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.
TikTok for Business is promoting tiered first-30-day ad credit incentives for new self-serve SMB advertisers: spend $100 get $100, $500 get $500, or $1,500 get $1,500 plus 1-to-1 expert onboarding support, with a headline entry offer of 50% off first-month spend up to $200 and matching credits up to $6,000. Credits are applied within 7 days of hitting the highest threshold or after the 30-day accumulation window. Eligibility excludes agency, Business Center, and TikTok Shop accounts, and limits one ad account per new TikTok For Business account. For ad ops teams, these terms dictate budget pacing, account structure, and credit-expiry planning.
This TikTok for Business landing page promotes a limited-period new-advertiser incentive program offering up to USD 6,000 in matched ad credits. Three self-serve tiers are presented: 50% off first 30-day spend (up to $200), dollar-for-dollar match up to $500, and match up to $6,000. A separate headline offer advertises Spend $100/Get $100, Spend $500/Get $500, and Spend $1,500/Get $1,500 plus 1-to-1 expert onboarding support. Registration requires email or phone sign-up with 2-step verification. Eligibility is restricted to new SMB self-serve accounts, excluding agency, Business Center, and TikTok Shop accounts; credits post within 7 days of hitting the highest threshold or after the 30-day window.
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.
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.
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...