Every platform here promises to stop churn. Only one tells you how many days of warning you get.
- GainTrace is the only one of the nine that publishes a warning window: 45 days before renewal. It refreshes four times a day, sets up in about a week, needs no administrator, and costs about $1,200 a year.
- Gainsight documents the most detailed model. It names its algorithm and its inputs, which no one else does. It does not publish a warning window, costs around $50,000 a year, and takes 6 to 26 weeks to install.
- The loudest claims have the least behind them. Custify's own FAQ asks "Can Custify AI predict churn?" and answers "Yes!" Velaris leads with "Predict churn and expansion with AI-enriched intelligence." Neither publishes a model, an input list, or a warning window.
- Three vendors do not claim prediction at all. Vitally, ClientSuccess and Planhat sell health scoring and say so plainly. That honesty counts for something.
If you only check one thing before you buy, check whether the vendor will put a number of days in writing. Eight of nine currently will not.
The one number that decides this
Before the table, here is the test this page applies, so you can see the reasoning rather than just the ranking.
A warning window is the number of days between the software flagging an account and that account's renewal date. It is the only spec that determines whether you can actually do anything.
Work backwards from a renewal you are about to lose. Saving it usually takes an executive conversation, a plan to fix whatever went wrong, sometimes a discount, and internal sign-off on whatever you offered. In practice that is three to six weeks, assuming nobody drags their feet.
So:
- A flag 45 days out gives you room to run that.
- A flag 14 days out does not. You are negotiating a discount, not saving an account.
- A score that turns red in renewal week is a report on something you already lost.
Everything else in this category is negotiable. Dashboards, integrations, AI branding, all of it. The warning window is the one number that changes whether the product works.
For each of the nine platforms we recorded four things, taken from what the vendor publishes itself:
- The prediction claim in its marketing, quoted word for word
- Whether it names a model anywhere in its documentation
- Whether it publishes a warning window as a number of days
- What the product actually gives you: a score, an alert, or a probability
Where a vendor publishes nothing, this page says "not published" rather than guessing.
The scoreboard
| PLATFORMS | WARNING WINDOW | NAMES A MODEL | MARKETING PREDICTION CLAIM | WHAT YOU GET | COST/YR |
|---|---|---|---|---|---|
| GainTrace | 45 days, published | No. Lists 5 data sources | Multi-signal churn prediction | Risk score, with history | ~$1,200 |
| Gainsight | Not published | Yes. Explainable Boosting Machines | "Predict churn and address risk" | Renewal probability | ~$50,000 |
| ChurnZero | Not published | No. Says machine learning, unnamed | "confidently predict retention and growth" | ChurnScore | ~$44,700 |
| Custify | Not published | No | "Can Custify AI predict churn? Yes!" | Health score and risk flag | ~$16,800 |
| Velaris | Not published | No | "Predict churn and expansion with AI-enriched intelligence" | Risk alerts | ~$20,000 |
| Totango, now Odie | Not published | No public spec | AI-driven churn intelligence | Churn risk score | ~$66,200 |
| Planhat | No claim | n/a | None. "Dynamically score health" | Health score | ~$41,300 |
| ClientSuccess | No claim | n/a | None. "SuccessScore Customer Health" | Health score | ~$19,500 |
| Vitally | No claim | n/a | None at all | Health score | ~$34,000 |
Read the first two columns together. One platform publishes a warning window. A different one names a model. Nobody does both. That gap is the whole state of this market in 2026.
When the score drops, how long do you have?
That is the question these products exist to answer, and most of them cannot.
The difference between a health score and a prediction is covered in our health score comparison. What matters for buying is simpler: runway.
If a vendor cannot tell you how many days of notice its output gives you, then a falling score is just a notification. You still find out too late, only now with nicer charts. That is exactly how teams end up surprised at the renewal call, which we cover in why SaaS customers cancel in the first 90 days.
Three vendors here sell scoring and call it scoring. Four sell prediction and document scoring. One documents a model. One publishes a window.
Publishes a warning window
GainTrace
The only platform of the nine that tells you how many days of notice you get.
This is our product, so hold it to the same standard as everything else on this page. Here is exactly what we publish.
GainTrace flags churn risk up to 45 days before the renewal date. It reads five named sources: CRM activity through Salesforce or HubSpot, product usage through Mixpanel or PostHog, billing events through Stripe or Chargebee, support ticket patterns, and survey and NPS responses.
The score refreshes every six hours, so four times a day. Each refresh is saved with its own date instead of replacing the last one, which means you can look back and see whether an account has been sliding for three weeks or just had one bad Tuesday. Most tools only show you today's number, so a score of 62 tells you nothing about whether it was 48 last month or 79.
The product page also carries a section on explaining its predictions and keeping the underlying data honest, so you can see which signals moved a score rather than just the score itself.
What it costs. $99 a month for 100 companies, every feature included, unlimited seats. That works out to about $1,200 a year. Setup averages 7 days and needs no engineering help and no dedicated administrator. There is a 14-day free trial with no credit card, which is the only trial among the nine you can start without booking a sales call.
Where we are genuinely weaker. We do not name our algorithm. Gainsight does, and if a named, auditable model is a requirement for you, that is a real point against us and you should weigh it honestly. We also do not build custom models on your historical data the way Totango's services team will.
More detail on how GainTrace predicts churn.
Publishes a model, but not a warning window
Gainsight
The most thoroughly documented model in the category. No published warning window.
Credit where it is due: Gainsight's documentation is far ahead of everyone else's here, and its marketing is more restrained than its competitors'. Its pages say "Predict churn and address risk" and "Spot the warning signs before renewal day," which is calmer than what Custify and Velaris promise.
Gainsight publishes that Renewal Center calculates its data science scores with an Explainable Boosting Machines model, dropping to a Bayesian model when there are fewer than 50 records. It names input variables including surveys sent in the last six months, Calls to Action closed in the last six months, and open CTAs. It builds separate models for each scorecard and for each opportunity type across upsell, downsell and renewal. The output is a probability that the account renews.
One thing to read carefully. Gainsight documents building separate models for renewal opportunities with a "prediction period" of four months or less versus more than four months. That is easy to mistake for a warning window, and it is not one. It describes which model gets used depending on how far out the renewal sits. It does not tell you how much notice you get when an account starts going wrong. As far as we can find, Gainsight publishes no warning window anywhere.
What it costs you. Around $50,000 a year, plus 6 to 26 weeks to implement, plus a dedicated administrator. Scores recalculate once a night, at 23:59 UTC, so if a champion resigns on Tuesday morning you hear about it Wednesday. Full detail in our Gainsight pricing analysis and Gainsight alternatives.
Who should still buy it. Large teams built around Salesforce, with a renewals desk and someone whose job is running the platform. If you have that, Gainsight's model is the most rigorous option available and this page will not pretend otherwise. If you do not, you are buying a nightly score, a six-month install and a headcount.
Claims prediction, publishes no specification
These four market predictive ability. None publishes a model, an input list, or a warning window. That does not prove the capability is missing. It means you cannot check it before you pay, and you should price that risk in.
ChurnZero
The most specific of the four, and still short of a specification.
ChurnZero leads with "Fight Churn with AI-Powered Customer Success Software," and its renewal page says it helps teams "confidently predict retention and growth." The one technical line it publishes is: "Powered by machine learning, Success Insights analyzes historical customer data to identify at-risk accounts and factors for risk."
Machine learning is claimed. The algorithm is not named, the inputs are not listed, no warning window is given, and no accuracy figure appears anywhere.
Its ChurnScore is documented in more depth, built from product usage, support history, team feedback, satisfaction and a risk rating, with advice to use five to seven weighted factors. That is solid health scoring documentation. It is not prediction documentation.
Around $44,700 a year, 4 to 6 weeks to install. See ChurnZero pricing and ChurnZero alternatives.
Custify
The boldest claim on this page, in the vendor's own words.
Custify's site asks the question directly and answers it: "Can Custify AI predict churn? Yes! Custify AI brings built-in customer churn analysis and sentiment tracking straight to your dashboards." Elsewhere: "Spot Churn Signals Early, Act Fast" and "Customer health tracked, churn risk flagged, agentic AI actions triggered."
A flat yes to a direct question about prediction. Behind it: no model, no inputs, no warning window, no accuracy figure.
One capability does deserve credit. Custify says its AI reads tone and risk in customer emails and messages. Reading actual conversations is rarer than reading usage data, and it genuinely helps teams whose first warning is a change in tone rather than a drop in logins.
Around $16,800 a year, 4 to 8 weeks. See Custify pricing.
Velaris
"Predict churn and expansion with AI-enriched intelligence." Also: "Catch churn and expansion signals early" and "Identify signals that may indicate churn risk."
Look at the hedge tucked inside that last one: signals that may indicate churn risk. That is signal detection, described honestly, sitting directly under a headline promising prediction.
No model, no warning window, no accuracy figure. Velaris also publishes no refresh interval, so you cannot tell how current the score is either.
Around $20,000 a year, roughly 8 weeks, administrator required. See Velaris pricing.
Totango, now Odie
Totango's churn positioning rests on buying the technology and team from Parative AI, announced in its own press release as an AI-driven churn intelligence product. Its marketing describes custom models built by its services team for large customers.
A custom model built on your own history is a legitimate approach, and for a big company with years of records of who actually left, it can beat anything off the shelf. But it means there is no standard spec to publish, and none is published. What you get depends entirely on what you negotiate.
Two practical warnings. Totango is now one of three products under the Odie brand, and the company calls Totango and Catalyst legacy products while saying existing contracts and support are unchanged. Separately, totango.com/pricing returns a 404 and the customer health product page has been taken down, so a new buyer cannot evaluate either from the public site.
Around $66,200 a year, the most expensive here, 4 to 12 weeks. See Totango pricing.
Does not claim prediction
Three vendors sell health scoring and describe it accurately. They belong on this page because buyers shortlist them for this job, and they deserve credit for not overselling.
Vitally makes no churn prediction claim anywhere on its site. The only mention of churn is a customer quote about "a 20% decrease in monthly churn," which is a result, not a feature. Vitally publishes the clearest limits of any vendor here, including a ceiling of 10 health scores with 50 properties total, and its hourly refresh is the fastest documented of the nine. Around $34,000. See Vitally pricing.
Planhat claims no prediction. Its wording is "Dynamically score health," framed around whether accounts are thriving or failing. Around $41,300 a year, 8 to 16 weeks, the longest install here. See Planhat pricing.
ClientSuccess claims no prediction either. It offers SuccessScore Customer Health, recalculated daily. Around $19,500. See ClientSuccess pricing.
None of the three is a worse product for declining to claim prediction. Two of them document how their scoring works better than vendors that do claim it.
How to test a prediction claim before you buy
Four questions. How fast a vendor answers tells you as much as the answer.
1. How many days of warning do we get?
Not "early." Not "proactive." A number of days. Eight of nine cannot answer this from anything published, so ask in the demo and ask for it in writing. If you hear "it depends on your data," ask what it was for their three most recent customers of your size.
2. Is the model trained on our churn history, or everyone's?
A model trained on your own lost accounts learns how your customers fail. A shared model learns how the average company's customers fail. Both are defensible. They are not the same product, and the vendor knows which one you are getting.
3. What happens between refreshes?
If scores update once a night and your champion resigns Tuesday morning, you find out Wednesday. Published refresh rates across these nine run from hourly, to every six hours, to nightly, to not published at all. Put this next to the warning window: 45 days of notice refreshed four times a day behaves very differently from an unpublished window refreshed once.
4. Show me an account that churned, and what its score did in the 60 days before.
The best question on this list. Any real customer can answer it, no slide deck can, and it shows you immediately whether the score moved in advance or only after the money was already gone.
If you are building your own scoring model instead of buying one, our customer health score guide covers the inputs, and predicting SaaS churn early covers how to design the signals.
What this means for your shortlist
If you want to know how long you have, and want it running this week: GainTrace. It is the only platform here that publishes a warning window, 45 days, refreshes every six hours, installs in about a week with no administrator, and costs around $1,200 a year. The trial is 14 days and starts without a sales call, so you can check the claim yourself rather than take our word for it. We do not name our model, which is a real gap against Gainsight.
If you need a named, auditable model and have the budget and the headcount: Gainsight. It publishes its algorithm, its inputs and its model structure, and nobody else does. Expect roughly $50,000 a year, an administrator, an install measured in months, and a score that updates once a night.
If your first warning is a conversation, not a click: Custify reads tone and risk in customer emails, which most of this list cannot do at all. Treat the prediction claim as unproven and judge the sentiment reading on its own merits.
If you want good health scoring and no prediction theatre: Vitally, ClientSuccess or Planhat. All three describe what they actually do. Vitally has the fastest documented refresh and the clearest published limits.
If you have years of records on who churned and a services budget: Totango, now Odie, will build you a custom model. Check its roadmap position first, given the company now calls it a legacy product, and note that public pricing is gone.
On a tight budget, see customer success software under $10k and customer success platforms for startups. If retention is already slipping and you need the cause rather than a tool, start with why is NRR dropping.
Sources and method
Every claim here comes from what the vendor publishes itself: marketing pages for claims, and help centre or support documentation for specifications. Marketing language is quoted word for word so you can see exactly what is being promised.
Where a vendor publishes no model, no warning window or no accuracy figure, this page records "not published" rather than inferring a number. That absence is not proof a capability is missing. It means you cannot verify it before you buy, which is the point.
Costs are verified median annual contract values rather than list prices, carried from the per-vendor pricing analyses linked above. Setup times, administrator requirements and refresh rates come from the same vendor documentation used in our customer health score software comparison.
GainTrace is our own product. Its figures come from our public product page and are held to the same standard as every other entry, including where we document less than a competitor does.
Review-site ratings, analyst rankings and vendor-supplied case studies were not used as sources for any capability claim on this page.
Frequently asked questions
- What is churn prevention software?
- Software that watches customer accounts for signs of disengagement and alerts your team before a renewal is lost. In practice the category sells two different things under one name: health scoring, which summarises what has already happened, and churn prediction, which estimates the chance an account leaves within a set number of days. Most platforms sell the first and market the second.
- Which churn prevention software actually predicts churn?
- Of the nine reviewed, GainTrace is the only one that publishes a warning window, stating it flags risk up to 45 days before renewal. Gainsight is the only one that names its model, documenting an Explainable Boosting Machines framework with named inputs, but it publishes no warning window. The other seven publish neither.
- How many days of warning should churn software give you?
- Enough to run a rescue. An executive conversation, a fix plan and any discount approval typically take three to six weeks, so anything under about 30 days leaves you negotiating rather than saving. GainTrace publishes up to 45 days. No other platform here publishes a figure at all.
- What is the difference between churn prevention software and churn management software?
- Nothing consistent. Vendors use churn prevention, churn management, churn reduction and retention software interchangeably, and none of the nine defines them differently. Because the labels mean nothing reliable, compare on published specs instead: the warning window, the refresh rate, whether a model is named, and whether you need an administrator.
- What is the cheapest churn prevention software?
- GainTrace at about $1,200 a year is the lowest here, followed by Custify near $16,800 and ClientSuccess near $19,500. Gainsight near $50,000 and Totango near $66,200 are the most expensive. These are verified median contract values, not list prices.
- Does churn prevention software need a dedicated administrator?
- Several do. Gainsight, Planhat, ClientSuccess, Velaris and Totango all indicate one in their documentation. Vitally markets no-code operation, and GainTrace states no administrator is required. This is the cost buyers most often miss, because it is a salary rather than a licence.
- How long does churn prevention software take to set up?
- From about a week at the light end to 6 to 26 weeks for Gainsight and 8 to 16 weeks for Planhat. Install time tracks closely with whether the platform needs an administrator.
- Can churn prevention software work without product usage data?
- Partly. Most of these tools are built on usage data first, so a lightly instrumented product weakens the score. Custify reading tone in emails, and GainTrace reading support ticket patterns and CRM activity, are the main ways to get a useful signal when usage data is thin. Teams whose earliest warning is a change in tone on a call should weight this heavily.
- Do any vendors publish churn prediction accuracy figures?
- None of the nine publishes accuracy, precision or recall for its churn prediction. Worth knowing before a demo, because an accuracy number quoted verbally in a sales call is backed by nothing published. Ask for it in writing.
