Moby Demo | Triple Whale

AJ Orbach, co-founder of Triple Whale, introduces a groundbreaking innovation in data analytics and AI for e-commerce. The new generation of Triple Whale aims to transform business experiences with data by leveraging large language models and first-party data collection. Orbach demonstrates how the platform can analyze ad creatives, provide insights into customer personas, and generate new ad copies with emojis. The system also offers a powerful data retrieval system, enabling users to access instant answers for business scaling. Additionally, the platform can forecast revenue and ROAS, suggesting ad strategies and inventory management. This tool is designed to save time and resources while empowering businesses to achieve their goals through advanced AI technology.

Takeaways

• 🚀 Triple Whale is launching a next-generation platform that integrates data analytics, artificial intelligence, and e-commerce to redefine business experiences with data.
• 🤖 AI, specifically large language models like chat GPT, is poised to help businesses scale by providing insights and automating tasks beyond simple jokes or poems.
• 💡 The platform aims to solve the problem of data overload and the inability to leverage the right data effectively, which is a challenge for both small and large businesses.
• 🛠️ The innovation requires a radical rethinking of data processing, first-party data collection, and large language model innovation to unlock the potential of data and AI.
• 📈 Triple Whale's focus has been on building a unified data language for e-commerce, infusing first-party data, and innovating at the cutting edge of the AI revolution.
• 🔍 The platform introduces a powerful large language model that provides the most accurate data retrieval system, enabling instant access to any answer needed to scale a business.
• 🧠 The AI acts as a new team member capable of reasoning with your data, offering recommendations, and collaborating with you in decision-making.
• 📊 A use case demonstrated involved using the AI to analyze ad creatives, understand customer personas, and generate new ad copies with emojis.
• 📈 The platform can save sequences of queries and actions, allowing users to automate and repeat complex analyses and tasks.
• 📊 A dashboard was showcased that consolidates different attribution models, with the AI helping to determine which campaigns to scale up or down based on performance across models.
• ⏱ The AI can forecast future revenue and ROAS based on historical data, providing insights for ad strategy, inventory management, and other business decisions.
• 🌟 The AI's capabilities are just the beginning, and as it becomes more powerful, Triple Whale aims to ensure businesses have access to the most advanced tools for success.

Q & A

What is the significance of the occasion mentioned by AJ Orbach at the beginning of the transcript?

The occasion is significant because it represents the convergence of data analytics, artificial intelligence, and e-commerce. AJ Orbach highlights the potential of AI to transform businesses beyond just telling jokes or writing poems, aiming to help businesses make more money through advanced data utilization.

What are the challenges faced by small and large businesses in leveraging data for their growth?

Small businesses suffer from data overload and lack the knowledge on how to leverage the right data to scale. Larger businesses, while not spared, face challenges with a disjointed toolkit for data collection, data warehouses, complex ETL processes, and analytical tools, which are costly and cumbersome. The main issue is the lack of cohesion and a common definition for data points, making it difficult to effectively utilize large language models.

What are the three main ambitions of Triple Whale's innovation in the context of AI and data?

The three main ambitions are: first, to build a unified data language for e-commerce, making it accessible for AI; second, to infuse first-party data into every facet of a business; and third, to innovate at the cutting edge of the AI revolution.

How does the new large language model for e-commerce that Triple Whale is unveiling benefit users?

The new model provides the most accurate data retrieval system globally, giving users instant access to any answer they need to scale their business. Additionally, it acts as a new team member capable of reasoning with the user's data, providing recommendations, and thinking collaboratively.

What is a use case that AJ Orbach finds particularly compelling about the new AI system?

AJ Orbach finds the ability to analyze ad creatives for Madison Braids compelling. The AI can pull up the top 10 highest spending creatives, provide metrics around them, and even break down the personas of the store using the ad copy. It can also generate new ad copies with emojis based on specific personas.

How does the AI system assist in planning the future for businesses?

The AI system uses historical revenue and ROAS data to forecast future trends, allowing businesses to predict their revenue months in advance. It provides insights into ad strategy, inventory management, and other areas, helping businesses to plan and prepare accordingly.

What is the benefit of having a unified data language in the context of AI?

A unified data language allows for seamless interaction between AI systems and e-commerce platforms. It enables the AI to understand and process data more effectively, leading to more accurate and actionable insights for businesses.

How does infusing first-party data into every facet of a business help in decision-making?

Infusing first-party data ensures that all business decisions are based on direct, reliable, and proprietary information. This leads to more informed and effective decision-making, as the business has a comprehensive understanding of its customer base, preferences, and behaviors.

What does AJ Orbach mean by 'breaking free from conventional paradigms' in the context of data utilization?

AJ Orbach refers to moving away from traditional methods of data management and analysis that are often fragmented and inefficient. This involves rethinking how data is collected, processed, and used in decision-making to better leverage the potential of AI.

How does the AI system help in saving time and resources for businesses?

The AI system automates the process of data analysis and decision-making, providing instant access to reports and recommendations. It saves time by eliminating the need for manual data parsing and allows businesses to allocate resources more effectively based on accurate forecasts and insights.

What is the potential impact of the AI system on the success of a business?

The AI system has the potential to significantly impact a business's success by providing accurate data retrieval, automating tasks, offering strategic recommendations, and enabling better planning for the future. It empowers businesses to scale to new heights by making the most of their data and AI capabilities.

How does the AI system's ability to generate new ad copies and analyze personas benefit a business?

The AI system's ability to generate new ad copies and analyze personas allows businesses to create targeted and effective marketing campaigns. It saves time and resources by automating the creative process and ensures that marketing efforts resonate with the intended audience.

Outlines

00:00

🚀 Launch of Triple Whale's AI-Powered Data Analytics

AJ Orbach, co-founder of Triple Whale, introduces a revolutionary innovation at the crossroads of data analytics, artificial intelligence, and e-commerce. The launch aims to transform businesses by leveraging AI's potential to increase profitability. Traditional challenges such as data overload and the high cost and complexity of data management tools are addressed. The solution involves a radical rethinking of data processing and collection, integrating first-party data, and utilizing large language models. The result is a system that not only provides instant data retrieval but also acts as a new team member capable of reasoning with data, offering recommendations, and collaborative thinking to help scale businesses.

05:02

📈 AI-Enhanced Decision Making and Forecasting

The video script showcases the practical application of Triple Whale's AI system in various business scenarios. It starts with a use case of optimizing ad creatives for Madison Braids, a brand that AJ and Max worked on. The AI system, referred to as 'Mobi', is demonstrated to pull up detailed reports on ad performance and even generate new ad copies with personalized personas and emojis. Additionally, the script highlights the AI's capability to analyze attribution models and provide actionable insights on campaign optimization. Furthermore, Mobi is used to forecast future revenue and ad spend based on historical data, offering strategic recommendations for inventory management and ad strategy. The AI's predictive analytics are shown to be highly accurate, promising significant time and cost savings for businesses. The narrative emphasizes the empowerment of businesses through advanced AI tools and the continuous evolution of these capabilities.

Keywords

Data Analytics

Data analytics refers to the process of examining raw data with the goal of drawing insights and making informed decisions. In the context of the video, data analytics is crucial for understanding consumer behavior and business performance, which is then used to inform strategies for scaling businesses.

Artificial Intelligence (AI)

Artificial Intelligence is the field of computer science that emphasizes the creation of intelligent machines capable of performing tasks that typically require human intelligence. In the video, AI is highlighted as a transformative technology that can analyze large datasets, predict trends, and generate creative content, thereby enhancing business operations.

E-commerce

E-commerce, short for electronic commerce, involves the buying and selling of goods or services using the internet, and sometimes the transfer of funds online. The video discusses how AI and data analytics can revolutionize e-commerce by providing personalized insights and automating tasks to improve business efficiency.

First-Party Data Collection

First-party data is information collected directly from customers through their interactions with a company's owned channels, such as websites or mobile apps. The video emphasizes the importance of first-party data for personalizing marketing strategies and making data-driven decisions to scale a business.

Large Language Model

A large language model is a type of AI that processes and understands human language at scale. In the script, the large language model is used to retrieve accurate data, provide recommendations, and generate creative content, which is a significant advancement for e-commerce businesses.

Data Overload

Data overload occurs when an individual or organization has more data than it can effectively manage or analyze. The video mentions that small businesses often suffer from data overload, not knowing which data to leverage for growth, which is a problem that the new AI technology aims to solve.

Unified Data Language

A unified data language is a standardized approach to defining and using data within an organization. The video script discusses the creation of a unified data language for e-commerce as a foundational step to enable AI to access and utilize data effectively.

Attribution Models

Attribution models in marketing are used to determine how credit for sales or conversions should be allocated to the different touchpoints in a customer's journey. The video demonstrates how AI can analyze these models and recommend which campaigns to scale up or down, optimizing marketing spend.

Inventory Management

Inventory management involves the processes of ordering, storing, and using a company's stock of goods. The video script illustrates how AI can forecast future demand and sales, helping businesses manage their inventory more effectively and avoid overstock or stockouts.

Ad Strategy

Ad strategy refers to the planning and implementation of advertising campaigns. In the context of the video, AI is shown to analyze ad performance, recommend scaling strategies, and even generate new ad copies, which can significantly improve the effectiveness of ad campaigns.

Forecasting

Forecasting is the process of predicting future events or conditions based on past and present data. The video demonstrates how AI can use historical data to forecast revenue and sales, providing business owners with valuable insights to plan for the future.

Highlights

AJ Orbach, co-founder of Triple Whale, introduces a new generation of AI-driven data analytics and e-commerce innovation.

The launch aims to redefine the experience with data, potentially transforming businesses through AI.

A radical rethinking in data processing, first-party data collection, and large language model innovation is required for this leap.

Small businesses often suffer from data overload and lack of knowledge on leveraging data to scale.

Large businesses struggle with the cost and complexity of disjointed data collection and analytical tools.

The challenge lies in the lack of cohesion and common definition for data points, hindering effective large language model utilization.

Triple Whale's mission is to empower businesses to scale using data and AI.

Since 2021, Triple Whale has focused on building a unified data language for e-commerce and integrating first-party data.

The company has unveiled a powerful large language model for e-commerce, fine-tuned for the most accurate data retrieval system.

Instant access to any answer needed to scale a business is now possible with this new model.

The AI acts as a new team member, capable of reasoning with data, providing recommendations, and collaborative thinking.

A use case demonstration involves pulling up creatives for Madison Braids and analyzing ad performance.

The AI can break down personas of a store using ad copy and generate new ad copies with emojis.

AI sequences can be saved for later use, streamlining the process of data analysis and decision-making.

Triple Whale provides accurate information on attribution with various models, making it easier to choose the right one.

A dashboard showcasing different attribution models helps in understanding which campaigns to scale up or down.

Planning for the future involves forecasting revenue and ROAS based on historical data, guiding ad strategy and inventory management.

The AI suggests strategies for the next 6 months to a year, including ad budget adjustments and inventory planning.

The tools aim to empower businesses to become more successful, with AI becoming increasingly integral to scaling operations.