When auditing accounts, one of the most common mistakes companies make is allowing brand and non-brand traffic to live together in the same campaigns. This is textbook poor PPC management.
Whether it's Performance Max, Search, or Standard Shopping, blending brand and non-brand traffic inflates reported ROAS while limiting your ability to scale revenue.
Automation always takes the easiest route
If your goal is to maximize short-term ROAS, automation will naturally gravitate toward branded searches — they're cheaper, convert at higher rates, and are an easy win for the algorithm.
Google will take the easiest possible route to achieve the goal you're asking it to.
Those users were often already looking for you. So why are you paying for them? Why lump brand traffic in with campaigns designed to drive incremental growth?
If your objective is to grow the business, acquire new customers and increase market share, you need to know how much of your budget is creating demand rather than capturing existing demand.
The problem with blended automation
When brand and non-brand traffic are combined, a few things happen beneath the surface:
- Brand searches often consume the majority of the budget
- Overall ROAS looks stronger than it actually is
- Non-brand products and categories struggle to gain visibility
- Budget shifts toward the easiest conversions instead of the biggest growth opportunities
- Brand campaigns can take credit for other media channels (CTV, programmatic) without an MMM in place
This creates a dangerous feedback loop. Automation sees brand traffic performing well, allocates more budget to it, reports excellent efficiency, and reinforces the same behavior.
Meanwhile, opportunities to reach new customers become increasingly limited.
A case study: lowering ROAS on purpose
One client's Google Ads account was heavily weighted toward branded traffic. Brand and non-brand campaigns were blended, product segmentation was minimal, and a significant portion of spend flowed toward branded searches.
While overall PPC performance appeared healthy, much of the revenue came from customers who were already familiar with the brand.
Their goals were clear:
- Increase total business revenue
- Acquire more new customers
- Grow non-brand revenue
- Reduce reliance on branded search
Instead of optimizing for the highest reported ROAS, the account was restructured around growth. That meant overall ROAS would decline — which was exactly the goal.
1. Separate brand and non-brand
The first step was isolating branded traffic from non-branded campaigns, immediately giving clearer visibility into budget allocation and each traffic source's contribution.
Brand campaigns remained important — the aim wasn't to eliminate them, but they were no longer allowed to absorb budget that could generate incremental growth. The branded campaign budget was reduced to a small percentage of overall spend.
2. Build granular product segmentation
Rather than relying on broad Shopping structures, the non-brand structure was rebuilt using Standard Shopping campaigns with significantly more product segmentation, allowing the team to:
- Allocate budget by product priority
- Bid differently across product groups
- Invest more aggressively in strategic categories
- Scale products that previously received very little visibility
This is another common challenge with automation. Left alone, Google's algorithms naturally allocate more budget toward products that already generate the strongest performance — maximising short-term efficiency while leaving lower-volume products, emerging categories and strategic product lines with little opportunity.
When an entire catalog is grouped into a single campaign, it's nearly impossible to prioritize products based on business objectives. You're essentially asking Google to decide what's most important, and its answer isn't always aligned with yours.
3. Use Performance Max for what it does best
Rather than asking Performance Max to do everything, it was assigned a specific role: the New Customer Acquisition setting to focus on acquiring incremental customers, while Standard Shopping maintained control over product-level bidding and budget allocation.
That created a balance between automation and manual control instead of relying entirely on one campaign type.
The results: paid revenue fell 25% and the business grew
On paper, one "important" metric looked worse.
| Metric | Year over year |
|---|
| Google PPC revenue | -25% (≈$2.3M less) |
| Google organic revenue | +99% |
| Combined PPC + organic revenue | +15% |
| New customer acquisition | +20% |
If you looked only at Google Ads reporting, it would appear performance had declined. But that wasn't the full story.
Because dependence on branded paid traffic was intentionally reduced, more branded searches naturally shifted to organic listings.
Instead of paying for customers who likely would've found the brand anyway, organic search captured more branded demand while paid media expanded the customer base. The business grew even though paid revenue alone decreased.
Why brand spend still matters
None of this means brand spend should be avoided.
For most retailers, brand campaigns are a necessary part of an account strategy. In highly competitive industries, if someone searches for your brand, the last thing you want is a competitor's Shopping ad appearing instead of your own products.
If your brand name includes a product term (e.g., Mattress Firm or Guitar Center), protecting your brand is even more important because competitors can more easily match branded queries.
The Standard Shopping workaround
The challenge is that Standard Shopping doesn't provide a way to explicitly target only branded search queries.
Create brand-focused Standard Shopping campaigns that:
- Include only the relevant products
- Apply a robust negative keyword list (often using non-brand Search keywords as exact-match negatives)
- Set an aggressive tROAS target
Google naturally favors high-converting queries, and nothing converts as easily as brand traffic — so with a high target set, the majority of spend shifts to brand queries.
In some cases, apply a portfolio bid strategy with a maximum CPC limit. Because non-brand queries generally drive higher CPCs, the cap helps filter out unwanted non-brand traffic.
Brand spend is often necessary. You just need to make sure your ad dollars have boundaries — define what success looks like, whether that's a branded impression share target or a specific ROAS while fending off competitors.
The metrics that matter aren't always in Google Ads
One of the biggest mistakes you can make is evaluating paid media in a vacuum.
If reducing branded paid spend increases branded organic traffic, that's not inherently a loss. In many cases, it's exactly what should happen.
The goal isn't to maximize paid revenue at all costs. The goal is to maximize total business growth — sometimes by accepting lower paid media metrics in exchange for stronger overall performance.
Automation is incredibly powerful, but it optimizes toward the signals you give it. Blend brand and non-brand and the algorithm will chase the easiest conversions rather than the most incremental ones.
The strongest Google Ads accounts don't rely solely on automation or solely on manual control. They combine both, using automation where it excels while maintaining enough structure to ensure budgets drive real business outcomes rather than simply capturing demand that already exists.
That's why the 25% "performance loss" above counts as a success.
Practical takeaways
Plan for the ROAS drop before you start. Separating brand guarantees reported ROAS falls. Without executive buy-in first, the test gets reversed in month three.
Report paid plus organic, not paid alone. Paid was -25% while combined was +15%. Without a combined metric, a successful experiment gets filed as a failure.
Separate attributed conversions from incremental growth — the same problem covered in Attribution vs. Incrementality.
Count brand demand that shifts to organic as cost avoided — the framing in How SEO Lowers Blended CAC. A 99% organic revenue increase is not a coincidence.
Don't abandon Standard Shopping. Segmented Standard Shopping remains the only route to product-level control; for layering automation on top see AI Max Spotted in Standard Shopping Campaigns.
Put explicit boundaries on brand campaigns: relevant products only, exact-match negatives, aggressive tROAS, and a CPC cap where needed. An unbounded brand campaign becomes a budget sink by default.