channel-economics

---
name: channel-economics
description: Use when reviewing direct vs. partner-led channel economics — computing fully-loaded cost to serve, channel ROI, and optimal channel mix during a quarterly channel review.
category: Commercial
version: 1.0.0
tools: []
---

# Channel Economics

Help Head of Commercial, RevOps, or VP Sales answer three questions at the quarterly channel review:

1. What does each channel actually cost to serve, fully loaded? (direct headcount, channel-manager attribution, partner discount, MDF, enablement time, support load, allocated overhead)
2. What is the ROI of each channel under three lenses? (cash ROI year-1, LTV-adjusted ROI, marginal ROI — the next dollar of investment)
3. What is the optimal channel mix subject to strategic constraints? (minimum direct floor, maximum partner-concentration ceiling, sensitivity to CAC shifts)

Emit per-channel verdicts (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT), a sensitivity-tested mix recommendation, and the diminishing-returns inflection point. This is decision support — humans pick the strategy, with the numbers loaded honestly for the first time.

## When to Use
Quarterly channel review where pipeline is mixed (60/40 or 50/50 direct vs. partner) and nobody knows which channel is actually profitable. Considering hiring a channel manager — need to know if the channel clears the loaded-cost bar. Partner-program ROI question from the board ("we spent $X on MDF — what did we get?"). A segment is over-indexed to one channel and mix dogma may be blocking the other. Expanding into a new region and deciding direct-first vs. partner-first. M&A diligence where a target claims "partner-led at 70% gross margin" and needs validation after loading.

Not for: partner-tier design, joint GTM motion, or revshare splits (a partnership-program design question, not an economics one); SDR-to-AE routing, lead scoring, or MQL definitions (a revenue-operations question); strategic decisions like hiring a VP Sales or comp-plan design; historical GAAP channel P&L reporting; per-deal discount approval; pricing-model design.

## Workflow

**Step 1 — Intake channel data.** Capture per channel: deal count TTM, ARR TTM, avg deal size, gross margin %, CAC, sales-cycle days, retention rate, expansion rate, partner discount %, and all attributable costs (SDR/AE/SE/channel manager/CS/support/marketing/partner MDF/tooling/overhead allocation %). Surface the costs teams most often forget: partner enablement time, certification investment, channel-conflict resolution overhead, channel-manager headcount cost.

**Step 2 — Compute cost-to-serve per channel.** Fully-loaded cost-to-serve per deal AND per dollar of ARR, with direct costs broken out from allocated overhead, and a "true gross margin" line after channel-specific load. Flag double-counting and hidden costs. The "true gross margin" line feeds the next two steps.

**Step 3 — Compute ROI per channel under three lenses.** Cash ROI year-1, LTV-adjusted ROI, marginal ROI, the diminishing-returns inflection point, and a deterministic verdict (DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT) that a human can override.

**Step 4 — Optimize channel mix subject to constraints.** Recommend the mix that maximizes effective ARR subject to constraints (min direct %, max partner concentration), plus a sensitivity table (e.g., what if direct CAC rises 20%? what if partner discount widens 5 points?).

**Step 5 — Decide.** Bring the three analyses to the quarterly channel review — the analysis recommends, the human commits.

## Canon
Channel economics: Skok, Bessemer State of the Cloud, Tunguz, Pacific Crest/KeyBanc SaaS Survey, Ramanujam, Jay McBain (Canalys). Cost-to-serve: Kaplan & Cooper (Activity-Based Costing), Horngren, Jeremy Hope, IBM CTS case studies, McKinsey, Gartner, BCG. Anti-patterns: Forrester, Tunguz, Hessling, HBR, SiriusDecisions, MIT Sloan, Gartner.

## Assumptions
Channel economics is forward-looking — historical channel P&L is finance's job; this loads forward economics for a decision. "Channel" means a coherent go-to-market motion (direct outbound, partner-led, marketplace, reseller, OEM), not a marketing source. Cost-to-serve requires honest, consistent overhead allocation across channels — inconsistent allocation causing false partner-margin lift is the #1 anti-pattern. LTV inputs (retention, expansion) are per-channel, not pooled — partner-sourced customers often retain differently than direct-sourced, usually the largest and most ignored economic variable. Industry benchmarks (e.g., SaaS direct CAC payback target ~12 months, enterprise ~18 months) tune defaults, never override actual numbers. Output is verdicts and a recommended mix, never automatic resource reallocation.

## Anti-Patterns
Treating "influenced" deals as "sourced" deals — a partner touching a deal the AE already had is not channel-sourced revenue; loading it inflates partner ROI and direct CAC simultaneously. Inconsistent overhead allocation — e.g., 25% to direct deals, 5% to partner deals "because the partner handles overhead," is false; the partner manager, program, MDF, certification, and conflict-resolution all live in the P&L. Ignoring enablement time as a cost — every hour an AE spends co-selling with a partner is a direct cost charged to that channel. MDF without ROI tracking — Market Development Funds disbursed with no attributable pipeline ROI are just a partner-discount extension. Channel-mix dogma ("we're partner-first," "we don't sell direct") blocking profitable segments — mix should follow the math. Computing channel ROI without a retention differential — a 5-point churn gap overstates partner LTV by 30–50%. No cost-attribution for channel-manager headcount — a $200K channel manager on $4M of partner ARR is $50 of cost per $1K ARR, material to the verdict.

## Forcing Questions (walk one at a time, depth-first, lock 1–3 before opening 4–7)

1. What's your fully-loaded cost-to-serve per channel, including channel-manager headcount, MDF, partner enablement time, and overhead allocation? Recommended: load all four — most teams load partner discount but forget headcount and enablement time, inflating partner margin by 8–15 points. Canon: Kaplan & Cooper (HBR 1988, *Measure Costs Right*) — Activity-Based Costing exists because channel costs hide in overhead and distort margin comparisons.

2. What is the retention differential between direct-sourced and partner-sourced customers? Recommended: instrument per-channel retention before running channel ROI — a 5-point gap moves LTV by 30–50%. Canon: David Skok, *For Entrepreneurs* — LTV = (ARPA × Gross Margin) / Churn; channel-blind churn is the most common source of false channel ROI.

3. What share of "channel-sourced" pipeline did your team actually originate? Recommended: if the AE already had the account, it's channel-influenced, not channel-sourced — different economic lines. Canon: SiriusDecisions/Forrester channel attribution research — confusing source with influence is the #1 reason partner ROI is overstated industry-wide.

4. What is the marginal ROI of the next dollar invested in the partner program vs. direct sales? Recommended: compute the diminishing-returns curve on both — average ROI hides that the next dollar might earn 0.3x while the average earns 2.1x. Canon: Tomasz Tunguz — average ROI is a vanity metric; marginal ROI drives investment decisions.

5. What's your MDF-to-attributable-pipeline ratio over the last 4 quarters? Recommended: below 5:1 (every $1 of MDF should generate ≥ $5 of attributable pipeline within 2 quarters) is partner-discount theatre. Canon: Jay McBain (Canalys), *State of the Channel*.

6. Is your channel-mix dogma blocking a profitable segment? Recommended: surface the dogma explicitly ("we're partner-first," "we don't sell direct in SMB") — mix should follow segment math. Canon: MIT Sloan Management Review — dogmatic single-channel strategies forfeit 15–25% of TAM in mid-market specifically.

7. What overhead-allocation methodology are you applying, and is it consistent across direct and partner? Recommended: same methodology, same denominator, both channels. Canon: Charles Horngren, *Cost Accounting: A Managerial Emphasis* — allocation consistency is the precondition for cross-segment margin comparison.