Paid ads budget and channel mix for B2B SaaS

How much should a B2B SaaS company spend on paid ads, and on which channels?

It rises with annual contract value, and the channel mix widens with it. SaaS Google Ads Benchmarks 2026 gives a typical monthly spend, a target cost per SQL and a campaign mix for four tiers.

The publisher says the benchmarks draw on more than $60M of managed spend across more than 300 accounts. It does not state the sample behind each row, so these are reference ranges.

The logic is more useful than the numbers. A larger contract supports a higher cost per SQL, and reaching the people who sign large contracts costs more. The cost figures behind each tier are on the paid ads benchmarks page.

What share of revenue goes to marketing?

A median of 8% of annual recurring revenue (ARR). SaaS Capital published the figure on June 10, 2026, from a survey of more than 1,000 private B2B SaaS companies. The survey reports marketing as one line and does not break out paid media, which has to fit inside it alongside people and tools.

The table applies that median to four company sizes. These figures are arithmetic on the median and not survey results for each size.

A $5M company at the median has about $33,000 a month for all of marketing. A plan that calls for $40,000 a month in ad spend alone means the company is choosing to spend well above the median. The same survey found that equity-backed companies spend "100% more on marketing" than bootstrapped ones.

How is a paid budget built from a pipeline target?

From the bottom up. Start with the SQLs paid media has to produce and work back to spend.

Monthly paid budget = SQLs needed per month × expected cost per SQL

Here is an example with invented numbers. A company needs $1.2M of new pipeline a quarter from paid media. Its average opportunity is worth $40,000, and half of its SQLs become opportunities. It needs 30 opportunities, so 60 SQLs a quarter, or 20 a month. At $1,500 per SQL, the budget is $30,000 a month.

Three checks follow.

1. Is the cost per SQL realistic for the vertical? Published 2026 figures run from $650 in developer tools to $3,500 in cybersecurity.
2. Does the total fit the marketing budget? Compare it with the 8% table above.
3. Is there enough search demand to spend it? A search campaign cannot spend more than the searches that exist.

If the budget that falls out is more than the company can spend, the pipeline target is the number to revisit. Cutting the budget and keeping the target only hides the gap until the end of the quarter.

Which channel should be funded first?

The one that reaches buyers closest to a purchase. Wherever buyers search for the category, that is search. The table gives each channel's job and the point at which it earns budget.

Two questions settle most cases. Do buyers search for the category? If yes, search comes first. Is the buyer a short list of companies? If yes, LinkedIn leads. A first plan is easier to measure with one or two channels. The trade-off between the main two is in Google Ads vs LinkedIn Ads for B2B SaaS.

How should the budget be split between capturing demand and creating it?

Capture first, then create. Capturing demand means reaching people who are already searching. Creating demand means reaching people who fit the buyer profile and are not yet looking.

No sourced ratio fits every company. A sound sequence has four steps.

1. Fund search on high-intent, non-brand keywords until extra spend stops finding new qualified searches. Published 2026 benchmarks report that top-quarter Google Ads accounts put 60% to 75% of their budget into non-brand campaigns.
2. Run brand search in a small separate campaign.
3. Fund retargeting fully. The audience is small, so this is a minor share of spend. In a 2026 audit of 56 LinkedIn Ads accounts, retargeting drove two of every three conversions on less than half the budget.
4. Put what remains into creating demand, on LinkedIn or another social channel, aimed at named accounts and job titles.

Demand creation takes longer to show up in pipeline and is harder to attribute. That is a reason to measure it over quarters, not a reason to skip it.

How much of the budget is really working?

About two thirds, in audited accounts. Two 2026 audits measured the rest as waste.

This changes the budget question. A company spending $30,000 a month on Google Ads at the average waste rate has about $19,800 working. At the best-quarter rate it would have about $26,000. The gap is roughly $6,200 a month with no increase in spend. Those figures are arithmetic on the audit's rates.

Neither audit is a random sample, so they describe similar accounts and not the whole market. The causes and the fix order are on the wasted ad spend page.

When should the budget go up or down?

When the cost of the next SQL says so. Three signals guide the decision.

Increases are best made in steps, with a few weeks between them. A large change can put automated bidding back into a learning period, and the first weeks after a change are not a fair reading. The third signal is covered on the conversion tracking and attribution page.