Instead of waiting for customers to churn, use AI to monitor key engagement metrics in real time (e.g., portal logins, link clicks). When a user shows signs of disengagement, trigger a personalized, automated nudge via SMS or email to get them back on track before they are lost.

AI can analyze a customer's support history to predict their behavior. For instance, if a customer consistently calls about shipping delays, an AI agent can proactively contact them with an update before they reach out, transforming a reactive, negative interaction into a positive customer experience.

When a customer cancels, don't just offer a discount. Create a capture system that presents tailored solutions based on their stated reason—offer a plan downgrade for cost issues, a 15-minute setup call for confusion, or a feature workaround if something is missing. This preserves value while solving the root problem.

When employees are 'too busy' to learn AI, don't just schedule more training. Instead, identify their most time-consuming task and build a specific AI tool (like a custom GPT) to solve it. This proves AI's value by giving them back time, creating the bandwidth and motivation needed for deeper learning.

The current AI hype cycle can create misleading top-of-funnel metrics. The only companies that will survive are those demonstrating strong, above-benchmark user and revenue retention. It has become the ultimate litmus test for whether a product provides real, lasting value beyond the initial curiosity.

Instead of a broad onboarding, focus the entire initial user experience on achieving one specific, "brag-worthy" value event as quickly as possible. Structure this as a sprint: define the event, remove all friction, design a "click, click, value" path, and use alerts to nudge users along to that singular 'win'.

Standard questions like 'What's your biggest pain point?' often yield poor results. Reframing the question to what work a customer would offload to a new hire bypasses their pride or inability to articulate problems, revealing the tedious, high-value tasks ripe for automation.

Adopt a 'more intelligent, more human' framework. For every process made more intelligent through AI automation, strategically reinvest the freed-up human capacity into higher-touch, more personalized customer activities. This creates a balanced system that enhances both efficiency and relationships.

Move beyond simple product usage for retention. Design a clear "adoption ladder" with defined milestones that encourages customers to deepen their relationship with your brand—progressing from user, to community participant, to podcast guest, and even to business partner. This creates immense stickiness and fosters evangelism.