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?

If your main goal is customer health + early churn prediction in B2B SaaS, I’d shortlist ChurnZero, Gainsight, Vitally, and Planhat. There isn’t one universal winner—the best choice depends heavily on your customer count, ACV, CS team size, and how sophisticated your data/ops are.

My recommendation

For most growing B2B SaaS companies: start with ChurnZero.

Its biggest advantage for your use case is that health scoring is tightly connected to actual retention workflows. ChurnZero can combine engagement, behavior, risk, satisfaction, and other signals into ChurnScores, then trigger alerts/actions when those signals deteriorate.

When I'd pick each

ChurnZero — my default recommendation. Especially good if you want CSMs to act on the score rather than simply look at a dashboard. It supports customizable health models and combines behavioral, engagement, sentiment, and other customer signals.

Gainsight — if you're enterprise-scale. Gainsight is the heavyweight option. Its health model can incorporate things like support cases, engagement, adoption, sentiment, deployment, and renewal information. Gainsight Software I'd favor it when you have a substantial CS Ops function and complex enterprise processes.

Vitally — if you want flexibility without as much enterprise machinery. Its health-score system lets you create multiple scores, use weighted inputs, and change scoring by customer segment or lifecycle stage. Scores are calculated hourly. Vitally Help Center Vitally This makes it particularly attractive for a SaaS company whose CS model is still evolving.

Planhat — if your data model is unusually complex. Planhat's current platform emphasizes time-series customer data and dynamically combining analytics, human input, and AI. That makes it interesting if you want to go beyond a conventional red/yellow/green health score toward a more predictive customer model.

One important caveat

Don't make the mistake of treating the vendor's default "health score" as your churn prediction model.

For a B2B SaaS company, I'd want your model to incorporate at least:

• Product adoption: active users, frequency, depth of usage, key-feature adoption
• Usage trajectory: declining usage is often more informative than absolute usage
• Business value: whether the customer is achieving the outcome they bought you for
• Engagement: meetings, emails, executive engagement, responsiveness
• Support: ticket volume, severity, escalations, unresolved issues
• Relationship: NPS/CSAT, sentiment, champion strength
• Commercial: renewal date, contract value, payment issues, expansion/contraction
• Customer characteristics: segment, industry, company size, tenure

And I'd actually maintain two models:

1. Churn-risk score — "How likely is this account to churn?"
2. CS action score — "What can my CSM do about it right now?"

Planhat makes this distinction explicitly: predictive factors such as industry or contract size can improve churn prediction but aren't necessarily actionable, while things like declining usage or low NPS are much more actionable.

If you tell me your approximate customer count, ACV (e.g. $10K vs $100K+), CSM team size, and whether you're product-led or sales-led, I can narrow this down to 1–2 platforms and give you a recommended health-score architecture.

ChurnZero — my default recommendation. Especially good if you want CSMs to act on the score rather than simply look at a dashboard. It supports customizable health models and combines behavioral, engagement, sentiment, and other customer signals.

Gainsight — if you're enterprise-scale. Gainsight is the heavyweight option. Its health model can incorporate things like support cases, engagement, adoption, sentiment, deployment, and renewal information. Gainsight Software I'd favor it when you have a substantial CS Ops function and complex enterprise processes.

Vitally — if you want flexibility without as much enterprise machinery. Its health-score system lets you create multiple scores, use weighted inputs, and change scoring by customer segment or lifecycle stage. Scores are calculated hourly. docs.vitally.io vitally.io This makes it particularly attractive for a SaaS company whose CS model is still evolving.

Planhat — if your data model is unusually complex. Planhat's current platform emphasizes time-series customer data and dynamically combining analytics, human input, and AI. That makes it interesting if you want to go beyond a conventional red/yellow/green health score toward a more predictive customer model.

One important caveat

Finding the "best" customer success platform (CSP) for a B2B SaaS model depends heavily on your company size, team bandwidth , and complexity of data . There is no single universal winner, but rather a few elite platforms tailored to specific operational styles.

The top customer success platforms on the market excel in distinct categories for tracking customer health and predicting churn:

• Gainsight Customer Success: Best for Enterprise Scale. It is the heavyweight industry standard. It offers immensely powerful, deep health-scoring engines, robust analytics, and cross-functional visibility. However, it requires a dedicated CS operations admin and a significant implementation runway.
• Vitally: Best for Modern UX and Productivity. Highly favored by high-touch B2B SaaS teams. It stands out for its fast deployment, gorgeous and intuitive interface, customizable health scores, and robust collaboration features that CSMs actually enjoy using daily.
• ChurnZero: Best for Automation & Real-Time Churn Triggers. Exceptional for mid-market teams focused on automated "plays", in-app engagement tracking, and real-time alerts. If your churn prediction relies heavily on tracking exact product usage behaviors and triggering immediate workflows, ChurnZero shines.
• Planhat: Best for a Revenue-First Lens. Excellent for data-driven teams that want to merge operational health scoring directly with Net Revenue Retention (NRR), renewals, and financial metrics in a clean, flexible layout.
• Custify: Best for Smarter, Leaner Mid-Market Teams. Highly rated for ease-of-use and proactive churn prevention, tailored for teams that want powerful automation without enterprise-level bloat or cost.

Key Features to Evaluate for Health Scoring & Churn

When demoing these platforms, focus your evaluation on:

1. Data Integration: How easily does it pull product telemetry data (from Segment, Mixpanel, or your data warehouse) alongside CRM data (HubSpot/Salesforce)?
2. Actionability: Does the health score just give you a red/yellow/green color, or does it tell the CSM why it dropped and automatically trigger a playbook to fix it?
3. Time-to-Value: Can your team implement and launch it in weeks, or will it require a 6-month professional services deployment?

To help narrow down the ideal platform, tell me:

• What is your approximate ARR and number of customer accounts?
• Is your product usage data mature and centralized (e.g., in a data warehouse or segment), or mostly tracked via CRM?
• Do you have a dedicated CS Ops person , or will CSMs manage the tool themselves?

When it comes to measuring customer health and predicting churn for a B2B SaaS model, there is no single "best" platform—rather, there is a best fit for your team’s size, operational maturity, and complexity of data.

The top Customer Success Platforms (CSPs) on the market cater to distinct operational styles:

• Gainsight: The enterprise standard. It is immensely powerful, highly customizable, and deep on analytics, but it requires a dedicated admin and heavy configuration. Best for large-scale enterprise CS operations.
• Vitally: A modern, productivity-focused workspace with a stellar UI. It excels at customizable health scores, collaboration, and data integration without feeling bloated. Best for high-touch and product-led B2B SaaS teams that want a clean user experience.
• ChurnZero: Renowned for its robust real-time automation engine ("Plays") and in-app engagement tracking. It shines at alerting your team the moment a customer's usage drops or a milestone is missed, making it ideal for playbook-driven mid-market teams.
• Planhat: A highly flexible, data-driven platform combining a CSP, CRM, and billing/revenue workflows with a custom data model. Great for teams that want deep visibility into commercial metrics alongside customer health.
• Custify or ClientSuccess: Excellent, streamlined options if you are a smaller or mid-market team looking for fast time-to-value and straightforward health-scoring without an enterprise learning curve.

What to Look for in Churn Prediction & Health Scoring

Regardless of which platform you choose, an effective health score and churn-prediction setup requires:

1. Multi-dimensional data intake: Combining product usage telemetry (login frequency, core feature adoption) with relationship data (support ticket volume, NPS/CSAT, executive sponsorship changes).
2. Explainable signals: Avoid black-box AI scores that don't tell you why an account is unhealthy. Look for tools that let you explicitly weight behaviors that precede renewals or cancellations.
3. Actionable automation: A health score is only as good as the playbook it triggers. Ensure the platform can automatically alert a CSM or spin up a task when an account transitions from "healthy" to "at-risk."

If you can share:

• Your approximate ARR and number of customers
• Whether your motion is high-touch, low-touch/PLG, or a hybrid
• Your current tech stack (CRM, product analytics like Mixpanel/Segment, support desk)

I can recommend the exact platform that will fit your workflow best.

For a B2B SaaS company where the priorities are customer health + early churn prediction, my shortlist would be:

1. Gainsight — best overall / enterprise
2. ChurnZero — best for churn-focused CS teams
3. Vitally — best for a modern, mid-market SaaS team
4. Planhat — best for flexible data/health modeling

My recommendation: Vitally vs. Gainsight

If you're a mid-market B2B SaaS company, I'd start with Vitally. Its health scoring is unusually flexible: you can combine product usage, support activity, surveys, customer attributes, success metrics, etc., and create different scoring models by segment or lifecycle stage. Scores can then trigger workflows when they deteriorate.

It also ingests product events and turns usage data directly into health and risk signals, which is particularly important for SaaS churn prediction.

If you're enterprise-scale or have a sophisticated CS organization, I'd choose Gainsight. It has the deepest customer-success operating model of the group, including AI-enriched health scoring, risk detection, renewal forecasting, playbooks, and customer-360 data.

How I'd compare them

ChurnZero is particularly compelling if churn prediction is the primary objective. Its ChurnScores can combine engagement, behavior, risks and other factors to estimate renewal/churn likelihood, while its newer AI capabilities incorporate sentiment and engagement patterns.

Planhat is worth putting into the evaluation if you have unusual customer-data requirements: it supports dynamically scored health using analytics, human input and AI, and automatically captures interactions such as transcripts, emails and tickets.

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 model to combine at least:

• Product adoption: active users, frequency, feature adoption, declining usage
• Value realization: whether the customer is achieving the outcomes they bought for
• Engagement: meetings, email responsiveness, executive engagement
• Support: ticket volume, severity, escalations and unresolved issues
• Commercial: ARR, renewal date, payment behavior, expansion/contraction
• Relationship: champion changes, sentiment, NPS/CSAT
• Lifecycle: onboarding stage, tenure, implementation status
• Historical behavior: signals that preceded previous churn

And critically, I'd want the system to tell your CSM why an account is unhealthy—not just give it a red/yellow/green score.

For example:

Churn risk: 78% ↓ Weekly active users 34% over 60 days ↓ Core feature adoption 21% ⚠ Champion left company ⚠ 3 unresolved P1/P2 tickets Renewal in 94 days Recommended play: Executive re-engagement + adoption intervention That's much more valuable than "Health = 42."

If you tell me your approximate ARR/customer count, average contract value, number of CSMs, and whether you're product-led or sales-led, I can narrow this down to the best 2–3 platforms and tell you what I'd buy.

For a B2B SaaS company where the primary goals are customer health scoring + early churn prediction, I’d shortlist Gainsight, ChurnZero, Vitally, and Planhat. There isn’t one universal winner—the right choice depends heavily on your customer count, ACV, CS team size, and how sophisticated your data/CS operations are.

My ranking

🥇 My pick: ChurnZero

If you gave me no other information about your company, I'd start with ChurnZero.

Its ChurnScores can combine engagement, behavior, risk, and other customer signals, then trigger alerts, plays, and journeys when health deteriorates. It also has dedicated renewal forecasting functionality.

That combination matters because you don't really want a platform that merely tells you:

"Customer health = 62." You want:

"Customer health fell from 78 → 62 because weekly active users dropped 35%, the champion hasn't engaged in 45 days, and two support escalations occurred. Renewal is in 90 days. Start the adoption-risk play." That's the level at which a CS platform becomes genuinely useful.

🥈 Vitally — especially compelling for a leaner CS team

I'd strongly consider Vitally if you're a modern/product-led B2B SaaS company and want to build your own health model without a huge CS-ops project.

Vitally lets you create multiple health scores, weight different inputs, and create different scoring models by segment or lifecycle stage. Health changes can trigger automated workflows.

For example:

Overall Health =

• 30% product adoption
• 20% feature adoption
• 15% executive engagement
• 15% support health
• 10% NPS/sentiment
• 10% commercial/renewal factors

Then I'd create separate models for SMB, mid-market, and enterprise rather than forcing every customer through the same formula.

🏢 Gainsight — if you're enterprise-scale

If you have hundreds/thousands of customers, multiple CS teams, complex renewals, dedicated CS Ops, and significant executive reporting requirements, Gainsight is probably the strongest choice.

Its current platform goes beyond traditional health scores, incorporating product usage, support history, renewal timelines, stakeholder information, sentiment, and AI-generated risk signals.

The tradeoff is implementation complexity. It's the platform I'd choose when you're building a CS operating system, rather than simply trying to solve churn visibility.

The important part: don't make the health score your prediction model

This is where I'd be careful.

A manually weighted health score is useful for operationalizing risk, but it isn't necessarily a statistically valid churn prediction.

I'd ideally have two layers:

1. Health score — "How healthy is this account?"

Based on:

• Product adoption
• Breadth/depth of feature usage
• Usage trend
• Support activity
• NPS/CSAT
• Stakeholder engagement
• CSM activity
• Success-plan progress
• Payment/billing signals

2. Churn propensity — "How likely is this account to churn?"

Based on historical outcomes and behavioral patterns, ideally incorporating:

• Changes in usage rather than just absolute usage
• Cohort/segment benchmarks
• Time since last meaningful activity
• Number of active users vs. purchased seats
• Champion changes
• Support escalation patterns
• Contract/renewal timing
• Expansion/contraction history

Gainsight and ChurnZero are particularly interesting if predictive retention is a major objective; ChurnZero explicitly positions its health/ChurnScore system around predicting renewal/churn risk, while Gainsight now emphasizes AI-driven risk detection and renewal forecasting.

What I'd choose by company stage

• <100 customers / <$1M ARR: Don't rush into an expensive CSP. Get your data model and health methodology right first.
• 100–500 customers / $1M–$10M ARR: Vitally or ChurnZero.
• 500–2,000+ customers: ChurnZero or Planhat.
• Large enterprise CS organization: Gainsight.
• Highly product-led / usage-driven SaaS: Vitally deserves a particularly close look.

One other point: data quality is more important than the CSP itself. A beautiful health dashboard fed by incomplete product telemetry, CRM data, and billing data will produce false confidence. Your CSP should sit on top of your product analytics, CRM, support, and billing systems—not become a second CRM or source of truth.

If you tell me your approximate ARR, number of customers, ACV, CS team size, and whether you're product-led or sales-led, I can narrow this down to the best 2 platforms and give you a feature-by-feature comparison—including what I'd use for the actual churn model.

1. Health score — "How healthy is this account?"

Based on:

I'd strongly consider Vitally if you're a modern/product-led B2B SaaS company and want to build your own health model without a huge CS-ops project.

Vitally lets you create multiple health scores, weight different inputs, and create different scoring models by segment or lifecycle stage. Health changes can trigger automated workflows.

For example:

Overall Health =

For a B2B SaaS model, Gainsight, ChurnZero , and Planhat are widely considered the best customer success platforms for measuring health scores and predicting churn, with the ideal choice depending heavily on your company size and data maturity.

A reliable customer health score combines product usage metrics (login frequency, core feature adoption), support patterns (ticket volume, resolution times), relationship quality (QBR attendance), and financial health (contract terms, payment status).

Top Customer Success Platforms for B2B SaaS

Core Pillars of Churn Prediction

1. Product Usage Telemetry : Tracking active usage and depth of feature adoption rather than just superficial logins.
2. Automated Playbooks : Triggering alerts and workflows for Customer Success Managers (CSMs) the moment a customer health score dips into an at-risk threshold.
3. Unified Data Integration : Pulling data cleanly from your CRM (HubSpot or Salesforce ), billing tools (Stripe ), and product analytics.

To help narrow down the best fit, could you share:

• What is your approximate team size or Annual Recurring Revenue (ARR) range?
• Which CRM and product analytics tools are currently in your tech stack?

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.