Admetrics

OpenAI, YouTube, OnlyFans Execs to Speak at OMR26

OMR Festival 2026 (pre-day May 4, main days May 5–6) will feature roughly 300 masterclasses, 200 guided tours and over 1,000 exhibitors as part of a program that organizers expect to draw about 67,000 attendees and more than 800 speakers. The application window for masterclasses is open and closes April 16, 2026; applicants must hold a valid festival ticket linked to their My‑Festival account and submit between 3 and 8 Masterclass/Guided Tour applications to secure spots. This article lists the masterclasses scheduled for the late‑afternoon slot on May 5, covering topics from AI agents, Agentic Commerce and AI search to SEO, Amazon Marketing Cloud, CRM, creator commerce, DOOH, loyalty and creative production, and names many participating companies and case-study speakers.

Ebay Tests AI Recommendation Tool To Up The Ante On Its Marketing Experiments

The article reports that eBay is testing Newton, an AI-driven recommendation tool from Admetrics, to optimize marketing experiments in real time. Newton runs thousands of concurrent tests, suggests channel spend shifts and targeting adjustments, and issues alerts when issues arise. It learns from advertiser feedback to refine its algorithm, enabling always-on experimentation and faster decision-making. eBay’s Sadie Daryan and Admetrics CEO Markus Repetschnig describe how Newton supports optimizing both performance and branding campaigns, including Facebook and programmatic advertising, with the goal of improving ROI. The tool aims to speed up A/B testing cycles that previously lasted two to three weeks, by enabling rapid iteration across campaigns globally.

6 Reasons to Go from A/B to Always-On Experimentation | ExchangeWire.com

The article argues that digital marketers should move from traditional A/B testing to always-on experimentation to accelerate learning and optimization. It explains that conventional significance-testing workflows suffer from six flaws—predefined significance and power, no test peeking, limited variations, inconclusive results, lack of quantification of effect size, and dependence on scarce data science resources—making iterative campaigns difficult. The piece promotes Bayesian inference as a more flexible alternative, enabling comparisons across multiple variations and ongoing updates as new data arrives. It notes early market entries of this approach, highlighting Quantify, a solution from marketing intelligence platform Admetrics. Quantify allegedly requires 60-90% less data than classical tests, supports unlimited variations, allows test peeking, and provides early, meaningful estimates of metrics and effect sizes, empowering marketers to run experiments autonomously. Admetrics CEO Markus Repetschnig calls this shift a game-changer for marketing strategy.