing your time for more impactful work – all without adding unnecessary complexity. 

1. Enhancing customer understanding with AI-powered data insights

One of the most valuable ways AI supports CSMs is by simplifying how we understand and track customer health. Rather than sifting through spreadsheets or multiple reports, AI tools analyze large datasets to highlight patterns in customer behavior, satisfaction levels, and engagement trends. 

Predictive analytics

With AI-powered data insights, CSMs can see what’s going well with accounts and spot areas of potential risk – often before these issues surface. A key component of this is predictive analytics. 

By analyzing historical data, AI can identify early signals that may indicate potential churn. These signals could be anything from decreased platform usage to slower support response times, and when identified early, they give CSMs the opportunity to act before it’s too late. 

Customer communications insights

AI enhances your understanding of customers by providing actionable insights from customer data, helping you identify what matters most to each account. 

AI-powered tools analyze behavioral data, satisfaction levels, and engagement trends to uncover patterns that might otherwise go unnoticed. For instance, AI tools can highlight which features a customer frequently uses or flag reduced engagement. Velaris adds another layer of value with its trending topics feature, which analyzes customer tickets and messages, and identifies common challenges, recurring product questions, or feature requests. 

These insights empower CSMs to craft communication that addresses specific customer concerns, like sharing targeted resources, offering solutions, or suggesting product tips that align with customer needs.

Sentiment analysis

AI can also help CSMs gauge customer satisfaction through sentiment analysis. Velaris’ sentiment analysis feature, for instance, flags emails or chat transcripts with positive or negative sentiments. This quick and intuitive labelling system can help CSMs identify potential concerns of each individual customer early. 

Thus, by understanding sentiment, CSMs can prioritize responses to the customers most in need of attention, and ensure issues don’t go unaddressed.

2. Personalizing communication to keep customers engaged

Keeping communication relevant and timely is essential for CSMs aiming to reduce churn. With AI, this becomes easier. AI allows CSMs to tailor communication to suit each customer’s unique needs and preferences, which helps customers feel understood and valued – a key factor in retention.

Automated messaging 

By automating personalized messaging, AI allows CSMs to scale meaningful engagement without the burden of manual follow-ups or one-size-fits-all messaging.

Further, AI-driven personalization can analyze customer behavior to recommend the right content or communication style for each customer.

For example, automated email sequences allow CSMs to set up time-based or trigger-based messages so customers receive updates, tips, or reminders exactly when they’re most relevant. 

AI-assisted content

Crafting unique, relevant communication for every account—whether it’s for a quick update, a QBR follow-up, or an EBR invitation—can quickly become overwhelming.

AI-powered tools, like Velaris’ AI writing assistant can help generate personalized emails, responses and meeting invites. The writing assistant allows you to customize tone and messaging style, ensuring communication aligns with your brand voice while resonating with the customer’s needs.

By automating repetitive writing tasks, CSMs save time and ensure consistent, high-quality communication. 

3. Proactive retention strategies through AI-driven alerts and predictions

For CSMs, preventing churn is much easier when they can address risks early. AI can help CSMs adopt a proactive approach to retention by continuously monitoring customer behavior, flagging any signs that might indicate a customer is at risk. This allows intervention with relevant and timely solutions.

Predictive retention models

Predictive retention models are highly effective in forecasting issues that may arise in the future. These AI-driven algorithms analyze historical data, usage trends, and support interactions to assess the likelihood of churn for each account. When a model identifies disengagement patterns, such as a sudden drop in product usage or a spike in support tickets, it notifies CSMs. 

For example, Velaris’ predictive analytics feature can alert CSMs to potential risks, allowing them to reach out to customers with personalized support or resources that address their specific concerns.

Health Monitoring

AI-powered health monitoring systems track customer interactions in real time. Unlike manual review, the AI algorithm can spot even minor details among large data sets. 

The AI can then trigger alerts when negative patterns appear, like reduced logins or a rise in support requests. This allows rapid action by CSMs before the problem escalates. 

4. Streamlining repetitive tasks so CSMs can focus on strategic retention efforts

For CSMs, handling repetitive tasks can consume valuable time that could be better spent building relationships and strategizing. AI can be used to solve this dilemma, allowing CSMs to focus on activities directly impacting customer retention. 

Workflow automation

From scheduling follow-ups to updating customer records and sending routine updates, AI can streamline these essential but time-consuming activities.

By automating routine workflows, AI helps ensure consistency across customer interactions. This feature ensures that no step in the engagement process is missed, providing customers with a reliable experience while reducing manual effort.

AI Playbooks

In addition to workflow automation, AI-powered playbooks can standardize processes for specific retention-related actions, like onboarding or quarterly check-ins. Velaris’ playbooks include structured checklists that guide CSMs through each step, ensuring a consistent, positive experience for every customer. 

These standardized workflows reduce variability and ensure best practices are followed across the team. As CSMs shift more routine tasks to automation, they gain the freedom to dive deeper into strategic initiatives. 

AI Meeting Notes and Summaries

Capturing and organizing meeting notes is essential but often time-consuming. AI tools tl;dv like can simplify this process by automatically transcribing meetings, extracting key points, and summarizing actionable items. 

By automating meeting documentation, CSMs save time, reduce administrative work, and ensure accurate records, allowing them to focus more on strategic activities that directly impact retention.

Conclusion

By integrating AI into their workflow, CSMs can better understand customer behavior, automate routine tasks, and anticipate potential churn, allowing for more targeted, meaningful interactions with each account. 

Additionally, AI’s ability to centralize data from various departments ensures that every team is working with a complete view of the customer journey, enhancing the effectiveness of retention strategies.

From predictive analytics to automated workflows and unified data sharing, Velaris provides a comprehensive toolkit equipped with the AI capabilities covered in this blog. 

If reducing churn and creating more impactful engagements sounds valuable to you, book a demo today to see how Velaris can support your team’s retention goals.

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