channel-economics
Channel economics: design and analyze the financial structure of go-to-market channels (direct sales, resellers, distributors, marketplaces, embedded partners, MSPs, integrators). Use when picking the right channel mix for a product, modeling partner margin / TCO, designing partner tiers with rebate structures, analyzing channel conflict, or building the financial model that justifies (or kills) a partnership. Pairs with our partnerships-architect (partnership type / strategy) and deal-desk (partner-deal mechanics) — this one is the spreadsheet behind those conversations.
What this skill does
# Channel Economics
End-to-end financial modeling and design of go-to-market channels: direct sales economics, reseller / distributor margin structures, marketplace fees, partner tier economics, channel conflict resolution, and the TCO frameworks that compare channel options apples-to-apples.
This skill provides the financial backbone for channel strategy. For strategic partnership design (which channel to invest in, how to structure the partnership), see `business-growth/partnerships-architect`. For partner-deal-level approval mechanics, see `business-growth/deal-desk`.
---
## When to use this skill
| Situation | Skill applies |
|-----------|---------------|
| Deciding direct vs partner-led for a new product | Yes — start with **channel model decision tree** |
| Designing a partner tier structure (silver/gold/platinum) | Yes — see **partner tier economics** |
| Modeling a specific partner deal's margin / payback | Yes — `scripts/channel_margin_calculator.py` |
| Analyzing channel conflict (overlapping direct + partner deals) | Yes — see **channel conflict** + `scripts/channel_mix_optimizer.py` |
| Building a partner program rebate / SPIFF structure | Yes — see **rebate design** |
| Comparing AWS Marketplace vs direct list-price economics | Yes — `scripts/channel_margin_calculator.py --channel marketplace` |
| Negotiating a specific partner contract | Use `business-growth/contract-and-proposal-writer` for the contract; this for the economics |
| Strategic partnership design (joint go-to-market, OEM, white-label) | Use `business-growth/partnerships-architect` first |
---
## The channel model decision tree
Six core channel models. Most companies use a mix.
```
What's the product's complexity + price point?
Low complexity, low price (< $10k ACV):
├── Self-serve / PLG → no channel
├── E-commerce → direct via web
└── Marketplace (AWS / Azure / GCP / Salesforce AppExchange) → if buyer already there
Medium complexity, mid-market price ($10k - $250k ACV):
├── Inside sales / SDR-led direct → if buyer journey is well-understood
├── Reseller / VAR (Value-Added Reseller) → if local presence / language matters
├── Marketplace → if buyer prefers procurement via existing relationship
└── Embedded / OEM → if your product is a component in someone else's offering
High complexity, enterprise ($250k+ ACV):
├── Direct field sales → standard for high-touch enterprise
├── Strategic SI / Integrator (Accenture, Deloitte, etc.) → if implementation is a substantial project
├── ISV / Embedded → if you're a feature in a larger platform
└── Reseller / Distributor → for regional or vertical specialty
Operational / managed-service buyer:
└── MSP (Managed Service Provider) → if customer wants outsourced operations
```
See [references/channel-models-direct-partner-marketplace.md](references/channel-models-direct-partner-marketplace.md) for each model in depth: economic structure, typical margin splits, when each works / fails, contract patterns.
---
## Margin and TCO framework
Apples-to-apples channel comparison requires a consistent TCO model. The naive comparison ("direct gets 100%, reseller gets 70%") misses critical costs.
### True channel TCO formula
```
Channel Contribution Margin
= Channel-attributed Revenue
− COGS
− Partner Discount/Commission
− Channel-specific Sales Cost (allocated)
− Channel-specific Marketing Cost (MDF, co-marketing)
− Partner Enablement Cost (training, certification)
− Channel Operations Cost (channel manager headcount)
− Channel-specific Support Cost (T1 partner support)
```
### Side-by-side comparison
For a $100k ACV deal:
| Component | Direct | Reseller (30% off) | AWS Marketplace |
|-----------|--------|---------------------|-----------------|
| Customer payment | $100,000 | $100,000 | $100,000 |
| Reseller / marketplace fee | $0 | -$30,000 (30% discount) | -$3,000 (3% AWS fee) |
| Revenue to us | $100,000 | $70,000 | $97,000 |
| COGS (15%) | -$15,000 | -$10,500 | -$14,550 |
| Sales cost (allocated CAC) | -$25,000 | -$5,000 | -$8,000 |
| Marketing cost (MDF / listing) | -$2,000 | -$8,000 | -$5,000 |
| Partner enablement (amortized) | $0 | -$3,000 | -$1,500 |
| Channel ops (amortized) | $0 | -$2,000 | -$1,000 |
| Support cost | -$5,000 | -$3,000 | -$5,000 |
| **Net contribution** | **$53,000** | **$38,500** | **$61,950** |
| **% of ACV** | 53% | 38.5% | 62% |
The "30% discount" reseller deal is more like 14.5% margin difference once everything's counted. Marketplace can look better than direct on per-deal basis (Amazon's sales team brings the buyer) — but volume varies.
Use `scripts/channel_margin_calculator.py --deal deal.yaml --channel <type>` to model this for any deal.
See [references/margin-and-tco-frameworks.md](references/margin-and-tco-frameworks.md) for the full TCO framework, per-cost-line guidance, and how to allocate "fully-loaded" sales / marketing / ops costs.
---
## Partner tier economics
Multi-tier partner programs (Authorized → Silver → Gold → Platinum) are common. Designed badly, they reward effort that isn't valuable; designed well, they reward outcomes that drive growth.
### Standard tier structure
| Tier | Annual revenue threshold | Discount % | Other benefits | Requirements |
|------|-------------------------|------------|----------------|--------------|
| Authorized | None | 10% | Standard support | Sign partner agreement; 1 certified person |
| Silver | $100k | 15% | Co-marketing eligible (limited MDF) | $100k achieved; 3 certified people; 2 customer wins |
| Gold | $500k | 20% + 5% rebate at threshold | Dedicated channel manager; MDF; deal registration; lead sharing | $500k achieved; 5 certified; 5 wins; 80% renewal rate |
| Platinum | $2M | 25% + 7% rebate at threshold | Top-tier support; joint roadmap; preferred status; press release rights | $2M achieved; 10 certified; 10 wins; 90% renewal; participation in advisory board |
### Tier design principles
1. **Outcome-based, not effort-based.** Reward revenue + retention, not training hours or marketing event count.
2. **Achievable but stretching.** Each tier should be a 12-18 month stretch from the prior.
3. **Differentiable benefits.** Each tier needs benefits a partner actively wants (not just "more support").
4. **Renewable status.** Tiers re-evaluated annually. Partners can move down if they don't maintain.
5. **Anti-gaming protection.** Discount-stacking, registration gaming, transfer pricing — design out.
Use `scripts/partner_tier_economics.py --tiers tiers.yaml` to model tier economics: gross margin per tier, partner-side incentive, break-even revenue per partner per tier.
---
## Rebate / SPIFF design
Three common reward structures, each with trade-offs:
### Front-end discount
Partner buys from you at a discount; sells to customer at list (or close). Margin = the spread.
**Pros:** Simple. Cash flow goes to partner immediately.
**Cons:** Hard to incentivize specific behaviors. Discount is locked in regardless of performance.
### Back-end rebate
Partner pays full price (or near it); earns rebate quarterly / annually based on revenue / tier achievement.
**Pros:** Ties reward to actual achievement; behaviors can be incentivized (e.g., bonus for selling new products).
**Cons:** Cash-flow burden on partner. Complex to administer.
### MDF (Marketing Development Funds) / SPIFF
Per-deal or per-period bonuses for specific actions: bring leads, attend events, certify staff.
**Pros:** Highly targetable. Rewards specific behaviors you want.
**Cons:** Easy to game; admin overhead high; partners often expect it without producing.
### Typical mix
| Partner type | Front-end | Back-end | MDF/SPIFF |
|--------------|-----------|----------|-----------|
| Reseller (transactional) | 70-80% of total comp | 10-20% | 5-10% |
| VAR (consultative selling) | 50-60% | 20-30% | 10-20% |
| Distributor (volume play) | 80-90% | 5-15% | 5% |
| ISV / Embedded | n/a (rev share) | 100% | 0 |
| MSP | 40-60% | 20-30% | 10-30% |
---
## ChanneRelated in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.