The Adjust 2025 festive season report reveals distinct mobile app trends across categories, offering actionable insights for ad operations. Entertainment apps saw installs consistently above the 2025 daily average throughout December, with video streaming spiking 54% above average on New Year's Eve. E-commerce had two distinct phases: deal discovery apps drove high sessions (up 37%) in early December, while shopping app installs soared post-Christmas (up 18% on Dec 27).
Finance app sessions surged 34-36% in early December for budgeting and payments, then declined during festivities. Food delivery maintained steady installs (26-58% above average) and sessions (19-36%) from early December through New Year's Day, with continued post-Christmas strength. Gaming installs rose 7% on Christmas Day, then accelerated to +18% on New Year's Day, with subgenres like racing (+48%) and hybrid casual (+35%) seeing huge gains.
Sessions also improved, with sports (+25%) and idle RPG (+20%) leading on New Year's Day. Travel apps peaked Dec 26-28 with +23% installs, while maps & navigation spiked early December and again post-Christmas. For ad ops: phase campaigns by category—invest in installs for entertainment and shopping post-Christmas, focus on engagement for finance pre-holiday, maintain always-on presence for food delivery, and use two-phase strategy for gaming (install-focused post-Christmas, engagement-led at year-end).
These data points enable precise budget allocation and creative rotation to capture seasonal demand.
This article’s granular breakdown of install and session peaks across app categories is a strategic signal for ad ops pros: the festive season is not monolithic. The data reveals distinct timing windows—finance activity peaks before Christmas, while gaming and entertainment surge after—which directly impacts campaign pacing and budget allocation. For teams managing UA, the key implication is that a single holiday campaign strategy risks missing these micro-moments.
The article’s reliance on Adjust’s own data also underscores a broader industry signal: as privacy regulations tighten and IDFA deprecation reshapes attribution, platform-specific insights like these become critical for calibrating spend. The competitive angle is clear—advertisers who recognize that shopping apps peak post-Christmas while deal discovery apps spike earlier can optimize creative sequencing and bid strategies. For monetization teams, the session data (e.g., finance apps dipping during festivities) helps align ad inventory planning with expected user engagement.
This analysis reinforces that success in the 2025–2026 cycle depends less on blanket holiday pushes and more on time-sensitive, category-aware decisions.
Adjust Audiences enables ad ops teams to build real-time user segments for personalized campaigns. Key audience types include geographic, acquisition-based, lifecycle, inactivity, revenue, event-based, and combined segments. Sharing dynamic audiences with partners ensures up-to-date targeting, reducing wasted spend and improving ROI. Actionable insights: suppress low-intent users, retarget high-value segments, and automate workflows via partner integrations.
Web-to-app strategies can significantly boost retention, engagement, and LTV by converting web users into high-value app users. Key pillars include defining clear goals, targeting high-intent users, designing native-feeling creatives, crafting compelling copy, ensuring seamless deep linking, and measuring attribution. Adjust's tools like Smart Banners, Smart Scripts, and TrueLink enable dynamic targeting, attribution continuity, and optimized routing. Data shows potential for 4x CTR improvements and click-to-install rates rising from 25% to 50%. Decision-makers should focus on segment-based optimization and post-install metrics to maximize ROI.
During Songkran 2025 in Thailand, overall app installs rose 8% and sessions 12% YoY. Food & drink apps surged up to 141% in installs and 160% in sessions during the festival. E-commerce saw a post-festival spike (+49% installs). Entertainment apps had longer sessions (+30%), while social and messaging apps also grew significantly. Key actionable insights: align campaigns to pre/during/post phases, optimize for intermittent usage, segment tourists vs. locals, and capture long-term value post-festival.
Adjust's SpendWorks unifies ad spend tracking across networks, enabling marketers to collect, validate, and analyze cost data with performance metrics. It supports multiple collection methods including API integrations, scheduling, web-to-mobile spend, and data imports. Key features include 40+ network integrations, automated scheduling with multiple daily pulls, and granular mapping for cross-channel campaigns. This solution reduces manual effort, improves data accuracy, and supports smarter budget allocation for better ROAS.
Adjust's PC & Console solution enables cross-device measurement for gaming, addressing fragmentation across platforms like Steam, console, and mobile. It supports three setup paths: S2S for in-game events, Web SDK for web journeys, and external device ID matching for deterministic linking. Key features include Steam measurement via S2S or Steamworks SDK, SpendWorks for ad spend consolidation, and Datascape for unified reporting. With cross-device journeys becoming common, this solution helps marketers attribute campaigns, measure ROAS, and analyze player value across PC, console, mobile, and CTV, addressing the 61% rise in paid-to-organic ratio in gaming.
Dating app installs dropped 4% and sessions fell 7% in 2025, with rising user acquisition costs (CPI up 89% to $2.76) and shrinking session lengths (13.21 to 11.49 min). However, retention improved, with Day 1 rates rising to 26%. Valentine's Day 2025 drove only modest dating app activity (installs +12%), while video streaming (+138%) and recipe apps (+49%) surged. The paid-to-organic rate increased to 2.14, indicating higher reliance on paid channels. Ad ops teams should optimize for efficiency amid rising costs and shifting seasonal behavior.
Adjust's InSight incrementality testing uses machine learning to isolate the causal impact of budget changes, with 95% confidence intervals. Analysis of U.S. tests shows that on iOS, statistically significant lift occurred in ~33% of cases for top platforms, while on Android, ~25% of budget increases led to organic cannibalization. InSight helps ad ops teams separate signal from noise, enabling confident scaling or reallocation decisions. The tool integrates with Adjust's suite, complementing attribution for a complete measurement strategy.
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.
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