This episode uncovers how understanding customer intent, beyond traditional attribution models, is the missing link for optimizing both your marketing spend and conversion rates. Ecommerce operators will learn to identify and leverage qualitative data to truly understand why customers buy, or don't buy, leading to more effective strategies and increased profitability.
Key takeaways
Traditional attribution models often miss the 'why' behind customer purchases; integrate qualitative data to understand intent.
Implement conversion rate optimization (CRO) strategies that are informed by customer journey analysis, not just last-click data.
Focus on identifying and optimizing key friction points in the customer experience by understanding user behavior patterns and motivations.
Leverage surveys, user testing, and feedback loops to gather direct insights into customer intent and pain points.
Align marketing efforts and website optimizations with the customer's true buying intent to improve ROAS and conversion rates.
In some ways, we know everything and nothing about our customers at the same time. We have mountains of data at our fingertips for every customer interaction. But we can’t see our customers. We don’t really know what they love, why they buy, or what they’re into—even insights into why they bought from us or how they first learned about us are muddy. Even when we think we know, our view is incomplete. That’s where KNO Commerce comes in. Sure, you have a few different attribution tools. They can be helpful but also confusing. And they have biases. Sure, you know conversion rate optimization best practices, but every brand and every customer is slightly different. Getting customer insights through post-purchase or abandon cart surveys can provide clarity into what your attribution or CRO data is telling you…or, more importantly, what it’s NOT telling you. The good news is you don’t have to use KNO to get great customer insights. Any survey tool can work. In this episode with KNO Founder and CEO Jeremiah Prummer, we discuss the following:40% of your shoppers buy in less than 1 week of learning about your brand. 60% take longer than 1 week. (This probably contradicts what GA and your attribution tools tell you).The biases in surveys and how to work around them?The biases in the attribution model.How abandoned cart surveys can be a game changer in addition to email flows.What questions to ask your customers for the most actionable insightsAnd More!
Frequently asked about this episode
What does this episode say about attribution modeling?
Traditional attribution models often miss the 'why' behind customer purchases; integrate qualitative data to understand intent.
What does this episode say about conversion rate optimization?
Implement conversion rate optimization (CRO) strategies that are informed by customer journey analysis, not just last-click data.
What does this episode say about customer experience?
Focus on identifying and optimizing key friction points in the customer experience by understanding user behavior patterns and motivations.
What does this episode say about data analysis?
Leverage surveys, user testing, and feedback loops to gather direct insights into customer intent and pain points.
What does this episode say about attribution modeling?
Align marketing efforts and website optimizations with the customer's true buying intent to improve ROAS and conversion rates.
