Executive Briefing: Tuesday 29 September

Executive summary McDonald's is launching a significant commerce media network, signalling a major shift in how quick-service restaurants leverage customer data for advertising revenue. Concurrently, a fundamental re-evaluation of WordPress as a foundational CMS is underway, driven by performance and governance concerns. Marketers are also urged to rethink traditional last-click attribution in retail and to capitalise on the high-quality, albeit low-volume, traffic generated by AI Assistants in Google Analytics. McDonald's launches billion-dollar media network McDonald's is entering the commerce media landscape with its new McDonald's Media Network, aiming to build a billion-dollar global business. This initiative, currently piloting across 450 US company-owned restaurants, leverages McDonald's extensive customer base, including over 70 million daily global customers and 220 million active loyalty members who visit 2.5 times more often and drive 30% of sales. The move signifies a broader trend in retail, with WPP Media forecasting Australia's retail media channel to reach AUD $2.3 billion in 2026, marking a 19.5% increase. This strategy transforms customer touchpoints like the McDonald's app, ordering kiosks, and menu boards into new advertising revenue streams, while doubling investment in longer-running brand programs. WordPress dominance challenged by technical debt and governance issues After two decades, WordPress's market dominance is facing significant challenges, prompting professional teams to seriously consider alternatives. The platform's 21-year-old codebase, designed for an outdated web architecture, is contributing to performance ceilings, SEO technical debt, and escalating maintenance burdens. Further compounding this are legal and governance disputes, such as the public conflict between Automattic and WP Engine in 2024–2025, which raised questions about ownership and control within the open-source community. This uncertainty, coupled with performance limitations, is accelerating a migration conversation for brands seeking more modern, scalable, and legally transparent content management infrastructure. Rethinking retail peak planning beyond last-click attribution Current retail peak season strategies are often built around last-click attribution, leading to a misinterpretation of demand capture as demand creation. A recent IAB Australia and Pureprofile report indicates that 92% of Australian online shoppers utilise search or online retail platforms during product discovery and evaluation, highlighting a multi-touchpoint journey averaging 4.8 touchpoints before conversion, with 71% of audiences exposed to more than four. This approach often leads brands to overinvest in performance channels when demand is already visible, driving up auction costs for existing customers. A more effective plan requires understanding a category's unique decision clock—such as four to eight weeks for electronics or one to three weeks for fashion—to align early media spend with genuine demand creation. High-value traffic from AI Assistants in Google Analytics Google Analytics has introduced new features, including an AI Assistant Channel, which automatically tracks traffic from answer engines. While this traffic currently represents a small fraction of overall sessions, typically 1% to 5%, its quality is significantly higher than traditional organic search. Adobe data from March 2026 shows conversions from AI Assistants are 42% better, traffic spends 48% more time on product pages, and yields 37% higher revenue per visit. Similarly, Shopify reported in May 2026 that AI Assistant traffic achieved 50% higher conversions on product detail pages and a 14% higher average order value. This highlights a critical opportunity for marketers to focus on margin growth by optimising for this valuable traffic source.