MARSĀ connects to your customer-facing tools (CRM, support, telephony, email, etc.) and suggests corrective actions for each CSM. The result? Retained customers, a significant drop in churn, and upsell opportunities uncovered.
Four out of six exchanges have had a negative tone since June, versus one in nine the previous quarter. A competitor was mentioned during the June 12 call. The champion left without a successor, and renewal falls before their fiscal year-end.
A health score, an account view and a recommended action — enough to prep for a client meeting in three minutes, without switching tools.
Four dimensions, weightings you control, and for each account a breakdown of what pushes the score up or down.
Context, a read of the score, key signals and the history of exchanges. Enough to walk into a meeting prepared in three minutes.
One recommendation per account, prioritized, backed by reasoning, with a message draft that's ready to review.
Expansion shows up first in what the customer asks for: a need raised three times with support, a new team appearing in the conversations.
No pointless daily notifications. An alert when a signal actually moves, against the threshold you defined.
Who validated what, when, and what was changed. Required by regulation, useful for managing the team.
MARSĀ doesn't just flag at-risk accounts: it also reveals the ones ready to grow. A need raised three times with support carries as much weight as a churn alert.
Your tool isn't on the list? No worries — we build custom connectors in a matter of hours.
By the time notice arrives, the decision was made months ago. In the meantime, the signals were there — scattered across tools nobody has time to cross-reference.
An annoyed support ticket, a drop in logins, a champion changing roles, an overdue invoice. None of these signals is alarming on its own. Together, they tell the story of a customer leaving.
Two hundred accounts in a portfolio, eight hours in a day. Time spent digging through tools is time stolen from the customer relationship — and it mostly produces unverifiable hunches.
The loudest account jumps the queue ahead of the quiet one. But the customer leaving quietly doesn't complain: they simply stop logging in, then stop renewing.
MARSĀ makes your churn avoidable. On a €4M portfolio, recovering one-fifth of it is €96,000 a year.
Three steps, and one principle: the score stays deterministic, AI only summarizes and drafts. It's cheaper, it's explainable, and it's auditable.
Your tools connect, MARSĀ reconciles. Identity resolution across systems, master-source arbitration, continuous quality control.
A score built on what your customers say: customer voice, friction, relationship, contract. Product usage is added once you connect it.
For every account that moves: the next best action and a message draft ready to send. The CSM decides, MARSĀ prepares.
The calculation rests on readable rules and weightings, not an opaque model. AI only steps in to summarize and phrase things. The result: a score you can defend in front of your leadership and an auditor alike.
No action is ever sent to a customer without a CSM reviewing it first. Automation will come later, on the low-touch segment, and only after a measured observation period.
Data hosted in the EU, strict isolation between clients, pseudonymization before any model call, and zero training on your data. It's not a toggle you can switch on — it's the architecture.
Established platforms charge several thousand euros in setup fees and roll out over a quarter. MARSĀ starts from a CSV import and a first read of your portfolio, then connectors get plugged in.
The transparency obligations of the EU AI Act have applied since August 2, 2026. Retrofitting them is expensive; building them in from the start costs almost nothing.
Every summary and recommendation produced by a model carries a visible "AI-generated" label. The December 2, 2026 machine-readable marking deadline is on our roadmap.
Who, when, accepted / edited / rejected, and for what reason. The log is viewable and exportable — it's your proof of human oversight.
Standard data processing agreement, public list of sub-processors — model provider included —, no-retention enabled on the provider side, purge policy and pseudonymization before any data leaves your environment.
Database in an EU region, row-level isolation, encryption in transit and at rest. SOC 2 certification is planned for 2027.
These commitments are reviewed by legal counsel before our first client signature. We document them publicly rather than promising them in a meeting.
"For eight years, I led Customer Success teams. The churn I didn't see coming — I always found it in the data, after the fact."
Full access to the platform, with nothing held back.
One license is one user and 500 tracked accounts in your portfolio — take as many as you need to cover both. Unification, health score, recommendations, connectors and compliance log, with no limited version and no commitment period.
A dashboard shows you a state and leaves you to draw the conclusions. MARSĀ goes all the way to the recommendation: which account to prioritize, why, and what to write to them. MARSĀ's output isn't a chart, it's a prepared decision the CSM approves or rejects.
The score is calibrated on your past churn, not on generic thresholds. Every recommendation a CSM accepts, edits or rejects — and their reason — feeds that calibration. It's a system that improves with use, not a fixed model.
No. No action is ever sent to a customer without a CSM reviewing and approving it. MARSĀ prepares the draft and makes the case for the recommendation; the decision to send always stays human.
No. Zero model training on your data — it isn't a setting you can toggle off, it's the architecture. Your data is pseudonymized before any call to a model.
MARSĀ starts from a CSV import and a first read of your portfolio within days, then OAuth connectors are plugged in progressively — without the months-long integration project established platforms require.
Then it's your volume that determines the number of licenses: one license covers one user and 500 tracked accounts, and you take as many as you need to cover both. Full details, with a worked example, are on the Pricing page.
Tell us about your portfolio and your stack. We'll get back to you with a straight answer on eligibility.