Google PMax Alternatives: 5 Best Options to Scale on the Open Web in 2026

Google Performance Max (or Google PMax) promised to handle everything: budget allocation, placements, bidding, and creative testing. Hand it the keys and let the algorithm drive! For a lot of advertisers, that trade-off worked well enough to stick with.

But, PMax is a Google product and remains within Google’s ecosystem. Every dollar you spend runs through Google’s inventory at Google’s prices, while your audience spends more than half their digital time somewhere else entirely, such as on news sites, streaming platforms, financial publishers, and apps that have nothing to do with Google.

In this guide, we break down the five best Google PMax alternatives.

The 5 Best Google PMax Alternatives For Open Web Scaling

These five platforms represent different approaches to open web performance advertising, from agentic AI solutions to full-service DSPs. Each one solves different parts of the PMax problem: the right choice depends on where your biggest constraint is, whether that’s control, reach, transparency, or access to first-party data-driven targeting.

1. Realize+ — Best Agentic Solution For the Open Web

Realize+ is an agentic performance advertising platform, built to automate campaign buying and optimization at scale, but across the open web instead of within Google’s closed ecosystem. Where PMax locks you into Google’s properties, Realize+ operates across a network of premium publishers, including TIME, Yahoo News, the Weather Channel, USA TODAY Network, and thousands of others. It’s designed for advertisers who want autonomous, AI-driven campaign management without ecosystem dependency.

The platform’s agentic layer is what distinguishes it from conventional programmatic tools. Realize+ doesn’t require you to monitor performance and make manual adjustments: its AI advertising agents make buying decisions continuously, testing placements, adjusting bids, and reallocating budget. They do this with full visibility into reporting, so you know exactly what decisions were made and why.

Features:

• The Campaign Generator function automatically generates and optimizes campaign elements (campaigns, creatives, audiences) to fit your evolving strategy.
• Realize+’s AI agents monitor campaign performance in real time and adjust bids automatically to hit your targets, automating optimization without surrendering visibility into where your budget goes.
• Predictive Audiences uses first-party data signals to identify your best converters (some advertisers have grown conversions by up to 270% while holding CPAs stable). Realize+ continuously refines these audience models as campaigns run.
• Realize+ operates across a curated network of vetted publisher sites, giving you blocklist controls at the placement level, a self-serve capability PMax doesn’t offer. The agentic system uses these constraints as hard guardrails while continuing to optimize within them.
• Realize+ integrates with your CRM, customer lists, and conversion data to build and activate custom audiences, without relying on third-party cookies.

Pricing model: Performance-based model; campaigns billed on CPC basis, or CPM for programmatic.

Pros:

• Agentic AI makes real-time optimization decisions without requiring manual intervention.
• Full placement-level transparency so you see exactly where your ads ran.
• Access to premium publisher inventory outside Google’s ecosystem.
• Self-serve brand safety and placement exclusion controls.
• Predictive audience discovery drives incremental reach beyond your known audience.
• Automatically generates and optimizes your campaigns, creatives, and audiences.
• Integrates with major analytics platforms, Google Analytics, and conversion APIs.

Cons:

• Network is strongest in native and content formats; not a fit if you need pure search or social inventory.
• Minimum spend thresholds apply for managed campaigns.
• Best results require clean first-party conversion data to fuel the agentic optimization.

2. Criteo Commerce Growth — Best For E-commerce Performance Marketing

Criteo Commerce Growth is an AI-powered performance platform built on one of the largest commerce datasets outside of Amazon. The platform’s core advantage is its access to purchase-signal data from more than 22,000 brand and retailer partners, which it uses to predict who’s most likely to buy, when, and at what price point. For e-commerce advertisers, that kind of purchase-intent data is a meaningful differentiator over generic behavioral targeting.

The platform covers customer acquisition and retention across the open web, social, video, and connected TV (CTV). Its dynamic creative optimization automatically generates product-specific ads personalized to each user’s browsing and purchase history.

Features:

• Criteo’s AI-powered predictive bidding is based on user value and purchase intent signals.
• Criteo offers dynamic product catalog ads that update in real time, based on the live inventory available.
• The platform includes lookalike modeling for new customer acquisition beyond simply retargeting audiences.
• Cross-channel activation is available across open web display, social, video, and CTV.
• The Commerce Insights dashboard offers users transparent attribution and measurement.

Pricing model: Cost-per-click (CPC) and CPM-based, with custom pricing based on spend levels and campaign scope. Pricing is available on request through Criteo’s website.

Pros:

• Unmatched commerce dataset for purchase-intent targeting.
• Strong retargeting capabilities that go well beyond basic pixel-based remarketing.
• Cross-channel campaign management in a single platform.
• Works without a heavy technical setup, so campaigns can go live quickly.

Cons:

• Less suited for lead generation or non-commerce verticals.
• Some users report a learning curve on the reporting interface.
• Customer support quality can vary, per reviews, depending on account size.

3. The Trade Desk — Best For Programmatic Transparency and Scale

The Trade Desk is the largest independent among DSP open web platforms in the programmatic advertising market, and its independence is the point. Unlike Google’s DV360, which routes spend through its own inventory whenever possible, The Trade Desk has no owned inventory to protect. It gives advertisers access to open web supply across display, video, audio, CTV, digital out-of-home (DOOH), and in-game advertising, with no algorithmic bias toward any particular publisher or format.

The platform’s Kokai AI engine brings a layer of predictive optimization to campaigns. Still, The Trade Desk is primarily designed for teams that want expert-level control over their media strategy. It processes more than 13 million impressions per second and provides advertisers with granular visibility into bid decisions, cost structures, and performance by placement.

Features:

• The Trade Desk utilizes Kokai AI for predictive pacing, audience modeling, and in-flight optimization.
• The platform offers omnichannel programmatic advertising across display, video, CTV, audio, DOOH, and more.
• The Trade Desk has a robust data marketplace with more than 500 audience data provider integrations.
• You get full transparency on CPMs, bid outcomes, and the entire programmatic supply chain.
• You also get goals-based buying with multi-key performance indicator (KPI) optimization.

Pricing model: Platform fee of approximately 15–20% of media spend. They have custom contracts for agencies and enterprise advertisers.

Pros:

• No inventory conflicts as optimization is neutral across all supply sources.
• Industry-leading transparency into where ads run and what you pay per impression.
• Strong CTV and streaming inventory access through direct publisher deals.
• Extensive third-party data integrations for precise audience targeting.

Cons:

• Significant minimum spend requirements make it inaccessible for smaller advertisers.
• Steep learning curve; it’s designed for experienced programmatic buyers and agencies.
• Contracting and customer service processes have received critical feedback from smaller accounts, per reviews.

4. StackAdapt — Best for Multi-Channel Programmatic Without a Steep Learning Curve

StackAdapt occupies an interesting position in the DSP market. It has the multi-channel capabilities of an enterprise platform, but employs an interface that experienced programmatic buyers can pick up without a week-long onboarding process. The platform consistently earns high marks for usability in G2 and Gartner reviews, particularly from teams expanding into programmatic for the first time, or moving away from managed service relationships.

It covers native, display, video, CTV, audio, in-game, and DOOH advertising, with machine learning optimization across all channels. Its contextual AI targeting is a practical solution for cookieless environments, targeting based on content signals rather than user-level identity data.

Features:

• StackAdapt offers multi-channel programmatic across native, display, video, CTV, audio, and DOOH.
• The platform’s contextual AI targeting works without third-party cookie dependency.
• The planner tool includes campaign budget and performance forecasting by campaign parameters.
• StackAdapt gives you real-time reporting and customizable dashboards.
• Account management support is included at most spend levels.

Pricing model: Custom pricing based on campaign budget and spend. No publicly listed minimums, but pricing is available on request.

Pros:

• It has one of the most user-friendly DSPs in the market.
• Strong customer support and account management across account sizes.
• Contextual targeting handles cookieless environments without workarounds.
• No minimum spend threshold, which makes it accessible for mid-market advertisers.

Cons:

• Reporting customization has some limitations compared to more mature enterprise platforms.
• Less depth in data marketplace integrations than The Trade Desk.
• Premium inventory access is more limited for smaller accounts.

5. Yahoo DSP — Best For Identity-Resilient Reach With No Ad-Serving Fees

Yahoo DSP is one of the more underestimated platforms in the open web advertising space. Its core differentiator is ConnectID, Yahoo’s first-party identity solution, which achieves among the highest match rates on the open web as third-party cookies continue to lose relevance. For advertisers building privacy-first targeting strategies, that identity backbone is a significant operational advantage.

The platform provides access to Yahoo’s owned-and-operated inventory across Yahoo News, Yahoo Finance, Yahoo Sports, and AOL, plus a broader programmatic marketplace spanning display, video, native, and CTV. Yahoo also recently expanded its premium publisher access through Yahoo Backstage, which offers direct deals with major streaming and content brands, including Paramount, Disney, Hulu, Spotify, and Roku.

Features:

• Yahoo DSP offers ConnectID first-party identity matching for cookieless targeting at scale.
• The platform includes Yahoo Backstage for direct-deal access to premium streaming and publisher inventory.
• Full programmatic supply-chain transparency with the Association of National Advertisers and the Trustworthy Accountability Group (ANA/TAG) TrustNet certification.
• No ad serving fees, with transparent audience pricing visible in-platform before launch.
• CTV and streaming capabilities across major platforms.

Pricing model: Custom CPM/CPC-based pricing. No ad serving fees. Audience data costs are visible inside the platform before campaign launch. Contact Yahoo Advertising for account setup.

Pros:

• Industry-leading identity resolution via ConnectID, particularly strong in a post-cookie environment.
• Transparent ad buying with no hidden ad serving fees.
• Direct access to premium streaming inventory through Yahoo Backstage.
• Full supply-chain transparency certified through ANA and TAG.

Cons:

• Platform’s owned-and-operated inventory skews toward news, finance, and sports audiences.
• Reporting can lag for CTV and video campaigns.
• Creative review and approval timelines can slow launch schedules.

Key Features to Look for in an Open Web Advertising Platform

Not every alternative to PMax serves the same use case. When you’re evaluating platforms, these are the capabilities that distinguish a capable open web solution from one that’s just another walled garden:

Placement-Level Transparency

Channel reporting tells you that Display spent 35% of your budget. Placement-level reporting tells you which sites the budget went to and the cost per conversion. The first is interesting. The second is actionable. Any platform worth moving budget to should give you the second.

First-Party Data Integration

As third-party cookies decline, your customer relationship management system (CRM) data, customer lists, and server-side conversion signals become your most durable targeting infrastructure. Look for platforms that can ingest this data directly and use it to build lookalike audiences or optimize toward your best-converting segments.

Agentic Optimization Capabilities

A system that only executes your manual rules isn’t much better than a spreadsheet. The platforms in this guide all offer some form of AI-driven optimization. The question to ask is how transparent that optimization is. Can you see what decisions the system made, why the platform made them, and where it spent your money as a result?

Brand Safety and Exclusion Controls

Self-serve blocklists, content category exclusions, and placement-level controls matter more than most advertisers realize until they see a screengrab of their ad somewhere unexpected. Confirm that these controls exist, that they’re self-serve, and that they apply at the campaign level, not just as account-level settings you have to ask a rep to configure.

Cookieless Targeting Pathways

Third-party cookies aren’t fully dead yet, but they’re no longer a reliable targeting infrastructure. Platforms with first-party identity solutions, contextual AI, or direct publisher data relationships are better positioned for the direction targeting is heading than those that still primarily rely on cookie-based segments.

Cross-Channel Measurement

One of the benefits of moving your budget outside a single platform is cleaner performance comparisons. Make sure the platform you choose supports third-party measurement partners, so you can apply consistent attribution across channels without being locked into a proprietary measurement framework.

Preparing Your Data For a Post-PMax Strategy

Moving budget to open web platforms involves a change in your data strategy. The platforms that perform best on the open web are those with the richest signals to work with. Here’s what to sort out before you shift spend.

Clean Your First-Party Data

Conversion APIs, CRM integrations, and server-side event tracking give agentic platforms the signal quality they need to optimize effectively. If your only conversion data is browser-based pixels, you’re giving the algorithm a partial picture. Prioritize implementing server-side conversion feeds before scaling spend on any of the platforms in this guide.

Define Your Optimization Goal Clearly

Agentic platforms optimize toward a specific objective. Typically, that objective is a target CPA, ROAS, or to maximize conversions within a budget. The clearer the goal is, and the more conversion data you have feeding it, the faster the system reaches stable performance. Starting a campaign with vague goals and a limited conversion history will lead to slow, costly learning periods.

Build Audience Segments From Your CRM

Customer lists, high-lifetime value (LTV) segment exports, and lookalike seed audiences built from your best customers gives a platform like Realize+ the raw material for predictive audience modeling. Upload these before launch, not after.

Set Up Cross-Channel Measurement

Decide how you’ll attribute conversions across platforms before you start spending. Whether that’s a third-party attribution tool or a consistent Urchin Tracking Module (UTM)-based framework in your analytics stack, having a measurement approach that doesn’t favor any single platform will let you make honest spend allocation decisions as campaigns scale.

More About Google Performance Max

The Problem With Google Performance Max

When PMax launched, advertisers handed Google a level of control it had never formally asked for before. Prior to PMax, advertisers had full authority over where their ads ran and how their budgets were allocated across every Google-owned surface. The pitch was simple: better AI means better outcomes.

However, the results were mixed. PMax drove conversions for many advertisers. It also developed a reputation for some specific behaviors that frustrated campaign managers, media buyers, and performance marketing leads alike, leading them to look for Google Ads PMax competitors.

Budget Cannibalization of Branded Search

PMax and branded Search campaigns often compete for the same users. When PMax intercepts a branded query that a Search campaign would have converted at a lower cost per acquisition (CPA), it inflates reported return on ad spend (ROAS) without adding incremental revenue. The user was already coming to you, but Google’s system counted it as a win anyway.

Channel Reporting Without Channel Control

Google’s May 2025 update brought channel-level performance reporting to PMax campaigns, a significant improvement: advertisers could finally see how spend was distributed across Search, YouTube, Display, Discover, Gmail, and Maps. But, transparency isn’t the same as control. Now, you can see, e.g., that your Display allocation is underperforming, but you can’t pause Display while keeping the rest of the campaign running. The algorithm rebalances on its own timeline.

Ecosystem Lock-in

PMax is, by design, a Google product. Expanding your reach beyond Google’s properties requires separate platforms, separate budgets, and separate measurement frameworks. For advertisers trying to diversify their performance marketing mix, PMax doesn’t scale outward — it scales deeper into the same ecosystem.

A real-world example from Grow My Ads makes this concrete: After cutting PMax spend by 80% and redistributing budget to Standard Shopping and Search campaigns, three e-commerce brands saw revenue increases ranging from 35% to 45% with only marginal increases in total spend. The automation wasn’t the problem, but rather the lack of control over how that automation worked.

What Are Agentic Solutions in Advertising?

Basic programmatic automation follows rules. You set bid caps, frequency limits, targeting criteria, and budget allocations. The system executes within those constraints. When something underperforms, you adjust the rules. When you’re not watching, nothing changes.

Agentic advertising works differently. An agentic system doesn’t wait for marketers to notice a problem and update a parameter. Instead, it:

1. Identifies performance patterns, draws conclusions, and makes buying decisions autonomously.
2. Sets and adjusts bids in real time.
3. Reallocates spend toward placements that are converting and away from ones that aren’t.
4. Tests creative variants and shifts budget toward what’s working, without a campaign manager manually reviewing a report first.

The distinction is important because it changes what “automation” delivers. Traditional automation is a set of instructions that runs without your involvement. Agentic AI is a system that learns, adapts, and operates with a degree of independent judgment. The goal is the same: efficient ad spending at scale. The mechanism, however, is substantially more capable.

What separates a good agentic solution from a basic one is transparency. The best agentic solutions for advertising in this category let you see what their agents are doing and why. They surface the decisions the AI made, show you where your spend went, and give you meaningful controls when you want to override.

The Benefits of Scaling Campaigns on The Open Web

Google’s advertising network is large, but it’s not the whole internet. Consumers move constantly between search engines, news publishers, streaming apps, financial sites, sports platforms, and retail properties. The Reuters Institute’s Digital News Report consistently finds that a substantial share of digital news consumption occurs directly on publisher sites, rather than through Google’s platforms. Streaming audiences on platforms like Peacock, Paramount+, and Spotify aren’t Google inventory, either. Nor are the thousands of premium publisher sites that participate in programmatic marketplaces outside of Google Display Network (GDN).

Open web advertising lets you reach these audiences. Here are some specific advantages worth considering:

Lower Costs Per Mille (CPMs) in Many Categories

Google’s inventory is competitive. Premium publisher inventory outside Google’s network is often priced more efficiently, particularly for display and native formats. Lower CPMs don’t automatically mean better return on investment (ROI), but they create more room for testing and optimization without burning through budget quickly.

Access to Curated, Premium Publisher Inventory

Demand-server platforms (DSPs) and performance platforms with strong publisher relationships give you access to brand-safe, premium environments. Think major news outlets, financial publishers, lifestyle media, and CTV networks.

Escape From Self-Referential Measurement

When you run PMax, Google measures the results in Google’s attribution system. When you diversify across open web platforms, you can apply consistent cross-channel measurement and make comparisons that aren’t built on Google’s own math.

Reduced Dependency Risk

Advertisers who concentrated their spend entirely in walled gardens discovered how exposed they were when platforms changed policies, raised prices, or altered algorithms. Open web diversification distributes that risk.

Key Takeaways

PMax remains a useful tool for advertisers with straightforward conversion goals and no strong preference for where their ads appear within Google’s properties. The 2025 transparency updates were real improvements. But, transparency without control is still a constraint, and it’s a constraint that doesn’t exist on the open web. The five Performance Max alternatives in this guide represent different entry points to open web performance advertising, although your choice will ultimately come down to your company’s specific needs.

Frequently Asked Questions (FAQs)

What is an agentic solution in advertising?

An agentic advertising solution uses AI to make independent campaign decisions without waiting for human input. Instead of executing a fixed set of rules you’ve defined, an agentic system monitors performance data in real time, draws its own conclusions about what’s working, and adjusts bids, budget allocations, and placements accordingly. The key difference from standard automation is adaptability: Agentic platforms respond dynamically to changing conditions, rather than remain within a static parameter set.

Is Performance Max going away?

Performance Max isn’t being discontinued: Google continues to develop it and has been pushing advertisers toward it as the default campaign type for full-funnel conversion goals. The 2025 updates, particularly channel-level reporting, addressed some of the transparency criticisms that had built up over several years. What hasn’t changed is the fundamental constraint: PMax operates exclusively within Google’s ecosystem, and advertisers who want to reach audiences on premium publisher sites, streaming platforms, and the broader open web need additional platforms to do so.

Why scale on the open web instead of just Google and Meta?

Consumers spend more than half of their digital time on properties unrelated to Google or Meta. Publisher sites, news platforms, streaming apps, financial media, and content networks are all walled garden alternatives that capture meaningful audience attention that neither walled garden can reach. Scaling on the open web through DSPs and performance platforms like Realize+ gives you access to that audience, often at lower CPMs than you’d see inside Google’s competitive inventory auction, with the added benefit of transparent placement-level reporting that tells you exactly where your ads ran.

How do PMax alternatives provide better brand safety?

PMax’s brand safety controls are largely at the account level and require working with a Google rep to implement domain exclusions. Most open web DSPs and agentic platforms, such as Realize+, offer self-serve placement exclusions, content category blocklists, and domain-level controls that you can configure directly in the campaign interface. This gives you faster, more granular control over where your ads appear, without needing to submit a request and wait for it to take effect.