CampaignBrain · Google Ads benchmarks
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What works in Google Ads for your industry

Benchmarks and plain-English tips from 12 months of real Australian Google Ads data. Find your industry to see what a good cost per lead or sale looks like, which campaigns and bidding work, which searches win and which waste money, when your customers buy, and how your own numbers compare.

A$9.9Mad spend analysed
287Australian ad accounts
184,000search terms
56,700ad headlines and descriptions
29industries
12 monthsSep 2025 to Sep 2026

The matrix

One row per industry. Scroll sideways for every column. The range bar shows the typical spread (middle 50% of businesses) with the median marked. Green means cheaper or better than average, red means dearer. Numbers in italics with ≈ are estimates for industries with less data. Click any row for the full playbook.

BenchmarksBrand vs genericSetup that worksTimingSearches
IndustryCost per lead / saleReturn on ad spendConv. rateAvg clickClick-throughAvg order Brand costGeneric costBrand share Main campaign typeCheapest biddingMobile share Cheapest timeDearest timeWeekendPeak monthDearest month Winning search termsSearches to block

Forecast your results

Pick your industry and a monthly budget to see the clicks, leads or sales and revenue a typical business gets, month by month, with the industry's busy and quiet months applied. Nothing is saved.

Check your numbers

Enter last month's figures from your Google Ads account (Campaigns overview). Nothing is saved or sent anywhere. The example figures below are made up to show how it works.

What works everywhere

Patterns that held across all 287 accounts. Charts compare results inside the same accounts wherever possible, so big accounts don't drown out small ones.

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How to read this

Cost per lead / sale: ad spend divided by conversions. Service businesses: a lead (form, qualified call, booking). Online stores: a sale.
Return on ad spend: revenue from ads divided by ad spend. 4.0 means $4 back for every $1. Online stores only.
Typical range: the middle 50% of businesses. Below the range is excellent; above it means something needs fixing.
Index scores (1.00 = average): a search term, time, device or age group compared with the average for the same industry or account. 0.60 = 40% cheaper; 1.50 = 50% dearer. For online store search terms, higher is better (return).
Brand vs generic: searches for a business's own name vs everything else. Brand always looks great, so judge growth on generic.
Searches to block: the words that spent the most with few or no results. Check each against what you sell before adding it as a negative keyword.
Full benchmarks vs estimates: full benchmarks come from 3+ accounts in the industry with reliable conversion tracking. Industries marked "Estimate" (≈ numbers in italics) have fewer. For those we recount conversions using real purchases and leads only, then blend them with the two most similar industries and the whole portfolio (a standard statistical "shrinkage" method). Search themes and headlines there are written as patterns, so no single business is exposed.
Forecasts: expected results = budget divided by cost per result, adjusted for the industry's monthly pattern. The range covers the middle 50% of businesses. New accounts are assumed to run at about 70% in month one and 90% in month two while bidding learns.
Data: all figures in AUD, ex GST. Your results will depend on your offer, website, location and competition.