Home
News
Tech Grid
Data & Analytics
Data Processing Data Management Analytics Data Infrastructure Data Integration & ETL Data Governance & Quality Business Intelligence DataOps Data Lakes & Warehouses Data Quality Data Engineering Big Data
Enterprise Tech
Digital Transformation Enterprise Solutions Collaboration & Communication Low-Code/No-Code Automation IT Compliance & Governance Innovation Enterprise AI Data Management HR
Cybersecurity
Risk & Compliance Data Security Identity & Access Management Application Security Threat Detection & Incident Response Threat Intelligence AI Cloud Security Network Security Endpoint Security Edge AI
AI
Ethical AI Agentic AI Enterprise AI AI Assistants Innovation Generative AI Computer Vision Deep Learning Machine Learning Robotics & Automation LLMs Document Intelligence Business Intelligence Low-Code/No-Code Edge AI Automation NLP AI Cloud
Cloud
Cloud AI Cloud Migration Cloud Security Cloud Native Hybrid & Multicloud Cloud Architecture Edge Computing
IT & Networking
IT Automation Network Monitoring & Management IT Support & Service Management IT Infrastructure & Ops IT Compliance & Governance Hardware & Devices Virtualization End-User Computing Storage & Backup
Human Resource Technology Agentic AI Robotics & Automation Innovation Enterprise AI AI Assistants Enterprise Solutions Generative AI Regulatory & Compliance Network Security Collaboration & Communication Business Intelligence Leadership Artificial Intelligence Cloud
Finance
Insurance Investment Banking Financial Services Security Payments & Wallets Decentralized Finance Blockchain Cryptocurrency
HR
Talent Acquisition Workforce Management AI HCM HR Cloud Learning & Development Payroll & Benefits HR Analytics HR Automation Employee Experience Employee Wellness Remote Work Cybersecurity
Marketing
AI Customer Engagement Advertising Email Marketing CRM Customer Experience Data Management Sales Content Management Marketing Automation Digital Marketing Supply Chain Management Communications Business Intelligence Digital Experience SEO/SEM Digital Transformation Marketing Cloud Content Marketing E-commerce
Consumer Tech
Smart Home Technology Home Appliances Consumer Health AI Mobile
Interviews
Anecdotes
Think Stack
Press Releases
Articles
  • Advertising

MAI’s AI Agents Deliver 63% Avg Revenue Growth for D2C Brands in BFCM


MAI’s AI Agents Deliver 63% Avg Revenue Growth for D2C Brands in BFCM
  • by: Source Logo
  • |
  • December 9, 2025

MAI.co, the AI-agent platform that autonomously optimizes Google Ads for direct-to-consumer brands, announced that its customers achieved an average 63% year-over-year revenue increase during the 2024 Black Friday/Cyber Monday period. Several brands recorded more than six times growth, powered by MAI’s reinforcement-learning agents that operated 24/7 throughout the critical shopping weekend.

Quick Intel

  • MAI customers averaged 63% YoY revenue growth during BFCM 2024.
  • Some brands achieved over 6X year-over-year revenue increase.
  • AI agents reviewed 39.1 campaigns and executed 32.4 optimizations per client daily.
  • Real-time adjustments far exceed manual agency or in-house capabilities.
  • Agents detected site issues faster than internal monitoring tools.
  • Brands scaled profitable spend 2–3X while maintaining or improving ROAS.

Autonomous AI Agents Redefine Peak-Season Performance

During one of the most demanding periods in ecommerce, MAI’s autonomous agents continuously analyzed performance data, adjusted bids, reallocated budgets, and refined targeting in real time. This relentless optimization enabled brands to capture surging demand without sacrificing profitability, even as competition and cost-per-click spiked.

Unlike traditional performance marketing agencies or manual in-house teams that struggle to keep pace during holiday surges, MAI agents operate with speed, precision, and scalability that human operators cannot match. The result: brands maintained strong ROAS while dramatically increasing spend and revenue.

"We onboarded MAI ahead of Black Friday with the goal of scaling our profitable spend," said Daehee Park, CEO of Boring Mattress. "We increased our results by maintaining strong performance while tripling daily spend. Beyond the numbers, the transparency provided through daily updates has been incredibly valuable, giving us clear insight into how the agents are making optimization decisions."

"Google is our only marketing channel, and MAI played a key role in delivering 110% year-over-year revenue growth over Black Friday," said Mike Bires, CEO of NutritionFaktory. "They've been able to continuously scale our profitable spend by allocating budget the right way across the thousands of products in our catalog."

Beyond Optimization: Real-Time Vigilance and Team Extension

MAI agents also serve as an always-on monitoring layer. During BFCM, they identified critical issues—such as sudden conversion drops caused by website errors—faster and more accurately than many clients’ own internal systems, enabling rapid resolution and protecting revenue.

"We onboarded with MAI in October with the goal of driving performance," said Avi Arora, COO of Italic. "MAI did this and so much more. During Black Friday they felt like a part of our team. Incredibly responsive, helping us understand where to push and where to pull."

"Our core mission is to bring advanced data science and machine learning capabilities, historically reserved for large enterprises, to growth-stage businesses," said MAI.co co-founder and CEO Yuchen Wu. "With our autonomous AI agents, MAI solves the 'toothbrush problem' – the constant, tactical need to manually check your performance marketing numbers as often as you brush your teeth. This frees human operators and marketers to concentrate on strategy, product, and messaging, while our agents do what AI does best: instantly detect trends and anomalies, and make sophisticated, dynamic adjustments with a speed and accuracy that humans simply cannot match."

By democratizing enterprise-grade AI previously available only to tech giants, MAI continues to level the playing field for D2C brands competing in an increasingly algorithmic advertising landscape.

 

About MAI 

MAI drives revenue for direct-to-consumers brands with AI agents that optimize Google Ads, replacing traditional ad agencies or manual campaign operations. MAI's agents connect to your commerce and marketing data and manage campaigns end-to-end to turn data into growth so you can focus on building your business, not babysitting ads. MAI's agents level the playing field for small and medium businesses with the same kind of AI technology used by the world's most advanced platforms like Google, Amazon, and Netflix. Before starting MAI, co-founders Yuchen Wu and Jian Wang spent more than a decade at Google and Instacart building machine-learning systems and overseeing billions in ad spend. MAI is backed by Kleiner Perkins and fuels growth for companies like NutritionFaktory and Velotric.

  • AI Google AdsPerformance MarketingAutonomous AgentsMARTECH
News Disclaimer
  • Share