Ad Spend Analyzer
How much should you spend on Meta ads?
Set your monthly revenue goal. Bach works the budget backwards from published e-commerce benchmarks — and shows the month-by-month timeline to get there with consistent spend.
Free · no sign-up · estimates from public benchmarks
Your plan
2.8× is the 2026 e-commerce median; strong accounts reach 4–5×. Have history? Use your own trailing ROAS. See the benchmarks.
Sets your break-even ROAS (1 ÷ margin) — the line your ads must clear before they make money.
Your plan · estimated
Required ad budget
$17,857/mo
Goal reached
Month 4
Break-even ROAS 1.67× at a 60% margin — your 2.8× clears it.
Monthly revenue vs goal · modelled ramp
Modelled monthly revenue: 60% of goal in month 1, 80% in month 2, 95% in month 3, then 100% of goal from month 4 onward.
- Total spend
- $107,143
- Total revenue
- $267,500
- Blended ROAS
- 2.50×
- Est. gross profit
- $53,357
Blended ROAS sits below your 2.8× steady-state on purpose — months 1–3 run at 60–95% of full performance while the account ramps.
Typical accounts waste 20–40% of that budget — $3,571–$7,143/mo — on fatigue, overlap and broken tracking.
Protect this budget — start your free auditPlanning estimates from public category benchmarks — not a guarantee. Your numbers come from your connected account.
Want to see these numbers for your real account?
The analyzer uses public benchmarks. Connect your account and Bach runs 100+ checks on your actual data — for free.
The assumptions behind these numbers
- Budget math: required monthly budget = revenue goal ÷ expected ROAS, at steady state — the standard industry formula.
- Ramp model (modelled planning assumption): ~60% of steady-state performance in month 1, ~80% in month 2, ~95% in month 3, 100% from month 4. Meta's official learning phase exits after roughly 50 conversion events per ad set in a 7-day window — often just days — but new or restructured accounts usually need creative testing and audience iteration before reaching steady state; that is what this conservative ramp models. It is also why blended ROAS over the horizon reads below your steady-state ROAS. Real ramps vary by account.
- Break-even ROAS: 1 ÷ gross margin. At a 60% margin you need 1.67× just to cover product costs. Estimated gross profit = revenue × margin − ad spend; it ignores shipping, payment fees and overheads.
- ROAS default: 2.8× is the 2026 e-commerce median; the 20–40% waste range is the same category benchmark we publish on the benchmarks page.
- Currency: the INR view converts at ₹83 ≈ $1 for display only; it does not affect the math.
FAQ
Budget planning, answered.
How much should I spend on Meta ads?
Work backwards from your revenue goal: monthly ad budget ≈ revenue goal ÷ expected ROAS. At the 2026 e-commerce median ROAS of roughly 2.8×, a $50,000/month revenue goal needs about $17,900/month in ad spend. Strong accounts reaching 4–5× need proportionally less. The analyzer on this page does this math for any goal, ROAS and timeline.
How long until Meta ads reach full performance?
Meta’s official learning phase exits after about 50 conversion events per ad set within a 7-day window — often just days on a healthy budget. Full account performance usually takes longer: creative testing and audience iteration mean months one and two typically run below steady state. A reasonable planning model is ~60% of expected performance in month 1, ~80% in month 2, ~95% in month 3 and full performance from month 4 — with consistent spend. Large budget cuts or edits mid-learning restart the clock.
What is break-even ROAS?
Break-even ROAS = 1 ÷ gross margin. At a 60% gross margin you need 1.67× just to cover product costs — anything above that is gross profit, anything below loses money even while revenue grows. Set your margin in the analyzer and it checks your expected ROAS against your break-even automatically.
What ROAS should I assume for planning?
In 2026 the median e-commerce Meta Ads ROAS is roughly 2.8×; strong performers reach 4–5×. If you have account history, use your own trailing 90-day ROAS instead of a benchmark — it is the single best predictor of your next quarter.
Is this analyzer a guarantee of results?
No. It is a planning estimate built from public category benchmarks and a modelled learning-phase ramp. Your real numbers depend on your product margins, creative, audience and account history. For figures from your own account rather than benchmarks, connect it to Bach for a free audit.