Are our confidential unreleased video cuts protected?

Yes. Your videos are kept in private, encrypted storage, visible only to your workspace, and are never used to train AI models. They are deleted from the AI models as soon as analysis is complete. See our Security page for details.

What is a Flame Score?

The Flame Score is an aggregate index from 0 to 100 measuring thumb-stop power, mid-clip message comprehension, and purchase intent. Scores above 78 indicate conversion readiness.

Run Automated Focus Groups on Video Ads with AI Buyers

The Auction Cost of Inaction

Why Untested Creatives Suffer Auction Penalties

Human Focus Group Turnaround

2 to 3 Weeks

Traditional consumer panel scheduling delays weekly creative testing cadences.

Traditional Consumer Panel Cost

$4,000 – $10,000

Agency retainers for subjective qualitative feedback that lacks second-by-second drop-off tracking.

Live Auction Failure Rate

70% to 85%

New creative flights that fail in live auctions due to unaddressed friction and price skepticism.

Interactive Workflow Simulator

Synthetic Persona Response Inspector

Examine simulated friction points across skeptical, impulse, and value-focused buyer personas.

Instant Model

High-Skepticism Buyer

Abandons at second 0:02 if scientific proof or verified testimonial is omitted. Requires tactile proof over generic claims.

Simulated 3s Hold: 48%

Impulse DTC Consumer

Responsive to high-contrast motion graphics, fast audio cues, and sensory unboxings. Drops off if pacing lags behind 4 cuts/3s.

Simulated 3s Hold: 74%

Value-Driven Decision Maker

Holds through 0:05 if cost comparison and friction reduction are explicitly visualized in initial frame overlays.

Simulated 3s Hold: 82%

Simulated results. Actual performance may vary. See Terms.

Pre-Flight Process

How AdFlame Validates Your Video Ads in 3 Steps

Select Target Buyer Cohorts

Configure demographic parameters, price sensitivity, category skepticism, and buying intent.

Simulate Frame-by-Frame Holding

Synthetic personas evaluate the cut frame-by-frame, logging attention loss and objection triggers.

Inspect Resonance & Objections

Receive an overall Flame Score (0–100) and actionable script revisions to address identified buyer objections.

Core Capabilities

Engineered for Performance Media Teams & Creative Strategists

Calibrated Demographics & Archetypes

Simulate high-skepticism buyers, impulse shoppers, and high-consideration B2B decision-makers.

Second-by-Second Friction Heatmaps

Pinpoints the exact frame where synthetic viewers experience credibility loss, pacing boredom, or price hesitation.

Private by Default

Your pre-release cuts stay in private storage, are never shared or published, and are never used to train AI models.

Enterprise Confidentiality & Zero Data RetentionYour pre-release video cuts, concepts, and campaign scripts are processed within isolated sandbox environments. AdFlame never publishes, exposes, or uses your proprietary assets to train external public models.

High-Intent Questions

Frequently Asked Questions

AdFlame synthetic personas are built from detailed audience profiles and calibrated with paid-social benchmark data (hook rates, hold rates and completion) across 20 industry verticals.

Ready to Validate Your Video Ads?

Stop Guessing. Pre-Test Your Creative in 2 Minutes.

Join performance media buyers and growth teams who pre-test creative cuts to protect live auction capital.

Deploy Automated Synthetic Buyer Focus Groups in Minutes, Not Weeks