Predictive Analytics

Digital marketing veteran Vlad Zhovtenko reveals why data ownership has become the biggest competitive advantage in e-commerce. As platforms change algorithms and new search behaviours emerge through TikTok and AI, businesses that control their own customer data can adapt quickly while competitors struggle. Learn his practical framework for identifying the 1-2 metrics that actually drive growth, avoiding the AI analysis trap, and building sustainable data advantages that compound over time.

Jo Davis from Sweet Analytics reveals how eCommerce brands can move beyond gut-feel decisions to data-driven growth strategies. Learn the Growth Model Framework that transforms vague growth goals into specific customer acquisition targets, discover why discount codes actually improve customer lifetime value, and understand how AI will revolutionise personalised shopping experiences. This practical guide shows how to focus on the metrics that truly matter rather than drowning in data overwhelm.

Returning guest Valon Xhafa from Bahamics does a deep dive into the disruptive power of AI in the world of eCommerce.

The cookieless future isn't a crisis—it's a return to fundamental marketing principles that successful brands used for decades. Jeff Greenfield reveals why shifting focus from clicks to impressions, embracing delayed attribution effects, and building broad awareness campaigns will help eCommerce businesses thrive when third-party cookies disappear. Learn practical steps for implementing old-school marketing wisdom in the digital age.

Digital marketing platforms promise precision targeting but deliver diluted audiences that waste budgets and corrupt analytics. Jason Wood reveals how contextual data layering builds high-conversion audiences outside platform ecosystems, using device IDs and conversion insights to achieve targeting precision that traditional methods cannot match. Discover why successful marketers are abandoning platform dependency in favour of audience-centric strategies.