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15/12/2025

Meta’s China Ad Engine and the Cost of Looking Away




Meta’s China Ad Engine and the Cost of Looking Away
Meta’s tolerance of large-scale advertising abuse linked to Chinese advertisers is not an accident of enforcement failure but the outcome of a calculated commercial trade-off. Inside the company, executives have long understood that China occupies a unique and lucrative position in Meta’s global advertising ecosystem: a market that cannot use its social platforms domestically, yet supplies an immense flow of advertising revenue aimed at foreign audiences. That structural asymmetry has allowed misconduct to flourish in ways Meta would not accept elsewhere, because the revenue at stake is simply too large to disrupt without meaningful financial pain.
 
By 2024, advertising tied to China had grown into an annual business exceeding $18 billion, accounting for more than a tenth of Meta’s global revenue. Internal assessments showed that a substantial portion of this money originated from ads promoting scams, illegal gambling, counterfeit products, and other banned activity. Rather than treat this as an existential threat to platform integrity, Meta increasingly framed it as a containment problem: not how to eliminate the abuse, but how to keep it from growing faster than the rest of the business. The result was a strategy that implicitly accepted fraud as a cost of doing business, particularly when the victims were outside China and the advertisers were deeply embedded in opaque agency networks.
 
Revenue gravity and selective enforcement
 
The brief crackdown Meta mounted in 2024 revealed how much enforcement could achieve when it was allowed to operate without commercial constraints. A dedicated team targeting Chinese-linked fraud sharply reduced the share of abusive ads tied to China within months, demonstrating that the company’s technical and human review systems were capable of significantly curbing harm. But that same success made the underlying dilemma unavoidable: sustained enforcement would also mean sustained revenue loss.
 
Once the initial reductions became visible on internal dashboards, concerns shifted away from user harm and toward business impact. Advertising from China is unusually sensitive to enforcement because much of it comes from small and mid-sized firms operating at high volume and low margins. Aggressive policing does not merely remove bad actors; it disrupts entire agency ecosystems that Meta relies on to sell ads at scale. In that context, leadership intervention reframed integrity work as a short-term experiment rather than a permanent correction.
 
The decision to pause the crackdown and dismantle the China-focused enforcement team signaled a broader recalibration. Instead of pursuing parity between Chinese ads and global standards, Meta opted to preserve the existing balance, allowing higher levels of abuse so long as they did not increase Meta’s overall share of harmful advertising worldwide. This was not a failure to recognize the problem, but a conscious choice to prioritize revenue continuity over deeper reform.
 
Agency architecture built for opacity
 
Meta’s advertising model in China relies on a multilayered reseller system that would be unacceptable in most other major markets. A small number of top-tier agencies act as gatekeepers, selling ads directly while also recruiting secondary agencies that operate even further from Meta’s oversight. These intermediaries, rather than the end advertisers, control the accounts that place ads on Facebook and Instagram, creating distance between Meta and the ultimate source of misconduct.
 
This architecture is not incidental. It allows Meta to scale advertising in a country where businesses cannot easily access its platforms directly, while shifting much of the operational risk onto partners. The system also generates strong incentives to tolerate abuse. Top-tier agencies receive commissions, preferential treatment, and enforcement protections that keep ads running even after automated systems flag violations. Secondary agencies, in turn, exploit these protections, cycling through advertisers and accounts with minimal fear of lasting consequences.
 
Internal analyses acknowledged that this structure made meaningful policing nearly impossible. Identity verification was weak, account sharing was common, and advertisers could quickly reappear under new guises after enforcement actions. Rather than dismantle the system, Meta chose to manage it by adjusting incentives, docking commissions or imposing financial penalties on agencies with high violation rates. These measures treated fraud as a pricing problem rather than a structural flaw, reinforcing the idea that abuse could be moderated but not eliminated.
 
China’s regulatory vacuum and global spillover
 
Meta’s tolerance of Chinese-linked ad fraud is also shaped by the geopolitical reality that the Chinese state has little incentive to intervene when harm is exported abroad. Because fraudulent ads target users in North America, Europe, and other overseas markets, they fall outside the priorities of domestic regulators. This regulatory vacuum lowers the risks faced by advertisers and agencies, making Meta’s platforms an attractive channel for cross-border scams.
 
The consequences ripple far beyond Meta’s balance sheet. Financial fraud schemes, counterfeit product sales, and deceptive investment ads routinely exploit Meta’s reach to draw victims into off-platform messaging services, where losses can escalate quickly. Law enforcement actions have periodically exposed the scale of the damage, but these interventions address symptoms rather than causes. From Meta’s perspective, cooperation with authorities and post-hoc removals offer reputational cover without requiring systemic change.
 
Comparisons with other major platforms underscore that Meta’s approach is a choice, not an inevitability. Competitors operating in China have adopted stricter identity checks and more aggressive enforcement, sacrificing some advertising volume in exchange for tighter control. Meta, by contrast, has leaned into flexibility, accepting higher levels of abuse as the price of maintaining growth in one of its most profitable markets.
 
Institutionalizing “acceptable” harm
 
Perhaps the most revealing shift inside Meta has been the normalization of elevated misconduct as a permanent feature of its China business. Internal discussions increasingly framed the market as inherently adversarial, shaped by cultural and commercial norms that prioritize rapid profit over compliance. Rather than challenge that premise, Meta adapted to it, redefining success as the ability to keep fraud from exceeding a predefined threshold.
 
This mindset transformed enforcement from a mission-driven function into a risk-management exercise. Dashboards tracked not whether scams were disappearing, but whether their proportion remained stable. When violations surged, responses focused on selectively removing the worst offenders while preserving the bulk of revenue-generating accounts. Even then, enforcement proposals were vetted for their potential impact on sales, with actions delayed or narrowed if the financial cost appeared too high.
 
Over time, this logic reinforced itself. Agencies learned that penalties were survivable, accounts could be replaced, and enforcement windows were predictable. Meta, in turn, accepted that revenue lost to temporary crackdowns would likely return through new channels. The company’s own analyses concluded that shutting down abusive accounts rarely produced lasting behavioral change, further justifying a strategy of containment over eradication.
 
The result is a system in which sophisticated advertisers and intermediaries operate with confidence that the platform’s economic incentives ultimately align with their continued presence. Meta’s public statements emphasize technological investment and global anti-scam efforts, but its internal decisions reveal a more constrained ambition: to balance harm against revenue in a way that preserves growth. In the China advertising market, that balance has tipped decisively toward tolerance, embedding fraud into the business model rather than treating it as a threat to be eliminated.
 
(Source:www.reuters.com)

Christopher J. Mitchell

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