Focus Growth Framework Calculator

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The Focus Growth Framework Calculator — v1.3R (Revenue‑only)

The Focus Growth Framework Calculator

Model a new idea in any bucket: GET MORE BUYERS • SPEND MORE • COME BACK
Scales the impact of your moves (−30% / base / +30%).
Applies typical ranges; tweak as needed.

Baseline

Out of 100 first‑time buyers, how many buy again within 30 days?

Move 1 — Get More Buyers (Traffic/CVR)

Typical: +10–30% from partner plugs or creators.
Typical: +0.2–0.5 pp from a clear 30‑sec demo.

Move 2 — Get Buyers to Spend More (AOV)

Typical: +10–25% with a 2‑pack or simple bundle.

Move 3 — Get Buyers to Come Back (Repeat in 30 days)

Results

New Monthly Revenue

₹0
+0% vs baseline

Revenue Uplift

₹0
Baseline ₹0
Orders (primary)0 → 0
Orders (repeat in 30 days)0 → 0
Average order value₹0 → ₹0
Uplift contribution by bucketT/A/R
Traffic 33% • AOV 33% • Repeat 33% (approx)

Table Of Content

Focus Growth Framework (FGF) Calculator — Estimate how small, realistic lifts in the three FGF steps can change your revenue. Enter your baseline (Sessions, CVR, AOV, Repeat Rate), add expected changes for Get More Buyers (+% buyers), Spend More (+% AOV), and Come Back (+% repeat). You’ll see baseline vs forecast orders, AOV, and revenue. No profit or ad math—this is a simple growth preview.

How to use this calculator

  1. Enter Baseline — Add your current Monthly Sessions, PDP Conversion (CVR%), Average Order Value (AOV), and Repeat Purchase Rate for the chosen window (e.g., 30 days).
  2. Set Step 1: Get More Buyers — Estimate a conservative % lift in new buyers (from creators/partners + a clear 30‑sec demo). Typical first tests: +5% to +20%.
  3. Set Step 2: Spend More — Add an expected % change in AOV from a preselected 2‑pack, simple bundle, or clean checkout bump. Start small: +5% to +15%.
  4. Set Step 3: Come Back — Add a % lift in repeat orders by surfacing refills/accessories and timing gentle reminders. Try +5% to +20%.
  5. Review Outputs — Compare Baseline vs Forecast: first‑order count, repeat‑order count, total orders, AOV, and revenue. Look for realistic changes, not perfect numbers.
  6. Decide One Move — If forecast improves, choose one action for this week (e.g., seed nano‑creators, add 2‑pack, add “What you’ll need next” image) and rerun the model later.

Assumptions & math (lightweight)

Let S = Sessions, c = CVR (decimal), v = AOV, r = Repeat Rate (decimal).
Baseline: FirstOrders₀ = S × c; RepeatOrders₀ = FirstOrders₀ × r; Revenue₀ = (FirstOrders₀ + RepeatOrders₀) × v.
Scenario lifts: b = buyers lift%; a = AOV lift%; k = repeat lift% (all as decimals).
FirstOrders₁ = FirstOrders₀ × (1 + b); RepeatRate₁ = r × (1 + k); RepeatOrders₁ = FirstOrders₁ × RepeatRate₁;
AOV₁ = v × (1 + a); Revenue₁ = (FirstOrders₁ + RepeatOrders₁) × AOV₁.
Note: This is a simple directional model (not cohort LTV). Returns, ads, fees are not included.

Inputs & outputs (at a glance)

Inputs

  • Monthly Sessions (S)
  • PDP Conversion Rate (CVR%)
  • Average Order Value (AOV)
  • Repeat Purchase Rate (r) for the window (e.g., 30 days)
  • Get More Buyers: expected +% buyers (b)
  • Spend More: expected +% AOV (a)
  • Come Back: expected +% repeat (k)

Outputs

  • Baseline vs Forecast Orders: first orders, repeat orders, total orders
  • Baseline vs Forecast AOV
  • Baseline vs Forecast Revenue and Revenue Uplift
  • Headline deltas: +first orders, +repeat orders, +AOV

Worked example

  • Baseline: S = 10,000; CVR = 5% → FirstOrders₀ = 500; r = 20% → RepeatOrders₀ = 100; AOV v = ₹900 → Revenue₀ = (500 + 100) × 900 = ₹540,000.
  • Scenario: b = +20%; a = +10%; k = +15% → FirstOrders₁ = 600; RepeatRate₁ = 23%; RepeatOrders₁ = 138; AOV₁ = ₹990; Revenue₁ = (600 + 138) × 990 = ₹730,620.
  • Uplift vs baseline: +100 first orders, +38 repeat orders, +₹90 AOV, +₹190,620 revenue for the month.

Tips & edge cases

  • Stay conservative: Start with small lifts (5–10%) and scale only after you see real results.
  • One lever at a time: Change buyers, AOV, or repeat—not all three—so you can see what actually moved.
  • Use real baselines: Pull Sessions, CVR, and AOV from Amazon Business Reports for the same window.
  • Don’t stack promos: Avoid overlapping deals that inflate AOV artificially in the short term.
  • Compliance: No review incentives; keep claims accurate and provable; use Amazon‑bound QR/links only.

Glossary

  • Sessions (S): Visits to your Amazon PDP/Store within the period.
  • CVR: PDP conversion rate (orders ÷ sessions).
  • AOV (v): Average order value (₹ per order).
  • Repeat Rate (r): Share of first orders that reorder within the same window (simple model).
  • Buyers Lift (b): % increase in new buyers from traffic moves (creators/partners + demo).

Changelog

  • v1.0 — Initial release: baseline vs forecast view, three FGF levers, simple math callout. (No profit/ad modules.)

FAQs

Where do I find my baseline metrics?
Use Amazon Business Reports for Sessions, CVR, and AOV over the same 30‑day window. For repeat rate, start with a simple estimate (e.g., 10–25%) if you don’t have cohort data.
Can I enter negative values?
Yes—use negative percentages (e.g., −5%) to stress‑test dips in traffic, AOV, or repeat. It helps plan for worst‑case months.
Why doesn’t this include ad costs, fees, or returns?
The FGF calculator is a directional growth model. It shows how the three steps can shift orders and revenue. Profit modules were intentionally excluded to keep it simple.
Does “repeat rate” mean Subscribe & Save only?
No. It’s any reorder in the selected window (e.g., 30 days)—through Subscribe & Save or manual repeat purchases.
What’s a realistic lift to start with?
Common first‑pass inputs: b = +5–15%, a = +5–10%, k = +5–15%. Keep it conservative and iterate.
How should I act on the results?
Pick one move for the week (e.g., nano‑creator seeding, add a 2‑pack variation, surface refills in Brand Story). Re‑run the calculator after changes to see directional impact.
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