1. The documented fact
Bitdefender's 2026 Global Scam Intelligence Report — built from telemetry spanning trillions of URLs, billions of messages, live ad ecosystems, call honeypots, and direct consumer submissions — states plainly: "fraud now moves across web, SMS, social media, messaging apps, email and voice calls, often as coordinated campaigns." Scams aren't single-channel anymore. They're built to be omnichannel from the start.
Half of UK mobile users (50%) reported receiving a suspicious message in a recent four-month period, and fraud accounted for an estimated 45% of all reported crime in England and Wales in 2025, with £1.28 billion lost to criminals. In the US, the FTC received over 2.6 million Do Not Call complaints in fiscal year 2025 alone.
Sources: Ofcom research, FTC Do Not Call Registry Data Book FY2025. 🟡 relayed via official summaries and national press. Accessed 20/07/2026.
2. The probability — or rather, the conviction
This demonstration doesn't calculate a probability of coincidence, like the others in this pillar: it explains why a scenario repeated across multiple channels becomes psychologically more convincing, even when the source is a single scammer.
Our calculation — apparent corroboration
The principle: we naturally judge information as more reliable when several sources confirm it — a useful shortcut in everyday life. Three friends recommending the same restaurant are more convincing than one.
What the scammer exploits: a call, then a text, then a messaging-app message, presented as coming from different actors (the "advisor," then the "fraud department," then a "confirmation") — when it's the same scammer orchestrating all three. The brain applies the corroboration shortcut to channels that are, in reality, one source repeated.
What that changes: each additional channel doesn't add an independent proof — it adds the appearance of one. That's exactly why single-channel tools are structurally blind to this scenario.
Limits: this reasoning is psychological and structural, not a numerical probability calculation — we don't claim to measure a precise conversion rate for the multi-channel funnel, since no public data allows that calculation.
3. The mechanism
The multi-channel funnel is Level 3 of the Targeting Scale — the bespoke scam — lived from the victim's side: a single, coherent scenario that continues from one channel to the next. It runs on Credible Coincidence (each message seems to confirm the last), Borrowed Authority (several apparently distinct "departments" that corroborate each other), and Isolation (the apparent consistency of the scenario discourages seeking outside advice).
4. The defense
🧩Count the channels, don't trust them
Three messages telling the same story aren't three proofs — ask yourself whether these channels could all be run by the same person.
☎️Verify outside the sequence
Verification should always go through a channel the scammer doesn't control — a number you dial yourself, never a callback or message received within the same sequence.
🛡️See what isolated tools can't
That's the role of a protection that analyzes calls and messaging apps on the same device — not three separate tools each blind to what the other two saw.
The takeaway
Scammers don't need to know you. The statistics already do.
Frequently asked questions
Why is a scam repeated across several channels more convincing than one?
Each additional channel feels like an independent confirmation, when it's really the same scammer orchestrating one story — the same bias that makes repeated information feel more credible than a single source.
Is the omnichannel scam pattern documented globally?
Yes. Bitdefender's 2026 Global Scam Intelligence Report states that fraud now moves across web, SMS, social media, messaging apps, email, and voice calls, often as coordinated campaigns.
Why do single-channel tools miss this pattern?
They only watch one channel at a time — none of them connect a call, a text, and a messaging-app conversation to recognize the same scenario continuing across channels.
Rigor note. The Bitdefender omnichannel thesis and the $450 billion figure are confirmed by direct citation from Bitdefender's own official blog post. The Ofcom (UK) and FTC (US) figures are corroborated across official summaries and national press but their primary pages were not re-fetched by direct access in this pass — marked 🟡 accordingly, per our methodology. This page adapts — not translates — the French original (Le tunnel multi-canal), which used the same Bitdefender report — the source here is intentionally the same global report, since Bitdefender's own data is already multi-market by design, supplemented here with UK- and US-specific regulator figures. You can see a pedagogical staging of this exact scenario — call, then WhatsApp — on our page One scam. Three channels., which shows how Egidio connects all three on the same device.
One scam. Three channels.
See the full multi-channel scenario staged, and how Egidio connects calls and messaging apps on one device to unmask it.
Learn more
Egidio — The Threat Laboratory, "The multi-channel funnel: why three messages convince more than one", egidio.app/en/laboratoire/mathematics-of-manipulation/the-multichannel-funnel/. Licensed CC BY 4.0.
Free to reuse, including commercially, with attribution. Reuse terms.