PPC Hero 解析品牌词流量如何粉饰 Google Ads 投放数据

Your Google Ads report tells you how well your campaigns are performing. But what if it’s taking credit for customers you already had?

A good share of the traffic coming through your ads may consist of people who already know your business. They could be searching for your company by name, looking for a product they’ve seen before, or simply trying to find your website. These are branded searches, and they can have a significant influence on the results attributed to your campaigns.

That’s not necessarily a bad thing. Branded campaigns serve their own purpose, from controlling how your brand appears in search results to protecting your brand from competitors. But the problem starts when brand and non-brand traffic are averaged into one figure. This blended result can influence your budget decisions, agency evaluations, and Smart Bidding targets, without showing how effectively your campaigns are actually attracting new customers.

Two accounts, one pattern

A blended performance figure can make a Google Ads account look far more efficient at acquiring customers than it actually is. But how big can that difference be? Here’s what the difference looked like in two ecommerce accounts: a US collectibles retailer and a European direct-to-consumer watch brand.

When I looked at 90 days of search term data across both accounts, one thing stood out. Branded searches were taking up just over a third of the ad spend, yet they were responsible for more than half of all conversions.

Source: Author’s audits of two client accounts, search terms report, 90 days to Oct 28, 2026.

The gap is even wider in cost per conversion. To make the comparison easier, I indexed each account’s blended CPA to 100. Brand searches came in at 57 and 59, while non-brand searches came in at 209 for the collectibles retailer and 149 for the watch brand.

Acquiring a customer through non-brand search cost roughly twice what the blended account figure suggested in the collectibles account, and about 50% more in the watch account.

ROAS revealed another side of the same issue. In the watch account, the blended ROAS over the last 30 days looked workable. But branded searches were returning more than three times what non-brand searches did. As a result, the blended figure was almost 50% higher than the actual non-brand return. Raising generic budgets based on that ROAS would rely on a return thar non-brand traffic never delivered.

Neither account was badly run, and both had dedicated brand campaigns.

Where brand hides in “non-brand” reporting

Looking at the brand campaign on its own never gives the full picture, because brand searches get lost in campaign-level reports.

In the collectibles account, the exact brand name was showing up throughout six different campaigns, including one built to target competitors and another labeled non-brand.

Search variations like “[brand] + product type” were matching inside the product campaign. A query for the brand name plus “discount code” was being picked up by Performance Max. None of this shows up if you only compare campaign totals, because each of those campaigns reports as non-brand by name.

Here is a recent slice of that account’s search terms report. Two brand variations, one misspelled and one with a product added, were matching inside a campaign built for generic searches.

Performance Max is often where this becomes most noticeable. Without a brand exclusion in place, it can bid on searches for your own business name. And because branded searches tend to convert well, they can make the campaign look like a stronger prospecting channel than it actually is. In a third account I reviewed recently, Performance Max had spent a five-figure sum on branded searches in just 30 days. A sizable part of that spend was going toward people who already knew the business and were searching for it by name.

AI Max for Search and broad match can pick up branded searches through close variants and misspellings. These matches are easy to miss, particularly when you’re only looking for the exact brand name. In the collectibles account, a single missing letter in the brand name accounted for hundreds of dollars in spend, and no filter based on campaign names would have caught it.

Brand names that overlap with everyday product terms are harder to separate. If a company were called Garden Tools Co., a search for “garden tools” could mean the brand or the product. Review these searches manually and decide whether they show brand intent or a general product search before adding them to your brand filter.

How to split it properly

The first step is to get all your search term data in one place. My go-to approach is to pull at least 90 days of data across Search, Shopping, Performance Max, and AI Max campaigns into a single spreadsheet. From there, I classify each query as branded, non-brand, or competitor traffic so I can compare performance without mixing the numbers.

For Performance Max, use the search term insights available in Google Ads to identify branded activity. Keep the “Other” category separate rather than treating it as non-brand, since it can hide traffic you can’t clearly classify.

Next, build your brand filter around more than the exact company name. Include common misspellings, spacing variations, abbreviations, and your website domain so branded searches don’t slip into the non-brand bucket. A regular expression (regex) in a spreadsheet or a script is enough. Then add a second filter for competitor brands. In the collectibles account, competitor terms had the worst CPA of any bucket, at more than three times the blended figure.

Once you’ve grouped the search terms, calculate spend, conversions, CPA, and ROAS for each category separately. The blended figure can stay on your dashboard, but it shouldn’t be the number you set targets against. This breakdown gives you a much clearer basis for deciding where to allocate budget. Swishiy’s free Google Ads auditor can run this split automatically (disclosure: I’m the founder of Swishiy).

Finally, fix the leaks you’ve identified. Add a brand exclusion to Performance Max if a Search campaign is already covering brand demand. Add brand terms as negatives to non-brand campaigns where appropriate, and make sure your brand campaign has enough budget and impression share to capture those searches. Otherwise, that traffic can end up in more expensive campaigns.

Is the brand spend doing anything at all?

Splitting the numbers shows how non-brand performs on its own. But do you need to pay for those brand clicks in the first place?

A brand CPA that’s well below the account average can look like a bargain, but some of those customers might have clicked your organic listing anyway. The best way to find out is to test it. Pause brand Search in selected regions or for a fixed period, then watch total orders from those areas, not just paid conversions. If orders barely move, much of that spend was likely buying clicks you would have received anyway. If competitors are bidding on your name and orders drop, the spend may be protecting real revenue.

I also look at new versus returning customers. In the collectibles account, the retailer had paused its ads a few times over two years for unrelated reasons, giving us a useful natural comparison. On days the ads were running, it acquired roughly 50% more new customers per day than on paused days. That’s the kind of evidence that justifies ad spend, and it can get lost in blended ROAS when first-time buyers and returning customers are counted together.

Judge brand and non-brand as two different businesses

Brand and non-brand search do different jobs. Brand captures demand you’ve already created through everything else your business does. Non-brand goes out and finds people who may never have heard of you. Combining the two into one figure makes it harder to understand how well either is performing.

This isn’t an argument for cutting brand spend. In both accounts I audited, brand was the most efficient part of the budget by a wide margin. What changed after the split was the conversation. Instead of asking why the account CPA moved this month, we could ask two separate questions: is non-brand getting better at bringing in new customers, and is brand protecting revenue or simply recapturing demand that already exists?

Start by pulling your search terms report, tagging branded traffic properly, and looking at non-brand CPA on its own. You may find it’s higher than the blended figure suggests. Better to have that clarity before increasing a budget based on results that brand traffic helped build.