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AI-Powered Creative Testing

Know if your creative will land before you launch

Test digital ads, emails, and landing pages against AI-generated synthetic personas built from real CDP data. Get resonance scores, detailed reasoning, and rewrite suggestions — in minutes, not weeks. Includes preloaded demos for Airlines and Banking.

Resonance Heatmap

First Reaction

"This feels authentic — I'd actually stop scrolling for this..."

WORKS

Transparent tone...

DOESN'T

Missing proof...

How It Works

Three AI agents working together to predict creative performance

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Persona Agent

Transforms CDP segment data into psychologically rich synthetic personas. Not generic profiles — deeply specific personas grounded in real behavioral data, satisfaction scores, and channel preferences.

📊

Evaluation Agent

Tests every creative against each persona across five dimensions — Relevance, Emotional Resonance, Clarity, Trust, and Action Likelihood — with detailed reasoning explaining every score.

💬

Research Agent

Ask follow-up questions after experiments. "Why did this segment reject the ad?" or "Rewrite the headline for Near-Retirees." Gets specific, evidence-based answers grounded in your data.

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A/B Comparison

Test two variants head-to-head. See which wins per segment with dimension-level breakdowns.

🗃

CDP Integration

Build personas from AEP segment exports. CSV paste or cloud storage connector (S3, Azure, GCS).

📈

Experiment History

Every experiment saved with full results. Track score trends and build institutional knowledge over time.

📄

Export Reports

Generate branded PDF reports with heatmaps and detailed evaluations. Share with stakeholders instantly.

📚

Demo Library

Preloaded creatives and personas for Airlines and Banking. One click to load, one click to test.

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Multi-Format Testing

Test digital ads, email campaigns, and landing pages — each with format-specific evaluation criteria.

Ready to test your creative?

Launch experiments in minutes, not weeks. No setup required.

Foresight Studio — Predict Creative Performance Before Launch

Initializing...

01 Choose Your Experiment

Test a single creative or compare two variants head-to-head.

Single Creative

A/B Comparison

Creative Format

02 Enter Your Creative

Load a prebuilt demo or paste your own creative below.

📚 Demo Library — preloaded creatives & personas

Pick an industry to auto-load personas and browse ready-to-test creatives:

✈️ Airlines

🏦 Banking

OR ENTER MANUALLY

03 Select Personas

Choose which audience segments to test against.

How Foresight Studio Builds Personas from CDP Data

Foresight Studio transforms raw AEP segment exports into psychologically rich synthetic personas. Here is exactly what happens under the hood.

The Translation Pipeline

Your CSV contains 35+ columns of aggregate segment data — demographics, behavioral metrics, satisfaction scores, campaign response rates, and CRM tags. Foresight Studio does not simply list this data back. It interprets correlations between data points to generate psychological insights. For example: a 28% email open rate + 58% OTA booking rate + 0.62 churn probability tells the engine this persona is price-driven, brand-agnostic, and only responds to specific dollar-off messaging — not percentage discounts.

Data Sources from AEP

Segmentation Service defines which groups to build personas for. Profile Access API provides identity, loyalty, and preference attributes (aggregated per segment). Query Service computes behavioral metrics from Experience Events — email engagement, booking patterns, app sessions, campaign response. All three combine into one CSV row per segment.

Cloud Storage Integration

AEP Destinations can export to S3, Azure Blob, or GCS on a schedule. Query Service runs daily aggregation, writes to a derived dataset, and that dataset auto-exports to cloud storage. Foresight Studio can fetch directly from your bucket via pre-signed URL — no manual copy-paste needed.

How the Research Agent Works

Foresight Studio's Research Agent receives the full experiment context — all persona profiles, scores, reasoning, and creative details — with every question. It traces causal chains across four layers of evidence to deliver specific, actionable insights.

Four-Layer Evidence Chain

When you ask "Why did Near-Retirees score low on Trust?", the agent cross-references: (1) The persona profile — "distrusts flashy marketing, wants credentials". (2) The Trust score — 3/10. (3) The evaluation reasoning — "no specific numbers, feels evasive". (4) Your actual creative copy — what triggered that reaction. It then synthesizes a specific recommendation grounded in all four layers.

Conversation Memory

The agent maintains full chat history within a session. You can explore a creative direction across multiple turns: "Rewrite the headline" → "Now adapt it for another segment" → "Make it more urgent" — each turn builds on previous context.

Smart Suggestions

Suggestion buttons are computed from your actual results — they identify the lowest-scoring persona, weakest dimension, and strongest performer, generating targeted questions that address the biggest opportunities first.