Channel Economics skill

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.

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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

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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 for each model in depth: economic structure, typical margin splits, when each works / fails, contract patterns.

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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 for the full TCO framework, per-cost-line guidance, and how to allocate "fully-loaded" sales / marketing / ops costs.

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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.

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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%

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Channel conflict

Channel conflict happens when multiple sales paths chase the same customer. Common forms:

Direct-vs-partner conflict

Scenario	Resolution pattern
Direct rep finds opportunity also touched by partner	Deal registration: first to register wins; partner gets credit if they brought it
Partner finds direct customer	If direct is already engaged: partner deferred (with consolation MDF perhaps); if not: partner leads
Customer asks for direct after partner-led pilot	Honor partner relationship for term; transition at next renewal if appropriate

Partner-vs-partner conflict

Scenario	Resolution pattern
Two resellers both pursuing same account	First-registered wins; second is offered alternative leads / regional swap
Vertical specialist vs geographic	Vertical wins (customer values vertical expertise more)
New partner pursues incumbent partner's customer	Incumbent has right of first refusal for 90 days

Marketplace-vs-direct conflict

Customer can buy via AWS Marketplace OR direct. If price is lower direct, customer feels gamed. If price is same, why not just use marketplace? Common resolution:

• Same price direct vs marketplace (customer doesn't get punished for procurement choice)
• Quota credit to the direct rep when customer chooses marketplace (so rep isn't disincentivized)
• Marketplace listing visibility as a value-add, not as a different pricing channel

See references/channel-conflict-resolution.md for the full conflict-resolution playbook including deal registration process, neutral arbitration, conflict-of-interest disclosure.

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Clarify First

Before modeling the channel economics, settle the inputs below. When one is missing or vague and would change the result, ask about it; when it wouldn't, use a sensible default and say which one you used.

• Channel model(s) in scope: direct, reseller/VAR, distributor, marketplace, OEM, or MSP (sets which decision-tree branch and TCO comparison to run).
• Target ACV / price point: sub-$10k vs mid-market vs enterprise (selects the viable channel branch and sizes per-deal margin).
• Fully-loaded cost lines: COGS %, allocated sales/marketing/ops/support costs (drives the TCO contribution-margin model, not just the headline discount).
• Partner contribution + tier intent: what the partner does (lead, sell, implement) and whether you're designing tiers/rebates (drives tier economics + rebate/SPIFF mix).

Ask about the two or three inputs that matter most for this request, not the whole list. If the user wants a result straight away, produce it and state your assumptions at the top.

End-to-end workflows

Workflow: Design a new partner program

1. Pick channel models — direct + reseller? marketplace? OEM? — using the decision tree
2. Model the economics — scripts/channel_margin_calculator.py per channel option at expected ACV
3. Design tier structure — scripts/partner_tier_economics.py to size the gates and benefits
4. Define rebate / SPIFF mix — per tier and partner type
5. Write the partner agreement (with business-growth/contract-and-proposal-writer)
6. Build channel ops — deal registration, MDF approval, certification tracking
7. Hire channel manager(s) — usually 1 manager per 10-15 active partners
8. Pilot with 3-5 partners — measure, iterate, then scale

Workflow: Evaluate a specific partner deal

1. Inputs: ACV, partner discount %, expected close, partner's contribution (lead source? sales effort? implementation?)
2. Calculate net contribution — scripts/channel_margin_calculator.py --deal deal.yaml --channel partner
3. Compare to direct alternative — would this deal have closed direct? at what cost?
4. Decide: approve / counter / decline (often via deal desk if it's a non-standard partner discount)

Workflow: Channel mix analysis

1. Inputs: actual revenue by channel for last 4 quarters
2. Run mix optimizer — scripts/channel_mix_optimizer.py --revenue revenue.csv examines contribution margin per channel + identifies under-/over-invested channels
3. Recommend rebalancing — e.g., "Reseller channel: 20% of revenue, 8% of contribution margin — reduce investment; marketplace: 15% of revenue, 25% of contribution — increase listing visibility"
4. Quarterly review: present to CRO / CFO

Workflow: Resolve a channel conflict

1. Document the conflict — accounts involved, parties, history
2. Apply the registration rule — first-registered partner wins absent overriding facts
3. Consider exceptions — strategic logo, customer preference, vertical expertise
4. Communicate decision — both parties, with reasoning, in writing
5. Compensate the loser — alternative leads, MDF, regional swap; preserve the relationship

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Anti-patterns

• Direct + partner at same price. Customer feels punished for not using direct (or vice versa); kills partner motivation. Price-to-customer must be consistent across channels.
• Discount-only partner program. Partners that only get a discount have no skin in your success; treat you as another vendor; switch easily.
• Endless partner expansion without enablement. Signing 200 partners that don't sell anything; channel manager headcount can't scale; partners stale.
• Marketplace as afterthought. Listing on AWS Marketplace without dedicated investment (listing optimization, co-sell programs) = marketplace generates nothing.
• Channel manager as glorified email forwarder. CM should drive partner pipeline, not just relay leads.
• Rebates with no audit. Partner self-reports revenue; you trust it; reality is 20% off. Build verification.
• MDF spent on activities that don't drive pipeline. Partner runs a great event, generates no pipeline. MDF should require pipeline outcome.
• Channel conflict policy that isn't followed. Policy says first-registered wins, but exec overrides every time → policy is theater.
• Different commission per channel for same deal. Direct rep gets 8% on $100k deal, channel rep gets 6% on $100k deal — direct rep refuses partner help; channel rep undercut.
• OEM / embedded deals priced like resale. OEM = customer doesn't see you at all; ASP can be 50-80% of list. Resale = customer sees you. Different economics; different price points.

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Tooling outputs

Script	Input	Output
scripts/channel_margin_calculator.py	Deal spec YAML + channel type	Per-channel net contribution margin, cost line breakdown, comparison vs direct baseline
scripts/partner_tier_economics.py	Tier definitions YAML	Per-tier: gross margin to us, gross margin to partner, partner break-even, tier graduation incentive analysis
scripts/channel_mix_optimizer.py	Revenue CSV (by channel + quarter)	Per-channel revenue contribution, per-channel margin contribution, recommended rebalancing

All scripts: stdlib only, argparse CLI, JSON or markdown output.

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Scope & Limitations

In Scope:

• Channel model selection with the decision tree across self-serve, direct, reseller/VAR, distributor, marketplace, OEM/embedded and MSP
• Per-deal net contribution margin and TCO comparison by channel with scripts/channel_margin_calculator.py, including an all-channel comparison
• Partner tier economics (margin to vendor and partner, partner break-even, graduation incentive) with scripts/partner_tier_economics.py
• Channel mix analysis and rebalancing recommendations from a revenue and cost CSV with scripts/channel_mix_optimizer.py
• Front-end discount, back-end rebate and MDF/SPIFF mix design, and channel conflict resolution patterns

Out of Scope:

• Strategic partnership design and partner evaluation (see business-growth/partnerships-architect/)
• Approval of individual non-standard partner deals (see business-growth/deal-desk/)
• Drafting partner agreements (see business-growth/contract-and-proposal-writer/)
• Setting list pricing (see business-growth/pricing-strategy/)
• Running channel operations such as deal registration, MDF approval and certification tracking (see sales-success/sales-operations/)

Important Caveats:

• The scripts read deal, tier and revenue data from YAML and CSV files you prepare. They do not connect to a CRM, partner portal or marketplace account, and their built-in YAML parser handles simple maps and lists only.
• Margin splits, marketplace fees, tier thresholds, rebate mixes and the ACV bands in the decision tree are illustrative. Replace them with your own contract terms and cost data.
• Results depend on how sales, marketing, enablement, ops and support costs are allocated to each channel. A different allocation can change which channel looks best.

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References

• channel-models-direct-partner-marketplace.md — 6 channel models in depth + economic structure + when each works
• margin-and-tco-frameworks.md — full TCO framework, allocation guidance, per-channel cost models
• channel-conflict-resolution.md — registration process, conflict patterns, arbitration

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Related skills

• business-growth/partnerships-architect — strategic partnership design (this skill = the economics; that one = the strategy)
• business-growth/deal-desk — approval mechanics for partner deals (this skill = "what does it cost"; deal desk = "should we approve")
• business-growth/pricing-strategy — sets list pricing that channel economics deviates from
• business-growth/revenue-operations — channel revenue is segmented in RevOps reporting
• business-growth/contract-and-proposal-writer — drafts partner agreements
• sales-success/sales-operations — runs channel ops (deal registration, MDF approval, certification tracking)
• c-level-advisor/cs-cro-advisor — strategic channel-mix decisions are CRO-level