You or your team probably spend way more time and money on managing your contact and customer data than you need to be.
Across sales, marketing and customer success, there's more information to manage than ever, from CRM records to customer activity data. And every hour spent managing this data is an hour spent not driving sales and marketing success.
AI can help.
People.ai uses AI to automatically capture contact and customer data, dynamically update CRM and other systems, and deliver intelligence you can use to sell and market better.
We talked to People.ai Director of Digital Demand Generation Tim White to learn more.
In a single sentence or statement, describe your company.
People.ai accelerates enterprise growth using artificial intelligence and machine learning to enable go-to-market transformation.
How does your company use artificial intelligence in its products?
People.ai frees all customer-facing teams — including sales, marketing, and customer success — from manual data entry by automatically capturing all contact and customer activity data, dynamically updating your CRM and other systems of record, and providing actionable intelligence across management tools to realize the full selling capacity of the enterprise.
What are the primary marketing use cases for your AI-powered solutions?
Targeting the most ideal B2B prospects online with omni-channel digital marketing campaigns.
What makes your AI-powered solution smarter than traditional approaches and products?
Our B2B2C Identity Graph layers non-professional and business data to give a full view of your target customers, and a greater ability to find them online with paid social media and display campaigns.
Who are your ideal customers in terms of company size and industries?
SMB B2B tech companies who are currently spending at least $10,000 in paid advertising per month.
Are there any minimum requirements for marketers to get value out of your AI-powered technology?
Minimum requirements are set by the advertising platforms where our customers will upload their custom audiences. For example, LinkedIn requires a minimum of 300 users in a list.
What do you see as the limitations of AI as it exists today?
Getting human buy-in and prioritization as part of their tech stack and goals — and helping people realize the potential upside of implementing the technology.
What do you see as the future potential of AI in marketing?
AI provides the opportunity for marketers to move from being reactive to proactive, where they don't have to collect analytics and insights, rather it is there as the next best action. For instance, with something as tactical as sales not following up on leads from a webinar, AI systems could suggest a customer cohort that would have the highest business impact and potential.
Any other thoughts on AI in marketing, or advice for marketers who are just starting with AI?
Explore AI, be open to new ideas, and absorb as much content as you can!
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).