Written by: Mariana Fonseca, Editorial Team, DTCROAS
Key Takeaways
- e-Commerce customer acquisition costs (CAC) rose 40-60% from 2023-2025, with average return on ad spend (ROAS) at 2.87:1. Brands now rely on AI-based advertising platforms to protect margins.
- Axon by AppLovin leads with AI-driven ROAS targeting across mobile apps and games, delivering extended attention and driving 90% of purchases from first-time buyers.
- Mobile gaming reaches audiences that social channels such as Meta and Google often miss. Seventy-one percent of users buy the same day they see an ad, and 80% purchase within one hour.
- High-impact features include day-one optimization without ramp-up, incrementality testing, Shopify integration, and AI-based creative tools that save ad teams more than 20 hours each week.
- Diversify your media mix with Axon to reach new, high-value customers and improve ROAS.
How AI Ad Platforms Help e-Commerce Brands in 2026
AI-based advertising platforms now fall into two main groups. Some improve performance inside existing social and search channels, while others open access to new inventory such as mobile gaming apps.
Understanding this split helps e-Commerce teams decide their next move. Brands that feel capped on social channels such as Meta and Google often need fresh audiences. Others first want deeper automation and creative support within their current mix.
The platforms below represent both paths. Together, they show how AI-based advertising can either enhance existing channels or unlock entirely new customer acquisition engines.
Axon by AppLovin is an AI-based advertising platform that helps direct-to-consumer (DTC) and e-Commerce brands acquire new, high-value customers across mobile apps and games. The platform delivers an average of 35 seconds of undivided attention (Axon data) through full-screen video and interactive formats.
Axon targets based on ROAS or cost-per-purchase goals and uses predictive modeling instead of a lengthy ramp-up period. According to Northbeam data, 90% of purchases come from first-time buyers, which signals strong prospecting performance.
Notable case studies include HexClad. The brand achieved more than $1 million in incremental revenue in three weeks and 53% higher ROAS than its largest paid social channel.
While Axon focuses on mobile gaming and in-app inventory, other platforms concentrate on improving performance within traditional social and search environments.
AdScale focuses on automation for channels such as Meta and Google with e-Commerce-specific bidding strategies. The platform uses AI-based automation to manage campaigns across social channels but does not provide access to mobile gaming inventory.
Smartly provides full-funnel automation across multiple channels, including creative optimization and automated bidding. The platform helps brands scale within existing social and search ecosystems rather than opening new inventory types.
AdCreative.ai specializes in AI-generated creative assets. Benchmarks show AI-generated creative delivering a 12% click-through rate (CTR) lift and a 15% cost-per-click (CPC) reduction on Meta platforms. AdCreative.ai focuses on creative production and testing, not on audience expansion.
Albert.ai provides autonomous campaign optimization across channels, using machine learning to adjust bids and budgets. The platform improves performance within existing media buys but does not offer the mobile gaming reach that newer AI-based advertising solutions provide.
Key Features to Evaluate in AI Ad Platforms
Effective AI-based advertising platforms support the full funnel and go beyond crowded social feeds. They create space for longer engagement, richer storytelling, and clearer measurement.
Extended attention is a core advantage. Axon, for example, delivers an average of 35 seconds of focused watch time (Axon data), while social feeds often rely on a one to two second “thumb-stop” moment. Longer attention windows give brands time to explain value, demonstrate products, and build trust.
Beyond capturing attention, platforms must also reach the right audiences. Incrementality and prospecting features are crucial for finding new customers. Look for platforms that can identify and target users who have not previously interacted with your brand.
Many reported conversions on social channels such as Meta and Google come from customers who would have purchased anyway through other touchpoints. Incrementality testing reveals which conversions are truly new. This makes genuine prospecting capabilities essential for real growth instead of recycled revenue.
AI-based ROAS prediction removes the costly ramp-up periods that traditional platforms often require. These solutions use predictive models from day one, instead of slow trial-and-error testing.
Because optimization starts immediately, brands can scale budgets based on live performance data rather than waiting weeks for algorithms to stabilize. This speed matters when CAC is rising and every week of underperformance hurts profitability.
Integration with existing measurement platforms keeps reporting consistent. Connections to tools such as Triple Whale and Northbeam allow unified views across your media mix. Axon offers one-click Shopify integration and comprehensive attribution tracking, which reduces setup work for busy e-Commerce teams.
Creative tools also play a major role. They should support both automated generation and ongoing optimization. AI-generated creative saves ad teams more than 20 hours per week on production and enables five to ten times more creative variations per campaign cycle. This volume of testing helps brands find winning concepts faster.
Test Axon’s ROAS-based targeting and creative tools to see how they perform for your brand.
e-Commerce Use Cases and Proof of Performance
Growth marketers use AI-based advertising platforms to gain clear ROI visibility and reduce manual campaign work. They often pair these platforms with existing social and search investments so channels complement each other instead of competing for the same impressions.
DTC founders look for platforms that keep setup simple and automate most optimization tasks. Axon’s onboarding process, which moves from signup to published ads in less than one hour, directly supports lean teams that lack large in-house media resources.
Real-world results show how AI-based audience expansion can drive incremental revenue. Portland Leather’s marketing director, Matt Fey, shared that “AppLovin has become a trusted partner and a major part of our growth strategy. It’s now one of our largest paid sources of new customers”.
The mobile gaming audience offers a distinct advantage for e-Commerce brands. Eighty percent of purchases occur within one hour of seeing or clicking the ad, which signals high purchase intent and short consideration cycles.
Implementation Steps and Getting Started
Fast deployment helps e-Commerce teams test new channels without heavy operational overhead. The most effective AI-based advertising platforms keep setup focused and structured.
Axon follows three main steps during implementation. First, brands upload existing 9×16 video assets that will run inside mobile apps and games. Second, they integrate tracking pixels so conversions and revenue flow back into reporting. Third, they set ROAS or cost-per-purchase targets that guide the optimization engine.
This sequence ensures the platform has creative to serve, can measure performance accurately, and understands the business goals it should hit.
Common implementation challenges include adapting creative for vertical, full-screen formats and aligning attribution with existing analytics. The short purchase window mentioned earlier, with most conversions happening within an hour, simplifies attribution compared to longer consideration cycles on other channels.
Budget allocation should start conservatively while you test incrementality and channel fit. Top brands allocate 5-25% of weekly total budgets to AppLovin and then adjust daily based on performance data.
Launch your first Axon campaign and trial mobile gaming audiences alongside your current media mix.
How AI Ad Platforms Differ from Traditional Social Advertising
AI-based advertising platforms for e-Commerce provide extended attention and immersive formats compared to social feeds. Social platforms rely on thumb-stopping creative that captures interest in one to two seconds.
Platforms such as Axon instead deliver longer, full-screen experiences inside mobile apps and games. This extended attention, supported by Axon data, gives brands more time to educate, demonstrate, and persuade.
Free AI Ad Platform Options for e-Commerce
Some platforms offer free tiers for creative generation and basic automation. AdCreative.ai, for example, provides entry-level plans that help teams produce and test ad assets.
Access to premium audiences, including mobile gaming users, usually requires paid media investment. Axon operates on a performance-based model where ad spend ties directly to conversions and revenue outcomes.
Timeline for Seeing Results from AI Ad Platforms
AI-based advertising platforms shorten the time to results by using predictive modeling instead of long ramp-up periods. Axon enables immediate optimization and day-over-day budget scaling from launch.
Most conversions occur within hours of ad interaction, which helps teams judge performance quickly and refine budgets without waiting through lengthy test cycles.
Why Mobile Gaming Audiences Work for e-Commerce
Mobile gaming reaches more than one billion daily users who show strong engagement and frequent in-app purchases. These users are comfortable with digital transactions and respond well to relevant product offers.
Seventy-one percent purchase products the same day they see ads, which reflects high intent and fast decision-making. This behavior pattern aligns closely with e-Commerce goals around rapid conversion.
How AI Platforms Support Incrementality for e-Commerce Brands
Advanced AI-based advertising platforms offer prospecting and discovery campaigns that focus on users who have not interacted with your brand before. These campaigns prioritize net-new customers instead of retargeting existing audiences across different channels.
This approach helps ensure that ad spend drives incremental revenue rather than paying again for customers who already planned to buy.
Conclusion
AI-based advertising platforms for e-Commerce represent the next stage of customer acquisition as traditional channels face saturation and rising costs. Effective solutions combine automated ROAS optimization with access to new, high-intent audiences such as mobile gaming users.
Success depends on choosing platforms that provide day-one optimization, deliver true incrementality, and integrate cleanly with existing measurement systems. As channel diversification becomes essential for sustainable growth, AI-based advertising gives modern e-Commerce brands a scalable and efficient way to reach new customers.
Explore how Axon can expand your customer acquisition beyond saturated social channels.
