Apptivate: App Marketing Explained Getting Started with AI for eCommerce App Marketers - Lana Dubinskiy
Lana Dubinskiy is an app product advisor and full-time consultant specializing in helping brands leverage AI and machine learning to optimize their workflows and increase revenue. In this episode, Lana breaks down how e-commerce brands can improve the customers’ shopping experience in their app using AI, and how to get started with the AI journey!
Questions Lana answered in this episode:
- What types of organizations have you assisted in the past?
- How do e-commerce brands get started with using AI and machine learning to enhance the customer experience?
- What are you looking for when reviewing an app’s data to develop target goals for your clients?
- How personalized can you get with AI?
- How long does it take to start and launch an AI marketing initiative?
- How do you advise on measuring the impact of AI on a business?
- What eCommerce brands are using AI well?
- What are three pieces of advice you have for mobile marketers interested in getting started with their AI journey?
Timestamp:
- 1:07 Lana’s background
- 3:08 Getting started with AI and machine learning
- 4:14 Crafting data-driven goals for improving customer experiences
- 5:50 Getting personal with AI
- 8:38 What’s the quality of your data?
- 10:30 The holy grail of measurement
- 11:55 Why Amazon kills the AI game
- 14:52 Three takeaways for starting your AI journey
Quotes:
(4:45-5:08) “We can use AI to personalize a user’s experience before they even search for anything. From the moment they land on the marketplace page, it’s already customized to what you know about the customer. That makes a big difference. You want them to have a certain connection and make them feel like this place will have what they’re looking for the moment they get there.”
(8:49-8:57) “A lot of companies are forced to become data-driven once they start using AI because your output will only be as good as your input.”