Introducing Daasity’s Data Snacks. This series of short, educational videos are your fast track to understanding need-to-know metrics for success.
How often have you heard retailers, restaurants, or other companies talk about “comp” sales? In retail, comparable store sales indicate the performance of a company based on sales from the previous period. For many, this happens quarterly or even monthly, and outlines how a store is performing year over year. However, year over year performance can be misleading if calculated incorrectly, which is why the use of a retail calendar is so important.
In this Data Gotcha episode, Daasity CEO "Daasity Dan" LeBlanc, unwraps attribution: how you should be measuring it and common misconceptions. Learn about vendor reported metrics vs. first-click attribution and last-click attribution, inaccuracies in how these are reported, and how you can leverage these metrics all together to make better decisions.
Recently we had a chance to take a step back from the day-to-day grind and catch up with one of our customers.
Jeremy Horowitz, Director of Marketing at Daasity, Customer Satisfaction. Learn why it's critical for you to track this metric and how you can leverage these insights to inform your ongoing Customer Support strategies.
In this episode of Data Snacks, we dive into what a site funnel is. Learn the 5 key steps to the site funnel and better understand the importance of how your customer progresses from one stage to the next.
In this Data Snack episode, Daasity CEO, Dan LeBlanc, talks about business growth rate and how that can impact your brand's growth forecast. Learn the growth rate formula you need to know, and learn how this factors into a Top Down Revenue Forecast and a Bottom Up Revenue forecast.
In this Data Gotcha episode, Daasity Chief Analytics Officer, Sean Corson, runs through how to correctly create a forecast and what to consider when doing so. Learn about year-over-year business changes to consider, breaking down your forecast to the product level, and tying your forecast to your larger business metrics.
Stay Data-Driven.