Free tool
Google Ads Budget Calculator
Work out how much you need to spend on Google Ads to hit a target lead or sale volume — based on your industry's average CPC, your landing-page conversion rate and a defensible campaign-type split. Updates live as you type.
How the calculator works
Three simple multiplications, with two industry assumptions you can override.
The formula
- Required clicks = target leads ÷ click-to-lead conversion rate
- Monthly ad spend = required clicks × average CPC
- Total budget = ad spend + management fee (% of ad spend)
Campaign-split logic
For lead-gen accounts we allocate 60% Search (highest-intent queries) / 30% Performance Max (broad-match learning, captures non-keyword intent) / 10% YouTube or Display retargeting (warm-audience finishing).
For e-commerce the split tilts toward Shopping-heavy PMax: 50% PMax / 40% Search (branded + high-intent product queries) / 10% Display retargeting. Pure Shopping accounts have largely migrated to PMax since 2023.
Where the CPC presets come from
Industry CPC values are rough public benchmarks aggregated from WordStream's annual Google Ads benchmark report and our own client data across roughly 50 active accounts. They are starting points only — actual CPC in your account will vary by ±50% based on geography, ad quality, Quality Score and seasonality.
What the calculator does NOT include
- Landing-page build cost (typically $500-5000 one-off)
- Creative production for YouTube / Display
- Conversion-tracking setup (GA4 + GTM + offline conversions)
- Tooling (CallTracking, heatmaps, etc.)
On a real engagement these usually add $500-2000/month for the first 3 months and $300-800/month thereafter.
FAQ
How accurate is this budget estimate?
Should I include the management fee in my budget?
What conversion rate should I assume?
How does the campaign-type split work?
Can you help me actually run these campaigns?
Ready to launch?
We manage Google Ads for SaaS, e-commerce and local-services brands. Pricing starts at $1500/month + 15% of ad spend — weekly reports, transparent metrics, no long-term lock-in.