In this episode, our host Eitan Koter joined by Naama Manova-Twito, co-founder and CEO of MarkeTeam.ai, a groundbreaking company that has created the world’s first fully autonomous AI marketing team. With over 24 years of experience in the marketing industry, Naama brings a deep understanding of the challenges and opportunities marketers face today. She explains how MarkeTeam.ai assigns a team of specialized AI agents to handle various marketing functions, including social media, SEO, and content creation, freeing up valuable time and resources for businesses.
Naama discusses the strategic approach of MarkeTeam.ai, emphasizing the importance of balancing organic and paid media efforts. She highlights how their AI platform can quickly adapt to changing market conditions and provide tailored recommendations to optimize marketing budgets and achieve better results. We also explore the collaborative nature of their AI agents, which work together to generate creative solutions and drive performance.
This episode offers a fascinating look at the future of marketing, showcasing how AI can transform the way businesses plan and execute their strategies. Join us now and discover how MarkeTeam.ai helps companies navigate the complex marketing landscape with cutting-edge technology.
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Guest: Naama Manova-Twito, co-founder and CEO of MarkeTeam.ai
LinkedIn: https://www.linkedin.com/in/naama-manova-twito-7b634b13/
MarkeTeam.ai – https://www.marketeam.ai/
Takeaways:
- Marketing .ai is a fully autonomous AI marketing team that helps marketers and small teams achieve big results with fewer resources.
- The platform connects to various data sources and uses a domain-specific foundation model to provide recommendations and strategies for different marketing channels.
- The AI agents in the platform work collaboratively with users, allowing for a multi-human, multi-agent chat experience.
- The platform is gradually releasing new agents and features, with the social media agent already available.
Chapters:
00:00 Introduction to Marketing .ai
02:25 Collaborative AI Agents
06:09 Data Sources and Decision-Making
08:29 Budgeting and Resource Allocation
10:47 Customizing Strategies and Recommendations
12:26 User Experience and Engagement
15:07 Building Trust and Empowering Users
19:35 Integration of AI in Operations
21:33 Rewarding Successful Implementation
23:22 Training Models and Data Management
25:20 Marketing Throughput and Content Strategy
28:17 Balancing Focus and Diversification
29:17 Rollout of New Agents and Features
31:31 Challenges and Resilience
32:25 Fun Fact: Baking to Destress