Explain a genuinely new idea, pre-launch campaign simulation, to marketers who are used to A/B testing after launch, and make the product feel trustworthy enough to join a waitlist.
All work[ 01 ]
Live productAutonomous AIAI MarketingProduct
GreenSignal AI
Test a campaign on 10,000 synthetic users before you spend.
- Client
- iBOY Innovation Hub
- Year
- 2026
- Category
- Autonomous AI
- Location
- Worldwide
marketing-sim-ten.vercel.app
[ Overview ]
Campaigns usually learn after the money is gone. This one learns first.
GreenSignal AI is our own marketing simulation product. It runs ad copy, audience and platform choices through a synthetic audience and returns predicted engagement, click-through and conversion before any budget is committed.
Most teams only discover a weak campaign once it is live and spending. GreenSignal AI moves that lesson to the front: a marketer describes the campaign, the platform simulates how a defined audience responds, and the workspace ranks creative variants by their predicted results.
We built the product and its launch site together: a clear problem story, a three step how it works sequence, transparent pricing tiers, an FAQ, and a working campaign workspace that shows predictions instead of describing them.
[ What we built ]
The parts that make it work.
Simulation workspace
Enter copy, audience, platform and objective, then compare predicted CTR, engagement and conversion for each variant.
Synthetic audience engine
Every run is scored against 10,000 simulated users built from the chosen persona.
Waitlist and early access
A launch flow that enrols early users and offers the first hundred a free Pro plan.
Plain pricing and FAQ
Tiers and answers written so a marketer understands the offer in one read.
[ Screens ]
Captured from the live product.
Every view below is a capture of the deployed site, at desktop and phone sizes.
marketing-sim-ten.vercel.app
marketing-sim-ten.vercel.app
marketing-sim-ten.vercel.app
marketing-sim-ten.vercel.app
[ How it flows ]
From first visit to done.
- 01
INPUT
- Campaign copy
- Audience persona
- Platform selection
- Campaign objective
- Creative variants
- 02
SIMULATION
- 10,000 synthetic users
- Behavioural modelling
- Psychological trigger analysis
- Audience segmentation
- 03
OUTPUT
- Predicted CTR
- Engagement probability
- Conversion estimate
- Variant ranking matrix
- 04
LEARNING
- Real campaign results sync
- Model recalibration
- Audience-specific prediction refine
10,000
Synthetic users per run
Product capability
3
Predicted metrics per variant
Click-through, engagement, conversion
5
Campaign inputs compared
Copy, persona, platform, objective, variants
Live
Waitlist and early access
Internal iBOY product
