Analytics Brief
Prepared by CORA Signals No. 01 Jan 2025 – Apr 2026
The Inbound Portrait

The average CoreLife lead is a 45-year-old Class-II-obese woman who has already talked to her doctor about her weight.

Of 2,367 unique inbound leads captured through the CORA screener between January 2025 and April 2026, 86.3% meet the clinical bar for GLP-1 therapy today, and 57.8% are warm on every dimension: obese, plateaued, and already medicalized with a primary care physician. This is not a weight-loss-curious audience; it is a clinical-treatment audience arriving pre-qualified.

01 The Portrait

Who is actually filling out the form

Ninety-one percent female, median age 45, median BMI 35.5. More than half present in Obesity Class II or above. The funnel is self-selecting toward exactly the cohort medical weight-management was built for.

Unique leads
2,367
162 duplicate submissions · 2,277 new-patient forms · 90 existing-patient follow-ups
Median BMI
35.5
Class II obesity · mean 36.8 · 29.0% are Class III (BMI ≥ 40)
Female
90.7%
2,148 women · 219 men. Messaging and clinical design must assume female-default
Saw an MD ≤12mo
93.3%
83% already discussed their weight with that physician. Warm, medicalized leads

BMI distribution · new-patient leads (n = 2,277)

< 30 Class I (30–34.9) Class II (35–39.9) Class III (≥ 40) 18.5% 28.4% 24.2% 29.0% 81.5% meet obesity criteria (BMI ≥ 30)

Age distribution · n = 2,277

119 18–24 419 25–34 595 35–44 571 45–54 376 55–64 179 65–74 18 75+ 600 300 0 LEADS
Core demand concentrates in the 35–54 band (51.2% of leads). A meaningful younger cohort (18–34, 23.7%) arrives with higher depression load; older cohort brings higher diabetes and pain burden.
02 Clinical Readiness

The leads are not shopping for advice; they are shopping for treatment

Every bar below represents a CoreLife-serviceable signal. Eighty-four percent of new leads report a weight-loss plateau; a third have prior experience with prescription weight-loss therapy; a quarter take medications with weight-gain side effects. These are clinically activated consumers.

Engagement & intent

Saw a physician in last 12 months
93.3%
Wants a structured meal plan
85.1%
Wants CoreLife-guided exercise program
83.8%
Weight-loss plateau
84.0%
Already talked to MD about weight
83.0%
Needs accountability (self-reported ≥3/4)
72.5%
Has tracked calories before
72.3%
Trouble controlling portion sizes
64.4%

Metabolic load & treatment history

BMI ≥ 30 (obesity)
81.5%
Family history of chronic disease
60.2%
On BP / diabetes / cholesterol meds
38.9%
Prior Rx weight-loss medication
34.7%
Diabetes or pre-diabetes
29.5%
Takes medications with weight-gain side fx
26.0%
Considered bariatric surgery
19.9%
Had gastric bypass (rebound)
5.3%
03 High-Value Segments

Five cohorts you can market to tomorrow

These are not hypothetical personas. Each segment is computable from the existing CORA intake today and large enough to run as its own conversion funnel. Counts are non-exclusive (a lead can belong to multiple).

Segment 02 · TAM

GLP-1 Eligible

1,966 · 86.3%
BMI ≥ 30, or BMI ≥ 27 with diabetes / cardiometabolic Rx. The clinical population you can prescribe to today under current label criteria.
PLAY · Full-funnel default cohort
Segment 03 · Comorbid

Cardiometabolic + Obese

753 · 33.1%
On BP, diabetes, or cholesterol medication and BMI ≥ 30. The strongest "reduce your pill count" story; payer-friendly framing given downstream medication spend offset.
PLAY · Comorbidity-reduction campaign
Segment 04 · Experienced

Prior Rx Weight Meds

789 · 34.7%
Have already used prescription weight-loss medication. Often lapsed GLP-1 patients shopping for supply, pricing, or a real program to wrap around the drug.
PLAY · GLP-1 continuity / rescue
Segment 05 · Hidden gold

Post-Bariatric Rebound

121 · 5.3%
Already had gastric bypass, now back in obesity. Mean BMI 37.7, 56% considering surgery again. Proven willingness to pursue intensive intervention.
PLAY · "Second Chance" medical track
04 Deep Dive

Why the 5.3% matters more than it looks

Post-bariatric rebound is the single highest-intent cohort in the dataset. These patients already crossed the willingness threshold for major medical intervention once, and it did not hold. The remedy market they are in has only one real answer today: physician-supervised pharmacotherapy with long-term accountability.

Post-bariatric rebound · n = 121

They have already paid for surgery. Now they want results that stick.

A dedicated "Second Chance" intake protocol (pharmacotherapy, RD, behavioral support, quarterly labs) converts this cohort with almost no creative spend. They are actively searching.

37.7avg BMI (back to Class II)
95%female
87%report plateau
56%considering surgery again
56%prior Rx weight meds
55%pain limits movement
41%on BP / DM / chol Rx
40%depression ≥ 3 / 4
05 Age × Burden

One message will not fit every age band

Younger leads arrive depressed. Older leads arrive diabetic and in pain. GLP-1 eligibility is a constant (82–91%) across every age band, but the reason the lead is filling out the form is not.

Age N Avg BMI GLP-1 eligible Diabetes / pre-DM Pain limits movement Depression ≥ 3
18 – 2411936.682%21%27%43%
25 – 3441938.386%19%34%42%
35 – 4459537.685%21%40%36%
45 – 5457136.487%36%48%31%
55 – 6437635.887%43%55%29%
65 – 7417934.991%40%55%26%
75+1833.683%28%72%22%
Under 35: mental-health is the leading clinical signal (42–43% depression). Landing pages should lead with mood / confidence / long-term metabolic risk.
Over 45: diabetes and functional pain dominate. Lead with "reduce medication load" and "regain mobility."
06 The Hidden Burden

Pain, mood, and function: the reasons your program will fail without them

These signals shape whether a lead will complete an 18-month medical weight-management arc. On this data, 62% of leads flag on at least one of pain, depression threshold, or anhedonia threshold; a drug-only program under-serves the majority, not a minority.

Prevalence across mental & functional domains

20% 40% 60% 80% Stress ≥3 59% Pain limits 44% ADL diff. 42% Depression ≥3 34% Stress + Dep. 29% Anhedonia 20% Alone / unsupported 18% Eating dis. 14%

The three numbers that should govern program design

44% report pain that limits movement. An undifferentiated "exercise plan" is clinically inappropriate for nearly half the cohort; they need a functional-movement or physical-therapy assessment before any progressive activity prescription.

34% cross a single-item depression threshold (≥3 on a 0–4 self-rating); 20% cross the same threshold on anhedonia; 16% are positive on both. These are screening flags, not clinical diagnoses, but the dual flag is a PHQ-2-style signal worth escalating. 56% already report a therapy history, suggesting receptivity to behavioral support rather than resistance to it.

73% self-rate ≥3 on a 0–4 accountability-need scale, and 50% select the maximum 4. Every program that looks like a subscription and feels like a subscription loses this cohort. Programs that feel like care (scheduled check-ins, named clinicians, personal goals) win it.

Baseline implication: pair every GLP-1 start with (a) a validated mood screen with a referral pathway, and (b) a functional-movement assessment before any exercise prescription. Neither adds meaningful clinical cost; both are currently missing from the CORA handoff.
07 Geography

Maryland is the core market. North Carolina is the second engine.

Seventy-one percent of new-patient leads originate in Maryland; twenty-nine percent in North Carolina; the remainder trace (PA, DE). Clinical acuity is noticeably higher in MD: Maryland leads are more likely to be Class III obese and to be on cardiometabolic medication, which has staffing-mix implications.

New-patient leads by state

MD
1,614 · 70.9%
NC
651 · 28.6%
PA
7 · 0.3%
DE
5 · 0.2%

Maryland

avg BMI
37.1
Class III
30.8%
on meds
40.0%
Heavier acuity, more cardiometabolic Rx overlap. Staffing must lean toward MD + RN + PT.

North Carolina

avg BMI
36.3
prior Rx wt
39.3%
surgery curious
18.9%
More consumer-informed: higher prior Rx experience. NC market responds to GLP-1 continuity messaging.

Top 15 clinics · new-patient leads

ClinicLeadsavg BMI% DM% prior Rx
Bel Air, MD16436.728.0%28.0%
White Marsh, MD15438.234.4%39.0%
Bowie, MD12437.746.8%32.3%
Westminster, MD11935.522.7%34.5%
Charlotte – Pineville, NC11336.031.9%44.2%
Pasadena, MD11038.420.9%43.6%
Charlotte – Ballantyne, NC10834.233.3%38.0%
Waldorf, MD10537.439.0%35.2%
Owings Mills, MD10338.935.9%34.0%
Easton, MD10235.622.5%30.4%
Odenton, MD8736.637.9%35.6%
Salisbury, NC8437.925.0%41.7%
Kernersville, NC8336.927.7%42.2%
Annapolis, MD8236.023.2%30.5%
Salisbury, MD8037.923.8%20.0%
All 15 clinics shown with full profile. Bowie shows the highest diabetes prevalence at 46.8%; warrants dedicated endocrinology partnership. Charlotte/Pineville has the highest prior-Rx-experience share at 44%; GLP-1-literate audience.
09 Recommendations

Ten moves the data supports today

Each recommendation is directly sourced from a quantified finding above, with the specific evidence called out in-line. All are implementable against the existing CORA intake; Rec 01 additionally proposes a single follow-up question to sharpen routing.

01

Prior Rx weight-loss cohort (GLP-1 rescue, framed honestly)

Section 0334.7% of leads (789) have used a prescription weight-loss medication. Given GLP-1 category dominance since 2023, most recent cases are likely lapsed-GLP-1, but the CORA field is drug-agnostic. Add one follow-up question (which drug, why stopped) so the program can route lapsed-GLP-1 separately from phentermine-era rebound.

02

"Second Chance" post-bariatric track

Section 04121 rebound leads. BMI 37.7, 56% considering surgery again, 87% plateaued, 40% crossing the depression threshold. This is the most distressed, highest-intent niche, at roughly seven leads a month: a premium micro-program, not a volume channel. Price the wrap-around (RD, behavioral, labs) for LTV, not CAC.

03

Score the mood and movement data CORA already collects

Section 0660% high-stress, 44% in pain, 34% flag on depression, 20% on anhedonia. CORA already collects five mood items and four functional items: a PHQ-2-style depression+anhedonia flag (16% positive on both) is in hand, complemented by stress and isolation prompts. Don't bolt on new screeners; score, threshold, and define a clinical escalation path for what is already collected. Lead creative with stress, not depression: nearly twice the prevalence.

04

Age-tiered creative

Section 05The age gradient is sharp: under-35 runs 42% depressed, 68% high-stress, 12% on cardiometabolic meds; 55+ runs 25% depressed, 35% stressed, 65–80% on meds. Under 35: mood, confidence, prevention. Over 45: medication load, mobility, comorbidity management. One creative does not optimize both ends.

05

Instrument the outcomes gap, starting with the broken survey

Section 08Existing-patient self-rated improvement averages 1.31 / 4 across the three CoreLife-benefit items with valid data (overall health 1.49, PCP engagement 1.08, family involvement 1.37). N=90 and likely engaged-biased; the fourth item ("reduced Rx because of CoreLife") returned zero responses, meaning collection for that item is broken. Fix the survey, then deploy longitudinal RTM-style check-ins. Retention is where value leaks.

06

Diagnose the decline before re-accelerating spend

Section 08Q1'26 (Jan–Mar, 338 leads) ran at 60% of Q1'25 (566). Severity markers drifted up modestly (BMI ≥40 +2.4pp, pain +3.4pp, prior Rx +1.9pp); the arriving cohort is heavier, not absent. A plausible hypothesis is funnel erosion to retail GLP-1 (Ro, Hims, WW/Sequence), but CORA alone cannot test it. Audit SEO, paid, and referral channels before the next media dollar is committed.

07

Name a cardiometabolic medical track

Section 0229.5% diabetic or pre-diabetic, 39% on BP, diabetes, or cholesterol medication, concentrated in the 45+ cohort (36–43% DM, 48–80% on meds). Comorbid supervision is exactly where CoreLife beats a retail-GLP-1 script pad. Package a distinct track with T2D plus obesity coding, supervised titration, and PCP co-management: payer-covered, clinically differentiated, retention-favorable.

08

Turn the PCP conversation into a referral channel

Section 0293% saw a physician in the last 12 months; 83% already discussed weight with that PCP. The warm-handoff network exists; it is not being monetized. Build a PCP co-sign and shared-outcomes program; every enrolled patient then compounds into the local primary-care referral base, reversing paid-acquisition dependency.

09

Monetize what patients are already asking for

Section 0285% want a structured meal plan; 84% want a therapeutic exercise program designed for them. Both are attach-rate and retention levers, and the physical infrastructure is the moat against retail GLP-1 (Ro, Hims, WW/Sequence). Price-anchor on the bundle (Rx + RD + facility), not on the prescription alone.

10

Build a distinct product for the under-35 cohort

Section 05The u35 cohort (N=538, 23.6% of leads) carries BMI 37.9 but only 19% DM, 12% on cardiometabolic meds, and 21% considering surgery, while 42% flag on depression and 68% on stress. They are shopping for confidence, prevention, and mood rather than comorbid management. Package a lower-intensity, mental-health-scaffolded offering priced to the lighter clinical load; do not route them into the 45+ medical track.