multi-program-manager
Multi-Program Manager
Manage and compare multiple affiliate programs as a portfolio — overview, performance comparison, diversification strategy, program switching decisions, and revenue allocation. Output is a portfolio dashboard with strategic recommendations and a weekly action plan.
Stage
S7: Automation — Most affiliates either promote too few programs (concentration risk) or too many (effort dilution). This skill applies portfolio thinking to affiliate marketing: analyze your programs like investments, identify which to double down on, maintain, or drop, and allocate your limited time for maximum ROI.
When to Use
- User manages multiple affiliate programs and wants a strategic overview
- User asks "which program should I focus on?" or "should I drop this program?"
- User wants to diversify their affiliate income
- User says "compare my programs", "portfolio review", "program strategy"
- User is deciding whether to add or remove programs
- Chaining from S6.3 (performance-report): take performance data and make strategic decisions
Input Schema
programs:
- name: string # REQUIRED — program name
affiliate_url: string # OPTIONAL — affiliate link
reward_value: string # OPTIONAL — commission (e.g., "30% recurring")
reward_type: string # OPTIONAL — "cps_recurring" | "cps_one_time" | "cpl" | "cpc"
monthly_revenue: number # OPTIONAL — avg monthly revenue ($)
monthly_clicks: number # OPTIONAL — avg monthly clicks
niche: string # OPTIONAL — product category
status: string # OPTIONAL — "active" | "paused" | "new" | "considering"
goal: string # OPTIONAL — "maximize_revenue" | "diversify"
# | "reduce_risk" | "find_gaps"
# Default: "maximize_revenue"
budget_hours: number # OPTIONAL — weekly hours available for content
# Default: 10
Chaining context: If S1 program research or S6.3 performance data exists in conversation, pull program details and metrics automatically.
Workflow
Step 1: Build Portfolio Overview
Compile all programs into a dashboard:
- Program name, niche, commission type, commission value
- Monthly revenue, clicks, EPC
- Status (active/paused/new)
- Revenue share (% of total)
Step 2: Calculate Per-Program Metrics
For each program with data:
- EPC: revenue / clicks
- Revenue Share: program revenue / total revenue × 100
- Effort-to-Revenue Ratio: estimated hours spent / revenue generated
- Commission Quality Score: recurring > one-time > per-lead > per-click
Step 3: Apply Portfolio Analysis
Concentration Risk:
- If top program > 50% of revenue → HIGH RISK
- If top 2 programs > 80% → MODERATE RISK
- If no program > 30% → WELL DIVERSIFIED
Niche Overlap:
- Multiple programs in same niche → competing for same audience
- Different niches → healthy diversification
Revenue Stability:
- Recurring commissions → stable
- One-time commissions → volatile (need constant new traffic)
Step 4: Generate Recommendations
For each program, assign an action:
- Double Down: High EPC, room to grow → create more content, scale traffic
- Maintain: Solid performer, no changes needed → keep existing content fresh
- Optimize: High traffic but low conversion → improve CTAs, landing pages, test variants
- Phase Out: Low EPC, low growth potential → redirect effort to better programs
- Add: Gap identified → research new programs with S1
Step 5: Create Action Plan
Based on budget_hours, allocate weekly time:
- Double-down programs get 50% of time
- Maintain programs get 20%
- Optimize programs get 20%
- New program research gets 10%
Provide specific weekly tasks tied to Affitor skills.
Step 6: Self-Validation
Before presenting output, verify:
- Revenue share percentages sum to ~100%
- EPC calculations correct (revenue ÷ clicks per program)
- Concentration risk accurate (flag if top program >50% of revenue)
- Actions match performance: double_down (Star), maintain (Cash Cow), optimize (Question Mark), phase_out (Dog)
- Weekly time allocation sums to user's stated hours budget
If any check fails, fix the output before delivering. Do not flag the checklist to the user — just ensure the output passes.
Output Schema
output_schema_version: "1.0.0" # Semver — bump major on breaking changes
portfolio:
total_programs: number
active_programs: number
total_monthly_revenue: number
concentration_risk: string # "high" | "moderate" | "low"
niche_diversification: string # "good" | "overlapping" | "single_niche"
revenue_stability: string # "stable" | "moderate" | "volatile"
programs:
- name: string
niche: string
reward_type: string
monthly_revenue: number
epc: number
revenue_share: number
action: string # "double_down" | "maintain" | "optimize" | "phase_out"
reason: string
recommendations:
- action: string
program: string
skill: string # which Affitor skill to use
task: string # specific task
priority: number # 1 = highest
weekly_plan:
total_hours: number
allocation:
- program: string
hours: number
tasks: string[]
Output Format
- Portfolio Dashboard — table with all programs, revenue, EPC, revenue share
- Portfolio Health — concentration risk, diversification, stability assessment
- Program Scorecards — per-program action (double down / maintain / optimize / phase out) with reason
- Strategic Recommendations — prioritized list of actions with Affitor skill references
- Weekly Action Plan — hour-by-hour allocation with specific tasks
Error Handling
- Only one program: "You have a single program. That's 100% concentration risk. I'll analyze it and recommend 2-3 complementary programs using S1 (affiliate-program-search)."
- No revenue data: "Without revenue data, I'll analyze based on commission structure and niche overlap. For deeper analysis, run S6.3 (performance-report) first to get your numbers."
- All programs in same niche: "All your programs are in [niche]. You're diversified by product but not by market. If [niche] declines, all your income is at risk. Consider adding programs in adjacent niches."
Examples
Example 1: Portfolio with clear winner
User: "I promote HeyGen ($450/mo), Semrush ($320/mo), Notion ($125/mo), Canva ($80/mo). Which should I focus on?" Action: HeyGen is the star (46% revenue, likely highest EPC). Recommend: Double down on HeyGen (more blog content, S7 content-repurposer). Maintain Semrush. Optimize Notion (high conversion rate potential). Evaluate Canva (low revenue, is it worth the effort?). Weekly plan: 5h HeyGen, 2h Semrush, 2h Notion, 1h research.
Example 2: Diversification analysis
User: "I make $2K/month from 3 SaaS tools. How do I reduce risk?" Action: All income from one niche (SaaS) = moderate risk. Recommend: Add 1-2 programs in adjacent niches (e.g., online courses, hosting). Check commission types — if all one-time, recommend adding recurring programs. Use S1 to research programs in new niches.
Example 3: Program switching decision
User: "Should I drop Canva ($80/mo, 500 clicks) and replace it with Jasper?" Action: Canva EPC = $0.16 (low). Calculate opportunity cost: 500 clicks redirected to a $0.50+ EPC program = $250/mo potential. Research Jasper commission (likely $100+ per sale). Recommend: Yes, switch. Use S1 to evaluate Jasper, then S3 for a comparison blog post.
References
shared/references/affiliate-glossary.md— Portfolio and commission terminology. Referenced in Step 2.shared/references/flywheel-connections.md— master flywheel connection map
Flywheel Connections
Feeds Into
commission-calculator(S1) — managed programs for portfolio calculationfunnel-planner(S8) — portfolio data for funnel planning
Fed By
affiliate-program-search(S1) — new programs to add to portfolioconversion-tracker(S6) — performance data per programperformance-report(S6) — portfolio performance trends
Feedback Loop
performance-report(S6) reveals underperforming programs → recommend swaps or investment reallocation
chain_metadata:
skill_slug: "multi-program-manager"
stage: "automation"
timestamp: string
suggested_next:
- "commission-calculator"
- "performance-report"
- "affiliate-program-search"