Back-to-school marketing on Facebook in the UK should focus on mums, who represent 75% of those discussing the topic, with 42% being mothers. Additionally, 20% of conversations are among university-age adults (18-24). Discussions begin in early August and peak in the last two weeks.
Key products include clothing, especially shoes, blazers, and school uniforms. Marketers should offer discounts on school supplies, clothing, and technology like laptops, phones, and tablets for parents. For university students, promote bedding, furniture, appliances, tech, and healthy on-the-go food.
Campaigns should launch early to capture attention.
August mobile gaming saw stable revenue at $6.57B and downloads at 3.76B. Honor of Kings led revenue through major events, while Tencent titles accounted for 5 of top revenue growth spots, driven by China. Download trends highlighted open-world crime games (Gangstar Mirage City), ASMR unboxing (Mystery Dumpling), and casual vehicle titles, with high growth in India, Brazil, and Turkey. For ad ops, seasonal events, limited-time cosmetics, and localized partnerships are key to engagement; emerging genres and fast-growth markets present new user acquisition opportunities. Live-ops pacing is critical for monetization.
Cross-channel marketing analytics isn't about putting Meta, Google, and TikTok numbers side by side—they often double-count the same customer journey. Fragmented identity is the real culprit; without a first-party Customer User ID, attribution measures platform credit, not customer value. The article explains that deduplicating conversions across mobile, web, and CTV can lift attributed revenue by 30–60% and improve ROAS by 20%. It walks through attribution models, warns against platform-native analytics, and advises using an independent MMP for true cross-channel measurement. Ad ops takeaway: fix identity resolution first, because AI-driven optimization and budget allocation depend on trustworthy, deduplicated data.
Ad ops decision-makers need proof that ad spend drives sales that wouldn't have happened organically. Conversion Lift studies use randomized holdout groups to measure true incremental conversions. During high-volume holiday seasons, studies reach significance faster (2–3 weeks) and capture full-funnel impact, producing credible, decision-ready data for budget planning. Brands that ran lift studies could confidently answer CFO questions and secure budget increases, while others faced flat budgets. For ad ops leaders, investing in a pre-peak lift study is key to unlocking attribution clarity, optimizing media mix, and proving Meta's contribution with statistical confidence.
CTV has become performance-ready for app marketers. Recent acquisitions (Fox/Roku, Walmart/Vibe) signal a shift to self-serve, measurable channels. Marketers can reuse existing UA creative instead of producing TV ads. QR codes drive direct response, but halo effects often matter more. Start with small, additive test budgets and measure assists/incrementality to understand true impact. CTV offers a way to find incremental users and diversify beyond paid social.
TikTok is offering new advertisers up to $6,000 in ad credits through a tiered spend incentive ($100/$500/$1500) that includes 1-to-1 expert support at the top tier. However, eligibility is restricted to new SMB self-serve accounts, and credits expire. Alongside the offer, TikTok has rolled out several ad tech innovations—Symphony AI creative suite, Streaming Ads, Agentic Hub, Market Scope, and new MMM data—that provide actionable opportunities for testing and scaling performance. Ad ops teams should review eligibility criteria carefully and consider leveraging these tools to maximize ROI during the promotional window.
Mobile engagement during the football tournament was fragmented, not continuous, with spikes lasting ~3 minutes around goals and pauses. Purchases peaked at halftime, not during play. Emotional stakes drove higher engagement than audience size—the third-place match outperformed the final (+21.7% vs +6.3% lift). Local factors (regulation, payment infrastructure, routines) caused market-specific behaviors. The customer journey continues post-match, requiring measurement beyond live events. Ad ops should align campaigns with attention patterns, optimize for local nuances, and track the full funnel.
The open internet presents unique challenges for performance advertising: fragmented identity, closed first-price auctions, and non-stationary supply. Moloco's CARA compound architecture tackles this with six integrated technical domains—Campaign Automation, Supply, Ad Recommendations, Bidding, Creative, and Signals—running on a unified ML infrastructure. Key insights for ad ops: the system continuously learns from every interaction, uses knowledge distillation to serve real-time predictions under 10ms latency, and validates improvements through rigorous live experiments. In 2025, 65 validated model updates reduced CPA by 17% and improved ROAS by 27%. The key takeaway: compound AI architectures that connect prediction, bidding, creative, and data can unlock measurable performance gains beyond walled gardens.
For ad ops decision-makers, the key insight is that holiday shoppers no longer follow a single path to purchase; they engage across Reels, Feed, Stories, Messenger, and Audience Network. Relying solely on Feed misses most of the journey and leaves revenue on the table. Meta Advantage+ placements solve this by automatically determining the optimal surface for each user at each moment, based on real-time intent signals. This expands access to the full inventory, reducing Q4 CPM inflation from manual bidding competition. With 95% of shoppers participating in sales events and 49% planning to spend more, enabling Advantage+ now ensures the system learns during October and enters peak season at peak efficiency.
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