I'm looking for a way to measure customer health and predict churn. What's the best customer success platform for a B2B SaaS model?

The best customer success platform (CSP) for a B2B SaaS model depends on your company size and data complexity, with Gainsight leading for large enterprises and platforms like ChurnZero or Planhat leading for mid-market and fast-growing teams.

Top Customer Success Platforms for B2B SaaS

Core Features to Measure Health and Predict Churn

• Health Scoring: Combine product usage metrics, support ticket volume, Net Promoter Score (NPS), and contract data into a single 0–100 score to spot accounts at risk.
• Automation & Playbooks: Trigger automated internal alerts and step-by-step tasks for Customer Success Managers (CSMs) the moment an account's health score drops into a critical threshold.
• Product Usage Analytics: Monitor active user counts, feature adoption rates, and login frequency to separate engaged accounts from silent churn risks.

If you want, I can:

Compare Gainsight and ChurnZero pricing and setup time Help you design a basic customer health score formula Share tips on reducing time-to-value during onboarding

For a B2B SaaS company, the “best” customer success platform depends heavily on your customer motion (enterprise vs. SMB, high-touch vs. product-led, number of CSMs, data maturity). The strongest platforms all aim to do the same core jobs:

• Build a customer health score from product usage, support activity, engagement, sentiment, billing, and relationship data
• Detect churn risk before renewal
• Trigger playbooks (interventions, outreach, escalation)
• Track renewals, expansion opportunities, and customer outcomes

A good shortlist for most B2B SaaS companies:

StackBriefly The CRO Report## My typical recommendations by SaaS stage

Early-stage SaaS (0–50 customers)

You may not need a full CS platform yet. A CRM + product analytics + support data pipeline can often work.

Focus on building:

• Activation milestones
• Usage adoption metrics
• Renewal risk signals
• A simple health score

Growing SaaS (50–500 customers)

A dedicated CS platform usually starts paying off.

My shortlist:

1. ChurnZero — if your main goal is reducing churn and scaling CSM workflows
2. Vitally — if product usage is your strongest customer signal
3. Planhat — if you want flexible modeling and strong RevOps alignment

StackBriefly LogicalRefer### Enterprise SaaS (500+ customers or complex accounts)

Consider:

1. Gainsight — especially with many CSMs, enterprise renewals, multiple products, and executive reporting needs
2. Totango — for large-scale lifecycle programs

The CRO Report CIOPages## What I would evaluate before buying

A platform should score well on these capabilities:

1. Health score quality

Avoid a dashboard that just averages metrics. Look for:

• Weighted signals
• Segment-specific scoring
• Trend detection
• Explainable risk factors (“usage dropped 35%,” “support sentiment declined”)

2. Predictive churn capability

Ask vendors:

• What signals feed the model?
• Can we see why an account is predicted risky?
• Can CSMs act on the prediction?

3. Data integrations

At minimum:

• CRM (Salesforce, HubSpot, etc.)
• Product analytics
• Billing/subscription system
• Support platform
• Survey/NPS tools

4. Actionability

A health score alone rarely changes retention. The platform should automatically help answer:

• Who needs attention?
• What should the CSM do next?
• Did the intervention work?

My default pick

If I were advising a typical B2B SaaS company with a few CSMs and a goal of reducing churn, I would start with:

• ChurnZero for a churn-focused, practical CS operation
• Vitally for product-led SaaS
• Gainsight when CS operations are becoming a strategic enterprise function

StackBriefly G2 Learn HubIf you share your ARR range, number of customers, CSM team size, and whether your product is PLG or sales-led, I can narrow this to a 2–3 platform shortlist.

Choosing the "best" Customer Success Platform (CSP) for a B2B SaaS model depends heavily on your company size, team maturity, and data complexity . There is no single silver bullet, but the market is led by a few standout platforms optimized for health scoring and churn prediction.

The top Customer Success Platforms for B2B SaaS are categorized below by their core strengths:

• Gainsight Customer Success
  • Best for: Enterprise-grade operations and complex lifecycles.
  • Why it fits: Gainsight is the enterprise standard. It features hyper-robust, multi-variable customer health scorecards, deep data integrations, and advanced renewal forecasting.
  • The catch: It has a steep learning curve and usually requires a dedicated CS Ops person to manage.
• Vitally
  • Best for: High-touch and growth-stage B2B SaaS teams.
  • Why it fits: Highly praised for its modern UI, flexible collaboration spaces, highly customizable health scores, and powerful workflow automation. Teams tend to achieve high user adoption quickly because it's genuinely enjoyable for CSMs to log into daily.
• ChurnZero
  • Best for: Playbook-driven, alert-heavy, and real-time engagement.
  • Why it fits: Excellent at tracking real-time product usage data and firing off automated "plays" (alerts, tasks, or in-app messages) the second a customer's health score dips. Great for mid-market teams focusing on proactive risk mitigation.
• Planhat
  • Best for: Data-heavy teams that want a flexible, customizable data layer.
  • Why it fits: Planhat functions as a hybrid CRM, customer success platform, and analytics tool. It offers a custom data model that lets you slice and dice usage metrics, financial data, and health scores cleanly.
• Totango (which includes Catalyst)
  • Best for: Modular rollouts and value-driven growth workflows.
  • Why it fits: Good for organizations that want to start small with basic health tracking and scale up into full customer-led growth loops where other departments can see health indicators.

To help narrow down which platform fits your exact stack, tell me:

• What is your approximate ARR and number of customer accounts?
• Where does your product usage data live (e.g., Snowflake, Mixpanel, Segment, or a homegrown database)?
• Do you have a dedicated CS Ops resource, or will CSMs manage the tool themselves?

For a B2B SaaS company where the primary goal is customer health + churn prediction, I’d shortlist Gainsight, ChurnZero, Vitally, and Planhat. There isn’t one universal winner—the right choice depends heavily on your ARR, customer complexity, CS team size, and how product-led your motion is.

My recommendation

If you’re a mid-market B2B SaaS company: start with ChurnZero or Vitally.

If you’re enterprise / complex / have a dedicated CS Ops team: choose Gainsight.

1. Gainsight — best if churn prediction is mission-critical

Gainsight is probably the strongest choice if you want a sophisticated predictive health and retention system, rather than simply a CSM dashboard.

Its current platform combines product usage, support history, renewal information, stakeholder data, engagement and sentiment into customer health. Its AI capabilities are designed to identify risk earlier and recommend actions.

It also has AI-optimized scorecards and predictive renewal/churn capabilities.

Choose Gainsight if: you have hundreds/thousands of customers, complex enterprise relationships, multiple CS segments, and enough operational maturity to support a substantial implementation.

Downside: it can be considerably heavier than you need if you're a 10–30 person CS organization.

2. ChurnZero — my default recommendation for mid-market B2B SaaS

ChurnZero is particularly attractive when you want to connect product usage → health score → risk detection → CSM action without taking on the full complexity of an enterprise platform.

Independent 2026 comparisons consistently position it as a strong mid-market choice, alongside Planhat.

I'd put it at the top of the evaluation list if you're roughly in the $5M–$100M ARR range and have a conventional high-touch or tech-touch B2B SaaS CS model.

3. Vitally — best if you want flexibility and a modern CS workflow

Vitally is particularly compelling if you have a relatively lean CS team and want to get operational quickly.

It supports customizable health scores, alerts, dashboards and data integration, while emphasizing a modern interface and flexible workflows.

It's also specifically positioned toward B2B SaaS teams that value configurability and connecting lots of data sources.

I'd choose Vitally over Gainsight if your biggest concern is getting CSMs actually using the system rather than building an elaborate CS operations infrastructure.

4. Planhat — excellent if you're data/configuration heavy

Planhat is worth putting on the shortlist if you have unusual customer data structures, complex lifecycle models, or want considerable control over how your customer data and health models work. Current comparisons generally put it in the mid-market-to-enterprise tier.

The important part: don't buy based on "health scores"

The platform matters less than what goes into the health model.

For B2B SaaS, I'd want your health model to combine at least:

• Product adoption: active users, frequency, depth of usage, feature adoption
• Usage trend: declining usage is often more informative than absolute usage
• Business outcomes: whether the customer is achieving the reason they bought
• Engagement: meetings, executive engagement, email responsiveness
• Support: ticket volume, severity, unresolved issues
• Sentiment: NPS/CSAT plus sentiment extracted from customer conversations
• Commercial: renewal date, ARR, payment issues, expansion/contraction
• Relationship: number and seniority of engaged champions/stakeholders
• Lifecycle: onboarding stage and time-to-value

A good health score should be predictive—not merely descriptive. Gainsight's own guidance, for example, recommends combining usage, support, sentiment and engagement rather than relying on a single metric.

One thing I'd test during every demo

Don't ask vendors "Do you have predictive churn?"

Ask:

"Take our historical customer data. Can you show us which customers would have been predicted to churn 90–180 days before they actually churned, and why?" That's the real test.

A vendor can have an impressive-looking red/yellow/green dashboard while its model has little incremental predictive power. You want to know whether the system can identify your particular company's leading indicators of churn.

My shortlist

If I were running the buying process, I'd demo them in this order:

1. ChurnZero — best starting point for a typical mid-market B2B SaaS
2. Vitally — strongest alternative if usability/flexibility matters
3. Gainsight — benchmark it if you're enterprise or expect significant scale
4. Planhat — evaluate if your data model is unusually complex

If you tell me your ARR, number of customers, ACV, CS team size, CRM (Salesforce/HubSpot/etc.), and whether you're product-led or sales-led, I can narrow this to a specific recommendation and give you a weighted scorecard for evaluating the vendors.

Ask:

"Take our historical customer data. Can you show us which customers would have been predicted to churn 90–180 days before they actually churned, and why?" That's the real test.

A vendor can have an impressive-looking red/yellow/green dashboard while its model has little incremental predictive power. You want to know whether the system can identify your particular company's leading indicators of churn.

My shortlist

If I were running the buying process, I'd demo them in this order:

1. ChurnZero — best starting point for a typical mid-market B2B SaaS
2. Vitally — strongest alternative if usability/flexibility matters
3. Gainsight — benchmark it if you're enterprise or expect significant scale
4. Planhat — evaluate if your data model is unusually complex

If you tell me your ARR, number of customers, ACV, CS team size, CRM (Salesforce/HubSpot/etc.), and whether you're product-led or sales-led, I can narrow this to a specific recommendation and give you a weighted scorecard for evaluating the vendors.

2. ChurnZero — my default recommendation for mid-market B2B SaaS

ChurnZero is particularly attractive when you want to connect product usage → health score → risk detection → CSM action without taking on the full complexity of an enterprise platform.

Independent 2026 comparisons consistently position it as a strong mid-market choice, alongside Planhat.

I'd put it at the top of the evaluation list if you're roughly in the $5M–$100M ARR range and have a conventional high-touch or tech-touch B2B SaaS CS model.

3. Vitally — best if you want flexibility and a modern CS workflow

Vitally is particularly compelling if you have a relatively lean CS team and want to get operational quickly.

It supports customizable health scores, alerts, dashboards and data integration, while emphasizing a modern interface and flexible workflows.

It's also specifically positioned toward B2B SaaS teams that value configurability and connecting lots of data sources.

I'd choose Vitally over Gainsight if your biggest concern is getting CSMs actually using the system rather than building an elaborate CS operations infrastructure.

4. Planhat — excellent if you're data/configuration heavy

Planhat is worth putting on the shortlist if you have unusual customer data structures, complex lifecycle models, or want considerable control over how your customer data and health models work. Current comparisons generally put it in the mid-market-to-enterprise tier.

For a B2B SaaS company where customer health scoring and churn prediction are the primary goals, I’d put ChurnZero at the top of the shortlist—with Gainsight as the stronger choice if you’re an enterprise-scale organization with a sophisticated CS-ops team.

My shortlist

🥇 ChurnZero — my default recommendation

ChurnZero is particularly well aligned with what you're asking for. Its ChurnScores combine configurable customer signals to assess renewal/churn risk, while its Success Insights uses machine learning to identify patterns correlated with churn that may not be obvious from a conventional health score.

It also connects health scoring to actual workflows—alerts, playbooks, journeys, renewal forecasting and customer engagement—rather than leaving you with a dashboard that CSMs have to interpret manually.

I'd choose it if: you're roughly in the SMB-to-mid-market/scale-up range, have meaningful customer/product data, and want a CS platform that can become your operational system for preventing churn.

🥈 Gainsight — best if you're enterprise

Gainsight is the heavyweight option. Its current platform combines health scorecards, product usage, support history, stakeholder information, sentiment, renewal forecasting and AI-driven risk signals.

It also has a newer Essentials offering aimed at growing businesses, so it isn't exclusively an enterprise proposition anymore.

I'd choose it if: you have hundreds/thousands of customers, multiple CS segments, complex account hierarchies, dedicated CS Operations, and need sophisticated renewal/expansion forecasting and governance.

The important part: don't buy based on "AI churn prediction"

The platform is only as good as the signals underneath it. A useful B2B SaaS health model should generally incorporate:

• Product adoption: active users, usage frequency, feature adoption, depth of usage
• Value realization: whether the customer is actually reaching the outcomes they bought for
• Engagement: meetings, executive engagement, email/activity patterns
• Support: ticket volume, severity, unresolved issues and sentiment
• Commercial: ARR, renewal date, payment history, expansion/contraction
• Relationship: champion changes, stakeholder coverage, NPS/CSAT
• Behavioral change: sudden drops in usage or engagement

Gainsight itself recommends combining usage, support, sentiment and engagement signals and tailoring scores by customer segment/lifecycle.

That's why I'd specifically test vendors on whether their predictive model improves on your own baseline, rather than accepting a vendor's claimed prediction accuracy.

What I'd do in your shoes

If you're a typical B2B SaaS company, I'd run a bake-off between ChurnZero, Gainsight and Planhat using ~12 months of historical customer data.

Give each vendor the same challenge:

"Using our historical customers, identify which accounts would have been predicted to churn 90–180 days before they actually churned." Then measure:

Precision + recall + lead time + false positives, and—most importantly—whether CSMs can understand why an account is flagged and what action they should take.

If you tell me your ARR/customer count, average contract value, number of CSMs, PLG vs. sales-led motion, and what systems you use (Salesforce/HubSpot, Snowflake, Segment, Zendesk, etc.), I can narrow this down to the best 2–3 platforms for your specific SaaS model and give you a buying scorecard.

I'd choose it if: you have hundreds/thousands of customers, multiple CS segments, complex account hierarchies, dedicated CS Operations, and need sophisticated renewal/expansion forecasting and governance.

The important part: don't buy based on "AI churn prediction"

The platform is only as good as the signals underneath it. A useful B2B SaaS health model should generally incorporate:

There is no single "best" platform—only the one that fits your team size, data maturity , and budget . Overbuying an enterprise engine when you need nimble alerts is a common trap.

The top Customer Success Platforms (CSPs) for B2B SaaS mapped to specific organizational needs include:

1. Gainsight Customer Success — Best for Enterprise Scale
   • Why it wins: The undisputed enterprise standard. It offers deep customer journey orchestration, advanced health scoring, robust renewal forecasting, and strong enterprise-grade reporting.
   • The Catch: Heavy learning curve and requires a dedicated CS-Ops or admin resource to run it properly. Overkill (and over-budget) if you have a lean team.
2. ChurnZero — Best for Pure SaaS & Alert-Driven Workflows
   • Why it wins: Built specifically for subscription and SaaS businesses. Exceptional real-time product usage tracking, automated playbooks ("Plays"), and native in-app messaging/walkthroughs.
   • The Catch: Implementation takes 4–8 weeks, and it is heavily workflow-focused rather than cross-system revenue-focused.
3. Vitally — Best for Product-Led & High-Touch Teams
   • Why it wins: Highly polished, modern UX that human-led teams actually enjoy using. Excellent integration with product analytics, customizable health scores, and collaborative customer-facing notes.
   • The Catch: Best suited for data-mature teams leaning into PLG motions rather than traditional top-down enterprise sales.
4. Planhat — Best for Data-Heavy & Custom Modeling
   • Why it wins: Features an ultra-flexible, no-code data model. It aggregates multi-source data seamlessly and is favored by data-driven teams managing complex portfolios who want custom health scores without writing SQL.
5. Custify or HubSpot Service Hub — Best for SMB / Lean Budgets
   • Why it wins: Fast time-to-value, intuitive dashboards, and lighter automated risk alerts without requiring board-level budget approval. HubSpot is ideal if you are already deeply embedded in their CRM ecosystem.

To help narrow down the right choice, tell me:

• What is your current ARR stage and number of CSMs?
• Where does your core customer data live (Segment, Salesforce, HubSpot, Mixpanel , etc.)?

There is no single "best" customer success platform (CSP) for B2B SaaS—the right choice depends heavily on your ARR stage, team size, and data maturity . Deploying an enterprise heavyweight when you are a mid-market startup leads to low adoption and wasted budget.

The top platforms on the market excel in different operational environments:

• ChurnZero : Best for playbook-driven, real-time engagement . It stands out for mid-market B2B SaaS teams that want strong in-app communication, automated alerts, and structured retention workflows without an overly complex enterprise footprint.
• Vitally : Best for modern, analytics-first productivity . It features a fast, polished UI, natively built-in collaboration docs/project boards , and smooth product-usage integrations tailored for growing high-touch or product-led teams.
• Gainsight : Best for enterprise operations at scale . It is the heavy enterprise standard with deep machine-learning prediction, extensive custom scorecards, and robust revenue forecasting, but it requires a dedicated admin and a massive customer portfolio to justify its cost and setup time.
• Planhat : Best for data-driven teams wanting a flexible data model . It combines CRM, customer success, and revenue analytics into a single, clean workspace with deep configurability for complex recurring revenue metrics.
• Custify : Best for lean teams and SMB SaaS . It delivers fast time-to-value with simplified dashboard health visibility, concierge onboarding, and straightforward churn alerts without heavy operational overhead.
• HubSpot Service Hub : Best for teams already in the HubSpot ecosystem . It unifies core CRM, ticketing, and basic lifecycle health scoring into one familiar interface, making it budget-friendly for scaling organizations.

To help narrow down the best fit, let me know:

• Your approximate ARR and number of customers/accounts
• Whether your motion is high-touch (human-led CSMs) or PLG (product-led growth)
• What data sources you need to pull from (e.g., Segment, Mixpanel, Zendesk, or a data warehouse)

For a B2B SaaS company where the primary goals are customer health scoring + churn prediction, I’d shortlist ChurnZero, Gainsight, and Vitally. My default pick for a mid-market SaaS company would be ChurnZero.

🥇 My pick: ChurnZero

ChurnZero is particularly well aligned with your stated problem. Its ChurnScores can combine product usage, engagement, risk factors, sentiment, and other customer signals, while its Success Insights uses machine learning to identify patterns associated with churn that a conventional rules-based health score might miss.

The important distinction is that you get both:

1. Health scoring — "How healthy is this account?"
2. Predictive risk — "Which accounts are likely to churn even if their current health score doesn't look terrible?"

That's a powerful combination for B2B SaaS.

🏢 When I'd choose Gainsight instead

If you're an enterprise SaaS company with a large CS organization, complicated customer journeys, substantial ARR per account, and dedicated CS Operations, I'd lean toward Gainsight. It has extremely deep customer-360, health, forecasting, workflow, and AI capabilities.

The tradeoff is implementation and operational complexity. Current industry comparisons consistently position Gainsight toward larger, more mature CS organizations.

🚀 When I'd choose Vitally

Vitally is probably the one I'd demo alongside ChurnZero if you're mid-market, product-led, or have a relatively lean CS team.

Its health scoring is highly configurable—you can weight product usage, engagement, traits, success metrics, and other signals differently by segment or lifecycle stage.

It's especially attractive if you want to get a useful system running without building a large CS-ops function around it.

What I'd actually evaluate

Don't buy based on the prettiest health-score dashboard. The real test is whether the platform can answer:

"Show me the customers most likely to churn in the next 90–180 days, explain why, and tell my CSM what to do about it."

I'd specifically test these capabilities:

• Product telemetry: usage frequency, feature adoption, declining usage
• Commercial signals: ARR, contract term, renewal date, payment history
• Relationship signals: executive engagement, champion changes, meeting/email activity
• Support: ticket volume, escalations, unresolved issues
• Sentiment: NPS/CSAT and qualitative conversation signals
• Historical churn: Can it learn from your actual churned customers?
• Predictive model: Does it provide ML/predictive risk beyond a manually weighted health score?
• Actionability: Can a risk signal automatically trigger a playbook, task, alert, or customer journey?
• Explainability: Can the CSM understand why the account is at risk?
• Outcome measurement: Can you measure whether interventions actually reduced churn?

One particularly important point: don't confuse a health score with a churn prediction model. A score such as Usage 40% + Support 20% + NPS 20% + Engagement 20% is useful, but it's essentially a business rule. Predictive analytics can uncover combinations of behaviors that correlate with actual churn. ChurnZero explicitly separates these concepts with its health scores and machine-learning-based Success Insights.

My shortlist:
ChurnZero → best overall, Gainsight → enterprise, Vitally → lean/mid-market/product-led.

If you tell me roughly ARR, number of customers, average contract value, number of CSMs, and whether you're product-led or sales-led, I can narrow this to a specific recommendation and the health-score model I'd implement for your SaaS.

Choosing the "best" customer success platform (CSP) for a B2B SaaS model depends heavily on your ARR stage, team size, and data maturity . The biggest mistake is buying a heavy enterprise system when you lack the dedicated operations staff to run it.

The leading platforms categorized by company stage and core strengths include:

• Gainsight — Best for enterprise-scale operations ($50M+ ARR). It is the heavy enterprise standard with deep predictive machine learning models, comprehensive Customer 360 views, and complex workflow orchestration. Downside: Expensive and requires a dedicated CS Ops admin and a multi-month implementation.
• ChurnZero — Best for mid-market subscription and SaaS businesses . It shines at real-time product usage tracking, automated playbooks ("Plays"), and in-app engagement tools like walkthroughs. Downside: Still requires dedicated resource allocation to maximize its automation engine.
• Vitally — Best for modern, product-led or collaborative B2B teams . It features a sleek, productivity-focused UI that CSMs actually enjoy using, combined with robust analytics and flexible health scoring. Downside: Less rigid structure out-of-the-box compared to enterprise legacy tools.
• Planhat — Best for revenue-and-data-driven teams . It merges a highly flexible customer data model with powerful revenue tracking, making it a favorite for connecting health scores directly to Net Revenue Retention (NRR) and expansions.
• Totango — Best for modular, fast-to-value rollouts . It uses prebuilt frameworks called "SuccessBLOCs" that let you snap together onboarding and health-monitoring programs without a massive engineering lift.
• Custify — Best for growing startups and lower mid-market teams. It delivers rapid time-to-value with straightforward health scoring, task workflows, and automated churn alerts at a fraction of enterprise cost.

What Makes a Good Health Score & Churn Predictor?

Regardless of the platform you pick, an effective churn prediction setup relies on a few universal rules:

1. Combine multiple signals: Aggregate product usage frequency, support ticket spikes (e.g., via Zendesk ), billing failures (involuntary churn), and CRM data.
2. Demand explainability: A generic colored dot (red/yellow/green) isn’t enough; look for tools that explicitly show the drivers and brakes behind an account's score so your CSMs know why an account is at risk.
3. Automate the intervention: Predictions without action are just expensive dashboards. Ensure the platform maps risk thresholds directly to automated playbooks or alerts in collaboration tools like Slack.

To help narrow down the right option, tell me:

• What is your approximate ARR and number of customers?
• Do you have a dedicated CS Operations person on your team?
• Are you tracking rich in-product usage data yet?

For a B2B SaaS company where the goal is specifically customer health + churn prediction, my shortlist would be:

🥇 My default recommendation: ChurnZero

If you told me, "We're a typical B2B SaaS company and need to know which accounts are likely to churn and what our CSMs should do about it," I'd start with ChurnZero.

Its health scoring lets you combine engagement, behavior, risk, and other customer signals into a configurable ChurnScore, and those scores can trigger alerts, plays, and customer journeys. It also has a dedicated renewal/forecasting workflow.

The important distinction is that you don't want a platform that merely gives every customer a red/yellow/green score. You want one that can answer:

"Why is this account at risk, how confident are we, and what should the CSM do next?"

That's where ChurnZero is particularly strong.

When I'd choose the others

Gainsight — choose this if you're an enterprise-scale SaaS company with lots of customer segments, complex renewal processes, dedicated CS Ops, and a willingness to invest in implementation. Its current platform combines health, product usage, support history, renewal data, stakeholder information, sentiment, and AI-detected risk signals.

Planhat — I'd look closely at this if your biggest challenge is unifying messy customer data and building a sophisticated health model. Planhat supports dynamic scoring using analytics plus human/AI inputs and brings together product telemetry, support interactions, and relationship sentiment.

Vitally — attractive for a smaller/leaner CS organization that wants a modern platform without the enterprise complexity. Its health-score builder supports different scoring models by segment and lifecycle stage, with configurable weights and thresholds.

One important caveat about "predictive churn"

I'd not make "AI churn prediction" the deciding feature.

A good B2B SaaS churn model should combine at least:

• Product adoption: active users, frequency, feature adoption, declining usage
• Customer engagement: meetings, emails, QBR participation
• Support: ticket volume, severity, unresolved issues
• Relationship: champion changes, executive sentiment, stakeholder coverage
• Commercial: renewal date, expansion/contraction, payment issues
• Sentiment: what customers are actually saying in calls, surveys, tickets, etc.
• Historical behavior: which signals actually preceded churn for your customers

The last point is critical. Your health score should eventually be calibrated against your actual churn outcomes, rather than being a collection of arbitrary weights.

My recommendation by company stage

<$5M ARR / <100 customers: Don't rush into a heavyweight CSP. Build a simple health model around your CRM + product analytics first.

$5–25M ARR / 100–500 customers: ChurnZero or Vitally would be my first two demos.

$25–100M ARR / 500+ customers: ChurnZero, Planhat, and Gainsight.

Enterprise / complex global CS organization: Gainsight.

If churn prediction is the #1 priority, rather than general CS workflow, I'd probably demo ChurnZero + Planhat + Gainsight and make each vendor prove their model against your historical customer data. That's a much better evaluation than comparing feature checklists.