Google Ads works for SaaS when the conversion signal you feed it reflects real pipeline value rather than raw form fills. Automated bidding optimizes toward whatever you tell it to value, so a poor conversion definition produces efficient acquisition of the wrong leads.
Most of the manual optimization work in Google Ads has been automated away. What remains is more consequential and less discussed: deciding what the machine should optimize toward.
Give it a conversion signal that counts every form fill equally and it will efficiently buy you the cheapest form fills available. It is doing exactly what you asked.
The conversion signal is the whole strategy
If a newsletter signup and a demo request both count as one conversion, smart bidding will chase newsletter signups, because they are cheaper and more plentiful. This is measurable: Dreamdata's 2026 benchmarks, attributing to closed-won revenue rather than form fills, put Google Search at 67% return on ad spend at the median and 138% for top performers, a gap driven largely by what the account was optimizing toward. Those values should come from the same sales reporting the rest of the business uses, and GA4 needs configuring to pass them back.
Fix this before touching anything else. Assign values that reflect real downstream worth, and import qualified opportunities back from the CRM so the algorithm optimizes toward pipeline rather than toward activity.
Structure for signal, not for tidiness
Highly granular account structures made sense when humans set bids per keyword. Now they starve each campaign of the conversion volume automated bidding needs to learn.
Consolidate into themes with enough conversions to be statistically meaningful. Fewer, better-fed campaigns beat many precisely-segmented ones that never exit the learning phase.
Which bidding strategy should you use?
Start with maximize conversions while you accumulate data, then move to target cost per acquisition once you know what an acquisition is genuinely worth. Target return on ad spend only makes sense when you can pass back real revenue values.
Change targets gradually. Large adjustments reset the learning period and cost you a week or two of performance each time, which is how accounts end up permanently in learning.
The negative keyword work nobody does
- Job seekers. Careers, salary, jobs, and internship variants waste budget in every SaaS account.
- Free and open source. Unless a free tier is your funnel, these searches rarely become customers.
- Tutorials and definitions. How-to and what-is queries are research, not purchase intent.
- Wrong-category matches. Broad match finds adjacent meanings of your terms with impressive creativity.
What about Microsoft Ads and other engines?
Microsoft Ads carries lower competition and lower click costs, with a smaller audience that skews toward enterprise and desktop. For B2B that mix is often favorable, and importing existing campaigns makes testing cheap.
Treat it as a supplement rather than a replacement. Volume will be a fraction of Google's, and the effort is best justified once Google is already working rather than as an escape from it.
- ✓ Automated bidding optimizes toward whatever you told it to value. Fix the conversion signal first.
- ✓ Over-segmented accounts starve campaigns of the conversion volume smart bidding needs.
- ✓ Change bid targets gradually. Large moves reset learning and cost weeks of performance.
- ✓ Microsoft Ads is a cheap supplement once Google works, not an escape from Google.
FAQ
Why are my Google Ads leads low quality?+
Almost always the conversion signal. If every form fill counts equally, smart bidding buys the cheapest ones. Assign values reflecting downstream worth and import qualified opportunities from your CRM.
How many campaigns should a SaaS Google Ads account have?+
Few enough that each accumulates meaningful conversion volume. Granular structures made sense under manual bidding and now prevent automated bidding from ever learning.
Is Microsoft Ads worth running for B2B SaaS?+
Often yes as a supplement. Lower competition and cheaper clicks, with an audience skewing enterprise and desktop. Expect a fraction of Google's volume and test by importing existing campaigns.
Sources
- [1]Google Search delivered 67% ROAS at the median and 138% for top performers, measured with data-driven attribution on closed-won deals. Dreamdata is an attribution vendor and its customer base skews to B2B advertisers. Dreamdata, LinkedIn Ads Benchmarks Report 2026, March 10, 2026.