Invite-only Networking Party • 27 July • New York • Limited seats • Request your invite on Luma • Meet us at ASE Table #2600 • View Details     Invite-only Networking Party • 27 July • New York • Limited seats • Request your invite on Luma • Meet us at ASE Booth #2600 • View Details    
Co-Pilot Fab AI

Reporting tells you what happened. Co-Pilot tells you what to do next.

Most AI tools give you advice based on general knowledge. Co-Pilot gives you advice based on your actual campaign data: your spend, your ROAS, your CPA, your CTR across Meta, TikTok, and NewsBreak. It surfaces proactive recommendations on your dashboard, generates charts on demand, and answers specific questions about what's happening in your accounts right now.

Part of Fab AI

The problem it solves

What generic AI can't tell you

Context is the product

Generic AI doesn't know your account

"Improve your CTR" is not advice. Useful strategy requires knowing your actual CTR, your actual spend, your actual conversion rate, and what those numbers mean for your specific situation.

You see the data but not the next move

The dashboard shows you ROAS dropped 30%. It doesn't tell you whether that's a creative problem, an audience problem, a bid problem, or seasonal. Diagnosis takes time you don't always have.

Reporting answers the wrong question

Standard reporting tells you what happened. You need to know what to do about it. Co-Pilot bridges that gap: from data to recommendation, backed by real numbers.

How it works

Two ways Co-Pilot surfaces intelligence

01

Proactive recommendations on your dashboard

Co-Pilot analyses your live campaign data continuously. The recommendations panel on your dashboard surfaces specific actions, with the reasoning and account numbers behind each one. Always visible, always current.

02

Ask it anything about your campaigns

Open the Co-Pilot chat and ask in plain language. "Show me a chart of my top 10 Facebook campaigns by spend this week." It pulls from your live data and responds with charts, tables, or analysis.

03

Act on what it surfaces

Co-Pilot recommendations connect to action. A budget reallocation recommendation links to your campaigns. A creative suggestion connects to Creative Generations. Intelligence that leads somewhere, not just insight that sits there.

Recommendations

How Co-Pilot recommendations work

Co-Pilot analyses your live account data continuously and surfaces specific recommendations with clear reasoning. Here is how each recommendation is structured, with examples of the types it generates:

Recommendation

Reallocate budget to higher-converting campaigns

Why, from your account data

Co-Pilot identifies which campaigns are producing conversions at your target CPA and which are draining budget. It calculates the spread between your highest-CR and lowest-CR ad sets and flags where shifting spend would lower your blended CPA.

Recommendation

Improve creative and headlines to reduce CPC and CPM and increase CTR

Why, from your account data

Co-Pilot monitors aggregate CTR, CPC, and CPM across your account. When these metrics drift from your account benchmarks, it flags the gap and links the issue to specific creative sets or placements where the drop is concentrated.

Recommendation

Optimise post-click experience to raise conversion rate

Why, from your account data

Co-Pilot tracks your click-to-conversion rate across campaigns. When CVR sits below your account average, it surfaces the gap and points to where post-click friction (landing page, load time, CTA) is likely the cause rather than the ad itself.

Recommendation

Test lower-cost placements and refine audiences to reduce CPM

Why, from your account data

Co-Pilot identifies when CPM is elevated relative to your historical account baseline. It surfaces which placements or audience configurations are generating costly impressions with low conversion contribution, and flags them for targeting refinement.

The recommendation types above reflect the categories Co-Pilot analyses: budget allocation, creative performance, conversion rate, and audience efficiency. The specific recommendations, reasoning, and suggested actions are generated fresh from your live account data every time. No two accounts see the same output.

Conversational reporting

Ask anything. Get charts, tables, and analysis.

On-demand charts and visualisations

"Generate a bar chart of my top 10 Facebook campaigns by total spend for the last 7 days."

Ask for a bar chart, line chart, or table for any metric across any time period. Returns a formatted chart, no building in Sheets required.

Budget recommendations by platform

"Provide budget recommendations for yesterday's NewsBreak campaigns based on spend, impressions, CPM, and CTR."

Ask for budget recommendations across any platform for any time window. Returns specific campaign-level recommendations with reasoning.

Cross-platform performance queries

"Return a table of daily totals for the last 28 days across Facebook, TikTok, and NewsBreak."

Ask about performance across multiple platforms in one query: date, platform, spend, impressions, link clicks, CPM, and CTR. One response.

Diagnostic questions

"Show me my click rate and tell me how I can increase it."

Ask specific diagnostic questions. Co-Pilot references your actual CTR, explains what's driving it, and suggests specific actions.

Before / after

What changes when AI knows your actual data

Without this
With FabFunnel
Without FabFunnel: Get generic "improve your CTR" advice with no account context
With FabFunnel: Co-Pilot: "CTR is 5.4% across 57,974 impressions. Here is what is driving it and what to do"
Without FabFunnel: ROAS dropped 30%, spend time diagnosing why manually
With FabFunnel: Recommendations panel surfaces diagnosis with reasoning and account numbers already in it
Without FabFunnel: Build performance charts in Google Sheets from exported data
With FabFunnel: Ask Co-Pilot: get a formatted chart from live account data in seconds
Without FabFunnel: Compare platform performance by opening three dashboards
With FabFunnel: "Compare my Meta CPA to my TikTok CPA for the last 7 days." One query, one table back
Works best with

Where Co-Pilot fits in the workflow

Social proof

What buyers say about Co-Pilot

Fab AI

"The recommendations panel is the first thing I check every morning. It reads my accounts so I do not have to dig, and every suggestion comes with the numbers behind it."

Sam J.
Media buyer, affiliate team
Live
account data behind every answer
Charts
and tables on demand
3
platforms, one conversation
FAQ

Common questions about Co-Pilot

How the AI Co-Pilot recommends actions and answers questions across your campaigns. Can't find what you need?

Talk to us →
Does Co-Pilot use my actual campaign data?
Yes. Co-Pilot analyses your live connected ad accounts across Meta, TikTok, and NewsBreak, not generic benchmarks. Every recommendation references your actual spend, ROAS, CPA, and CTR.
What is the difference between the recommendations panel and the chat?
The recommendations panel is always visible on your dashboard: Co-Pilot proactively surfaces specific actions based on continuous account analysis. The chat is conversational: ask questions, get charts, tables, or analysis in response.
Can Co-Pilot generate charts and visualisations?
Yes. Ask for a bar chart, line chart, or table for any metric across any time window. Co-Pilot returns formatted visualisations from your live account data.
Is Co-Pilot available across Meta, TikTok, and NewsBreak?
Yes. Co-Pilot pulls from all connected ad accounts across all three platforms. Cross-platform questions get unified answers.

Your campaign data is already telling you what to do. Co-Pilot makes it audible.

Part of Fab AI. Connect your accounts and get your first recommendations today.

Newsletter

Get the inside track on growth

Creative tips, ad playbooks, and product updates, delivered straight to your inbox.

No spam. Unsubscribe anytime.

app.fabfunnel.com
DashboardKeep track of your campaigns and earnings
New campaign
Goals$10,500+24%
Revenue$8,400+18%
Spend$3,800−14%
Profit$4,600+8%
Total balance$230.8K +24%
RevenueSpend
$146.8KMay 20
Lead in
Isabella Rossi$2,100 · High
Scheduled
Sam Rivera$1,500 · Med
In negotiation
Nina Patel$3,100 · Low