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Scammers have better growth teams than you do

Scammers have better growth teams than you do

Somewhere right now, a scam operation is running a sharper go-to-market motion than most fintechs. It has specialist teams, a software supplier with tiered pricing, a customer support channel and a constant stream of fresh marketing copy. It measures what converts, and kills what doesn’t.

This is what fraud looks like in 2026. Chainalysis estimates US$17 billion was stolen through crypto scams and fraud in 2025, and describes the operations behind it as “industrialised”. For a fintech, the most useful way to think about scammers is as a competitor: well funded, fast moving, and selling a counterfeit version of your product to your customers.

They’re organised like a scale-up

Modern scam networks split the work into specialist teams, the same way a growing company does. Chainalysis breaks down one phishing operation, known as Lighthouse, into five groups. Each one directly maps onto a function inside your own business.

Their team
What it does
Your equivalent
Developer group
Builds phishing software and fake website templates
Product and engineering
Data broker group
Supplies targeted lists of potential victims
Data science and consumer insights
Spammer group
Sends fraudulent messages at scale
Performance marketing
Theft group
Turns stolen details into money
Payments and revenue
Administrative group
Runs recruitment and collaboration forums
People and operations

The tooling is sold like software. Phishing kits we have profiled ourselves are available for under $500 USD, with pricing tiers for full development, proxy setup, and updates and support. Lighthouse itself took more than 7,000 payments over three years. Sellers even run customer service for their scammer clients through Telegram channels.

The result is a low barrier to entry. Someone with no technical skill can buy a ready made clone of your login page, a list of targets and a messaging tool, and launch a campaign within a day.

Their funnel runs through your brand

Lay a scam campaign next to your own customer journey and the stages line up almost exactly.

Stage
Your growth team
Their version
01
Acquisition
Paid social, SEO, referral programs
Deepfake ads, lookalike domains, fake support replies to public complaints
02
Activation
Onboarding flow, first deposit bonuses
Telegram group welcome, fake app install, a link to "verify your wallet"
03
Conversion
First trade or transfer
First deposit into a scammer's wallet
04
Expansion
Premium tiers, higher limits
Fake gains on a dashboard, pressure to top up, "withdrawal fees"
05
Reactivation
Win-back campaigns
Recovery scams aimed at people who have already lost money

Every stage borrows something you built: your name, your logo, your app design, even the tone of your support team. In effect, your brand is their landing page.

Their unit economics are hard to beat

Your customer acquisition cost includes years of brand building. Theirs rounds to zero, because they spend yours. Every dollar you invest in awareness also lifts the conversion rate of the people impersonating you.

Automation and AI then multiply the return. According to Chainalysis:

  • Scams linked to AI vendors extract an average of $3.2 Million USD per operation, 4.5 times the $719,000 USD taken by scams without those links.
  • AI-linked scams process about 9 times as many transactions per day, so each operation manages far more victims at once.
  • Scams using off the shelf phishing kits are 688 times more effective in dollar terms than regular scams.
  • Scams using bulk-bought social media accounts are 238 times more effective.

They also iterate faster than most product teams. A cloned site that gets removed reappears on a new domain the same afternoon. Creative that stops converting is swapped out, and AI makes new creative almost free. In our experience, when a fintech launches a new promotion, a new feature or a rebrand, copies follow within days.

How to compete: make their growth expensive

01
Raise their acquisition cost.
Find and remove fake ads, domains and accounts at the top of the funnel, early in each campaign. Every takedown forces them to rebuild infrastructure and buy fresh accounts.
02
Shorten campaign life.
A campaign has to run long enough to pay back its setup costs. Track the time from detection to takedown and keep pushing it down.
03
Cut their conversion rate.
Tell customers exactly how you will contact them and what you will never ask for. Put it in onboarding, in the app, and in every support reply.
04
Build monitoring into your launches.
Add brand monitoring to the checklist for every promotion, product release and campaign, since that is when bad actors appear.
05
Run competitive intelligence on them.
Track which channels, lures and lookalike patterns hit your brand, and share what you learn with your banking and platform partners. Under Australia’s Scams Prevention Framework , banks, telcos and digital platforms are becoming legally responsible for preventing, detecting and disrupting scams, so that intelligence has real value to them.

Takeaway

Scammers will keep investing in growth because it pays. The fintechs that hold up best treat impersonation as a market they compete in, and bring the same data, speed and discipline they apply to their own growth.

Fintechs are a special focus of ours at Unphish. Our job is to make cyber criminal’s growth stall so yours can keep going.

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Unphish is a threat detection and disruption platform built to identify and take down phishing, scams, and digital impersonation at scale. We combine intelligence-led detection with automated enforcement to help organisations protect their brand, customers, and digital ecosystem.

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