10 Reverse Kpi Global Agent Skill

Reverse KPI Calculation (Global)

Calculate marketing budget by working backward from revenue goal — or forward from available spend to expected revenue. Universal math; currency and benchmark numbers vary per region (US/EU/SEA/LATAM).

For newbies — Read this first

If you've never run a reverse KPI calc:

• Reverse KPI = working backward from a goal. Instead of "I'll spend $5K and see what happens," you say "I want $50K in revenue, so I need X impressions, Y leads, Z customers — therefore the budget is $W."
• It works in two directions:
• Backward: Revenue target → required spend (when you have a goal)
• Forward: Available spend → expected revenue (when you have a budget)
• You always run 3 scenarios. Pessimistic (worst case), Realistic (base case), Optimistic (best case). One number is dangerous — three numbers force you to stress-test.
• Conversion rates are the leverage. Small changes in conversion (e.g., 50% → 55%) cascade up the funnel and change your budget significantly.
• Currency matters. A 5% margin in USD is different in EUR, BRL, or VND. Always pick the right region variant for your benchmarks.
• Don't trust round numbers. "100 leads" is suspicious — real funnels produce odd numbers like 87 or 213.
• Time horizon affects budget. A $50K monthly target needs different planning than a $50K annual target. Always specify the period.

Step 0 — Read context + select region variant

Before calculation:

• Read .agents/product-marketing-context-global.md — get product, AOV, region, currency, target market.
• Pick region variant for benchmark conversion rates and CPM/CPL:
• variants/01-us.md — USD, US benchmarks
• variants/02-eu.md — EUR/GBP, EU benchmarks
• variants/03-sea.md — USD/local, SEA benchmarks
• variants/04-latam.md — USD/BRL/MXN, LATAM benchmarks
• Confirm direction: Reverse (revenue → spend) or Forward (spend → revenue)?

Information gathering

Ask user up to 4 questions:

• What is the goal? Revenue target $X/month? Or available budget $Y to allocate?
• Product/service and AOV? Average order value or deal size in your currency.
• Industry and current channel mix? Industry niche? Channels currently running? Any existing CPL/CPM data?
• Campaign duration? 1 month? Quarter? 6 months? Phased?

Two calculation directions

Direction 1 — Reverse: Revenue → Budget

Use when: "I want to hit $200K/month — how much ad spend do I need?"

Revenue target
  / AOV (average order value)
  = ORDERS NEEDED
  / Booking → Customer rate
  = BOOKINGS NEEDED
  / Lead → Booking rate
  = LEADS NEEDED
  / Click → Lead rate
  = CLICKS NEEDED
  / CTR
  = IMPRESSIONS NEEDED
  × CPM / 1000
  = TOTAL AD BUDGET

For e-commerce (no booking step):

Revenue target
  / AOV
  = ORDERS NEEDED
  / Conversion rate
  = SESSIONS NEEDED (clicks)
  / CTR
  = IMPRESSIONS NEEDED
  × CPM / 1000
  = TOTAL AD BUDGET

For B2B (longer funnel):

Revenue target
  / ACV (annual contract value)
  = CUSTOMERS NEEDED
  / Win rate
  = OPPORTUNITIES NEEDED
  / SQL → Opportunity rate
  = SQL NEEDED
  / MQL → SQL rate
  = MQL NEEDED
  / Lead → MQL rate
  = LEADS NEEDED
  → continue with CPL × LEADS NEEDED = SPEND

Direction 2 — Forward: Budget → Revenue

Use when: "I have $50K — how much revenue can I expect?"

Budget
  / CPM × 1000
  = IMPRESSIONS
  × CTR
  = CLICKS
  × Click → Lead rate
  = LEADS
  × Lead → Booking rate
  = BOOKINGS
  × Booking → Customer rate
  = ORDERS
  × AOV
  = REVENUE

3-Scenario sensitivity analysis (universal)

Scenario structure

Always run three scenarios:

| Variable | Pessimistic | Realistic (Base) | Optimistic |

|----------|-------------|------------------|------------|

| CPM | Industry avg + 30% | Industry avg | Industry avg − 20% |

| Click → Lead | Industry avg − 15% | Industry avg | Industry avg + 15% |

| Lead → Booking | Industry avg − 10% | Industry avg | Industry avg + 10% |

| Booking → Customer | Industry avg − 10% | Industry avg | Industry avg + 10% |

Reading the results

• Pessimistic = budget needed for safety / FX swings / first-month learning curve
• Realistic (Base) = the actual planning number
• Optimistic = aspiration target, used for stretch KPI or commission triggers

> Use Base for budget. Use Pessimistic as buffer. Use Optimistic as stretch goal.

Sensitivity (which lever moves the budget most?)

| Variable | Base value | Change +10% | Budget change | Sensitivity |

|----------|-----------|-------------|---------------|-------------|

| CPM | [#] | +10% | +10% | Direct 1:1 |

| CTR | [#]% | +10% | -9% | High |

| Click→Lead | [#]% | +10% | -9% | High |

| Lead→Booking | [#]% | +10% | -9% | High |

| Booking→Customer | [#]% | +10% | -9% | High |

| AOV | [#] | +10% | -9% (fewer orders needed) | Indirect |

80/20 rule

The two highest-leverage levers are usually:

• CPM — controlled by creative + targeting → optimize via A/B testing
• Lead → Booking — controlled by sales/CS quality → optimize via script + response speed

Break-even calculation

Break-even orders = Fixed costs / (AOV − Variable cost per order)
Break-even days = Break-even orders / (Avg orders per day)

| Item | Value |

|------|-------|

| Fixed costs/month (rent, salary, tools, software) | [#] |

| Ad spend (variable, but allocated upfront) | [#] |

| Total fixed | [#] |

| AOV | [#] |

| Variable cost per order (COGS, shipping, fees) | [#] |

| Profit per order | AOV − VarCost = [#] |

| Break-even orders | Total fixed / Profit per order |

| Break-even days | BE orders / 30 |

| Result | Meaning | Action |

|--------|---------|--------|

| BE < 50% of expected orders | Safe — good margin buffer | Can scale spend |

| BE = 50–80% of expected | Tight — limited margin | Optimize cost first |

| BE > 80% of expected | Risky — easy to lose | Cut costs or raise AOV |

Budget allocation by phase

| Phase | % of budget | Duration | Goal | Primary KPI |

|-------|-------------|----------|------|-------------|

| Teaser / Awareness | 15% | Week 1 | Curiosity, brand build | Reach, video views, saves |

| Soft launch | 20% | Week 2 | Test creative, first leads | CPL, lead, A/B test data |

| Full launch | 40% | Weeks 3–4 | Scale winners, drive sales | ROAS, orders, revenue |

| Maintenance + retarget | 25% | Week 5+ | Retarget, nurture, repeat | CPA, LTV, retention |

Example allocation (budget $80K/month)

| Phase | % | Amount | Days | Daily |

|-------|---|--------|------|-------|

| Teaser | 15% | $12K | 7 | $1,714/day |

| Soft launch | 20% | $16K | 7 | $2,286/day |

| Full launch | 40% | $32K | 14 | $2,286/day |

| Maintenance | 25% | $20K | balance | depends on remaining days |

Channel allocation principles

• Proven channel → 60-70% of budget. Don't dilute by spreading evenly.
• New / test channel → 15-20% of budget. Enough to gather data, not enough to bleed cash.
• Retarget → 10-15% of budget. Highest ROAS — target previously engaged users.
• Switch channels when ROAS < 2x for 2 weeks. Don't wait too long.

ROI projection timeline

| Phase | Duration | Expectation | Track |

|-------|----------|-------------|-------|

| Testing | Weeks 1–2 | No orders yet, testing creative + audience | CPM, CTR, CPL |

| First results | Weeks 3–4 | First orders, ROAS still low | First orders, leads |

| Optimization | Month 2 | ROAS improving, stabilizing | ROAS, CPA |

| Scale | Month 3+ | Stable ROAS, controlled budget increases | ROAS held, revenue up |

| Mature | Month 6+ | Self-running, enough data to forecast | LTV, retention, organic % |

Rules of thumb

| Rule | Explanation |

|------|-------------|

| First 2 weeks lose money | Learning cost — don't panic, don't pause |

| Base ROAS achieved by month 2 | Month 1 is testing, don't judge ROAS yet |

| Scale budget max 20%/week | Faster scaling = performance drops, CPM rises |

| ROAS drops 30% when scaling | Normal — wider audience = lower conv rate |

| Retarget ROAS 2-3x prospecting | Always allocate budget for retargeting |

Cross-reference

| Need | Skill |

|------|-------|

| Full marketing plan first | 00-marketing-plan-global |

| Current performance to inform calc | 03-performance-eval-global |

| Competitive spend benchmarks | 08-competitor-research-global |

| Customer insight to refine conv rates | 09-customer-insight-global |

| Post-campaign data analysis | 13-data-analysis-global |

Quality checklist

Before delivering reverse KPI report:

• [ ] Region variant selected — currency and benchmarks match user's market
• [ ] Direction confirmed (reverse vs forward)
• [ ] Industry-specific conversion rates used (not generic averages)
• [ ] All 3 scenarios calculated (pessimistic, base, optimistic)
• [ ] Sensitivity analysis identifies top 2 levers + how to improve them
• [ ] Break-even calculated with risk grade
• [ ] Phase allocation has specific timeline
• [ ] Channel allocation matches industry mix
• [ ] ROI timeline realistic (no "ROAS 5x in week 1" promises)
• [ ] Total budget consistent across phase + channel breakdowns
• [ ] Seasonality noted if campaign falls on Q4/Tet/Carnival/Black Friday
• [ ] Currency conversion documented if cross-border