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.
"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 product, 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.