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In this Data Snack episode, Daasity CEO, Dan LeBlanc, explains Daasity's Top Down Revenue Forecast. The Top Down Revenue Forecast is a powerful forecasting tool that allows you to forecast revenue based on your store's Shopify data.
In this Digestible Data episode, Daasity CEO, Dan LeBlanc, demonstrates how to use Daasity's customer retention performance dashboard to build customer segments that you can export out of Daasity and load into your marketing platform.
In this Data Snacks episode, Daasity CEO, Dan LeBlanc, walks you through different kinds of attribution models/attribution methods and why attribution is important. Learn about first-click attribution, last-click attribution, using customer data for attribution, and building more advanced attribution models.
Daasity Chief Analytics Officer, Sean Corson, breaks down the basics of UTM Parameters: what they are, how to use them, and how they help you track your core marketing metrics.
In this Data Gotcha episode, Daasity Chief Analytics Officer, Sean Corson, runs through three of the most common mistakes that brands make around implementing UTMs and how to fix them.
In this Data Snacks episode, Daasity Chief Analytics Officer and Co-Founder, Sean Corson, digs deeper into UTM parameters and the different pieces of a UTM.
In this Data Gotcha, Daasity Chief Analytics Officer and Co-Founder, Sean Corson, talks about Customer LTV (aka CLV) and three major things to keep in mind when analyzing your brand's LTV.
In this Data Snacks episode, Daasity CEO and Co-Founder, Dan LeBlanc, explains Daasity's Direct-to-Consumer 6-Pack metrics: Traffic, Conversion Rate, Orders, AOV, Revenue, and ROAS/CPO. Dan explains why these six metrics should serve as a guide, and why they are the most actionable metrics for your business.
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