This episode reveals how Shopify brands can leverage first-party data and machine learning for hyper-targeted customer segmentation, leading to significant growth. It highlights how tools like Segments empower marketers to activate audience data without coding, transforming raw data into actionable insights for profit-driven decisions.
Key takeaways
Implement a no-code data CRM like Segments to unify ecommerce and marketing data for a single source of truth.
Utilize pre-built segmentation features to identify high-value customer groups and personalize marketing efforts.
Focus on activating first-party data for targeted campaigns to achieve 25-50% growth.
Empower marketing teams to be data-driven without relying on extensive technical or coding knowledge.
Leverage machine learning capabilities within analytics platforms to uncover customer insights that drive profitable actions.
In today’s episode, my guest is Richard Harris, the CEO, and Co-Founder of Black Crow AI. Their mission is to help Shopify merchants turbocharge their new customer acquisition, at lower CAC, via machine learning. Using only 1st party data inside Shopify, Black Crow predicts the future value of 100% of your site visitors, in real-time as they shop--how likely they are to purchase, repeat purchase, or subscribe in the future. They activate these predictions for you in any acquisition channel so you can target and bid much more efficiently at scale. Brands are seeing 25-50% more new customers from paid marketing, all at a better CPA.EPISODE SPONSORToday's episode is brought to you by Fast Simon, a leader in AI-powered shopping optimization for Shopify brands. Hosted on Acast. See acast.com/privacy for more information.
