Blackout / Free Tools
Google Ads Budget + Pipeline Planner
Work backward from customers to clicks. Know what your assumptions demand before you spend.
What should you budget for Google Ads?
Start with customer economics—not a generic monthly minimum. This free Google Ads budget calculator works backward from your customer goal, qualification rate, close rate, and landing-page conversion rate. It estimates the clicks and media spend your assumptions require, then compares them with an acquisition allowance you choose.
For Utah local-service businesses, use evidence for your actual service area. A Salt Lake County campaign, a Utah County campaign, and a nationwide B2B program can have different search demand and economics. The calculator does not know local auction prices or predict how many searches exist.
Build the plan around your economics.
Use one consistent acquisition period and customer-value horizon. Enter your own assumptions, or try the clearly hypothetical sample. All amounts are USD.
The acquisition allocation is the share of contribution you are willing to spend on media—not your profit margin. Other acquisition costs need their own allowance.
The formulas, in plain English
Required raw leads = customer goal ÷ (lead qualification rate × qualified-to-customer close rate). Required clicks = raw leads ÷ click-to-lead conversion rate. Estimated media budget = required clicks × assumed cost per click.
Maximum media CAC = revenue per customer × contribution margin × chosen media allocation. Maximum media CPL = maximum media CAC × qualification rate × close rate. Maximum media CPC = maximum media CPL × click-to-lead conversion rate. Percentages are converted to decimals in the calculations.
The intermediate volumes are expected values; fractional leads are useful modeling arithmetic, not people you can actually purchase. Displayed amounts are rounded, while the calculations use unrounded values.
A transparent example
With 10 new customers as the goal, a 50% qualification rate, a 20% qualified-to-customer close rate, and a 5% click-to-lead rate, the model requires 100 raw leads and 2,000 clicks. At an assumed $4 CPC, media spend is $8,000. If each customer produces $5,000 of revenue at a 60% contribution margin, and 30% of that contribution is allocated to media, the media ceiling is $9,000. These are hypothetical inputs, not Utah or Google Ads benchmarks.
Is the result a recommended daily Google Ads budget?
No. It is a planning-period estimate based on your assumptions. Campaign setup, available demand, daily budget behavior, test duration, and cash-flow limits need a separate review. Do not divide the result into a daily budget without deciding the campaign period and checking the platform’s billing rules.
Does this include management fees or creative?
No. Media spend and contribution after media exclude management fees, creative, tools, sales costs, overhead, and taxes. Contribution margin should already reflect variable delivery costs. Choose a conservative media allocation so other costs and profit are not crowded out.
Can this calculate nationwide or Meta Ads budgets?
The funnel arithmetic is not geography-specific, but the inputs must match the audience, offer, channel, and period. This planner is positioned around Google Ads lead generation. Meta creative testing and demand creation require additional assumptions; ecommerce buyers should also use the break-even ROAS calculator.
Why not provide an average Utah cost per click?
One average would hide industry, intent, competition, seasonality, and location differences. Use your own comparable historical evidence or a relevant planning estimate, then test it. A lower CPC is not useful if the leads do not become customers.
Continue with the Lead Quality & Growth Planner, read Google Ads vs. Meta Ads: budget and lead quality, or explore Google Ads and Meta Ads management in Utah and nationwide.
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Methodology: original Blackout calculations and prioritization rules. Source definitions: Google Search, Google AI impressions, Bing AI Performance, and Lighthouse. Last reviewed September 19, 2026. No ranking, revenue, or advertising-performance guarantee. Privacy policy.