Performance Marketing · Update

Performance Max just got household income exclusions. Here's what to test

A setting that has never existed inside Performance Max just showed up in live accounts. Paid search practitioner Thomas Eccel spotted household income exclusions inside a European PMax campaign and posted it on July 24, 2026, and the discovery spread fast because it closes a gap advertisers have complained about for years. Google has not confirmed it officially. That has not stopped it from appearing, and it should not stop you from testing it if your category has anything to do with buyer income.

The short answer

Google added a household income exclusion control to Performance Max, spotted in live accounts on July 24, 2026, with seven brackets from top 10 percent to lower 50 percent. It is not officially announced. Advertisers in luxury, financial services, premium home services and high-ticket B2B should check their account and run a controlled test now, before it either rolls out wider or disappears.

What actually changed inside Performance Max?

The new control lets advertisers exclude specific household income brackets from a Performance Max campaign at the campaign level, the same mechanic that has existed in Search, Display, Demand Gen and Video campaigns for years. Seven brackets are available: Top 10%, 11 to 20%, 21 to 30%, 31 to 40%, 41 to 50%, Lower 50%, and Unknown. Until this rollout, Performance Max and Shopping were the two campaign types where income targeting simply did not exist, which is exactly what made this discovery notable to practitioners who track PMax closely.

Why hasn't Google announced this, and does that matter?

As of publication, the feature does not appear on Google's official Ads Announcements page or Product Blog. That pattern, a real change with no public confirmation, usually means a limited or staged rollout rather than a global release, and it is not unique to this feature. Reporting also surfaced Google quietly letting some advertisers switch off Search Partners and Display placements inside Performance Max, another granular control that used to be unavailable. Read together, these look like the early edges of Google loosening PMax's black box one control at a time, tested with a subset of accounts before any formal announcement.

For advertisers, the practical implication is to check your own account rather than wait for a rollout email. If the setting is there, treat it as real but unofficial: document what you change, keep a control group, and do not assume the interface or the bracket definitions will stay identical if Google does eventually confirm it broadly.

BracketWhat it targets
Top 10%Highest income households in the served geography
11 to 20%Upper-middle affluent segment
21 to 30%Above-median households
31 to 40%Median-adjacent households
41 to 50%Median households
Lower 50%Below-median households
UnknownUsers Google cannot confidently classify

Who should test this first?

This control matters most where price point tracks buyer income closely. Luxury retail, financial services, premium home services, high-ticket B2B software and automotive are the clearest fits, since excluding the lower income brackets should concentrate spend on users more likely to convert at your price point. Low-ticket, broad-appeal categories, where the same product sells across every income bracket, are unlikely to see a meaningful shift and should not prioritize this test over other levers.

How to set up a test without wrecking your existing PMax performance

  1. Duplicate your best-performing PMax campaign rather than editing it directly, so you keep an unmodified control running in parallel.
  2. Exclude only the Lower 50% bracket to start. Excluding multiple brackets at once makes it hard to isolate what actually moved the result.
  3. Hold budget and bidding strategy identical between the control and the test campaign for at least three to four weeks, long enough for PMax's automation to stabilize.
  4. Track CAC and conversion rate, not just impressions or clicks, since exclusion changes are meant to change who sees the ad, not how many people do.
  5. Compare against your pre-test baseline as well as the control campaign, since PMax's own optimization can shift results independently of the exclusion.

The CAC math behind why this matters now

This control would be a nice-to-have in a flat cost environment. It matters more this year because the cost environment is not flat. 2026 benchmark data shows Google Ads CPCs up 10 to 25 percent year over year across nearly every industry, while conversion rates fell 9.28 percent year over year across 13 of 14 tracked industries. Performance Max already carries roughly 45 percent of all Google Ads conversions and sits inside the 78 percent of Google Ads spend running through Smart Bidding or PMax, which means a control that trims spend on unlikely buyers touches the majority of most advertisers' budgets, not a side campaign.

What we'd do about it

Before scaling any income exclusion, we would confirm it actually holds CAC steady or improves it against a real control campaign, not just a gut sense that "premium buyers convert better." Google's income brackets are modeled estimates, not verified data, and a bad assumption tested at scale costs more than the exclusion saves.

Risks and unknowns worth flagging

If you are still deciding whether Performance Max deserves the budget at all versus a tighter Search campaign, our comparison of Performance Max and Search covers that trade-off directly, and our guide to scaling ad spend without killing CAC is a useful companion once you are ready to push a working exclusion test further.

Frequently asked questions

What is the new Performance Max household income exclusion?

A campaign-level setting that lets advertisers exclude specific household income brackets, such as the top 10 percent or lower 50 percent, from Performance Max targeting. It was first spotted in live campaigns in late July 2026 and had not been officially announced by Google at time of writing.

Has Google officially confirmed household income exclusions for Performance Max?

No. As of publication the feature does not appear on Google's official Ads Announcements page or Product Blog, which suggests a limited or staged rollout rather than a confirmed global release. Advertisers who see it in their account should treat it as a real but unofficial test.

Which advertisers should test household income exclusions first?

Categories where price point correlates with buyer income are the clearest fit: luxury retail, financial services, premium home services, high-ticket B2B and automotive. Low-ticket, broad-appeal categories are unlikely to see a meaningful shift from this control.

Did Performance Max have any income targeting before this?

Household income exclusions have existed in Search, Display, Demand Gen and Video campaigns for years. Performance Max and Shopping were the two campaign types where the control was missing until this rollout, which is why practitioners spotted it as a genuine gap being closed.

How accurate is Google's household income data?

Google's income brackets are modeled estimates built from browsing behavior, location and other signals, not verified financial data. They are directionally useful at scale but should not be treated as precise for any individual user, which is why testing against a control group matters before rolling exclusions out broadly.

Why does an audience control matter when Google Ads costs are rising?

2026 benchmark data shows Google Ads CPCs up 10 to 25 percent year over year across most industries while conversion rates fell in 13 of 14 tracked industries. When cost per click rises and conversion rate falls at the same time, tighter audience controls that cut spend on unlikely buyers protect CAC more than they did a year ago.

The takeaway

Google keeps chipping away at Performance Max's black box a control at a time, and household income exclusion is the latest piece, unconfirmed but real. If your category sells at a price point that correlates with income, check whether the setting has reached your account and run a controlled test before assuming it works the way the brackets imply. In a year when clicks cost more and convert less, a free targeting lever is worth the week it takes to test properly.

Rahul Gupta

Founder of HyberX, a digital growth agency working with brands across the US, Europe, the Middle East and India. Writes on web design, paid media and conversion optimisation.

More about Rahul · LinkedIn

Related reading

Want a second set of eyes on your Performance Max setup?

Tell us your category and current CAC and we will tell you honestly whether an income exclusion test is worth running this quarter.

Book a Growth Call