The clinical framework and objective standards used to compute the A-Score™. Designed for institutional diligence and forensic accountability.
This methodology governs the independent verification of ad spend integrity, derived directly from authentic Meta Marketing API data. It establishes the clinical baseline for generating an advertiser's A-Score™.
The objective of the A-Score™ is to provide a standardized, immutable metric representing the structural health, security, and operational efficiency of a given ad account prior to or during capital deployment. It removes subjective agency reporting and replaces it with cryptographically verifiable platform truth.
The A-Score™ is computed across six distinct domains. Each domain aggregates dozens of API signals into a weighted sub-score.
The six evaluation domains are not computed through a direct API query. They are the output of a five-layer proprietary detection engine — the Ad IntellX Data Intelligence Engine — which processes API-retrieved account data through sequential signal layers before domain subscores are computed.
Layer 1 (Core Detection), Layer 2 (Compound Signals), Layer 4 (Predictive Signals), and Layer 5 (Autonomy Signals, read-only in verification mode) each contribute distinct signal classifications. An integration gate cross-validates engine outputs against API data before any scoring computation begins. This gate is the mechanism that ensures the A-Score™ is produced from verified, integrated data — not from either source in isolation.
Elevated from a standalone reporting metric to a core methodological checkpoint, Platform Signal Integrity evaluates how well the ad account leverages machine-learning optimization capabilities native to the platform.
This includes auditing Advanced Matching parameters, Conversion API (CAPI) redundancy, and server-side latency. An account that fails to pass sufficient deterministic data back to the platform suffers a severe signal integrity penalty, crippling the A-Score™ regardless of top-of-funnel engagement metrics.
Certain critical risk conditions trigger an immediate ceiling on the maximum achievable A-Score™. These overriding rules ensure that foundational flaws cannot be masked by strong performance in secondary areas.
If active campaigns are utilizing ad sets without an attached pixel or conversion event, the account exhibits critical data loss.
If an unauthorized domain or unverified secondary Business Manager holds full admin rights over the primary ad account.
Every generated A-Score™ is backed by a cryptographically signed JSON export. This allows institutional buyers, auditors, and M&A teams to verify the authenticity of the report independently of the Ad IntellX interface.
// Verification Endpoint
GET https://api.adintellx.com/v1/verify/record?id=AX-471983
In accordance with institutional verification standards, Ad IntellX strictly bounds its claims. The A-Score™ and accompanying forensic reports do not claim to determine:
Initial publication of the Ad IntellX A-Score™ independent verification methodology.