Customer Discovery Stage · Pilot Access Opening Q2 2026

Revenue Intelligence for Customer Success

Drive 110%+ NRR with churn prevention + expansion intelligence built on clinical diagnostic thinking.

Stop losing $150K+ in preventable churn.
Start identifying expansion opportunities before your competitors do.

CS Teams Are Drowning in False Positives, Starving for Trust

Your churn prediction tool flags 10 accounts as at-risk.

Only 3 actually churn.

After enough false alarms, your team stops believing the alerts.

This is called alarm fatigue — and every CS leader we interviewed mentioned it.

15 / 15

CS leaders interviewed mentioned alarm fatigue unprompted

50–70%

Current tool accuracy — basically a coin flip

“When specialists investigate red flags only to find healthy accounts, they lose trust. They feel they’re putting in ‘useless effort.’”

— Barrini Serenah, BPO Supervisor, Madagascar

The real problem? It’s not lack of data. It’s lack of trust. False positives destroy team adoption — and without trust, even accurate predictions become shelfware.

What 15 CS Leaders Across 5 Continents Told Us

Discovery Complete · 15 Interviews · US, Europe, Brazil, Africa, Australia

Current accuracy baseline: 50–70% everywhere

From Melbourne to São Paulo to Lagos: same problem, same accuracy range.

Alarm fatigue is universal

False positives waste time, destroy trust, and break team adoption.

Operationalization > Prediction

“The challenge isn’t detecting risk — it’s knowing what to do about it.”

— Universal finding across all 15 interviews

Wrong-fit is a GTM problem

“50% of churn is created at the point of sale — CS teams inherit the problem.”

— Alix Simpson, VP Revenue (110%+ NRR track record), Australia

Retention is table stakes. Expansion is the value.

“If a customer isn’t expanding, that’s already a churn signal.”

— Alix Simpson, VP Revenue, Australia

Samadly: Revenue Intelligence Built on Clinical Diagnostic Thinking

I spent 30 years as a physician. A good physician doesn’t say “you have a 73% chance of condition X.”

A good physician says:

“Here are the three signals I’m seeing,

here’s what they suggest,

here’s what I want to rule out,

and here’s what we do next.”

That’s how Samadly works.

Every Other Tool

"Customer X has 75% churn risk"

Signal → Action. No diagnosis.

Your team: "Schedule a call" — but why? About what?

Samadly

Customer X: $24,000 ARR at risk · 87% confidence

① SIGNAL:

Usage −43% · 3 support tickets · Exec sponsor inactive 47 days

② DIAGNOSIS:

Most likely: Executive disengagement (not training gap, not product fit issue — usage pattern rules those out). Matches 78% of churned accounts in this cohort.

③ DECISION OPTIONS:

A) Executive business review — high effort, high impact

B) ROI report to exec sponsor — low effort, medium impact

C) Escalate to account manager — if commercial risk

The Three-Layer Architecture

Most tools fail because they jump from signal to action. Samadly adds the layer that makes the difference.

Layer 1
SIGNAL

What is happening — and how confident we are

Ingests product usage, support tickets, communication frequency, stakeholder engagement, and billing signals. Outputs signal type, strength, confidence score, and time horizon. Every CS tool has this layer. It is necessary but not sufficient.

Layer 2
DIAGNOSIS

What is actually wrong — the most important layer

Samadly's core moat

Applies differential diagnosis to rule out alternative explanations before surfacing the most likely root cause. The same signal can mean training gap, value failure, stakeholder misalignment, or weak use case. Diagnosis determines which. This layer requires cross-company benchmark data and clinical methodology. No competitor has it.

Layer 3
DECISION

What are the possible actions — and their trade-offs

Takes the confirmed diagnosis and surfaces 2–3 specific intervention options with effort level, impact probability, and time sensitivity. The CSM decides. Samadly advises with context. Expansion signal detection added Q3 2026.

Goal: 110%+ NRR, not just 100% retention.

Who Samadly Is Built For

VP Customer Success at B2B SaaS companies ($3–50M ARR)

Built For

In-house CS team (50–100 accounts per CSM)
Product usage tracking at account level
CRM hygiene and support ticket history
Goal to move from sub-100% to 110%+ NRR

You’re treating retention as a revenue discipline — not just a CS metric.

Not Built For

×BPO-scale operations (300+ accounts per agent)
×Companies without product usage data infrastructure
×Self-service, high-volume CS models

Maximum 50 Companies. By Design.

Diagnostic accuracy requires partnership, not automation at scale.

Dedicated advisor
Weekly calibration sessions
White-glove onboarding
Direct input into product roadmap

Excellence doesn’t scale infinitely. So we’re choosing depth over breadth.

Where We Are: Foundation → Execution

March 2026

15 customer discovery interviews complete (5 continents)

April 2026

Foundation decisions

  • Week 1: Data audit with 3 pilot candidates
  • Week 2: Architecture decisions
  • Week 3: Accuracy measurement methodology
  • Week 4: Expansion discovery sprint (5–10 interviews)

May–June 2026

Build + pilot onboarding

  • Build MVP (Layers 0–3)
  • Onboard first 3 pilot customers
  • 90-day pilot, no cost

July–October 2026

Iterate + prove 85%+ accuracy

  • Weekly calibration with pilots
  • Document what works (and what breaks)
  • Expand to 5 pilots

Q4 2026

Invitation-only expansion

  • Maximum 50 companies
  • Proven 85%+ accuracy
  • Measurable NRR impact

Ready to Prove 85%+ Precision With Your Data?

For CS Leaders

Join Q2 2026 Pilots

We’re onboarding 3–5 pilot customers in May–June 2026.

What You Get

90-day pilot, no cost
Weekly accuracy reports + calibration
Custom integration with your data stack
Direct access to founder (Dr. Jacob Mahama)
Measurable NRR impact in 90 days

What We Need

Product usage data at account level
Historical churn data (12+ months)
Weekly 30-minute review calls
Commitment to post-pilot case study (if successful)
For Future Customers

Join Q4 2026 Waitlist

Be among the first 50 companies when we expand beyond pilots.

Pilot spots are limited to 3–5 companies. If you’re not ready to commit to a pilot now, join the waitlist to be first in line for Q4 2026 expansion.

Questions? Email [email protected]

From Physician to Founder: Why I'm Building This

JM

Dr. Jacob Mahama

Founder & CEO, Samadly

I spent 30 years managing hospitals and disease surveillance systems across entire regions of Ghana.

I've seen preventable deaths caused by disconnected data:

— Lab results in one clinic

— Imaging in another hospital

— Patient history somewhere else

— Each doctor seeing their piece

— Nobody connecting the dots until too late

When I moved into technology, I saw the exact same pattern in B2B SaaS. Customer signals scattered everywhere. Teams working in silos. Customers churning "out of nowhere."

Samadly is my answer to a question I couldn't unsee: How many preventable losses will we accept before we connect the dots?

Mission: Prevent disconnected data from causing preventable loss — in business today, in healthcare tomorrow.

Join the Q4 2026 Waitlist
Pilots open May–June 2026 (3–5 companies). Waitlist opens the door to Q4 2026 expansion.
48 of 50 spots available

No credit card required · We review every application personally

One More Thing

We’re building this in public. Every interview, every finding, every mistake — documented on LinkedIn. Follow the journey.

Pilot Customers

3–5 spots. May–June 2026. No cost. Full access.

Waitlist

Q4 2026 expansion. First 50 companies only.

Stay Updated

Building in public. Follow the journey.