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Insights on churn prevention, customer retention, and SaaS growth.
Gainsight is the dominant enterprise customer success platform, starting around \\$5,000/mo with a full CS suite, AI agents, and acquired products. SCP is a churn prediction engine for founders at $${STARTER_PRICE_DOLLARS}/mo. One requires a CS department and a sales call. The other requires five minutes and a Stripe account. Here is how to choose.
Vitally is an AI-powered customer success workspace for CSMs at mid-market SaaS companies, starting around \\$1,000/mo. SCP is a churn prediction engine for founders at $${STARTER_PRICE_DOLLARS}/mo. One is a workspace for your CS team. The other tells you who is about to leave. Different jobs, different budgets.
ChurnZero is a full customer success platform for teams with dedicated CSMs, starting around \\$1,000/mo. SCP is a churn prediction engine for founders who need to know who is at risk โ at $${STARTER_PRICE_DOLLARS}/mo. One requires a CS department. The other requires five minutes and a Stripe account. Here is how to pick.
Pecan AI is a no-code predictive analytics platform that offers churn prediction as one of many use cases, starting at \$760/mo. SCP is a Stripe-native churn prediction engine starting at $${STARTER_PRICE_DOLLARS}/mo. One requires a data team and SQL skills. The other requires five minutes and a Stripe account. Here is how to pick.
The FTC's largest subscription enforcement action just cost Shutterstock $35 million. The charge: a labyrinthine cancellation process that trapped customers. Here is what this means for every SaaS company โ and why knowing who is about to leave is now a compliance strategy, not just a growth tactic.
FirstDistro is a customer success platform with AI agents, health scores, and CRM integrations starting at $250/mo. SCP is a Stripe-native churn prediction engine starting at $${STARTER_PRICE_DOLLARS}/mo. One is built for CS teams managing accounts. The other is built for founders who need to know who is about to leave. Here is how to pick โ or whether you need both.
ChartMogul tells you what your churn rate was last month. SCP tells you which specific customers are about to leave this month. One is a metrics dashboard. The other is a prediction engine. Here is how to know which one you need โ or whether you need both.
ChurnKey saves customers at the cancellation moment. SCP identifies them weeks before they get there. They solve different problems at different stages โ here is how to know which one you need (or whether you need both).
Customer success platforms tell you what to do with at-risk accounts. Churn prediction tools tell you who's at risk in the first place. Here's why most SaaS companies need both โ and how to know which one to buy first.
Honest comparison of the best churn prediction tools on the market right now. What they actually do, who they're for, and which one fits your stage.
Industry-specific churn rate benchmarks for 2026: what's normal in B2B vs B2C, how SMB and Enterprise churn rates differ, and where your retention stands against industry averages.
Connect your Stripe account to a churn prediction tool and start identifying at-risk customers in 5 minutes. No coding required. Here's exactly what happens when Stripe data meets churn scoring.
Baremetrics shows you what churn rate was last month. SCP tells you which specific customers are at risk right now. Here's the honest comparison of two tools that sound similar but solve completely different problems.
With the FTC reviving click-to-cancel rules and New York City proposing the first municipal-level cancellation regulation, SaaS companies need a new approach to retention โ one that doesn't rely on hiding the cancel button.
Payment failures get attention. But the subtler signals โ login frequency drops, feature abandonment, and support ticket spikes โ are often the earliest indicators of churn.
Most cancellation save emails fail because they try to sell instead of understand. Here's the template that gets a 40% response rate from customers who've already decided to leave.
Involuntary churn from failed payments has the highest save rate of any churn type. Yet most SaaS companies don't have a systematic process for handling it.
The companies with the lowest churn rates don't have better products. They have better processes for detecting and responding to customer risk signals early.
How to calculate the ROI of churn prediction for your SaaS โ and why most ROI calculations significantly underestimate the value of early detection.
Not all metrics matter equally when fighting churn. Here are the five numbers you need to watch every single morning to keep your SaaS healthy and growing.
Failed payments and expired cards quietly drain 5-10% of monthly revenue from most SaaS companies. Here's how to plug the leak with automated dunning, smart retries, and proactive card updates.
Most founders think churn prediction is for enterprise SaaS. But the habits you build before $10k MRR determine whether you hit $100k MRR. Here's why early-stage churn prevention is the highest-leverage investment you can make.
Most SaaS companies lose 60-80% of trial users before they convert. Here's why your trial experience might be driving churn before you even get a paying customer.
A B2B SaaS company reduced monthly churn from 7.2% to 4.3% in three months using three targeted interventions. Here's the exact playbook they used.
Custify is a customer success platform built for CS teams, with health scores, playbooks, onboarding workflows, and lifecycle management. Pricing is not published โ you contact their sales team. SCP is a churn prediction engine at $${STARTER_PRICE_DOLLARS}/mo that connects to Stripe in five minutes. One needs a CSM and a sales call. The other needs a Stripe account. Here is how to decide.
MadKudu pivoted from ML prediction to sales enablement โ their current tagline is "AI that Supercharges Your Sellers." If you are looking for churn prediction, MadKudu no longer offers it. SCP is a churn prediction engine at $${STARTER_PRICE_DOLLARS}/mo with daily risk scores, MRR-at-risk forecasts, and action recommendations. Here is how the two compare now.
ChurnGuard AI is a free open-source Jupyter Notebook for churn prediction with 8 stars on GitHub. SCP is a production SaaS tool with daily risk scores, MRR-at-risk forecasts, and action recommendations at $${STARTER_PRICE_DOLLARS}/mo. One requires you to write Python. The other requires five minutes and a Stripe connection. Here is how they compare.
Free churn prediction notebooks exist on GitHub. But the total cost of running one in production โ compute, data pipelines, maintenance, and your time โ comes to $55-120/mo plus 5-10 hours of setup. SCP runs daily at $${STARTER_PRICE_DOLLARS}/mo with zero infrastructure. Here is the full breakdown.
Planhat is a full customer platform for commercial teams at enterprise SaaS companies, with pricing starting around \\$1,000+/mo. SCP is a churn prediction engine for founders at $${STARTER_PRICE_DOLLARS}/mo. One requires a CS team and a sales call. The other requires five minutes and a Stripe account. Here is how to choose.
Login frequency drops, billing email changes, and payment failure clustering are all early churn signals. Here is what to watch for and how to catch them 2-4 weeks before a customer cancels.
A transparent look at how SaaS Churn Predictor scores every customer 0-100 daily. No black box. Every score is explainable down to the individual signal.
Monthly tips on reducing churn, improving retention, and growing MRR.
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