SaaS Google Ads Benchmarks 2026: What Good Actually Looks Like

You're looking at your Google Ads dashboard and wondering if the numbers are good. CPC at €7? Is that high or low? Conversion rate at 3.2%? Should you celebrate or panic? CAC of €380? Time to fire the agency or give them a raise?

The problem with most benchmark articles is that they aggregate data across industries that have nothing in common. A €4 CPC in e-commerce means something completely different from a €4 CPC in B2B SaaS. A 5% conversion rate on a free trial signup is not the same as a 5% conversion rate on a demo request that leads to a €40K deal.

This is a SaaS-specific benchmark report, broken down by vertical, ACV range, and sales cycle length. Numbers come from auditing 100+ SaaS Google Ads accounts over the past three years, cross-referenced with publicly available data from agencies managing $50M+ in SaaS ad spend.

If you want to know whether your numbers are good or bad, find your vertical and ACV in the tables below. If you're in the bottom quartile on any metric, that's where to focus first.

Why generic benchmarks lie

Most benchmarks you find online are dangerous because they treat "B2B SaaS" as one category. It's not. A DevTools company selling a $5K ACV product to engineering teams has nothing in common with a Cybersecurity company selling a $200K ACV platform to enterprise CISOs.

The metrics that matter, the keywords you bid on, the cost per click, the conversion rates, all of it varies by 3-5x depending on these three variables: vertical, ACV (annual contract value), and sales cycle length.

A €15 CPC for a Cybersecurity SaaS is normal. The same CPC for a freelancer invoicing tool is a budget disaster. A 90-day sales cycle changes everything about your tracking, your bidding strategy, and your conversion windows.

Use these benchmarks as a starting point. Then adjust based on your specific context.

CPC benchmarks by SaaS vertical

Cost per click is the most variable metric across SaaS verticals. Here's what we see in the wild in 2026.

Median CPC for non-brand search keywords across SaaS verticals.

Two things to note. First, vertical SaaS (industry-specific software like construction management, dental practice software, fleet management) has dramatically lower CPCs because the keyword space is less crowded. If you're in vertical SaaS and paying €15+ per click, something is wrong with your account structure.

Second, Cybersecurity is consistently the most expensive vertical because every dollar of ad spend has to compete with enterprise vendors with massive budgets and 6-figure deal sizes. A €25 CPC for cybersecurity is normal when your ACV is $80K+. The same CPC for a $5K DevTools product is suicidal economics.

Conversion rate benchmarks

Conversion rate depends on what you're tracking and where you're sending traffic. Here's the breakdown.

For demo request as primary conversion (sales-led SaaS):

For free trial signup as primary conversion (product-led SaaS):

The key insight: requiring a credit card for free trial cuts conversion rate by 50%, but doubles the trial-to-paid rate. Most SaaS companies optimize the wrong end of this funnel.

If your conversion rate is below the median for your category, the problem is almost always one of three things: messaging mismatch between ad and landing page, too many form fields, or insufficient social proof. In that order.

Cost per SQL and CAC benchmarks

This is where most SaaS founders get the rude awakening. The cost per qualified lead is dramatically higher than what marketing dashboards show.

Median cost per SQL (Sales Qualified Lead) by ACV.

Notice the inverse relationship. Higher ACV means higher cost per SQL, but also dramatically higher LTV. A €3,000 cost per SQL is profitable when your ACV is €60K and your close rate from SQL is 15-20%.

The healthy ratio: cost per SQL should be no more than 5% of expected first-year revenue. If your ACV is €30K, anything under €1,500 per SQL is profitable. Above €1,500, you need to either improve the close rate or rethink the channel.

The budget allocation that actually works

Now you know the benchmarks. The next question is where to spend.

After auditing 100+ SaaS accounts, here's the budget allocation that consistently produces the best CAC.

A few notes on this allocation.

Brand campaigns at 8-12% is intentional. You need to defend brand searches from competitors bidding on your name, but you don't need to pour budget into people who already know you. The ROAS on brand looks great because it's mostly capturing demand you already created.

Non-brand search at 35-45% is the engine of new customer acquisition. This is where you bid on category terms ("project management software", "expense tracking platform"), use cases ("software for remote teams"), and problem-aware queries ("how to track team productivity").

Competitor campaigns at 12-18% only make sense if you have a clear differentiator and your competitors have meaningful search volume. If you're a small player bidding on category leaders, you'll overpay for clicks. If you have a positioning angle ("Salesforce alternative for startups"), this can be a goldmine.

Remarketing at 12-18% is non-negotiable for SaaS. Buyers research for 30-90 days. Remarketing keeps you visible during that consideration period. The ROAS on remarketing is often the highest of any channel.

Performance Max at 0-15% is the most controversial. It works only if you have offline conversion tracking, 50+ monthly conversions, and detailed audience signals. Without those, it's a budget black hole.

What to do if you're in the bottom quartile

Take whatever metric is worst in your account and start there.

If your CPC is too high: tighten your match types (move from broad to phrase or exact), build aggressive negative keyword lists, and make sure you're not bidding on informational keywords you should be capturing through SEO instead.

If your conversion rate is too low: audit your landing page first. Match the ad headline exactly to the landing page hero. Cut form fields to email plus one qualifying question. Add three customer logos above the fold.

If your cost per SQL is too high: connect your CRM to Google Ads with offline conversion imports. Tell the algorithm what a real SQL looks like. The CPA in Google Ads will look worse temporarily, but the cost per actual SQL will drop 30-40% in 60 days.

If your CAC is too high: the problem is usually upstream. The funnel from SQL to closed-won is leaking. Either the leads aren't qualified (Google Ads problem) or the sales process is weak (not your ad problem). Look at the SQL-to-Opportunity rate. If it's below 30%, the leads are bad. If it's above 30% but Opportunity-to-Won is below 20%, sales has the problem.

The bottom line

Benchmarks are useful for one thing: telling you where to focus. Comparing yourself to the median is fine, but the real win is moving from bottom quartile to top quartile on the metrics that drive your CAC.

Pick the worst metric in your account. Find your vertical and ACV in the tables above. If you're in the bottom quartile, that's where the money is being left on the table.

If you want to know exactly which metric is dragging your account down, we do free 20-minute audit calls. We'll screen-share your account, compare it to our benchmark database, and tell you which lever to pull first.