Acto

Churn prediction for B2B wholesalers and manufacturers, built on ERP order data instead of product usage. Scores every customer nightly on reorder intervals, revenue trend and range gaps, then gives field and inside sales a prioritised list each morning, with a one-line reason per customer, in Outlook, Salesforce, Dynamics or its own app. Priced per sales rep per month, on request.

Reviewed by Mark Ashworth · Founder, ChurnTools · Last updated:
Analytics & Insights SaaS Enterprise Analytics Automation AI-Powered Integration Mobile
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TLDR My quick take on Acto
Every churn model in this directory reads product logins. A wholesaler's customers never log in; they just reorder less often until they stop. Acto reads the order lines in your ERP instead and tells field sales each morning who is drifting and why. A strong fit for distributors with hundreds of accounts per rep. Not built for SaaS, German-market first, and the results so far are all Acto's own numbers.
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How does Acto actually reduce churn?

Engagement

In wholesale, churn rarely arrives as a cancellation. A customer moves one product group to a competitor, then another, and their reorder interval stretches from ten days to thirty. The signal is in the order lines all along. Acto is a health score built on purchasing behaviour instead of logins, and it hands the result to the person with the relationship: the field rep.

What is Acto?

Acto solves a problem this directory mostly ignores. If you sell office supplies, fasteners or building materials to a few thousand trade customers, there is no usage data to watch. Nobody logs in. A customer who is leaving simply orders a bit less, a bit later, from a narrower part of the range, and the first time anyone notices is the quarterly revenue review.

So Acto works from the order history. Every night it imports order lines, customer and product master data and CRM visit notes, usually from an exchange server so the live ERP is left alone. Algorithms work out each customer's normal reorder interval, seasonality and revenue trend. Machine learning models, trained only on that company's own data, score churn probability, reactivation chances and cross-sell gaps. A language model then reads the CRM notes and house rules, and an agent step throws out signals that are already handled (a visit is booked, the rep rejected the same signal last week).

What the rep sees is short: a prioritised list each morning or just before a visit, with one sentence per customer explaining why it is there. "Reorder overdue by three weeks, usually orders every ten days" is the kind of thing it surfaces. It lives in an Outlook sidebar, inside Salesforce, Dynamics 365 or SAP C4C, or in Acto's own mobile app, which also handles dictated visit reports and route suggestions. Reps can reject a signal with a reason, and that reason shapes the next score for that customer.

Integrations listed include SAP (R/3, S/4HANA, Business One), proALPHA, Sage, Infor M3, Microsoft Business Central and F&O, and enventa. SAP, Dynamics, Salesforce and Outlook connect directly; everything else goes through a data export. Go-live is quoted at four to six weeks with two to three days of IT time. Each customer gets its own server, data sits in Frankfurt, and the language models run in EU data centres without being retrained on customer data.

Pricing is per sales rep per month plus a one-off onboarding fee, quoted after a call. There is no free tier or trial, though Acto offers a free analysis of your data first. The company is German, about 34 people, and investor-backed. The site is in German first, with a partial English version.

What can Acto actually do?

  • Churn scoring from ERP order lines: reorder intervals, revenue trend, seasonality and assortment gaps
  • Nightly scoring run, with the ERP read from an exchange server rather than touched live
  • A prioritised at-risk list each morning or before a visit, with a one-line reason per customer
  • Delivery in an Outlook sidebar, Salesforce, Dynamics 365, SAP C4C or the Acto mobile app
  • Reps reject signals with a reason, and the reason feeds that customer's next score
  • Cross-sell, reactivation and margin-drop signals alongside churn risk
  • Dictated visit reports turned into CRM notes and tasks
  • Per-customer server and models, data hosted in Frankfurt, EU-hosted language models

Who should use Acto?

Spot trade customers whose reorders are slowing before it shows up in quarterly revenue
Give a field sales team covering hundreds of accounts a short daily list of who to call
Catch customers quietly moving part of their range to a competitor
Run churn prediction where customers never use a product you can instrument
Prepare reps for visits with order history and talking points pulled from the ERP

What are the pros and cons of Acto?

Pros

  • Covers order-based B2B, which no usage-based churn tool in this directory can
  • Each signal comes with a reason a rep can act on, not just a risk score
  • Lives where reps already work (Outlook, the CRM), so it does not need a new habit
  • Rep feedback on rejected signals tunes future scores, so the list should get less noisy
  • EU hosting with a server per customer, which matters to German and EU buyers

Cons

  • Not built for SaaS. If your customers log into your product, a usage-based tool is a better fit.
  • No published prices, no trial and an onboarding fee. Expect a sales process, not a sign-up.
  • The 5-11% revenue uplift, 92% signal relevance and 8 hours saved per week are all Acto's figures from its own references. Only Böllhoff's states a method (a pilot against non-users).
  • German-market first: the site is mostly German and the reference customers are German wholesalers
  • Needs reasonably clean ERP order history and a few days of IT time; the quoted IT effort varies between two and three days across their own pages
  • Only worth it with a real sales team. A distributor with two reps and fifty accounts can watch reorders in a spreadsheet.

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What does Acto integrate with?

SAP S/4HANA SAP Business One Microsoft Dynamics 365 Microsoft Business Central Salesforce Outlook proALPHA Sage Infor M3 Power BI

Frequently asked questions about Acto

The questions buyers ask me most often about this tool.

How does Acto predict churn without product usage data?

It reads order lines from your ERP: what each customer buys, how often and from which part of your range. It learns each customer's normal reorder interval and seasonality, then flags customers whose orders are late, shrinking or narrowing. The models are trained only on your own data.

How much does Acto cost?

Acto charges per sales rep per month, plus a one-off onboarding package for integration, data modelling and training. Prices are not published; you get a fixed quote after a first call. There is no free tier or trial, but Acto offers a free analysis of your data before you commit.

Which ERP and CRM systems does Acto work with?

SAP, Microsoft Dynamics, Salesforce and Outlook connect directly. Acto also lists SAP Business One, proALPHA, Sage, Infor M3, Microsoft Business Central and F&O and enventa among its customers' systems, connected by export, SFTP or database access.

How long does it take to set up?

Acto quotes four to six weeks from kick-off to go-live, with two to three days of your IT team's time for the data connection. Most of the rest is mapping data and testing signals with the sales team.

Is Acto suitable for a SaaS company?

Not really. It is built for wholesalers and manufacturers whose customers reorder physical products through a sales team. A SaaS business has login and feature usage data, and a usage-based health score will see trouble earlier than order data can.

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Reviewed by Mark Ashworth

Founder of ChurnTools. I review every tool in this directory personally, talk to the people using them, and call out which ones I'd actually recommend (and which I wouldn't). No paid placements in the rankings.

Pricing

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Company Info

Best for: enterprise
Founded: 2021
Employees: 11-50
HQ: Paderborn, Germany

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Retention Diagnostic · $2,500 fixed · first 2 at $1,250

A tool will not fix churn you have not diagnosed

Buying software is a reasonable second step. The first one is knowing which part of your churn is voluntary, which part is failed payments, and what the people who left did differently in their first month. I work that out and send you three fixes ranked by what they are worth, in writing, within 10 working days.

  • ✓ Your churn split by cause, with dollars on each
  • ✓ Three fixes, ranked, with expected recovery
  • ✓ The advice that does not apply to you
  • ✓ Fixed price, no call required
See what it covers Part time, so one a week. If it is not a fit I will say so.