The article discusses the typical Q1 CPM and revenue decline known as the 'January slump' due to reduced advertiser spending post-holidays. It provides actionable strategies for app developers using AppLovin's MAX platform to mitigate this downturn. Core recommendations include: (1) Focus on impression fill by optimizing waterfall CPMs around price points that fill most often, removing high non-filling CPMs, and leveraging Auto CPM for real-time pricing adjustments against bidding networks.
(2) Diversify demand by adding new ad networks to close performance gaps, especially in underperforming regions or formats, and A/B test new partners. (3) Update network integrations and SDKs to benefit from new campaign types and fix technical issues. (4) Revisit content categories and blocklists to remove unnecessary restrictions that may limit revenue.
(5) Continuously A/B test these strategies to validate changes before full rollout. Additionally, the article advises maintaining or even increasing user acquisition (UA) spend during the slump, as lower market competition can reduce UA costs, and test creative strategies to attract new users. It cites insights from Alice Liu, VP of Product at AppLovin, emphasizing the importance of understanding user data to identify demand gaps.
The article concludes that these tactics, when combined with systematic testing, can help developers maximize revenue and growth in Q1.
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.
In-app bidding is transforming mobile monetization by enabling publishers to increase revenue through automated workflows and access to over 20 in-app bidders. Key insights include using A/B testing to evaluate performance, optimizing eCPM by adding demand partners based on geo and format, and leveraging platforms like MAX for automation. The shift to bidding reduces manual work and boosts ARPDAU.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
Effective creator campaigns ditch scripts, use natural hooks, apply trends strategically, and choose right communities. 47% value authenticity, 64% buy after seeing creator ads. Key: let creators speak naturally.
Sensor Tower's Churn Analysis tracks new, retained, and resurrected users to understand mobile app churn. Different categories have varying churn rates, e.g., social media apps like Instagram have low churn, while retail apps like Etsy have higher churn. This tool helps optimize user retention strategies.
Google bidding is now available to all MAX publishers, offering unified auction benefits. Key advantages include improved ad revenue via real-time competition among 20+ bidders, reduced manual operations with one-click setup, less technical overhead through single network call, and expert support. As a top bidder, Google's demand drives higher ARPDAU and LTV, enabling efficient user acquisition.
Unity Vector expands its ROAS suite with D28 Ad Revenue ROAS and D28 Hybrid ROAS campaigns, enabling advertisers to optimize for long-term user value across ad-only and hybrid monetization models. Closed beta results show significant lifts in retention and ARPU compared to D7 campaigns: D28 Ad Revenue ROAS achieved up to +62% median D28 retention uplift and +68% ARPU uplift; D28 Hybrid ROAS saw +76% retention and +41% ARPU uplift. This completes Unity's D28 ROAS offering alongside existing IAP ROAS, allowing advertisers to target users whose value builds beyond the first week.
Ad monetization is a critical yet often overlooked revenue stream for mobile apps. Sensor Tower's new reports provide granular data on ad revenue, network performance, and ad formats. Key insights: 72% of top-grossing games use hybrid IAP+ad strategies, and ad revenue is growing across verticals like News, Ecommerce, and Entertainment. The reports enable benchmarking competitors' ad revenue, ARPMAU, and ads per minute, identifying effective networks, and evaluating acquisition targets using total revenue (IAP+ads). These insights help app developers optimize monetization strategies and maximize profits beyond in-app purchases.
The blog highlights the strategic rationale for a TikTok merger, emphasizing the performance advertising gap where TikTo...
The article examines how identifiers like those from Google and Facebook flow across e-commerce sites via standard integ...
AppLovin explains its AI-driven advertising platform, Axon 2, which has quadrupled ad spend to a ~$10B run rate. The eng...
AppLovin CEO Adam Foroughi refutes a short report questioning its e-commerce ad business and pixel practices. He highlig...
User acquisition on a budget is achievable through a mix of organic and low-cost paid strategies. Key tactics include op...
Performance issues like crashes and slow load times directly reduce user retention and LTV. With 60% of users uninstalli...