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How much budget do you need for Google Ads?

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The Short Answer

Plan a realistic starting budget around 1,500 to 3,000 EUR per month for most lead-gen accounts in DACH. The exact figure depends on your cost per click and how many conversions you need per week to exit the learning phase, usually 30 to 50.

Budget for Google Ads is not a single number, it is a function of three inputs: your average cost per click, the conversion rate of your landing page, and how many conversions you need before bidding stabilises. Work backwards from a target. If a click costs 2 EUR, your page converts at 5 percent, and you want 30 conversions in 30 days to feed the algorithm, you need roughly 600 clicks, so about 1,200 EUR in pure click cost plus headroom for testing.

Smart Bidding strategies like Maximize Conversions or Target CPA need data to work. Google's learning phase typically wants somewhere around 30 conversions in the trailing 30-day window before performance settles. If your budget is so small that you collect five conversions a month, the system never gets enough signal and you sit in a permanent learning state with volatile results. Underfunding is the single most common reason small accounts feel like Google Ads does not work.

Cost per click varies enormously by sector. Broad consumer services in DACH often sit between 0.50 and 2 EUR. Competitive B2B, legal, finance and insurance terms can run 5 to 15 EUR or higher. Before you commit a number, pull real estimates from Keyword Planner for your actual terms and your actual region, then multiply by the click volume you need. A generic benchmark is a starting point, not a plan.

Split your budget into a core and a test layer. Put 70 to 80 percent behind your proven money keywords and campaigns, and reserve 20 to 30 percent for testing new keywords, audiences and ad variants. Without a test layer you optimise yourself into a corner. With one you keep finding cheaper conversions over time. Daily budgets are a guideline, Google can spend up to roughly twice your daily cap on a high-demand day and averages out across the month.

Budget and cost are different questions. This page is about how much to commit and why. If you want detailed price ranges per click, per lead and per management fee by industry, read our dedicated cost breakdown at /costs/google-ads-costs. Use this page to decide your monthly commitment, then use the cost page to sanity-check whether your numbers are realistic for your vertical.

Once you are spending, judge the budget by output, not by feeling. Track cost per qualified lead, not just cost per click, which means conversion tracking must be correct from day one. If your cost per lead is profitable and you are constrained by budget rather than by demand, that is the signal to scale. If it is unprofitable, fix targeting, copy and landing pages before adding money. More budget on a broken setup just loses money faster.

Checklist

  • Pull real CPC estimates from Keyword Planner for your terms and region
  • Target at least 30 conversions per 30 days to exit the learning phase
  • Reserve 20 to 30 percent of budget for testing
  • Set conversion tracking before you spend a single euro
  • Judge budget by cost per qualified lead, not cost per click

Frequently Asked Questions

There is no hard minimum, but below roughly 500 EUR per month most accounts collect too few conversions to train Smart Bidding. For competitive B2B keywords the practical floor is higher, often 1,500 EUR or more, because clicks cost far more.

Yes, but not so small that you starve the learning phase. Start at a level that produces at least 30 conversions a month, prove a profitable cost per lead, then scale budget while watching that the cost per lead holds.

Google can spend up to about twice your daily cap on a high-demand day and less on slow days. Over a calendar month the average daily spend stays within your set budget, so judge it monthly.

Not sure what to spend?

Tell us your goals and vertical and we will model a starting budget that actually generates data, leads and a profitable cost per acquisition.