AI can save you money, and time.
According to McKinsey’s Global Survey, implementing can save at least 10% of marketing costs.

However, adopting AI as part of your decision making process is challenging. It carries not only a technical challenge, but it requires a cultural shift inside organizations as well.
For these reasons many companies have postponed their AI projects for more suitable times.

Those times have arrived.

Today the strategy for user growth is shifting towards more profitable, efficient initiatives. AI can help with that. From measuring impact, to optimizing resources, predictive analytics can help you predict outcomes and get valuable insights to make smarter decisions.

The goal of this guide is to help marketers understand how the marketing ecosystem is implementing AI and how you can use AI to increase efficiency and save money in your marketing operations.

The AI Whitepaper comes in three. We are releasing Part I now and will share Part II and III over the following weeks. 

In this Part I you will learn:

• Trends about the use of AI in marketing
• What AI actually is and why it matters for marketers
• Understand when is the right time to approach AI

Part II and III will cover implementation aspects and best practices to get you started. 
You will learn about Building Blocks of AI, getting the right team to work with AI, use cases and best practices.

Overall, you will find insights from CMOs, Growth Managers, AI Engineers, and Heads of Product from a diverse group of companies. From E-commerce, Fintech apps, to marketing agencies, DSPs and others.
They are marketing people that share similar pains and are passionate about solving them with the help of AI.

We want you to be one of those people too.