Customer churn prediction software, minus the data scientist
Skip the $145,852 data-science hire. Connect your customers, get a churn risk score for each one, and the reason behind it.
Last updated August 2026
Account 4821 · Pro plan · 14 months
82%
likely to cancel in the next 30 days
- Logins down 63% over 60 days
- Two failed payments this quarter
- No support contact in 90 days
Next action: Reach out this week with a renewal offer.
Customer churn prediction software spots the customers most likely to cancel before they do, so your retention team can act in time. Brazil Nut AI builds the machine learning model for you from your own data, scores every account for churn risk, and shows the churn drivers behind each score. No data science team, no months-long predictive analytics project.
Why churn catches small teams by surprise
Spreadsheets are too late
By the time churn shows up in a report, the customer is already gone.
Enterprise tools need a big budget
DataRobot and Dataiku assume data scientists on staff and months of setup.
Health scores do not say why
A red flag with no reason means you are still guessing.
How churn prediction works
Connect your data
Upload a CSV or connect your warehouse.
See what it can predict
We check your data and flag what is missing.
Get churn risk scores
Every customer gets a score and the reason behind it.
What your data needs to look like
We check this when you connect and tell you what is missing. One row per customer, and at least 100 rows so the model has something to learn from.
- customer_id
- A unique ID per account
- signup_date
- When they started
- usage_metrics
- Logins, seats, orders, sessions
- payment_history
- Invoices, plan, failed payments
- churned
- Yes or no, for customers who left
Gaps and short-lived accounts get less weight, not dropped.
Start freeWhat you get
A churn risk score per account
Re-score every account in one click when new data lands.
The churn drivers behind it
Usage, payments, support signals, ranked.
A risk level and next action per account
High, medium or low, with a suggested next step for each.
You run it, not IT
No SQL, no Python, no data team.
Churn prediction without a data scientist
| Comparison | Brazil Nut AI | The usual way |
|---|---|---|
| First score | Same day | Weeks to months |
| Who runs it | You | A data scientist |
| Cost | Free forever, then $99/month | ~$145,852 for a data science hire (Built In, 2026) |
| You get back | A score and its reasons | A number, no explanation |
Churn prediction pricing you can actually see
Transparent pricing, right here on the page. Not behind a sales call. Starter is $99/month and Growth is $299/month. Before that there is a free plan, not a free trial: it stays free, takes no credit card, and gives you one model, three model trainings a month and 1,000 predictions.
Try it outWhen churn prediction will not help
- Very few customers. You can tell who is at risk by looking.
- Churn only at annual renewal. Monthly scoring adds little.
- No usage tracking. Not enough signal for a score worth trusting.
Customer churn prediction: common questions
Can AI predict customer churn?
Yes. You give it your customer records (usage, payments, support history) and it learns the patterns that come before a cancellation. Every account gets a churn risk score and a short list of what is driving it, on your own data, with no data team.
How long does it take to set up?
Depends on your data. In good shape, you see churn scores the same day. If the data check finds gaps, you fix those first, and that takes as long as it takes. We tell you exactly what needs fixing.
Do I need to build a churn prediction model?
No. The old way is a data scientist spending months on setup and tuning. Here you connect a table of customers and the software builds and maintains the model for you.
Which model does it use?
There is no single best one. Brazil Nut AI tries a few well-understood approaches on your records and keeps whichever is most accurate. You see the predictions and the reasons, not the machinery.
How is this different from a CRM health score?
A health score is a rule: usage drops below a line, the account turns red. It does not tell you why. Brazil Nut AI learns from your history and gives you a probability plus the specific churn drivers.
What is a good churn rate?
It varies by model. Subscription SaaS often runs 5 to 7 percent a year, and small business or consumer plans higher. What matters is the trend and the revenue behind it. Churn prediction software flags the at-risk accounts early, whatever your baseline is.
How is this different from Pecan or an enterprise platform?
Pecan is a similar idea, but you request a quote and their team runs onboarding. Enterprise platforms like DataRobot are built for data scientists. Brazil Nut AI is for the person who connects their own data and runs it themselves.
Do I need a data scientist?
No. The average data scientist costs about $145,852 all in (Built In, 2026). Brazil Nut AI handles the parts you would hire them for. If you can export a spreadsheet, you can use this.
What data do I need?
A table of customers with an ID, start date, usage numbers, payment history, and a column marking who already churned. At least 100 rows. Upload a file or connect Snowflake, BigQuery, Redshift, or Databricks.
Can I cancel easily?
Yes. Cancel from your account settings, no phone call. The free plan takes no credit card and never expires, so there is nothing to cancel if it is not for you.
Predicting something else
Same platform, same data check, different question: demand forecasting software predicts units per product from your sales history, and sales forecasting software scores your open deals from CRM history.
See who is about to churn
Connect your data. Get a risk score for every customer.
Start freeNo credit card required. Cancel anytime.