Leadberry
Transform anonymous website traffic into high-intent B2B sales pipelines.
AdQuotient is a sophisticated AI-driven marketing intelligence platform designed for the post-cookie landscape of 2026. It leverages a proprietary Hybrid Attribution Model that fuses Marketing Mix Modeling (MMM) with Multi-Touch Attribution (MTA) to provide a unified view of the customer journey across siloed channels like Meta, Google, TikTok, and Connected TV (CTV). Its technical architecture utilizes machine learning to ingest raw API data and clickstream signals, neutralizing the impact of signal loss from privacy frameworks such as iOS 14.5+ and the deprecation of third-party cookies. AdQuotient's predictive engine forecasts ROAS (Return on Ad Spend) with high precision, allowing growth teams to simulate budget reallocation scenarios before deployment. By 2026, the platform has integrated generative creative insights, scoring ad assets based on historical performance DNA to advise on visual and copy adjustments. It is positioned as the 'Source of Truth' for mid-to-enterprise brands requiring granular incrementality testing and automated budget pacing without the latency of manual spreadsheets.
Uses Bayesian regression to calculate what sales would have been without paid media intervention.
Transform anonymous website traffic into high-intent B2B sales pipelines.
Real-time human attention prediction powered by neuroscience-based AI.
AI-Powered Fraud Detection and Audience Authenticity Auditing for Influencer Marketing.
Automated marketing reports for agencies and brands seeking high-speed visualization.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Computer vision analysis of ad assets to correlate visual elements (colors, faces, pacing) with conversion rates.
An automated engine that shifts daily budgets between platforms based on intraday ROAS fluctuations.
Utilizes hashed first-party data and browser signals to reconstruct journeys without PII.
Monte Carlo simulations applied to marketing budgets to predict outcomes across 10,000+ variables.
Pre-built connectors that push clean conversion data back to ad platform APIs.
ML alerts that trigger when ad platform CPMs or conversion rates deviate from 30-day moving averages.
Uncertainty on which channel should receive the additional $1M seasonal budget.
Registry Updated:2/7/2026
Loss of retargeting efficiency due to browser tracking restrictions.
Difficulty measuring the direct impact of Connected TV ads on e-commerce sales.