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.
Learn all about ROAS: what it is, how to leverage it, what a “good” ROAS is on FB, Google, & Amazon, and why you have to be careful when evaluating your marketing program with this metric.
In this piece on cost per order, we break down everything you need to know about this powerful and informative metric: what it is, how to calculate it, how to use it to make marketing spend choices in your business, and how to avoid common mistakes associated with cost per order.
In this short video, Jeremy Horowitz, Daasity's Director of Marketing, talks about how to dial in your marketing budget. Learn tips for setting your marketing budget and how to accurately define success to grow your business faster and more effectively.
Cost per acquisition is a fundamental KPI to track for any eCommerce business. It allows you to track marketing performance, and understanding it is necessary to grow your brand.
Forecasting is the most important exercise you can do to understand how your business is working, anticipate challenges, and test what levers you can pull to hit your revenue and sales goals.
Daasity is thrilled to announce the closing of a $3.4m seed round led by VMG Catalyst. This funding will allow Daasity to extend its eCommerce performance analytics even further and strive toward its goal of helping DTC eCommerce brands take charge of their data in a cost-effective way.
In this Data Snacks episode, Daasity CEO, Dan LeBlanc, walks you through what first-click attribution is, why it is important, and when it is relevant to consider in your marketing strategy.
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.
Stay Data-Driven.