Claude is brilliant.Your ad platform data is lying to it.
This is not a page about why you shouldn't use AI for marketing decisions. We use Claude too. It's about what happens when a world-class model reasons over self-graded platform data, and what changes when it reads verified truth instead.
Four things no LLM can fix by being smarter
The seller writes the report card
Meta grades Meta, Google grades Google. Same conflict, different dashboard.
Borrowed credit
Platforms claiming sales your email and SMS actually closed.
New or repeat?
Platform data counts a first-time buyer and a seventh rebill as the same purchase event. The AI optimizes blended revenue and quietly scales retargeting.
No conversion-lag context
Platform data grades campaigns on day one. If your customers take 7, 30, or 90 days to convert, or your profit lands on rebill six, the AI is reasoning about a story that hasn't finished happening.
{ The Comparison }
Claude with Wicked vs Claude alone
Claude with Wicked
Claude on platform data
Data source
Verified order and CRM record, click-level
Self-graded platform exports
How the number is produced
Reconciled to your billing system, ~97%
Taken from the export as given
New vs repeat
New Customer Truth on every answer, real nCAC
Blended purchase events by default
Prediction
Predicted Future from verified conversion-lag curves
Extrapolated from incomplete history
Wrong-answer risk
Deterministic before generative, guardrailed
Fluent gap-filling
Retraining the platforms
Advanced Signal feeds Meta verified new-customer events (purchase_NC)
Recommendations you apply by hand
Accountability
3x in verified decisions in 90 days, or free
None
{ The Fix }
Keep Claude. Change what it reads.
Wicked Reports connects to Claude through MCP. Every number is traced to a real order and a customer record, with twelve years of attribution expertise encoded in the guardrails.
Here's what that looks like in practice. An agency owner we work with starts his morning by asking Claude how his client accounts are performing. The answers come back from his verified Wicked data: real nCAC, real new-versus-repeat, real conversion-lag context. Same Claude. Completely different answers.
Claude reading verified Wicked data and flagging a day that hasn’t finished syncing instead of reporting it as a real zero.
Ask anything. Get the truth. Inside Wicked through Ask Wicked, or inside Claude and ChatGPT where your team already works.
{ Proof }
From the accounts, not from us
The Truth About Social Ads
Jason runs his client accounts on Wicked and asks Claude about performance every morning through the Wicked MCP. He told us exactly what changed, on the record.
Watch the honest review
The Advanced Signal test
ROAS +30–40%
Up 30 to 40% in his accounts, by making Meta hunt new customers instead of recycling existing ones.
nCAC $116 → $69
nCAC $116 to $69 in 30 days, down 40%. The agency's new creatives plus Advanced Signal plus 5 Forces AI.
Tracked attributed revenue
$5B+
$5B+ in attributed revenue tracked across Meta, Google, and email.