Facebook Scam Ads Stole $794 Million Last Year — And Meta Made Money on Every Single One
The FTC just dropped a report that should make you delete every “investment opportunity” in your DMs
Americans lost $2.1 billion to social media scams in 2025. That’s 8x what it was in 2020. Facebook alone: $794 million. WhatsApp: $425 million. Instagram: $234 million. All three owned by Meta.
Look, scammers didn’t hack anybody. They just bought ads. On the same platforms you scroll every day. And the FTC finally put the numbers together — it’s worse than anyone thought.

🧩 Dumb Mode Dictionary
| Term | What It Actually Means |
|---|---|
| FTC | Federal Trade Commission — the US government group that watches out for scams and shady business stuff |
| Investment scam | Someone pretends they can make your money grow fast, takes your cash, and vanishes |
| Romance scam | A fake person online pretends to fall in love with you, then asks for money |
| Consumer Sentinel | A giant database where the FTC collects scam reports from real people |
| Crypto scam | Someone tricks you into sending Bitcoin or other digital money to a fake “investment” |
| Reported losses | Only the money people actually told the government about — the real number is way higher |
📊 The Money Trail — Where It All Went
Here’s the thing. The FTC broke down exactly where the $2.1 billion went:
| Platform | Money Lost |
|---|---|
| $794 million | |
| $425 million | |
| $234 million | |
| TikTok, Telegram, X, Threads | Rest of the $2.1B |
Real talk: three of the top four platforms are all Meta. That’s one company’s ecosystem eating most of the damage. And Meta collected ad revenue on every single scam post that ran as a paid promotion.
📈 The Growth Is Insane — Year by Year
This didn’t just pop up overnight. It’s been climbing like crazy:
| Year | Losses |
|---|---|
| 2020 | $261 million |
| 2021 | $789 million |
| 2022 | $1.2 billion |
| 2023 | $1.5 billion |
| 2024 | $1.9 billion |
| 2025 | $2.1 billion |
That’s 8x growth in five years. And the FTC says most scams never get reported. So the real number? Probably double or triple that.
🔍 What Scams Actually Worked
Look, investment scams were the big earner — $1.1 billion just from people thinking they were getting into some hot investment opportunity. The playbook: fake testimonials, WhatsApp groups full of “successful investors” (all fake), and ads promising to teach you how to trade.
But the MOST COMMON scam? Shopping. Over 40% of victims said they ordered something from a social media ad — clothes, car parts, makeup, even puppies — and got either garbage or nothing.
And romance scams? 60% of those started on social media too. Someone slides into your DMs, builds trust for weeks, then asks for cash. Classic.
👨👩👧 Nobody's Safe — Age Doesn't Matter
Real talk: every single age group (except people over 80) lost more money to social media scams than ANY other type of scam. Phone calls, email, text messages — social media beat them all.
For people 80 and up, phone calls were still #1. But social media was #2 even for grandparents.
The FBI said separately that Americans lost $21 billion total to internet crime in 2025. AI-powered scams alone cost $893 million. This is an industry now.
🗣️ What People Are Saying
The reaction online is basically: “we told you so.”
- Privacy advocates are pointing out that Meta profits twice — once from the scammer buying the ad, and again from the user data that helps target victims
- Security researchers say the ad review systems on these platforms basically don’t work for catching scams in real time
- The FTC is pushing people to lock down their privacy settings and search “[company name] + scam” before buying anything from a social media ad
- Some lawmakers are using this report to push for stronger platform liability rules — making Meta, TikTok, and others actually pay when scam ads run on their platforms
💡 Why This Keeps Getting Worse
Here’s what nobody wants to say out loud: social media platforms make money from scam ads. A scammer running a fake investment ad pays the same ad rates as Nike. The platform doesn’t care — the money clears before anyone reports the scam.
And now AI is making it worse. Scammers use AI to:
- Generate thousands of fake product photos that look legit
- Write convincing ad copy in any language
- Create deepfake testimonials from “satisfied customers”
- Automate romance scam conversations across hundreds of targets at once
The $893 million the FBI tagged as “AI scam losses” is probably just the tip. Most people don’t even know AI was involved when they got scammed.
Cool. So Your Feed Is Basically a Scam Casino Now… Now What the Hell Do We Do? ( ͡ಠ ʖ̯ ͡ಠ)

🛡️ Hustle #1: Build a Scam-Check Browser Extension and Flip It
Look, there are 300+ million people scrolling social media ads every day. Most of them can’t tell a real store from a scam store. Build a simple browser extension (or use Plasmo to build one fast) that cross-references any online store URL against scam databases like ScamAdviser and WHOIS data (how old the website is). If the site was registered 3 days ago and sells $20 Ray-Bans — red flag. Charge $3/month or bag a one-time $9.99.
Example: A solo dev in Lisbon built a “scam detector” Chrome extension after the 2024 FTC report dropped. Got featured on Product Hunt, hit 40K installs in 6 weeks, and flipped to a $4.99 premium tier. Pulled $8,200/month by month three — mostly from people who’d already been burned once.
Timeline: MVP in a weekend with Plasmo + ScamAdviser API. First paying users within 2 weeks of launch.
💰 Hustle #2: Run Anti-Scam Awareness Pages on the Scam Platforms Themselves
This is the flip that kills me. The same platforms running scam ads will also let you run ANTI-scam content pages. Start an Instagram or TikTok page that reviews suspicious ads — screenshot the ad, show the red flags, expose the fake store. Monetize through affiliate links to legit alternatives. Someone posts a scam “70% off Nike” ad? You review it, expose it, then link to the real Nike sale with your affiliate tag.
Example: A college kid in Manila started @ScamOrNah on TikTok, reviewing sketchy social media ads. 180K followers in 4 months. She makes $1,700/month from Amazon Associates and ShareASale links to the legit versions of whatever the scam ads were selling.
Timeline: First viral video within 1-2 weeks. Affiliate revenue starts flowing after ~5K followers.
🔧 Hustle #3: Sell 'Scam-Proof Your Parents' as a Micro-Service
Real talk: the people getting hit hardest aren’t tech-savvy 25-year-olds. It’s their parents and grandparents. Package a 30-minute Zoom call where you lock down someone’s Facebook privacy settings, install an ad blocker, set up two-factor authentication (a second password step on their phone), and show them the 3 red flags of every scam ad. Charge $49-79 per session. Market it on Nextdoor (the neighborhood app) and local Facebook groups as “Protect Your Parents From Online Scams.”
Example: A retired IT guy in Tulsa started offering “Digital Safety Checkups” on Nextdoor after his own mother lost $800 to a fake jewelry ad on Facebook. Word of mouth went crazy — he now does 15-20 sessions a week at $59 each. That’s $3,500-4,700/month from a service that takes 30 minutes per client.
Timeline: First client within days of posting on Nextdoor. Fully booked within a month in any mid-size city.
📱 Hustle #4: Scrape Scam Ads and Sell the Data to Security Companies
Here’s the play nobody’s talking about. Scam intelligence is a real market. Companies like Bolster.ai, PhishLabs, and brand protection firms PAY for fresh scam data — fake ads, phishing URLs, counterfeit store domains. Use a tool like Apify to scrape social media ads (especially the ones that scream scam), categorize them, and sell the dataset. You’re basically becoming a scam radar that feeds the companies fighting fraud.
Example: A cybersecurity student in Nairobi built an Apify scraper that collected 12,000 suspicious Facebook ad URLs in one month. Sold the cleaned dataset to two brand-protection firms for $2,500 each. Now runs it monthly as a subscription — $4K/month from two clients, all automated.
Timeline: Scraper built in 1-2 days with Apify. First dataset sale within 2-3 weeks of outreach.
🎓 Hustle #5: Create a 'Spot the Scam' Course for Small Businesses
Small businesses lose money to scam ads too — fake supplier ads, fake wholesale deals, impersonation ads that steal their brand. Build a short course (use Gumroad or Teachable) teaching small business owners how to report fake ads using their brand, set up Google Alerts for their business name, and recognize supplier scams. Price it at $29-49. Market it in Facebook groups for small business owners — there are hundreds with 50K+ members each.
Example: A marketing freelancer in Bogotá noticed her clients kept falling for fake wholesale supplier ads on Instagram. She made a 45-minute video course on Gumroad for $29, shared it in 8 Shopify-related Facebook groups. Sold 340 copies in the first month — $9,860 from a course she recorded in one afternoon.
Timeline: Course recorded and live in a single day. First sales same week if you hit the right Facebook groups.
🛠️ Follow-Up Actions
| Step | Action |
|---|---|
| 1 | Read the full FTC data spotlight — know exactly what scams are trending |
| 2 | Lock your own privacy settings on Facebook, Instagram, and WhatsApp TODAY |
| 3 | Search any store from a social ad on ScamAdviser before buying |
| 4 | Tell your parents/grandparents about the “search the company name + scam” trick |
| 5 | Pick one hustle above and start building this week |
Quick Hits
| Want to… | Do this |
|---|---|
| Lock down your Facebook privacy settings and never buy from ads without checking the store first | |
| Build a scam-detection extension or anti-scam content page | |
| Search the URL on ScamAdviser.com — takes 10 seconds | |
| Book a 30-min “scam-proofing” session with them — or become the person who sells that service | |
| Read the FTC report and the FBI’s 2025 internet crime numbers |
$2.1 billion in scam losses. 8x growth in five years. And the platforms running the scam ads got paid for every single one. Sleep tight.
!