What is PMax?
Performance Max, or PMax, is a Google Ads campaign type that runs across all Google channels. It uses automation and machine learning to decide which ads to show, who to show them to, and where they appear.
What is PMax?
PMax is an AI-powered campaign type within Google Ads. It combines all Google channels, from Search and Display to YouTube and Discover into a single campaign designed to maximise ad performance. To do that, Google automatically selects the best-performing mix of ad formats, audience targeting and bids.
Google introduced Pmax to make managing campaigns easier. In traditional setups, advertisers usually have to optimise each channel separately, which takes time and requires hands-on expertise. Performance Max brings all channels together and runs them from one campaign.
PMax also uses machine learning to predict how likely users are to convert and use ad budgets more efficiently. Advertisers only need to provide target audiences, assets such as images, videos and text, along with a budget. Google then takes care of ad delivery, bid optimisation and audience targeting.
How is PMax different from traditional campaign types?
Compared to traditional campaigns, PMax takes a more automated, cross-channel approach. Traditional campaigns are usually built around a single channel, such as Search or Display. PMax brings all of these channels together in one campaign.
Here’s how Performance Max compares to traditional campaign types:
- Search campaigns: Search campaigns are part of search engine marketing and focus on keywords and search queries. PMax also uses search queries but combines them with Display and video placements to reach more people.
- Display campaigns: Display campaigns place banner ads on websites across the Google Network. PMax handles this automatically, using conversion data to focus on users most likely to take action.
- Shopping campaigns: Google Shopping ads show products directly in Google Search results. PMax also uses product feeds to show products on YouTube or Discover.
- Demand Gen (formerly Discovery): Demand Gen campaigns focus on visual storytelling and appear in places like YouTube Shorts, Google Discover, and Gmail. PMax uses this inventory as well but automates delivery and blends these formats with Search and Shopping ads to maximise the number of conversions.
What are the advantages and limitations of PMax?
The biggest advantage of Performance Max is the time it saves through automation. Traditional campaigns often require hands-on optimisation across keywords, placements and channels. With PMax, Google handles most of this work by automatically targeting audiences, combining ad formats and adjusting bids. Another key benefit is cross-channel reach. PMax brings all Google channels together, allowing advertisers to reach potential customers throughout the customer journey without setting up separate campaigns for each channel. Advertisers also benefit from AI-driven optimisation, powered by machine learning. These algorithms continuously analyse conversion data and user behaviour and then use that information to improve how ads are delivered over time.
That said, PMax also has clear limitations. Transparency is limited. Detailed insights into keywords, placements and audiences aren’t fully disclosed, which makes fine-tuning campaigns harder. Advertisers who want full control over every placement or search term may find PMax restrictive. Another limitation is the need for enough conversion data. PMax works best when the system has enough data to identify patterns and make reliable predictions.
| Advantages | Disadvantages |
|---|---|
| ✓ Saves time through automation | ✗ Limited transparency |
| ✓ Cross-channel ads | ✗ Hard to make improvements |
| ✓ Greater reach from conversion optimisation | ✗ Doesn’t work well with small budgets due to limited data |
| ✓ Efficient budget use thanks to AI |
How PMax automation works and what advertisers need to provide
What sets Performance Max apart is how much it automates. Google handles tasks that would otherwise require manual work and makes real-time decisions using data and machine learning. PMax manages several key elements automatically:
- Bidding: Google adjusts bids in real time to meet the campaign’s goals, using signals like user behaviour, conversion likelihood and available budget.
- Placements: Ads run across all channels. The AI model identifies users who are most likely to convert and shows the ads to them.
- Ad delivery: PMax selects the most effective combination of ad formats, targeting and context to ensure each ad gets the best result.
For Performance Max’s AI to work well, advertisers need to provide specific information. This information is what the AI uses to automatically optimise campaigns.
- Audience signals: These include interests, remarketing lists or custom audiences. This information helps the AI identify relevant users.
- Search themes: To give advertisers a bit more influence, PMax lets them define specific search themes. These help steer the AI toward relevant search queries, even if they aren’t yet covered by landing pages or past conversions.
- Assets: Advertisers provide text, images, videos, and logos. The AI automatically combines these into ad variations and tests which ones perform best.
- Campaign goals and budget: Advertisers define target outcomes, such as leads or sales, and set the budget so the AI can optimise for those goals.
- Conversion data: Historical and current tracking data allow the AI to identify patterns and improve ad delivery over time.
Taken together, this information and automation allow the AI to use budgets more efficiently and improve campaign performance over time.
Which channels does Performance Max cover?
By running across multiple Google channels at once, Performance Max reaches users well beyond Search alone. It also shows ads in visual, video-based and feed-style formats.
- Search: PMax shows classic text ads in Google Search. For example, if someone searches for ‘women’s running shoes,’ PMax automatically shows relevant products from your store. PMax uses machine-based targeting to include similar search queries and expand reach.
- Banner: Banner ads appear on partner sites across the Google Display Network. If a user is reading an article about fitness tips, PMax may show ads for running shoes or sportswear. The AI selects the banner version that is most likely to lead to a conversion.
- Video ads: PMax runs video ads on YouTube in a range formats, including in-stream ads before a video or discovery-style placements next to related content. This allows say a sporting goods retailer to show products to viewers of a sports video, even when they aren’t actively searching for them.
- Gmail: Ads can also appear as personalised promotions in Gmail inboxes, for example for users who subscribe to fitness or sports newsletters. In Google Discover, products can show up in a user’s feed based on their interests, such as new running shoes for fitness enthusiasts.
PMax’s cross-channel setup lets advertisers reach potential customers at different touchpoints. This means they can target people who are already searching for products and reach new audiences who discover them through other content.
When does using PMax make sense and what are some best practices?
Performance Max works well for e-commerce businesses that want to promote their products across multiple channels at the same time. Because PMax runs ads across channels, advertisers can reach potential customers in different places, using a range of formats. Lead generation can also benefit from PMax, as long as there’s enough conversion data for the AI to identify patterns and optimise the campaign.
If a business wants to target specific keywords, combining PMax with external keyword tools can help identify search trends as well as the relevant terms.
Here are some best practices for using PMax:
- Provide high-quality assets: Videos, images, headlines, and logos should be professionally designed, since the AI automatically combines and tests them.
- Use conversion tracking: The AI can only learn which users are most likely to convert if tracking is set up correctly.
- Set realistic budgets: Especially during the learning phase, the AI needs enough data to optimise effectively.
PMax is less suitable for businesses with a very small budget or very few conversions, since the AI has limited data to learn from. It’s also not the best choice for advertisers who want full control over every placement, keyword or channel. In those cases, traditional campaign types are usually a better fit.
How much transparency and control does PMax offer?
Compared to traditional campaigns, Performance Max doesn’t provide detailed reports for individual keywords or ad placements. The exact algorithms that decide how ads are delivered aren’t visible to advertisers either. As a result, some fine-grained adjustments that are possible in traditional campaigns can’t be made directly in PMax. That said, advertisers still have a few ways to influence how campaigns run:
- Asset groups: By carefully selecting text, images, videos and other assets, advertisers can shape a campaign’s creative direction. You decide which assets go into the campaign, and the AI tests different combinations automatically.
- Audience signals: Using remarketing lists or custom audiences gives the AI clearer guidance, so it can focus on the right user groups.
- Brand exclusions and negative keywords: At the campaign level, advertisers can use brand exclusions to avoid showing ads for irrelevant searches or certain brand terms. You can also set negative keywords at the account level, which will also apply to PMax.
- Budget and goal adjustments: By setting daily budgets, campaign goals and bid strategies, advertisers define the framework the AI works within.