Facebook aims to show users the most relevant and high-quality content from Pages they follow. To define quality, they surveyed thousands of users on factors like timeliness, trustworthiness, shareability, and authenticity. Using machine learning with over 1,000 signals—such as hiding reports and Page completeness—they built an algorithm to detect high-quality posts.
Testing showed increased interactions and fewer hidden stories. The update will roll out gradually, with minimal impact for most Pages but potential reach gains for those with strong engagement. Recommendations include producing quality content and optimizing for engagement.
Marketing attribution is critical for connecting spend to revenue, but platform self-reporting and last-click bias distort budget decisions. Single-touch models (first/last-click) are simple but miss the full journey; multi-touch models (position-based, data-driven) are more accurate but require robust data. Mobile attribution is particularly challenging due to ATT, SKAdNetwork, and cross-platform gaps, necessitating a mobile measurement partner (MMP) for independent, deduplicated measurement. Clean attribution data is essential for AI-driven optimization—bad signals lead to bad decisions. Starting with position-based attribution and incrementality testing provides a practical foundation.
TikTok's Streaming Ads, powered by Smart+, are a catalog-fueled performance solution for streaming services to drive subscriber acquisition. Key formats include Multi-Show Experience, Media Card, and Singular Media Card. Early tests show 80% of campaigns outperformed non-Streaming Ads. The New Title Launch solution helps turn tentpole moments into efficient conversions. A limited-time offer provides ad credits up to $1500 plus expert support for new advertisers.
TikTok's Streaming Ads leverage Smart+ AI to drive subscriber acquisition for streaming services. Key features include catalog-fueled performance ads, interactive formats (Multi-Show Experience, Media Card, Singular Media Card), and advanced optimization using intent signals. Early tests show 80% of campaigns outperformed non-Streaming Ads. The New Title Launch solution boosts performance during major releases, with 60% of promotions exceeding CPA goals. Streaming Ads enable efficient conversions, operational ease through automation, and reduced creative fatigue. TikTok also offers a limited-time spend match promotion for new advertisers.
Meta introduces the Holiday Insights Center, offering data-driven strategies for small businesses to maximize holiday sales. Key insights: 85% of shoppers buy in-store after seeing products on social media; 59% message businesses during holidays; AI adoption is rising among shoppers and can streamline operations; 94% of shoppers use creator content for guidance. Advertising ROI is strong: $4 back per $1 spent. Actionable steps include optimizing social profiles, enabling messaging tools, leveraging AI, collaborating with creators, and updating data setups like Meta Pixel and Conversions API. The free Holiday Playbook provides step-by-step guidance.
User testing reveals the gap between designer intent and user experience, uncovering silent churn causes like unclear onboarding or passive ad chains. Analytics show what happens; user testing explains why. Small tests (5-8 participants) can identify friction points, and improving retention by 10% can significantly boost revenue without changing monetization. For ad ops, this means better user engagement reduces wasted ad spend and increases lifetime value.
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.
Muse Image, Meta's first image generation model, will power Advantage+ creative with agentic reasoning and self-refinement, producing higher-quality, on-brand ad variations. Early tests show improved photorealism and product integrity. Additionally, it enables room restyling in Meta AI Shopping, letting shoppers visualize catalog products in their own spaces. With over 8 million advertisers using gen AI tools, these upgrades offer significant opportunities for creative diversity and campaign performance. Advertisers should invest in catalog quality and prepare to leverage new capabilities.
The advertising model is shifting from deterministic identity to probabilistic prediction, as cookies become less reliable. Advertisers can now find high-intent audiences in non-obvious contexts (e.g., insurance buyers in puzzle games) using SDK-based platforms that directly integrate with supply. These platforms predict outcomes like installs and purchases better than legacy systems, which rely on intermediaries and suffer from weaker signals. For ad ops, adopting predictive, outcome-driven platforms with direct supply access is key to efficient growth.
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