B2B SaaS founders run Google Ads the way they learned from YouTube tutorials. BOFU keywords, broad match, Smart Bidding, let Google optimize. Then they spend $8,000 in a month, book four demos, close nothing, and conclude that Google Ads doesn’t work for B2B.
It does work. The setup is just different.
Ecommerce has a $79 average order value and a 2-minute decision cycle. B2B SaaS has a $12,000 ACV and a 3-month buying committee. Google’s default recommendations are calibrated for the former. If you run them on the latter, you bleed budget on people who were never going to buy.
The one rule that changes everything: In B2B SaaS, keyword intent matters more than keyword volume. A 50-search-per-month term with buyers on it beats a 5,000-search-per-month term with researchers on it. Every time. The goal is bottom-of-funnel (BOFU): people who are ready to evaluate or buy, not people who are still learning what the problem is.
What works
Bottom-of-funnel (BOFU) keywords only, at first
The only keywords worth running in the first 60 days are the ones people search when they’re ready to buy or evaluate. Not “what is project management software.” That person is three months away from a purchase decision. Instead: “project management software pricing,” “Asana alternative for small team,” “monday.com vs ClickUp vs Universell CRM.”
These terms get 5-10x fewer clicks. They also convert at 5-10x the rate. The math works.
Competitor and alternative terms
If someone searches “[Competitor] alternative” or “better than [Competitor],” they are actively unhappy with a product and looking to switch. That is the warmest possible lead you can get from paid search. CPCs are higher, but close rates on these leads are consistently stronger than branded or generic terms in accounts I manage.
One thing that kills this: bidding on competitor terms without a landing page built specifically for the comparison. Sending competitor searchers to your generic homepage is burning money.
Exact and phrase match, not broad
Broad match in B2B SaaS means Google decides what your ad is relevant to. In 2026, broad match is more aggressive than it has ever been. I have seen “B2B CRM software” on broad match serve ads for consumer contact management apps, HR platforms, and once, genuinely, a fishing equipment retailer.
Start with exact match. Add phrase match once you have enough data to see which expansions are working. Audit the search terms report weekly for the first two months.
Remarketing on high-intent pages
People who visited your pricing page but didn’t book a demo are the best audience in your entire account. They know who you are, they were evaluating you seriously, and something stopped them. A remarketing campaign targeting that segment specifically, with messaging that addresses the objection (usually price, or feature comparison), closes a meaningful portion of that lost traffic.
The segment to build first: pricing page visitors in the last 30 days who did NOT convert. The segment to build second: demo page visitors who didn’t complete the form.
- BOFU: pricing, demo, trial, comparison
- Competitor alternative terms
- Exact and phrase match only
- Demo-page and pricing-page remarketing
- Customer Match on your ICP list
- Separate campaign for branded terms
- Target CPA after 30+ conversions
- CRM integration to track lead quality
- Broad match before you have data
- PMax for lead gen campaigns
- Informational keywords (what is / how to)
- Display before you have conversion volume
- No negative keyword list
- Counting form fills as final conversions
- Competitor terms without a comparison page
- Skipping search terms report review
Customer Match for account-based targeting
Upload your ICP contact list or CRM export into Google Ads as a Customer Match audience. Use it in observation mode on your search campaigns to see how these people interact with your ads. Use it as a bid modifier: bid up when someone on your target account list searches for your terms.
This is the closest Google Ads gets to LinkedIn ABM targeting. It won’t reach everyone on your list, but when it fires, the quality is there.
What wastes money
Performance Max for B2B lead gen
PMax is built for ecommerce. In B2B lead gen, it treats every form fill the same, allocates budget across Search, Display, YouTube, and Gmail with no transparency, and will happily spend your entire budget acquiring marketing-qualified leads that never become opportunities. I have never seen a PMax campaign outperform a well-structured Search campaign for B2B SaaS pipeline generation. Not once.
Run Search. Run remarketing Display if you have the conversion volume to support it. Skip PMax for lead gen.
Optimizing for form fills
Google will optimize toward whatever you tell it is a conversion. If you set a contact form submission as a conversion, Google will find the cheapest form fills it can. Some of those will be your ICP. Most will not.
The fix is connecting Google Ads to your CRM and importing pipeline-stage data back as offline conversions. Optimize toward SQL, not MQL. The algorithm works a lot better when it’s chasing the right signal.
Top-of-funnel informational keywords
“What is customer success software” gets 2,000 searches a month. The person searching that is a researcher, a student, or someone in the consideration phase who is still defining the problem. They are months away from a demo. Running paid ads on this term burns budget on traffic that will not convert in any reasonable attribution window.
Write blog content for informational terms. Pay for BOFU terms only.
The campaign structure that works
The budget reality check
B2B SaaS CPCs range from $5-15 on standard terms to $30-60+ in highly competitive categories. At a 3% conversion rate to demo request, you need 33+ clicks per demo. At a $10 CPC that’s roughly $330 per demo request. If your close rate from demo to customer is 20%, that’s $1,650 per closed deal. Does the math work for your ACV?
If your ACV is $3,000, Google Ads is probably not your primary acquisition channel yet. If your ACV is $10,000+, the unit economics work at scale once you tighten the structure. Use the calculator below to run your own numbers.
Attribution: the part nobody fixes
B2B buying cycles are 60-180 days. Google Ads’ default 30-day click attribution window misses most of the deals your ads influenced. The fix requires three things.
First, import offline conversions from your CRM. Mark a lead as a conversion when it reaches SQL or opportunity stage, not when the form is submitted. Second, add a self-reported attribution question to your demo booking form: “How did you hear about us?” This captures brand impact that no pixel can. Third, check Google Ads’ assisted conversion data, not just last-click. Your BOFU campaigns often assist deals that close through organic or direct.
Without this, you will undercount the value of paid search, cut the budget too early, and then wonder why pipeline dried up 90 days later.
One thing to implement this week: Build the pricing-page remarketing audience in Google Analytics. It takes 10 minutes. You won’t have enough data to run ads against it for 30 days, but the clock starts when you create the audience, not when you launch the campaign.
The bottom line
Google Ads works for B2B SaaS when you run it like a B2B channel, not like an ecommerce store. That means BOFU-first, tight match types, conversion signals tied to pipeline instead of form fills, and enough budget to reach a real conclusion.
The accounts where it fails are mostly accounts where the targeting was too broad, the budget was too thin to get data, or the conversion tracking was measuring the wrong thing. All three of those are fixable.
Running Google Ads for a B2B SaaS product and not sure if the structure is right?
I audit B2B paid search accounts regularly. One call is usually enough to identify whether the core issues are keywords, structure, bidding, or attribution.
B2B Google Ads Service