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Marketing artificial intelligence is the science of making marketing smart.
AI is forecasted to have trillions of dollars in annual impact, yet most marketers struggle to understand what it is and how to apply it to their marketing.
The marketers who take action have the opportunity to create a significant and sustained competitive advantage for themselves, and their businesses. AI enables marketers to:
Reduce costs by intelligently automating repetitive, data-driven tasks.
Drive revenue by improving your ability to make predictions.
So how do you get started? Prioritize use cases, and identify smarter technology solutions that will help you pilot and scale AI in your organization.
Marketing AI Institute has teamed up with Drift for another year to gain unparalleled insights into the awareness, understanding and adoption of AI throughout the marketing industry.
By completing this assessment, your anonymized responses will become part of this groundbreaking research, and you will get early access to the findings, one week before the public release of the 2022 State of Marketing AI Report (coming June 2022).
This year's report will build on the data collected from more than 400 marketers in 2021.
Thank you for contributing your time and experiences, and helping us continue to pursue our mission of making AI approachable and actionable for marketing leaders.
The 5Ps is a framework we devised to help visualize and organize use cases and the marketing AI technology landscape.
The framework will evolve as the market shifts and as we develop a deeper understanding of AI and its implications on the industry. But, for now, hopefully it helps you better comprehend the vast potential of AI to enhance your capabilities as a marketer.
Our mission at the Marketing Artificial Intelligence Institute is to make AI approachable and actionable for marketers. In order to do that, we have to be able to answer the number one question we hear:
"How do we get started with AI?"
Your responses to AI Score for Marketers help you prioritize which use cases to focus on (e.g. email send-time optimization, landing page A/B testing, creating data-driven content) and enable us to make personalized recommendations on AI-powered software solutions.