Google's Performance Max campaigns have become the default automated campaign type for most advertisers running on Google. When those same teams look at Microsoft Advertising, the natural question is: does Microsoft have an equivalent, and is it ready to use? The answer is more nuanced than a yes or no.
This post frames Microsoft's automated campaign options through the lens of someone who already understands Google PMax — covering what Microsoft's equivalent actually is, how it works, where it differs from Google's version, and when running it makes sense versus defaulting to standard campaigns.
What Microsoft'S Answer to Performance Max Actually Is (Smart Campaigns vs Pmax vs Automated Bidding)
Microsoft's automated campaign landscape has three distinct layers that are frequently conflated.
Smart Campaigns are the closest equivalent to Google's Performance Max. They're fully automated campaigns where Microsoft controls targeting, bidding, ad serving, and cross-channel placement. You provide assets (headlines, descriptions, images, and optionally video), set a goal, and the algorithm handles distribution. Smart Campaigns are the product Microsoft most directly markets as the PMax equivalent.
Performance Max campaigns — Microsoft does have a product using this exact name, but it was launched later than Google's and remains more limited in scope. As of 2025, Microsoft's Performance Max is available for retail advertisers with shopping feeds but has not yet reached the same breadth of channel coverage and optimization maturity as Google's. For non-retail use cases, Smart Campaigns are the practical automated option.
Automated bidding on standard campaigns (Target CPA, Target ROAS, Maximize Conversions) is the third layer. This is not a campaign type — it's a bidding strategy applied to standard search campaigns. It's worth distinguishing because many accounts will get better results from a well-structured standard search campaign with smart bidding than from a fully automated campaign type. How automated bidding works alongside Performance Max-style campaigns is an important distinction when deciding which automation lever to use.
How Microsoft Performance Max Works: Signals, Asset Groups, and Channel Coverage
Microsoft's Performance Max campaigns organize creative into asset groups — sets of headlines, descriptions, images, and (optionally) videos that the algorithm uses to construct ads. Each asset group can have its own audience signals, which are treated as suggestions rather than hard targeting constraints. The algorithm can serve beyond the signaled audiences if it determines broader targeting will generate conversions at the target CPA.
Channel coverage in Microsoft PMax spans search, Audience Network (MSN, Outlook, Edge), and shopping (for retail accounts). This multi-channel distribution is the defining feature compared to standard campaigns, which are constrained to a single inventory type. Where Smart Campaigns fit within the broader Microsoft Ads platform is worth understanding before enabling them — the multi-channel distribution means performance data is aggregated across very different traffic types.
The algorithm optimizes toward conversion goals set at the campaign level. Feed-based PMax campaigns additionally pull product data to serve shopping ads dynamically. The signals available to the algorithm include UET-based behavioral data, customer lists, and the LinkedIn profile data layer unique to Microsoft.
Microsoft Pmax vs Google Pmax: Key Differences Every PPC Manager Should Know
| Microsoft Performance Max | Google Performance Max | |
|---|---|---|
| Launch timing | 2023-2024 (retail first) | 2021 (full rollout) |
| Retail coverage | Strong (shopping feed integration) | Strong |
| Non-retail coverage | Smart Campaigns (separate product) | Full coverage |
| LinkedIn targeting | Available as audience signal | Not available |
| Optimization maturity | Earlier stage | More mature |
| Reporting granularity | Limited | Limited (similar constraint) |
| Conversion volume requirement | High | High |
The most relevant difference for PPC managers coming from Google: Microsoft's automated campaign ecosystem is earlier in its development. Google had years of data and algorithm iteration before PMax reached its current capability level. Microsoft's equivalent is building toward the same destination but hasn't yet accumulated the same optimization depth, particularly outside of retail.
For cost efficiency, how Microsoft's automation competes with Google Performance Max on cost efficiency reflects the underlying CPC differences between the platforms. Microsoft search inventory costs less, which means automation on Microsoft can hit efficiency targets that might be harder to reach on Google — but only if the conversion volume is sufficient for the algorithm to optimize.
The reporting transparency problem is shared by both platforms. Microsoft PMax provides limited campaign-level visibility into which channels are driving performance, which asset combinations are winning, and how audience signals are influencing delivery. This is not a Microsoft-specific failing — Google PMax has the same opacity. But it compounds the trust and validation challenge on a newer platform where benchmarks are less established.
When to Use Microsoft Performance Max (and When to Stick with Standard Campaigns)
The fundamental requirement for automated campaign types is conversion volume. The algorithm needs enough signals to optimize. On a smaller network like Microsoft, that bar can be harder to clear.
Use Microsoft Performance Max (or Smart Campaigns) when:
- Your Microsoft search campaigns are already converting consistently — at minimum 30-50 conversions per month, ideally more
- You're running retail campaigns with a well-structured product feed
- You want to extend beyond search into the Audience Network without managing separate campaigns manually
- You've exhausted the efficiency gains available from manual optimization of standard campaigns
Stick with standard search campaigns when:
- Your account is new to Microsoft Ads and still building conversion history
- Monthly Microsoft conversion volume is below 30 — automated bidding won't function properly with sparse data
- You need granular control over keyword targeting that automated campaigns don't provide
- You're running a direct response campaign in a niche category where broad audience targeting will generate irrelevant traffic
The automation is only as good as the data it has to learn from. Launching PMax on a new account with no conversion history is optimizing toward nothing.
For how to interpret performance data from automated campaign types, the key habit is comparing CPA from automated campaigns against CPA from equivalent standard campaigns over the same period — not comparing automated campaign performance to a zero baseline.
Setup and Asset Requirements: What You Need Before Launching Microsoft Pmax
Before launching, verify these are in place:
Conversion tracking (non-negotiable)
UET must be installed and firing correctly. Conversion goals must be created in Microsoft Ads — not inherited from Google, not estimated. Smart bidding algorithms require verified conversion data from UET to function. Check UET firing with the UET Tag Helper before creating the campaign.
Asset inventory
Microsoft PMax requires:
- Minimum 3 headlines (up to 15)
- Minimum 2 descriptions (up to 4)
- Minimum 1 landscape image (1.91:1 ratio, minimum 1200x628)
- Minimum 1 square image (1:1 ratio, minimum 1200x1200)
- Logo image (recommended)
- Optional: video assets (Microsoft will auto-generate video from images if none are provided — review the auto-generated version before launch, as quality varies)
Audience signals
Provide at minimum one audience signal: a remarketing list, a customer match list, or an in-market audience relevant to your product. These are not targeting constraints but signals that help the algorithm find its footing faster. Accounts with no audience signals give the algorithm nothing to start from.
Budget expectations
Microsoft PMax campaigns should have a daily budget that allows for enough impression volume to generate conversion data within 2-3 weeks. A budget too small extends the learning phase indefinitely. A rough heuristic: daily budget should be at least 10-15x your target CPA to give the algorithm room to learn without constant budget constraints.
For whether Microsoft Performance Max is right for SaaS companies, the answer depends on monthly conversion volume. SaaS companies with thin trial or demo conversion rates often find that standard search campaigns with target CPA bidding outperform automated campaigns on Microsoft until account history is more developed.
Frequently Asked Questions
Does Microsoft Have a Performance Max Equivalent?
Yes. Microsoft has its own Performance Max product (primarily for retail with shopping feeds) and Smart Campaigns (for non-retail automated campaigns). Both are fully automated campaign types where Microsoft controls targeting, bidding, and channel distribution based on asset groups and conversion goals. They're less mature than Google's PMax but follow the same general architecture.
How Much Conversion Volume Does Microsoft Performance Max Need to Work?
Microsoft's automated campaigns need sufficient conversion data to optimize effectively. A reasonable minimum is 30-50 conversions per month in the account before running automated campaign types. Below that threshold, the algorithm lacks enough signal to optimize meaningfully, and standard campaigns with manual bidding or enhanced CPC typically outperform automated options.
Is Microsoft Performance Max Better for Retail or Non-Retail Advertisers?
Retail advertisers with product feeds get more out of Microsoft PMax because the shopping feed integration enables dynamic product ad serving, which is the most developed part of Microsoft's automated campaign system. Non-retail advertisers are working with Smart Campaigns, which are capable but less mature. Retail is the stronger use case as of 2025.
Should I Run Microsoft Performance Max or Standard Search Campaigns?
Start with standard search campaigns if your account is new to Microsoft Ads or has low conversion volume. Once you're generating consistent conversions (30+/month), automated campaigns are worth testing alongside standard campaigns to compare CPA. Don't treat automated campaigns as a replacement for well-structured standard campaigns — treat them as a complement once you have the data to evaluate performance honestly.
Key Takeaways
- Microsoft has three layers of automation: Smart Campaigns (non-retail PMax equivalent), Performance Max (retail-focused), and smart bidding on standard search campaigns — they're distinct products with different use cases.
- Microsoft's automated campaign ecosystem is less mature than Google's; it launched later and has less optimization history, particularly for non-retail use cases.
- LinkedIn profile targeting is available as an audience signal in Microsoft automated campaigns — a unique capability not available in Google PMax.
- Automated campaigns require meaningful conversion volume to function; 30-50 conversions per month is a reasonable minimum before testing PMax or Smart Campaigns.
- Standard search campaigns with smart bidding often outperform automated campaign types on Microsoft for newer accounts — use them as the foundation.
- Reporting granularity in Microsoft PMax is limited (the same constraint as Google PMax), which makes honest performance benchmarking against standard campaigns essential.