A major shift is underway in digital advertising: Meta Platforms is projected to generate more ad revenue than Google in 2026, signaling how marketers are increasingly favoring automated, performance-driven platforms.

Driving the news. According to Emarketer, Meta is expected to bring in $243.46 billion in global ad revenue this year, narrowly topping Google’s projected $239.54 billion.

• Meta is forecast to capture 26.8% of global ad spend.
• Google is projected to take 26.4%.
• It would be the first time Google has lost the top spot in digital ad revenue.

Why we care. Meta’s growth suggests brands are getting more value from automated, performance-focused tools, which could influence how they split budgets between Meta and Google. It’s also a reminder that platform dynamics are changing fast, so media strategies need to stay flexible.

Catch up quick: Google has long dominated digital advertising through Search ads, Display ads across the web, and YouTube.

But its core ad business is growing more slowly than in previous years.

Meanwhile, Meta has benefited from AI-powered ad automation, stronger performance measurement tools, and continued scale across Facebook, Instagram, and WhatsApp.

Why Meta is winning now. Advertisers are increasingly prioritizing platforms that can deliver both reach and measurable return.

Meta’s advantage has been its ability to automate creative and targeting faster, optimize campaigns with less manual input, and make it easier for brands to prove ROI.

That’s especially appealing in a tighter economic environment where marketers are under pressure to do more with less.

Yes, but. Google is still enormous — and still growing.

Its search business remains one of the most profitable ad engines in the world, and YouTube continues to attract brand budgets. But the company faces more pressure from, AI search disruption, antitrust scrutiny, and slowing growth in traditional search advertising.

The bottom line. Meta passing Google in ad revenue would mark more than a symbolic milestone — it reflects a broader power shift toward platforms that make advertising easier to automate, measure, and scale.

A growing number of advertisers say their Google Ads campaigns were suddenly hit with mass disapprovals tied to DNS and 500 server errors — even when their sites appeared to be working normally. The issue is raising fresh concerns about platform reliability and the risk of sudden performance disruptions.

Driving the news. PPC advertisers began flagging widespread problems this week across Google Ads accounts, with multiple agency leaders saying clients were affected at the same time.

• Managing Director at Cornerhouse Media, Ryan Berry, said more than 1,500 ads were disapproved in a single account around 1:30 p.m. UTC.
• Others said they received overnight emails warning that ads had been disapproved.

Why we care. Sudden mass disapprovals can instantly pause traffic, leads, and revenue — even if nothing is actually wrong with their website. If Google’s systems are incorrectly flagging DNS or server errors, brands could lose performance and spend valuable time troubleshooting an issue they didn’t cause. It also highlights the need for closer monitoring and faster escalation when platform glitches happen.

What advertisers are seeing:

• DNS errors, even when internal IT teams found no website issue.
• HTTP 500 errors, despite landing pages loading normally.
• Repeated disapprovals across multiple accounts.

Google Ads trainer, Charlotte Osborne said she saw two separate cases this week — one tied to a DNS error and another to a 500 error — with no issues found on the client side.

Google Advertising specialist Joshua Barr said he received “lots of emails overnight” about disapproved ads and has been dealing with similar problems for weeks.

Several Paid Search experts also said they were seeing the same issue across accounts.

What’s likely happening. Google’s ad review systems use automated crawlers to test landing pages. If Googlebot encounters temporary server issues, DNS lookup failures, redirects, or timeout errors, ads can be automatically disapproved under the platform’s “destination not working” policy.

That means advertisers can be penalized even if:

• their site is live for users,
• the issue is temporary,
• or the problem is on Google’s crawler side.

What to do now:

• Check Google Ads policy manager for exact disapproval reasons.
• Test landing pages using multiple locations and devices.
• Review DNS uptime, redirects, and CDN/firewall settings.
• Submit appeals for clearly incorrect disapprovals.
• Document account-level impacts in case the issue proves platform-wide.

The bottom line. For advertisers, this is a reminder that campaign performance can be derailed by platform glitches as much as by strategy — and when Google’s systems misfire, spend and leads can disappear fast.

First spotted. The errors were first spotted by Ryan Berry in the UK and Founder Anthony Higman also spotted issues in the US.

Google’s legal troubles over its search and ad tech businesses are entering a new phase — one that could expose the company to billions in payouts from advertisers seeking damages after U.S. courts found it illegally monopolized key digital ad markets.

Driving the news. A growing group of advertisers is preparing to file mass arbitration claims against Google, according to attorney Ashley Keller, who said the first filings are expected this week.

• Keller says he has already signed up a “significant number” of advertisers.
• He estimates potential claims tied to online search and display advertising could exceed $218 billion, based on economic analysis his firm commissioned.
• Similar mass arbitration cases typically take 12 to 24 months to resolve.

Catch up quick. Courts in 2024 dealt Google major antitrust blows.

• A federal court in Washington, D.C. found Google illegally monopolized online search.
• A separate federal court ruled Google also illegally monopolized parts of the ad tech stack that connects advertisers with publishers.
• Google is appealing both decisions.

Why we care. This case could open a path to recover money advertisers believe they overpaid for search and display ads due to Google’s alleged monopoly power. Mass arbitration may give businesses more leverage than individual claims and could pressure Google into settlements.

It also signals growing legal scrutiny of the digital ad market, which could eventually lead to more competition and lower costs.

Why arbitration matters. Most advertisers can’t simply sue Google in court because their contracts require disputes to go through arbitration.

That usually favors large companies when claims are handled one by one. But mass arbitration — which bundles 25 or more similar claims — can shift leverage back toward claimants.

• It increases pressure to settle.
• It can lower legal costs for smaller businesses.
• It allows companies with relatively modest individual claims to pursue damages collectively.

What’s new. This case could break new ground because most mass arbitrations to date have involved consumers or workers — not corporate plaintiffs.

A large-scale advertiser action against Google would be among the first major efforts to use the strategy for business-to-business claims.

What Google says. In a recent filing, Google said it faces private damages claims tied to global antitrust cases but cannot yet estimate potential losses.

The company said it believes it has “strong arguments” and plans to defend itself aggressively.

The bottom line. Google’s antitrust losses are no longer just a regulatory problem — they are becoming a direct financial threat, with advertisers now testing whether mass arbitration can turn monopoly rulings into real payouts.

Google is changing how Google Analytics and Google Ads share consent signals — a shift that could have major implications for marketers’ tracking setups starting this summer.

What’s happening. Beginning June 15th, Google Ads data collection will rely solely on the ad_storage consent setting, removing a layer of complexity that previously came from linked Google Analytics configurations.

Until now, ad data flows between Analytics and Ads were influenced by both Consent Mode and Google Signals settings inside GA. That created confusion for marketers, especially because some of the controls were buried in Analytics settings rather than clearly surfaced in ad consent banners or tag implementations.

Starting in June, Google is simplifying that structure. Google Analytics data collection will still be governed by Google Signals, but Google Ads will look only at whether users have granted ad_storage consent.

That means a linked Google Analytics tag will no longer affect whether Google Ads can collect or use advertising identifiers.

What changes. For many advertisers, the update will effectively create a cleaner — but more rigid — consent framework.

If ad_storage is granted, Google Ads may use all available advertising signals, including linking activity to a user’s signed-in Google account when possible. If ad_storage is denied, Google will be limited to less persistent signals, such as URL parameters like gclid.

There appears to be little middle ground. Marketers will have less ambiguity about what drives ads data collection, but they will also have fewer ways to fine-tune what gets shared.

Why we care. This change makes consent settings much more consequential for measurement, attribution and audience targeting. From June, whether Google Ads can use identifiers will depend almost entirely on the ad_storage signal, so any gaps or errors in consent mode setup could directly affect campaign performance data.

It also removes some hidden complexity from linked Google Analytics settings, giving advertisers clearer rules — but less flexibility.

Between the lines. The move reflects Google’s broader push to make consent systems easier to understand for advertisers and regulators.

A single source of truth for ad consent could reduce implementation errors and make compliance easier to explain. But it also puts more pressure on brands to ensure their Consent Mode setup is working properly.

If consent updates are delayed, misconfigured or incomplete, marketers could see gaps in measurement, attribution and audience targeting.

What marketers should do now. Audit your consent implementation before the June deadline.

Teams should confirm that Consent Mode update calls are firing correctly and that ad_storage settings accurately reflect user choices. Brands with Google Signals turned off should pay particular attention: under the new setup, they could see more Ads-linked data than before if users grant ad consent.

For marketers, the takeaway is simple: cleaner rules are coming, but getting consent right will matter more than ever.

Dig deeper. Updates to Google Analytics Data Controls

In an AI-driven economy, companies have more data than ever but still struggle to turn it into useful daily decisions. Google is betting that a revamped Data Studio can become the place where users quickly explore, organize and act on data across its ecosystem.

Why the switch back. Google says the new Data Studio will serve as a central hub for a range of assets, from traditional reports and dashboards to data apps built in Colab and BigQuery conversational agents. The idea is to give users one place to work with the tools and information that shape their business each day.

Flashback. Three years ago, Google folded Data Studio into its broader analytics push by rebranding it as Looker Studio. Now, it is separating the products again as customer needs evolve.

Two versions. Google is launching two versions of the product.

• Data Studio will remain free for individuals and small teams that need quick analysis and visualization.
• Data Studio Pro, meanwhile, is aimed at larger organizations that need stronger security, compliance, management controls and AI capabilities, with licenses sold through the Google Cloud and Workspace admin consoles.

Why we care. The (kind of) new Data Studio could make it much easier to pull together campaign, audience and performance data from across Google’s ecosystem in one place. That means faster reporting, easier ad hoc analysis and quicker answers without relying as heavily on analysts or engineering teams. For brands already using Google Ads, BigQuery or Sheets, it could streamline how teams track performance and make day-to-day budget and creative decisions.

Where Looker fits in. Under the new structure, Looker will remain Google Cloud’s enterprise business intelligence platform, focused on governed data, semantic modeling and large-scale analytics. Data Studio, by contrast, is being positioned as the faster, more flexible option for personal exploration, ad hoc reporting and lightweight dashboards across services like BigQuery, Google Sheets and Ads.

What’s next. For existing users, Google says the transition should be seamless. Current reports, data sources and assets will carry over automatically, with no action required.

Google plans to share more about the relaunch and its broader analytics strategy at Google Cloud Next ’26 later this month.

Dig deeper. Data Studio returns as new home for Data Cloud assets

Maddie Lightening, head of paid media at Hallam, joined me to talk through the mistakes, lessons and mindset shifts that have shaped her career in PPC. With more than a decade of experience across search, social, programmatic, digital out of home and ABM, she shared a candid look at the realities of leading paid media in a fast-moving industry.

The reporting mistake that doubled performance

One of Maddie’s early mistakes involved misreporting performance due to account currency differences. Working with an Australian billing setup while reporting in GBP, she unknowingly halved the reported results because conversion values were being translated. The issue only surfaced after comparing platform data with CRM figures, revealing that performance was actually twice as strong as reported, highlighting how easily technical setup details can skew results.

When legacy account structure becomes a problem

A more complex challenge came from a travel client running an outdated, highly granular account structure with thousands of campaigns. While this “2016-style” setup had previously worked, it clashed with modern AI-driven bidding and data consolidation approaches, making it harder to optimize performance and diagnose issues when results began to decline.

Why timing matters as much as strategy

Maddie explained that although the team had planned to restructure the account, they delayed it to avoid disrupting peak season. When performance dropped in January, they were forced to make multiple changes quickly, which increased pressure and complexity. In hindsight, starting the restructure earlier would likely have reduced risk, showing that delaying necessary changes can sometimes be more damaging than acting sooner.

The pressure of fixing performance in real time

As performance declined during a critical period, the client became understandably concerned, especially given how much of their annual budget was tied to peak months. At the same time, audits and internal reviews added pressure, making it one of the most challenging moments of Maddie’s career, but also reinforcing the importance of collaboration, support and staying focused on solutions rather than panic.

How a max CPC cap helped reclaim control

One key fix involved regaining control over rising CPCs by applying a max CPC cap through portfolio bidding strategies, even while using automated bidding. This approach reduced CPCs significantly without harming performance, demonstrating that advertisers can still guide AI-driven campaigns by applying the right constraints rather than relying on full automation alone.

Why banning AI is the wrong move

Maddie also highlighted a broader industry mistake: refusing to adopt AI altogether. She recalled working at an agency that banned AI tools and automation, which she believes limits growth and puts teams at a disadvantage. Instead of resisting AI, she argues that marketers should learn how to use it strategically while maintaining oversight.

Better prompts lead to better AI outputs

A key takeaway on AI usage is that results depend heavily on input quality. Maddie emphasized that vague prompts produce weak outputs, while detailed context—such as goals, audience and structure—leads to far more useful results. AI should be treated as a support tool that enhances human work, not replaces it.

Why curiosity still matters in PPC

Maddie stressed the importance of experimentation, encouraging teams to test ideas even when outcomes are uncertain. Her philosophy—“test and learn”—reflects the idea that even unsuccessful experiments provide valuable insights that can inform better decisions in the future.

Small mistakes are not career-ending

She also addressed everyday mistakes, such as sending the wrong report to a client, noting that while they may feel serious in the moment, they are usually easy to fix. The key is to take accountability, correct the issue quickly and keep perspective rather than overreacting.

The bigger lesson for paid media teams

Across all her examples, Maddie reinforced that success in PPC comes from adaptability, continuous learning and a willingness to challenge existing approaches. Whether dealing with account structure, automation or performance issues, the ability to evolve is what separates strong teams from the rest.

Final takeaway

Ultimately, Maddie’s experience shows that mistakes, when handled correctly, can lead to stronger strategies and better performance, and that staying curious, proactive and open to change is essential for long-term success in paid media.

Looking to take the next step in your search marketing career?

Below, you will find the latest SEO, PPC, and digital marketing jobs at brands and agencies. We also include positions from previous weeks that are still open.

Newest SEO Jobs

(Provided to Search Engine Land by SEOjobs.com)

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• Content Marketing Manager
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• Digital Marketing & Ecommerce Coordinator (SEO/GEO/Email/SEM)
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• Marketing Associate (SEO/GEO/SEM)
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• Digital Marketing Specialist (SEO/SEM)
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• Digital Marketing (SEO/SEM) and Communications Specialist
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• Digital Marketing Specialist (SEO/GEO/CRM)
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• SEO Strategist
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• VP, Search
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Newest PPC and paid media jobs

(Provided to Search Engine Land by PPCjobs.com)

• Manager, Retail Media Advertising
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• Sales And Marketing Specialist
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• Events & Lifecycle Marketing Specialist
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  Events & Lifecycle Marketing Specialist page is loaded## Events & Lifecycle Marketing Specialistremote type: Onsitelocations: 40 Enterprise Blvd. Suite 201 Bozeman, MTtime type: Full timeposted on: Publicado hoyjob requisition id: R0035561About Specialty Program GroupOur goal is to partner with industry-leading specialty businesses to provide them with the ability to achieve their goals and optimize their […]
• Performance Marketing Manager (North America)
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• Marketing Specialist, Corporate Marketing
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  Overview TTM Technologies, Inc. – Publicly Traded US Company, NASDAQ (TTMI) – Top-5 Global Printed Circuit Board Manufacturer About TTM : TTM Technologies, Inc. is a leading global manufacturer of technology products, including mission systems, RF components, RF microwave/microelectronic assemblies, and technologically advanced printed circuit boards (PCBs). TTM stands for time-to-market, representing how TTM's time-critical, […]

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Note: We update this post weekly. So make sure to bookmark this page and check back.

Google is pushing advertisers toward a more modern, scalable infrastructure for Shopping integrations—bringing new capabilities (including AI tools) directly into scripting workflows.

What’s happening. Google Ads scripts will begin supporting the Merchant API starting April 22nd, as Google prepares to retire the Content API for Shopping on August 18th. The new API will be available as an Advanced API in the scripts editor, while the existing Content API remains usable until its official sunset.

What’s new: The Merchant API introduces a modular architecture, breaking functionality into sub-APIs that allow for faster updates, easier maintenance, and fewer disruptions. It also expands capabilities with features like the Google Product Studio API for generative AI, dedicated APIs for managing product and store reviews, and a Notifications API for real-time updates.

In addition, advertisers gain more control over data management, including supplemental product data, local and regional inventory, and promotions—all within a system designed for omnichannel use while still supporting legacy setups.

Why we care. The Merchant API gives advertisers more a more flexible way to manage product data at scale, especially for complex or omnichannel setups. It also introduces new capabilities—like AI-driven content tools and improved data handling—that can enhance feed quality and performance. Just as importantly, with the Content API being retired, adopting the new system is essential to avoid disruption and stay competitive.

Yes, but. Migration will require some adjustment—especially for advertisers with custom scripts or complex feed setups tied to the legacy API.

Bottom line. For advertisers using scripts, this is an opportunity to upgrade to a more powerful and scalable integration, unlocking new features while future-proofing Shopping workflows before the cutoff.

Dig deeper. Merchant API is coming to Google Ads scripts starting April 22, 2026

Google is removing complexity from one of its most important measurement tools. By merging enhanced conversions for web and leads—and allowing multiple data inputs at once—advertisers get more accurate tracking with less setup friction.

What’s happening. Google Ads is consolidating its enhanced conversions features into a unified system with a single on/off toggle. At the same time, it’s eliminating the need to choose a single implementation method.

Advertisers will be able to send user-provided data through multiple channels simultaneously—including website tags, Data Manager, and API integrations. The current split between “enhanced conversions for web” and “enhanced conversions for leads” will disappear.

What’s changing and when: Google Ads is currently accepting user-provided data from website tags (e.g., Google tag, Google Tag Manager), Data Manager, and API connections. This multi-source approach is designed to improve conversion accuracy and bidding performance.

Starting June 2026, enhanced conversions become a single feature with a simple toggle, and method selection (tag vs API, etc.) is removed from the interface.

Why we care. This update makes conversion tracking more accurate and resilient at a time when signals are disappearing. By allowing multiple data sources at once, Google Ads can better match conversions, which can directly improve bidding efficiency and campaign performance. Just as importantly, it removes technical friction—so you get better data without having to choose or maintain a single integration method.

Impact on advertisers. Existing users require no action and will be automatically migrated if customer data terms have already been accepted. New users can enable enhanced conversions at either the account level or individual conversion action level. Opt-out remains available at the conversion action level.

How to enable it (quick take). At the account level, go to Goals → Settings, enable enhanced conversions under Customer data use, and accept data terms. At the conversion level, create or edit a conversion action, enable enhanced conversions during setup, and accept data terms.

Yes, but. To use enhanced conversions, advertisers must agree to Google’s Data Processing Terms and confirm compliance with its policies—an increasingly important step as platforms expand their use of first-party data.

Bottom line. Google is streamlining setup while quietly encouraging broader adoption of user-provided data. For advertisers, this means better performance with less manual setup. You get more complete conversion data feeding into bidding and optimization, without having to manage multiple tracking methods—helping you drive stronger results while simplifying your measurement strategy.