/cs-channel-econ¶
Run the channel-economics skill on this input:
$ARGUMENTS
Three-tool workflow¶
-
channel_mix_optimizer.py— Per-channel effective LTV, payback period (CAC / monthly margin), LTV/CAC efficiency ratio. Recommends mix maximizing effective ARR subject to constraints (min_direct_pct, max_partner_concentration). Sensitivity table (what if direct CAC rises 20%?). -
cost_to_serve_calculator.py— Fully-loaded cost-to-serve per deal AND per $ ARR. Breaks out direct costs vs allocated overhead. Computes "true gross margin" after channel-specific load. Surfaces hidden costs (partner enablement time, certification investment, conflict resolution overhead). -
channel_roi_analyzer.py— ROI per channel with 3 lenses: cash ROI year-1, LTV ROI, marginal ROI (diminishing-returns curve). Verdict: DOUBLE-DOWN / MAINTAIN / DEFUND / EXIT + diminishing-returns inflection point.
Hard rule¶
No channel ROI computation without retention differential. Channel CAC alone is meaningless — partner-channel customers often have different retention than direct.
Distinct from¶
- Sibling
partnerships-architect— partnership structure (tier, GTM, revshare). Channel-economics is the math. business-growth/revenue-operations— process (lead routing, SDR motion)c-level-advisor/cro-advisor— strategicfinance/financial-analysis— close + report (backward-looking); channel-economics is forward per-channel economics