Signal CGM — Segment Scoring Model v1
Explicit Criteria, Weights, and Rankings Across Three Objectives
STTIL Solutions LLC | April 2026
Scoring Architecture
Three independent rankings. Each uses different criteria, weights, and success
definitions. A segment that ranks #1 for SaaS ICP may be wrong for a pilot and
irrelevant for an asset sale. Treat them as separate decisions.
Model 1: Best SaaS ICP for MRR/ARR
| Criterion |
Weight |
What it measures |
| Pain intensity |
25% |
How acutely the segment feels the CGM denial problem |
| Willingness / ability to pay |
20% |
Named budget, ROI clarity, buyer who can sign |
| Revenue per customer (ARR × LTV) |
20% |
Monthly contract × expected contract duration |
| Sales cycle speed |
15% |
Weeks from first contact to signed contract |
| Churn durability |
10% |
Still exists and values the tool in 24 months? |
| Reachability at scale |
10% |
Find and reach efficiently without large sales org |
SaaS ICP Scores
| Segment |
Pain (25%) |
Pay (20%) |
ARR×LTV (20%) |
Cycle (15%) |
Churn (10%) |
Reach (10%) |
Score |
| Mid-size supplier (10–50 emp) |
9 |
8 |
8 |
7 |
6 |
7 |
7.80 |
| Billing company / DME RCM |
8 |
7 |
7 |
5 |
8 |
6 |
6.95 |
| Small supplier (2–8 emp) |
10 |
5 |
4 |
6 |
4 |
8 |
6.40 |
| VGM Group / MSO |
5 |
4 |
7 |
3 |
9 |
5 |
5.30 |
| DME platform vendor (NikoHealth) |
3 |
4 |
8 |
2 |
9 |
3 |
4.65 |
| State / national association |
2 |
1 |
1 |
3 |
7 |
9 |
2.55 |
| Grant-funded / QI org |
3 |
2 |
2 |
2 |
4 |
4 |
2.60 |
Key rationale:
- Mid-size supplier leads because they have pain + budget + ROI clarity at $199–$399/month
- Small supplier has maximum pain (10/10) but minimum reliability — high churn risk as CB 2028 approaches
- Billing company scores #2: absorbs denial labor directly; LTV longer than any individual supplier
- NikoHealth scores low on SaaS — they are an asset buyer, not a subscriber
Model 2: Best Buyer for Asset Sale / Strategic Handoff
| Criterion |
Weight |
What it measures |
| Distribution reach |
30% |
How many suppliers does this buyer already reach? |
| Strategic need |
25% |
Documented feature gap; would they build it otherwise? |
| Price ceiling |
20% |
How much would a motivated buyer plausibly pay? |
| Speed to close |
15% |
Weeks from conversation to signed term sheet |
| Build vs. buy calculus |
10% |
Is acquiring faster than building given CB 2028 window? |
Asset Sale Scores
| Segment |
Distribution (30%) |
Need (25%) |
Price (20%) |
Speed (15%) |
B/B (10%) |
Score |
| DME platform vendor (NikoHealth) |
10 |
9 |
9 |
3 |
7 |
8.20 |
| VGM Group / MSO |
10 |
7 |
7 |
4 |
8 |
7.55 |
| Billing company / DME RCM |
7 |
8 |
6 |
5 |
7 |
6.75 |
| State / national association |
8 |
4 |
2 |
2 |
3 |
4.40 |
| Mid-size supplier |
1 |
5 |
2 |
4 |
3 |
2.85 |
| Small supplier |
1 |
4 |
1 |
3 |
2 |
2.10 |
| Grant-funded / QI org |
3 |
3 |
2 |
1 |
2 |
2.40 |
NikoHealth (#1 asset buyer) rationale:
- Already serves the exact buyer profile; CGM feature gap is documented and real
- API-first architecture makes integration technically trivial
- CB 2028 window makes buying faster than 6–9 month internal build
- Price ceiling is 3–5× current $25K–$60K ask for a motivated platform buyer
Model 3: Best Pilot Validation Partner
| Criterion |
Weight |
What it measures |
| Data accessibility |
25% |
Structured CGM billing data with denial reason codes |
| Cooperation likelihood |
20% |
Will they actively participate and give feedback? |
| Signal quality |
20% |
Will pilot results generalize to target market? |
| PHI / compliance overhead |
20% |
BAA and data security burden |
| Feedback loop speed |
15% |
How quickly is denial rate change measurable? |
Pilot Scores
| Segment |
Data (25%) |
Coop (20%) |
Signal (20%) |
PHI (20%) |
Speed (15%) |
Score |
| Billing company / DME RCM |
10 |
7 |
10 |
6 |
6 |
8.00 |
| Mid-size supplier |
8 |
8 |
9 |
5 |
8 |
7.60 |
| DME platform vendor |
10 |
4 |
10 |
7 |
4 |
7.30 |
| Small supplier |
6 |
9 |
7 |
5 |
7 |
6.75 |
| VGM / MSO |
3 |
5 |
4 |
4 |
3 |
3.80 |
Billing company leads pilot scoring because they have multi-supplier,
multi-plan, multi-jurisdiction billing data — the fastest path to H1 validation
(denials are documentation-fixable) across a meaningful sample size.
Government Enforcement Context
| Finding |
Source |
Strategic Implication |
| CGM improper payment rate: 25.2% / $278.5M/yr |
CMS 2024 |
One in four CGM dollars improperly paid |
| 94.2% from documentation failures |
CMS 2024 |
Not fraud — fixable workflow gaps |
| $1.9B total DMEPOS improper payments FY2024 |
OIG |
CGM is highest-scrutiny category |
| $1.8B in payments suspended 2025 |
CMS Fraud Defense Ops |
Enforcement is executing at scale now |
| CGM as explicit 2026 enforcement priority |
OIG / DOJ |
Legitimate suppliers get caught in sweeps |
| Unequal enforcement: pharmacy vs DMEPOS |
CMS-2025-0242-0025 |
DMEPOS held to higher standard than pharmacy for same product |
The dual-edge positioning: Signal CGM's audit log is not just a billing tool —
it is liability documentation. A supplier who can show time-stamped pre-submission
checks has a defensibility argument when the MAC issues an ADR.
Verdict: Credible and growing challenger. Not the market standard.
| Indicator |
Assessment |
| Architecture |
Cloud-native, API-first — genuine advantage over Brightree |
| Pricing |
More accessible for small suppliers than Brightree ($600–$1,500+/mo) |
| Market position |
Capturing switchers from legacy platforms; not dominant |
| Customer count |
G2 review volume suggests low hundreds, not thousands |
| CGM-specific intelligence |
Generic authorization alerts; no 6-month visit tracking, no MAC-jurisdiction rules, no 45-day runway logic |
| Competitive risk |
Could close the CGM gap in 6–9 months of focused engineering |
Asset sale timing window: open but not permanent. NikoHealth's API-first
architecture makes acquisition or licensing integration technically trivial
relative to Brightree's legacy stack.
Sources