Where should Medicare marketers invest — and what should shape the strategy?
Market opportunity, D-SNP audience landscape, competitive positioning, policy guardrails, campaign planning, and evidence-backed marketing strategy.
Unless a figure names its own vintage, it comes from the April 2026 CMS county file and the August 2026 CMS SNP Comprehensive Report. Derived scores are labeled modeled.
Where should I look first?
Five questions, in the order a marketing plan is usually built. Start with the first; each question opens the evidence behind it. Modeled figures are labelled modeled and are prioritization aids, not predictions.
Where to investMarket opportunity, market size, headroom, momentum and D-SNP context.
beta Which markets deserve the next marketing dollar?
live Where is the D-SNP marketing opportunity?
Who and what is thereAudience, competition, carrier position, D-SNP landscape and market structure.
beta What does this Medicare market look like beyond enrollment?
live What are competitors bringing to market, and where is the message space?
- MA & D-SNP Competitive Lens →Carrier share, Contract/PBP movement and D-SNP positioning (PA, WV, DE, NY regions)
- Carrier & plan intelligence →Carriers, Stars, plan exits and successors
- SNP enrollment →D-SNP, C-SNP and I-SNP by plan and state
How to competeProduct positioning, benefits, competitive differentiation, and the policy context that limits what can be said.
live What changed in CMS policy, and what does marketing need to change?
live What should the Medicare marketing team be planning now?
- Benefits vs market (Competitive Lens) →Validated CMS PBP and Landscape benefits, footprint only
National benefit comparison: not yet available from validated normalized CMS benefit data outside the Competitive Lens footprint. It is a data gap, not a design one; no benefit figure is estimated in its place.
Can it pay backCampaign economics from your own assumptions. Observed data, your assumptions and modeled outputs are labelled apart.
beta What would have to be true for this campaign to pay back?
live observed CMS data · assumption your inputs · modeled outputs computed from both. No response or conversion rate is supplied by MedicareInsights.
What to investigate nextAn evidence-backed strategy brief: what the data shows, what it does not, and what to check before acting.
So what / Now what Interpretation
The market picture a marketer needs is mostly already published: county size, penetration, twelve-month momentum, dual density, D-SNP market-sizing proxy, carrier structure and integration mix are all in named CMS files. What is not published is benefit-level comparison, plan exits by county and contract-level Stars, and those are precisely the inputs that would turn an investment ranking into a positioning argument. Everything on this hub is built from the first list and explicit about the second.
- Start with the opportunity ranking in the mode that matches the product you are marketing, then read the component table before you argue for the budget.
- If duals are in scope, the D-SNP view is the one that changes plans: the market-sizing proxy and integration vary far more by state than MA & other health plan share does.
- Before creative starts, walk the policy lens and the calendar. Most marketing rework in this category is a date problem, not a message problem.
- Hand the shortlist to Sales intelligence once the markets are chosen, so field deployment and media are pointed at the same counties.
Sources and vintage
| Dataset | Source | Vintage | Status |
|---|---|---|---|
| MA and other health plan enrollment and share by county | CMS Medicare Monthly Enrollment (BENE_GEO_LVL=County) | April 2026 | live |
| Dual-eligible counts by county | CMS Medicare Monthly Enrollment (DUAL_TOT_BENES / FULL_DUAL_TOT_BENES) | April 2026 | live |
| SNP enrollment, integration and plans | CMS SNP Comprehensive Report (SNP_REPORT_PART_17) | August 2026 | live |
| Marketing Opportunity Score | Derived, tools/build_marketing_data.py v0.1 | 2026-08-26 | modeled |
Full methodology: Marketing Opportunity Score · site methodology.