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Brief

pubX

Publisher Monetisation

pubX uses machine learning to automatically optimise a publisher's ad stack configuration, increasing advertising revenue without requiring changes to existing technology partnerships.

Last updated Oct 21, 2026 by ATDb automated enrichment

Founded
2019
HQ
London, England, United Kingdom
Connections
2

AI-drafted from public sources2 sources cited

About

Emerging specialist in ML-driven ad stack optimisation for independent digital publishers

pubX is a UK-based adtech company focused on helping digital publishers maximise their advertising revenue through intelligent ad stack optimisation. The platform uses machine learning and data science to analyse a publisher's existing setup and recommend or automatically implement the optimal configuration of header bidding partners, ad formats, and demand sources — without requiring publishers to switch away from their existing technology stack. The company's core product acts as an analytics and optimisation layer that sits above a publisher's ad stack, continuously monitoring performance signals and making data-driven adjustments to improve yield. pubX targets independent and mid-sized publishers who often lack the in-house data science resources to compete with larger media organisations, positioning itself as an accessible route to enterprise-grade revenue optimisation. pubX operates on a revenue-share or performance-based model, aligning its incentives directly with publisher outcomes. It competes in the publisher monetisation and yield management space alongside tools like Assertive Yield, Automatad, and Browsi, differentiating itself through its machine learning-driven approach and its focus on working with a publisher's existing stack rather than replacing it.

Business model

SaaS / Revenue Share

Target market

SMB / Mid-Market

What they offer

  • pubX Optimiser

    Machine learning engine that analyses and automatically optimises header bidding and ad stack configuration to maximise publisher yield.

  • pubX Analytics

    Dashboard providing publishers with granular visibility into ad stack performance, revenue attribution, and optimisation recommendations.

  • Ad Stack Audit

    Diagnostic tool that evaluates a publisher's current setup and identifies revenue leakage and configuration inefficiencies.

Key features

Machine learning-driven ad stack optimisationHeader bidding configuration managementReal-time revenue analytics and reportingWorks with existing publisher tech stackAutomated yield managementPerformance benchmarking against industry data

Use cases

Increasing CPMs for independent news and content publishersOptimising header bidding partner selection and configurationIdentifying and fixing revenue leakage in existing ad setupsBenchmarking ad stack performance against industry peers

Customer segments

Independent digital publishersMid-sized content and news websitesNiche and vertical media publishers

Tech & specs

Technology stack

Machine learning / data scienceHeader bidding integrations (Prebid.js)Cloud-based analytics infrastructure

Security & compliance

GDPR

Deployment

Cloud

API

Limited

Corporate history
  1. 2019 · Founded
Connection details
See people at pubX (2)

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