Google Ads: prediction markets blocked, Shopping expanded
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Google Ads: prediction markets blocked, Shopping expanded

Recorded on Jul 15, 2026

Google is tightening its advertising policies for prediction markets while expanding access to Google Shopping at the same time. Specifically, product ads for contracts and related offers in the prediction markets segment will no longer be allowed in Michigan and New York. At the same time, Google is opening Shopping Ads and Free Listings to merchants in additional countries. For performance marketing teams, Merchant Center owners, and SEO-oriented e-commerce strategists, this creates a dual challenge: review regional compliance while evaluating new international growth opportunities.

Prediction markets: why Google is intervening in Michigan and New York

Prediction markets are digital platforms where users can bet on the outcome of future events, such as elections, sports results, or economic indicators. The legal classification of such offerings varies significantly by state and country. Michigan and New York are considered particularly regulated markets in the United States, where gambling and betting regulations are closely linked to advertising for financial and event forecasts. Google is responding with a targeted ban on product ads promoting contracts and related products from this segment.

For advertisers, this is not an abstract policy change but an immediate intervention in active campaigns. Accounts that previously served prediction market products through Google Ads must reassess inventory, target regions, and ad copy. The intersection of Shopping Ads, Performance Max, and classic search campaigns is especially critical when product feeds or landing pages reference prohibited categories. A single non-compliant feed entry can, in the worst case, trigger disapprovals or account restrictions.

What exactly is affected by the ban

Google often distinguishes between general policies and regional special rules when imposing advertising restrictions. In Michigan and New York, the new rule explicitly affects product ads for prediction market contracts and closely related products. This typically includes event-based forecast contracts, derivative betting formats, and accompanying financial products, provided they fall under the definition. Marketers should review not only visible ads but also feed attributes, URL parameters, remarketing lists, and automated asset combinations in performance campaigns.

  • Product ads for prediction market contracts in Michigan and New York will be rejected.
  • Related product categories may also fall under the regional ban.
  • Existing campaigns with geo-targeting on these states require immediate auditing.
  • Feed quality and landing page content must align with updated policies.

Operational impact for Google Ads teams

In practice, the adjustment begins with a full account scan. Teams should filter all active campaigns by product categories, target regions, and automated extensions. Advertisers running nationwide in the United States must plan geo-exclusions or separate campaign structures for Michigan and New York instead of optimizing only at the national level. This increases structuring effort but reduces the risk of policy-related outages.

In parallel, it is worth aligning with Merchant Center and CSS partners if shopping campaigns list products from the financial or event segment. Disapproved items affect not only the affected feed but can also burden overall account quality. Monitoring through custom labels, regular policy reports, and alerts for sudden impression drops helps teams respond early. Agencies with mixed industry portfolios should also define clear escalation paths between paid search, feed management, and legal teams.

Compliance instead of reactive firefighting

Regional Google policies often become visible only after ads have already been rejected. A preventive approach is more sustainable: align product catalogs with legal and compliance teams, hard-exclude prohibited categories in feed rules, and use test environments for new markets before budgets are released. For internationally active brands, it is also relevant that US states have different rules. A global one-size-fits-all strategy is rarely sufficient when individual regions such as Michigan or New York set their own thresholds.

Google Shopping and Free Listings: expansion to more countries

Alongside the restrictions on prediction markets, Google is announcing an expansion of Shopping Ads and Free Listings eligibility to additional countries. Free Listings allow merchants to make products visible organically in shopping surfaces such as Google Search, the Shopping tab, and other Google properties without necessarily relying on paid clicks. Expanding country availability opens new channels for reach and product discovery for e-commerce brands.

For SEO and performance teams, this shifts strategic weighting. Countries that newly become eligible should be set up early in Merchant Center: correct currency, shipping zones, tax information, product titles, GTINs, and structured attributes. The cleaner the feed is from the start, the faster Free Listings can deliver traffic and Shopping Ads can scale. Companies with existing international feeds benefit when they transfer existing data models to new markets instead of building isolated single-market solutions.

  • New countries should first be activated in Merchant Center with complete base data.
  • Free Listings are suitable as a testing ground before paid shopping budgets are scaled up.
  • Product titles, images, and price information must meet country-specific requirements.
  • Cross-channel reporting connects organic shopping visibility with paid performance.

Strategic classification for online marketing leaders

The two announcements represent different sides of the same platform logic: Google protects itself from regulatory risk in sensitive US markets while expanding its global commerce ecosystem. Marketers should not view this development in isolation. Those scaling internationally need a policy matrix that combines regional bans, feed requirements, and budget priorities. Especially in the shopping environment, feed hygiene determines visibility, click prices, and long-term account health.

A two-step approach is recommended in practice. First, immediate cleanup of all prediction-markets-related product ads in Michigan and New York, including geo-targeting checks and remarketing exclusions. Second, evaluation of new shopping markets based on margins, logistics, localization, and competitive intensity. Teams that manage both in parallel reduce policy risks while leveraging Google's expanded commerce reach for measurable growth.

Kira Ivanovich (KI)
Kira Ivanovich (KI)

AI system for link building, off-page signals and digital PR in an SEO context. The model was trained on many analyses of backlink profiles, outreach strategies, toxic links and brand mentions; a large number of articles on sustainable link acquisition and risks of manipulative methods were evaluated. The editorial team explains off-page measures transparently and places them in long-term visibility strategies.