How far along is automation for video assets and where it could be in 12-18 months.

Still early. Gaming companies run tens of thousands of ads, e-commerce in hundreds. Piloting generative AI for interactive ad pages with 100+ customers, rolling out soon. Video model to go live next. Aims to lower ad creation costs significantly. “generative AI tools to build creatives in a really low-cost way in an automated way is on the way. We already have in a pilot with over 100 customers, generative AI-based tools for one part of the ad unit.”

How investors can understand and extrapolate the e-commerce growth given the 'black box' nature and lack of PxQ model.

It's hard to predict now due to early stage and hyper-growth. Currently referral-based, but testing advertising with 30-day LTV to CAC breakeven. Will scale marketing once conversion funnel is optimized. “We're seeing somewhere around day 30 LTV to cost of user acquisition... to be able to break even on the media buy in 30 days is exceptional.”

How business would be affected if consumers interface with internet via natural language agents (3-5 years out), and how mobile game developers would adapt.

LLMs will enable easier game creation, leading to content explosion, making discovery platforms like AppLovin more valuable. Mobile gaming audience (older, female, casual) unlikely to shift to chatbots. LLMs increasing productivity could lead to more leisure time for games. “as you get more content, that content becomes commoditized, the discovery platforms, of which there are very few become the true value because those customers are going to have to come to MAX to monetize and they're going to have to come to our discovery platform to run advertising to get users to their space.”

APP

AppLovin (APP) Q4 FY25 earnings call: guidance and Q&A

Earnings call· Dec 2025 (Q4 FY25)· Information Technology· Feb 11, 2026

Source: earnings call transcript

Executive summary

AppLovin Q4 FY25 — Record Growth, Profitability, and Capital Returns Driven by AI Models and E-commerce Expansion

AppLovin delivered record Q4 and full-year 2025 results, showcasing hyper-growth, exceptional profitability, and robust free cash flow generation, largely fueled by its proprietary AI models and expanding e-commerce initiative. Despite market skepticism surrounding AI and competition, management emphasized the platform's strong execution, network effects, and long-term opportunity in content discovery, while maintaining disciplined capital returns.

Highlights

Q4 revenue grew 66% YoY to $1.66 billion, driven by technology advancements, seasonal strength, and e-commerce.
Adjusted EBITDA increased 82% YoY to $1.4 billion, representing an 84% margin, expanding over 700 bps YoY.
Free cash flow for Q4 was $1.31 billion, up 88% YoY, contributing to a $2.5 billion cash balance.
Full-year 2025 revenue reached $5.48 billion (up 70% YoY) and adjusted EBITDA was $4.51 billion (up 87% YoY) at an 82% margin.
Repurchased $482 million of shares in Q4 and $2.58 billion for the full year, reducing diluted shares outstanding from 346 million to 340 million.

Concerns

Market sentiment disconnect regarding AI and competition challenges, despite strongest operating performance in company history.
Market skepticism regarding Meta's potential impact on the in-game ad environment and the 'black box' nature of the model.

Guidance & targets

Category	Target	Timeline	Confidence
Revenue	$1.745 billion and $1.775 billion high materiality	Q1 · FY26	High
Adjusted EBITDA	$1.465 billion and $1.495 billion high materiality	Q1 · FY26	High
Adjusted EBITDA Margin	approximately 84% high materiality	Q1 · FY26	High

Product announcements

Product	Type	Timeline
Generative AI tools for interactive ad pages	launch	soon
Generative AI tools for video	roadmap	shortly
Prospecting campaigns	launch	Q4 FY25

Risks & headwinds

Market sentiment disconnect regarding AI and competition challenges past few weeks

recent volatility in stock price

Mitigation:Focus on maximizing value over the long term, execution, and letting results speak. Internal AI models are fueling strongest operating performance.

Competition from other companies, particularly Meta, potentially disrupting AppLovin's business Ongoing / future

Unquantified, but discussed as a significant market concern.

Mitigation:AppLovin's strong value proposition, network effects, and superior advertising tools. MAX auction benefits from competition. Meta is a long-time partner and bids on IDFA traffic; AXON 2 model is dominant and built for the ecosystem. Publisher terms prevent first-look inventory.

'Black box' nature of the model making it hard for investors to understand and extrapolate growth Current

Unquantified.

Mitigation:Acknowledged difficulty due to early stage of e-commerce. High LTV to CAC in testing, focus on optimizing conversion funnel and scaling marketing.

Q&A highlights

Learnings from self-service launch, what worked/didn't, room for improvement, and quantification of e-commerce revenue contribution.

Self-service is referral-only, GA in H1 2026. Existing customers saw material spend increases due to model improvements. New customers from referral program show strong trends. Company will not break out e-commerce revenue due to unified platform.

“We're not going to do that because we think of our platform as a unified platform. Let's say, tomorrow, the engineering team improves the gaming model 50%. Well, e-commerce would go down, but the business would be ripping.”

asked by Benjamin Black · answered by Adam Foroughi

3 min read 7 chapters

Detailed narrative

AI and Competition Strategy

Adam Foroughi addressed market skepticism regarding AI and competition, stating that the company's internal AI models are fueling its strongest operating performance. He highlighted that competition forces innovation and that the MAX auction benefits from increased bid density, expanding the pie even if AppLovin's share shrinks, as they charge a 5% fee to winning bidders for low-value impressions.

The company believes its network effects and strong value proposition make it resilient against new entrants.

E-commerce Self-Service Launch and Performance

The e-commerce business, live for 1.5 years, opened its self-service platform in Q4 2025 on a referral-only basis, with a general availability (GA) launch on track for H1 2026. Existing e-commerce customers saw material spend increases due to continuous model improvements.

New customers from the referral program also showed strong trends. The company does not break out e-commerce revenue, considering its platform a unified entity where model improvements in one area can benefit others.

Generative AI for Ad Creation

AppLovin is still in the early stages of automating ad creation. While top gaming companies run tens of thousands of ads, e-commerce companies currently run only hundreds. The company is piloting generative AI tools for interactive ad pages with over 100 customers, with plans to roll out video generation tools shortly.

This initiative aims to significantly lower ad creation costs from thousands of dollars to just dollars, thereby increasing the volume and competitiveness of ads for new customers on the platform.

Long-term Vision for Mobile Gaming and AI

Management believes AI will dramatically lower content creation costs, leading to an explosion of content and making discovery a scarce resource. AppLovin's models are designed to efficiently match users to content, leveraging AI to enhance this capability. They see no evidence of a declining mobile gaming market, particularly for casual games, and view the current low impression conversion rate as a large long-term opportunity as their models continue to improve.

MAX Auction Dynamics and Moat

The MAX auction, a foundational component of the ecosystem, benefits from increased competition, which improves publisher monetization and user acquisition. AppLovin's model excels at valuing impressions, often profiting by charging a 5% fee on impressions won by competitors that AppLovin values less.

The company's moat extends beyond its mediation technology to its superior advertising solutions, which are crucial for publishers' growth and user acquisition, creating a sticky 360-degree solution.

Marketing Investment and LTV to CAC

AppLovin is currently testing marketing for its AXON platform, observing an exceptional 30-day LTV to cost of user acquisition breakeven. The company is not rushing to scale marketing efforts until its conversion funnel and generative AI content creation tools are fully optimized.

The goal is to improve the qualified lead-to-live advertiser conversion rate from 57% closer to 100% before a broader GA launch, ensuring efficient and impactful growth.

Model Improvements and Data Penetration

The company's AI models are continuously improving through internal and external research. While the gaming model is mature with high data penetration, the e-commerce model is at an earlier stage with less data. Every new advertiser that pixels their site provides valuable engagement and transactional data, which acts as a significant catalyst for improving predictions in the e-commerce category.

This incremental data is expected to drive substantial growth as the platform expands.

Summary of the company's earnings call; see how call summaries are prepared. Not investment advice.