Connected TV (CTV) has transformed TV viewing, with 87% of US households owning a CTV device and viewers spending nearly 6 hours weekly streaming. CTV advertising is booming: 98% of brands believe it will surpass mobile ad spend within 5 years. The ecosystem includes devices like smart TVs and streaming sticks, and OTT content providers such as Netflix and Disney+.
Advertisers benefit from precise audience segmentation, high engagement, brand safety, and detailed attribution across devices. Common ad formats include in-stream video, interactive ads, and display ads. Inventory can be bought programmatically, directly from platforms, or from publishers.
Monetization models include SVOD, AVOD, TVOD, hybrid, and FAST. Measurement and attribution, especially with MMPs, are crucial for optimizing campaigns and fighting fraud. Best practices involve studying data, honing audiences, measuring KPIs like reach and ROAS, and combating fraud.
CTV advertising offers precise targeting, high viewability, and measurable performance. Advertisers should use short, punchy creatives, leverage QR codes, and test multiple versions. Targeting options include geolocation, demographics, platform, and contextual data, with first-party data enhancing ROI.
Gaming marketers face fierce competition, privacy changes, and high user expectations. Key metrics include CPI, LTV, ROAS, and retention. Creative formats like rewarded videos and playable ads drive engagement. SKAdNetwork requires strategic conversion value mapping. Granular measurement underpins success.
Subscription app revenue surged in 2021, with App Store up 33% and Google Play up 78%. Key challenges include user loyalty, conversion, and privacy. Deep measurement via in-app events, deep linking, and predictive analytics is crucial for UA and re-engagement.
Data clean rooms let brands securely share anonymized user data, enabling privacy-compliant audience insights, campaign measurement, and personalization without exposing PII.
True ROI requires accurate attribution data to avoid the bleeding cash cycle. Robust attribution platforms collect, standardize, and integrate cost data via APIs, enabling granular optimization. Privacy and security are critical.
Cross-platform measurement resolves the common problem of fragmented, device-level reporting that inflates ROAS and misallocates budgets. By unifying customer identity across web, mobile, CTV, and other surfaces, marketers gain a single view of LTV and attribution. AppsFlyer provides this via CUID stitching and Product Line grouping, enabling real-time, deduplicated insights without manual BI work. Key benefits include accurate cross-platform ROAS, elimination of duplicate attribution, and reliable data for AI-driven optimization.
Mobile advertising uses paid channels on smartphones and tablets, offering hyper-targeting and cost-effectiveness but facing challenges like privacy changes and fraud. Key metrics include CPI, ROAS, and LTV. Effective strategies involve clear goals, audience definition, and mastering ATT prompts.
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.
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