Stop Scam Ads: What Singapore SMEs Must Do Now

A single line in the Reuters reporting quoted by CNA should make any marketer sit up: internal documents suggested Meta expected about 10% of 2024 revenue (around US$16 billion) from ads tied to scams and other illicit products. Even if that figure is disputed, the direction of travel is clear—regulators are done treating scam ads as “just user-generated risk.”

That’s why the new bipartisan US proposal—the Safeguarding Consumers from Advertising Misconduct Act (SCAM Act)—matters beyond America. If you run campaigns for a Singapore SME (or you’re the founder wearing the marketing hat), you’re operating inside the same ad supply chain. The platforms you buy from will tighten verification, speed up enforcement, and demand more proof that you’re a real business with legitimate intent.

This post is part of our Singapore SME Digital Marketing series, and I’ll take a firm stance: trust is now a performance channel. If your ads and funnels look even slightly scam-like, your costs go up, approvals slow down, and good customers hesitate.

Landing page source: https://www.channelnewsasia.com/business/exclusive-us-senators-unveil-bill-prevent-scam-ads-social-media-platforms-5906941

What the US SCAM Act changes (and why it won’t stay in the US)

The practical headline: the proposed SCAM Act would require social media platforms to take “reasonable steps” to prevent fraudulent advertising, or face action by the Federal Trade Commission (FTC) and state attorneys general.

From the CNA report, the bill includes requirements that platforms:

• Verify advertisers using government-issued ID, or validate the legal existence of a business.
• Review and act promptly on scam reports from users or government entities.
• Face enforcement where non-compliance is treated as unfair or deceptive business practice.

Even if you never target US users, this matters for Singapore businesses for one simple reason: global platforms don’t like running different safety systems per country. When the regulatory pressure rises, platforms typically respond with product changes that roll out broadly—more advertiser verification, stricter ad reviews, more automated enforcement, and less tolerance for borderline tactics.

The hidden shift: “platform accountability” becomes “advertiser friction”

When governments push platforms to be accountable, platforms often push that burden down the chain. That means:

• More KYC-style checks for your ad account
• More documentation requests (business registration, proof of domain ownership, proof of identity)
• More restrictions on industries that scammers exploit (finance, jobs, travel, crypto, health)

For SMEs, friction feels annoying. But it also has an upside: lower scam density improves campaign performance over time because users trust what they see.

Scam ads aren’t only a consumer problem—they’re a marketing performance problem

Here’s what most companies get wrong: they treat scam prevention as something the platform should handle. In reality, scam ads affect you directly in at least four measurable ways.

1) Higher CPMs and worse conversion rates

Scam ads drive short-term spend and inflate auction competition. If the platform then cracks down, the auction reshapes quickly. Your costs can swing because:

• Entire categories get restricted
• Lookalike audiences get constrained
• Landing pages get scrutinised

2) Approval delays that break campaign timing

Singapore SMEs often run time-bound campaigns—Chinese New Year promos, Ramadan/Hari Raya bundles, 6.6/9.9/11.11 marketplace spikes, and year-end clearance. If your ad account gets flagged during a verification wave, you can miss the window.

3) Brand trust damage by association

Consumers don’t separate “the platform showed me a scam” from “ads are scammy.” If your creatives look like the patterns scammers use—urgency, unbelievable returns, fake endorsements, mystery “DM for price”—you’ll pay a trust tax.

4) More false positives from automated enforcement

As platforms tighten controls, enforcement relies heavily on machine learning. That means legitimate SMEs can get swept up if your campaigns resemble scam features.

One-liner you can share internally: When platforms get stricter, marketing becomes a compliance workflow.

What Singapore SMEs should expect next: verification, transparency, and faster takedowns

The CNA article highlights a critical point: the bill explicitly claims some platforms relaxed verification to avoid losing ad revenue. Whether or not you agree with that framing, regulators are now focusing on a few consistent levers.

Advertiser verification becomes table stakes

Prepare for “prove you’re real” checks to become more common:

• ACRA business documentation (or equivalent)
• Identity verification for account admins
• Domain verification and stronger ties between page, ad account, and website

Action: If your marketing is still running off a personal ad account or a loosely managed Business Manager setup, fix that now. Centralise ownership, document admin roles, and remove ex-staff access.

Ad transparency and traceability get stronger

Expect more visible “paid for by” labels, advertiser histories, and easier user reporting. This affects creative strategy: vague claims and unclear branding won’t just convert worse—they may get flagged.

Action: Put your business name, product name, and support channel clearly on:

• Your landing page header/footer
• Your checkout and confirmation pages
• Your refund/returns policy page

Faster takedowns mean shorter “learning periods”

If the platform removes a campaign quickly, you lose the optimisation runway. Your account health and creative hygiene become more important than clever hacks.

Action: Build a campaign pipeline so you’re not dependent on one hero ad. A practical baseline is:

• 3–5 creative variants per offer
• 2 landing page variants
• 2 audience approaches (broad + retargeting)

Responsible AI in digital marketing: how to use automation without looking like a scam

This campaign is about AI business tools in Singapore, so let’s connect the dots properly: AI can either reduce scam risk or accidentally mimic scam patterns at scale. The difference is process.

Use AI to detect risk signals before the platform does

A simple, high-impact workflow I’ve found works for SMEs: run every new campaign through a “scam-likeness” checklist powered by AI.

You can use an internal GPT-style tool (or a secure enterprise assistant) to flag:

• Overpromises ("guaranteed results", "risk-free", "instant approval")
• Impersonation risk (celebrity names, bank logos, government phrasing)
• Missing disclosures (fees, limitations, terms)
• Pressure tactics (countdowns, “only 3 slots left” when untrue)

Practical prompt idea: “Review this ad copy and landing page text for scam-like patterns and compliance risks. Suggest safer alternatives that keep conversion intent.”

Use AI to strengthen identity and trust, not just targeting

In the SCAM Act story, the core fix is verification. Marketers can mirror that by making identity obvious.

AI can help generate and maintain:

• Consistent brand voice across ads, landing pages, and WhatsApp scripts
• Clear FAQs and policy pages written in plain English (and Mandarin/Malay/Tamil where relevant)
• Customer support macros that reduce misunderstandings (a common trigger for complaints)

Use AI for fraud detection in engagement channels (especially WhatsApp)

CNA’s report mentions Meta’s platforms including WhatsApp. For many Singapore SMEs, WhatsApp is the real conversion engine.

Scam patterns show up in chat too:

• Unusual spikes in new inbound messages
• Repeated copy-paste scripts
• Requests for off-platform payment methods
• Fake “agent” impersonation of your staff

Action: Set rules and monitoring for:

• Approved payment links and QR codes
• Staff-only templates for promotions
• A verification line customers can check (“We will never ask for OTP/password”)

Even lightweight AI-based classification on inbound messages (tagging “pricing”, “refund”, “suspicious”) improves response speed and reduces the chance a scammer hijacks your flow.

A practical anti-scam ad playbook for Singapore SMEs (do this in 30 days)

If you want a concrete plan that aligns with where regulation is heading, here’s a 30-day sprint you can run without hiring a full compliance team.

Week 1: Tighten your advertiser footprint

• Ensure Business Manager ownership is correct
• Turn on 2FA for all admins
• Verify your domain and align it with your brand pages
• Create an internal register: who has access to ad accounts and why

Week 2: Make your funnel “obviously legitimate”

• Add clear business identifiers (UEN, address if applicable, support email)
• Publish refund/returns and shipping policies prominently
• Add a “How to spot impersonation” note on checkout and WhatsApp auto-replies

Week 3: Put AI guardrails around creative and copy

• Create a banned-phrases list (specific to your category)
• Use AI to rewrite high-risk copy into compliant alternatives
• Build 3 creative templates that avoid scam aesthetics (no fake badges, no “breaking news” layouts)

Week 4: Build reporting and response muscle

• Set up a process to handle user complaints within 24 hours
• Track ad rejections, reasons, and repeat patterns
• Save “clean” backup creatives so you can relaunch fast after a takedown

Metric that matters: Time-to-resolution for ad issues. If you can get from rejection → fix → resubmission within a day, you’ll outperform competitors during platform crackdowns.

What this means for the “Singapore SME Digital Marketing” playbook in 2026

The old SME growth playbook was: test fast, scale what works, worry about governance later. The new reality is stricter: verification and transparency are part of performance marketing now.

And honestly, I’m fine with that. Scam ads don’t just harm victims—they drag down the entire paid ecosystem. If regulation forces platforms to clean up, legitimate businesses get a better environment to compete.

If you’re running social media marketing in Singapore, treat the US SCAM Act story as an early warning. The best time to build trust signals, compliance-friendly creative, and AI-supported review workflows is before your next campaign gets caught in a verification wave.

Where do you think your marketing is most vulnerable right now—your ad account setup, your landing page credibility, or what happens after the click in WhatsApp?