AiAdvertising is an AI-powered platform that takes the guesswork out of running ad campaigns.
The platform uses AI to predict ad performance and scale hyper-personalized ad campaigns, eliminating waste and delivering results.
We spoke with Kevin Myers, Chief Product Officer and Chief Marketing Officer at AiAdvertising to learn more about this solution for AI in advertising.
In a single sentence, describe AiAdvertising.
AiAdvertising is the first cloud-based Artificial Intelligence-as-a-Service (AIaaS) advertising platform that eliminates guesswork and connects marketing investments to financial outcomes.
How does AiAdvertising use AI?
The Ai Ad Platform uses proprietary machine learning, trained vectors, statistical modeling, and rule-based solutions for structured data, and natural language processing for unstructured data.
What are the primary marketing use cases for your AI-powered tech?
Case studies: https://go.aiadvertising.com/aiad-case-studies.
What makes your AI-powered solution smarter than traditional approaches and products?
The Ai Ad Platform integrates and automates each phase of the advertising process and continues to learn from its performance results.
We enable marketers to predict, scale, and execute hyper-personalized campaigns eliminating waste and breaking performance records. By leveraging AI technology, on average, we can convert what took 24,000 man-hours into less than three days saving time, money, and effort. The platform is customized around their specific KPIs to achieve their specific goals.
Are there any minimum requirements for marketers to get value out of your solution?
Machine learning and AI need significant data signals to optimize results. Therefore, we suggest ad spends of at least $20,000/month combined with a robust CRM, GL, ERP, and/or ecommerce system.
Who are your ideal customers in terms of company size and industries?
Current advertisers who are spending a minimum of $240,000 over a one-year period ($20,000/month) or up to $1.2M per year ($100,000 a month).
What do you see as the limitations of AI as it exists today?
AI is an enabling technology to make predictions and provide scale. The real limitation is within the alignment of people and processes to take advantage of this breakthrough technology and/or understand its capabilities.
The short answer is, we lack the education into the possibilities.
What do you see as the future potential of AI in marketing?
Proving what works, what doesn't, and prescribing what's next.
Any other thoughts on AI in marketing, or advice for marketers who are just getting started with AI?
Align any technology conversation to your expectations of improved performance...be specific.
Paul Roetzer is founder and CEO of Marketing AI Institute. He is the author of Marketing Artificial Intelligence (Matt Holt Books, 2022) The Marketing Performance Blueprint (Wiley, 2014) and The Marketing Agency Blueprint (Wiley, 2012); and creator of the Marketing AI Conference (MAICON).