How to test if branded search pays off, step by step
Put brand searches in one campaign, check who else bids on your name, and record paid and organic brand clicks with Shopify orders. Then pause brand ads in a few regions. If total orders there hold, the ads were buying clicks you already had.
By Joris van Huët, Founder & CEOUpdated 8 min read
To test if branded search pays, put brand queries in one campaign and check who else bids on them. Record paid and organic brand clicks and Shopify orders, then pause brand ads in a few regions. If orders there hold, the ads were mostly buying clicks you would have had for free.
A brand campaign grades itself on buyers who were already looking for you. The only fair test switches it off somewhere and watches total orders, not the campaign's own report. You need Google Ads, Search Console, Shopify and GA4, plus a few calm weeks with no launch or sale.
Do steps 1 to 6 before you pause anything. They are your baseline, and a test without a baseline is a mood with a spreadsheet.
Step by step
- Find every campaign that buys your name. The search terms report lists the searches that triggered your ads, and it covers Performance Max as well. Filter it for your brand and note every campaign that appears. Menu path: Google Ads > Campaigns > Insights and reports > Search terms.
- Fence brand searches into one campaign. Add your brand list as a brand exclusion on Performance Max, so it cannot pick up your name during the test. A checkbox lets you keep Shopping ads on searches for excluded brands if you want them. Menu path: Campaigns > Campaigns > Settings tab > your campaign > Additional settings > Brand exclusions > Save.
- See who else shows on your name. Auction insights compares you with other advertisers in the same auctions, and overlap rate shows how often their ad appeared alongside yours. The report shows nothing when your impression share is under 10%. Menu path: Campaigns > tick the brand campaign > Auction insights.
- Link Search Console and open the paid and organic report. It puts ad clicks and organic clicks for each search side by side. It counts text ads only, and its organic data starts on the day you link. Menu path: Campaigns > Insights and reports > Report editor > Basic tab.
- Record organic brand clicks by country. Search Console's Performance report has a Branded filter, and its Countries dimension groups clicks by where the search came from. Google warns that some queries may be labelled wrongly, so read weekly trends, not single days. Menu path: Search Console > Performance > filter bar > Query > Branded, then Countries.
- Record orders by region in Shopify. The Total sales by billing location report shows sales by the country or region of each billing address. Write down weekly orders for every region you might use. Menu path: Shopify admin > Analytics > Reports > Category filter > Sales > Total sales by billing location.
- Pause brand ads in the test regions only. Exclude a few regions from the brand campaign and leave the rest running as your control. Choose regions whose orders and brand clicks moved together in steps 5 and 6. Menu path: Campaigns > Settings > Locations > search the area > Exclude > Save.
- Read totals, not the campaign. After the test weeks, compare Shopify orders and brand clicks, paid plus organic, between test and control regions. Your free listing keeps showing where the ads stop, because organic results ignore your ad targeting. Menu path: Shopify > Total sales by billing location, then Search Console > Performance > Branded > Countries.
A worked example
Start with the line the test has to clear. On one store's Break-even sheet, a 40% margin gives a break-even ROAS of 2.5x, because 1 divided by 0.40 is 2.5. That is arithmetic on margin, not that store's ROAS, and your own margin sets your own line.
Now the test, with round numbers made up for illustration.
| For illustration | Value |
|---|---|
| Brand campaign ROAS, as Google Ads reports it | 10x |
| Brand-ad orders that disappeared in the test regions | 20% |
| ROAS on the orders the ads really added (10 times 0.2) | 2x |
| Break-even ROAS at a 40% margin (1 divided by 0.40) | 2.5x |
For illustration, say your brand campaign reports a ROAS of 10x. Say the paused regions lost 20% of the orders the brand ads used to claim, while control regions held steady. For illustration, the other 80% still arrived, through your free listing, Direct or email. In this worked example, the ROAS on the orders the ads really added is 10 times 0.2, which is 2x.
For illustration, here is where a share like 20% comes from. Note weekly orders in the test regions before and during the pause, and the same for the control regions. The difference between the two changes is what the pause cost you. Divide it by the orders the brand campaign claimed in the test regions before the pause.
For illustration, 2x sits below the 2.5x line, so each euro on brand search loses money on the sales it adds. Flip one input to see the other side. For illustration, if the test regions had lost 40% of those orders, the added sales would earn 4x, comfortably above the line.
Google's own research gives a sense of scale, though not your answer. In 390 pause studies, on average 50% of ad clicks were incremental when the advertiser's organic result ranked first. Clicks are not orders, so let your own regions decide.
What to check when the report looks wrong
- Orders fell in test and control regions alike. Something else moved: a season, a sale or a stock problem. Compare test against control, never against last month.
- Organic brand clicks did not rise where the ads stopped. Check Auction insights for the test weeks. If a rival or reseller took the top slot, your ad was defending real ground.
- Brand clicks still show in paused regions. Location targeting runs on signals, and Google says 100% accuracy is not guaranteed. By default it also uses locations people show interest in, not only where they are.
- The campaign's conversions vanished, and Shopify barely noticed. That is the result the test exists to find, not an error. Before you cut the campaign for good, repeat the test once in other regions.
- Performance Max jumped when the brand campaign paused. It found your brand searches. Add the brand exclusion from step 2, then restart the test.
- The paid and organic report has no organic data. It only holds data from the day you linked Search Console, and it ignores Shopping ads. Link it before the baseline weeks, not during the test.
What to do this week
- Link Search Console to Google Ads today. The paid and organic baseline only starts on that day. Pass: within a day or two, the report shows organic clicks for your brand searches. Fail: it stays empty, so the link is missing or points at the wrong property.
- Pick test and control regions in Shopify. Open Total sales by billing location for recent weeks. Pass: you find two groups of regions whose weekly orders move alike. Fail: no two groups match, so alternate paused and live weeks instead.
- Write the break-even line on the test plan. Divide 1 by your margin, as the Break-even sheet does. Pass: you know the ROAS the added sales must clear before any result arrives. Fail: you have no margin figure, so ask finance before the test starts.
Check the homework. Your GA4 Attribution paths export already holds the evidence. Causality Engine reads that one file and shows what each channel caused next to what last-click gave it, in 1 to 2 minutes, for €99 once (excluding VAT), refundable within 30 days. Check the homework
Sources, 1 October 2026: About the search terms report (Google Ads Help); Apply brand exclusions to Performance Max or Search campaigns (Google Ads Help); Use auction insights to compare performance (Google Ads Help); About measuring paid and organic search results (Google Ads Help); Performance report (Search results): Common tasks and use cases (Search Console Help); Performance report (Search results): Dimensions and data groupings (Search Console Help); Sales reports (Shopify Help Center); Exclude ads from geographic locations (Google Ads Help); Target ads to geographic locations (Google Ads Help); About targeting geographic locations (Google Ads Help); Impact Of Ranking Of Organic Search Results On The Incrementality Of Search Ads (Google Research); Key events attribution paths report (Google Analytics Help).
Related answers
Frequently asked questions
How long should a branded search pause test run?
Long enough to cover your usual buying time and several ordinary weeks of orders. GA4's Key event attribution paths report shows days to key event, so run at least that long. Avoid launches and sale weeks, which move brand searches on their own.Should I pause brand ads in every region at once?
Usually not. Pausing everywhere leaves nothing to compare against, so a seasonal dip looks like the ads' effect. Pause in some regions, keep the rest running, and compare total orders between the two groups.Does the paid and organic report include Shopping ads?
No. Google's help says the report counts text ads only, not Shopping ads. If brand searches also trigger Shopping or Performance Max ads, read those campaigns separately, or exclude brand searches before the test starts.
Go deeper: Incrementality testing, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- ConversionConversion is a specific, desired action a user takes in response to a marketing message, such as a purchase or a sign-up.
- Google AdsGoogle Ads is an online advertising platform where advertisers bid to display ads, service offerings, and product listings.
- Google AnalyticsGoogle Analytics is a web analytics service that tracks and reports website traffic.
- ImpressionAn Impression counts each time an ad or content displays on a user's screen. It measures exposure, not engagement.
- IncrementalityIncrementality measures the true causal impact of a marketing campaign. It quantifies the additional conversions or revenue directly from that activity.
- Incrementality TestingIncrementality Testing measures the additional impact of a marketing campaign. It compares exposed and control groups to determine causal effect.