Marketing Benchmarks: A Practical Guide to Comparing Performance

WordStream / LocaliQ analyzed 13,474 US search campaigns from 1 April 2025 to 31 March 2026. The report covers Google and Microsoft search advertising; its “averages” are medians. Subcategories have at least 52 active campaigns.

Unbounce reports a sample of 41,000 landing pages, 464 million visits and 57 million conversions. The action counted as a conversion varies by page. The 6.6% figure is a median, not the aggregate ratio of all conversions to all visits.

SaaS Capital surveyed more than 1,000 private B2B SaaS businesses in Q1 2026. Marketing spending is a separate category from selling costs, so the 8% figure is not a complete sales-and-marketing budget.

Search-ad conversion rate measures an action after an ad interaction under the publisher's campaign definitions. Landing-page conversion measures actions on a different population of pages. Neither is a universal website purchase rate. A SaaS spending ratio is a budget observation, not a conversion measure.

Do not calculate a synthetic “typical CPL” by dividing the reported CPC median by the CVR median. Medians from separate distributions do not reconstruct the publisher's CPL median. Use the published figure with its scope, or calculate your own ratio from consistent raw totals.

The datasets also reflect customers and respondents associated with the publishers. They are not random samples of every business. US search advertising should not be relabelled as a global benchmark, and private SaaS spending should not become a rule for retail or local services.

1. Is the business model comparable? Deal value, repeat purchasing, margin and sales cycle change the economics.
2. Is the channel and audience comparable? Branded search, non-brand search, existing customers and cold prospects should not be mixed without explanation.
3. Is the conversion the same action? A signup, qualified inquiry and paying customer belong to different stages.
4. Is the period mature? Give the cohort enough time to progress through the relevant buying journey.
5. Is the measurement reliable? Check duplicate events, missing outcomes, changed definitions and attribution windows.

If any answer is uncertain, use the benchmark to form a question rather than declare your performance good or bad.

Hypothetical example: Two landing pages each receive 1,000 relevant visits. Page A produces 80 inquiries and Page B produces 50. A converts 8% and B converts 5%, but suppose only 20 of A's inquiries qualify while 30 of B's qualify. The qualified-inquiry rates are 2% and 3% respectively.

The raw conversion rate favors A; the qualified outcome favors B. The business still needs to compare acquisition cost, opportunity progression and revenue before choosing where to invest.

This is why our conversion rate optimization service begins with the action and quality criteria. Improving an easy-to-trigger event can make a dashboard stronger while leaving the sales process unchanged.

Create a simple record for each priority channel or journey. Include spend, visits or clicks, the defined conversion, qualified outcomes and customers where available. Add the reporting period, cohort-maturity date and data source.

Keep direct acquisition and broader influence separate. Several platforms may claim the same sale; adding their attributed revenue can double count it. Your baseline should document how the business reconciles those views.

Use marketing strategy to connect the measures to a decision. The marketing ROI calculator evaluates revenue, margin and cost; the marketing budget calculator explores a budget envelope. Both use your inputs rather than assume a benchmark is a forecast.

A weak click-through rate suggests examining message and relevance. A weak page conversion suggests investigating the offer, experience and measurement. Weak qualification suggests revisiting audience fit or the information used to screen inquiries. Weak close rates require sales and commercial context.

These are diagnostic starting points, not conclusions. Check the evidence before changing the channel or budget. A good review states the suspected constraint, the proposed action and the information that will determine whether it helped.

For funnel economics, continue to lead generation benchmarks. For recurring-revenue cohorts, use SaaS marketing benchmarks.

Discuss the measures that should guide your marketing.