This article highlights CTV (Connected TV) advertising as a growing channel distinct from mobile UA. CTV devices include smart TVs and gaming consoles, while OTT refers to streaming services like Netflix. CTV ads should leverage narrative, emotional impact, and show app usage on devices to drive post-view actions, unlike mobile ads that prioritize direct interaction.
Best practices include: building stories around characters, using device frames or POV footage to demonstrate app usage, evoking emotions early, and focusing on 1-2 key messages. Experimentation with intrigue can also be effective. Industry data shows CTV ad investment grew from $9B in 2020 to $13B in 2021, with projections doubling by 2025.
The article encourages integrating CTV into marketing mix to extend reach and maximize campaign impact.
ChatGPT transforms marketing by accelerating research, ideation, and content creation. It aids in market analysis, competitor research, feature brainstorming, and ASO optimization. Marketers can leverage it for efficiency while maintaining strategic oversight.
AppLovin introduces performance-based CTV advertising on AppDiscovery, enabling app marketers to buy CTV inventory on a CPI basis. This allows them to reach 93% of US internet users across FAST apps and 3,000+ channels. The platform automates and optimizes campaigns, provides transparent analytics, and includes creative services from SparkLabs. Marketers can now scale app growth across all verticals with cost-effective, trackable CTV campaigns.
Omnichannel analytics unifies customer behavior and campaign performance across mobile, web, CTV, and AI search into one identity, one attribution model, and one ROAS number. The core problem: a single customer seen on three surfaces becomes three users, inflating performance and corrupting attribution, LTV, and retention. Stitching channel reports into one dashboard is not unification—each channel keeps its own attribution logic, so conversions get double-counted and upper-funnel spend looks unproductive. For ad ops leaders, the takeaway is that identity resolution (deterministic plus probabilistic, privacy-safe) must happen at the data layer before any dashboard exists. Platform choice hinges on surface coverage, identity resolution, compliance, incrementality testing, and migration support.
Paid user acquisition via social, search, programmatic, and influencer ads drives app growth. AppDiscovery simplifies campaigns with ML optimization, CPI-based CTV ads, and creative support from SparkLabs, helping hit KPIs efficiently. Key insight: leverage automation and data-driven targeting for profitable, scalable UA.
AppsFlyer’s 2026 creative data shows video and static image ads reward opposite creative qualities, so ad ops teams should plan, budget, and test them separately. Video spend is concentrating: gaming’s top 2% of video creatives captured 60.7% of spend, up from 53.5%, while image spend spread out. Top spenders are testing far more variations, widening the testing gap. Action/Strategy and Puzzle/Lifestyle show format-specific tone and social-proof reversals; Finance is the exception. Teams should use AI-assisted variation, analyze video winners deeply, keep broad image testing, and measure performance at attribute level.
Playable ads boost engagement beyond mobile games. Align creative with app experience, keep it simple, reward users, and use specific CTAs. Study data to optimize campaigns for better retention and ROAS.
Long-form video ads (31-60 seconds) can outperform short ads by 18-48% in conversions, offering narrative storytelling, detailed user experience demos, engagement opportunities, bottom-funnel targeting, and brand building for mobile campaigns.
Adjust's Device Usage dashboard in Datascape gives ad ops teams a prebuilt view of how active users are distributed across app versions, OS versions, SDK versions, and iOS ATT status, plus dimensions like device type, country, language, and date. The core insight is that release impact can lag because users update over days or weeks; segmenting DAU by version explains flat or shifting metrics. Teams can track SDK and app-version adoption, compare OS behavior, identify stale versions, and add device/country context to performance analysis. Actionable takeaway: use the dashboard before and after releases or SDK rollouts to validate adoption, isolate version-specific issues, and contextualize attribution and engagement trends.
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