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.
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.
One person built, shipped, and marketed a mobile game in 14 days using AI tools, achieving 5,563 installs at $0.39 eCPI on $2,200 spend. MCPs (Model Context Protocol) were critical for agentic workflows. The AI agent CLAW managed ad campaigns via AppsFlyer MCP and BigQuery. Data Locker streamed raw data for analysis. Key takeaway: vendors must offer MCPs for fast, agentic data access; measurement stack (Data Locker, ROI 360, Creative Optimization) is essential for solo teams; human+AI beats AI alone.
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.
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.
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