Learn about why LTV:CAC is a such an important metric to calculate, track, and analyze in eCommerce and how it can benefit your brand.
eCommerce merchants trying to extract their Amazon Seller Central data face a unique set of challenges: here is everything to be aware of as you work on building a single source of truth around Amazon data.
RFM Analysis is a powerful marketing strategy that allows brands to clearly identify their best and worst customers, optimize their marketing spend, and target value-based customer segments to greatly improve brand profitability.
Understanding the differences between Amazon data and Shopify data (and what it takes to combine them into a single data stream) is key to successfully scaling your brand and staying on top of your eCommerce analytics. Here's what you need to know to start digging into Amazon data, and how to approach combining the data sources.
Marketing personalization has become table stakes to staying competitive in today’s eCommerce landscape – and using your own customer data is essential. Learn how to leverage your data, do customer segmentation, and supercharge your marketing tools with Daasity Audiences.
Identify High-Value Customers (HVCs) who were at risk of churning or lapsing and target them in order to bring them back to your brand.
Streamlining data with a data analytics stack is crucial for an eCommerce brand, and we explain everything you need to know to start building your own stack from scratch.
At Daasity, we are frequently asked about the difference between Customer Data Platforms and Analytics platforms, and the impact each can have on an eCommerce business. In this piece, we break down what you need to know about each and how best to pick the tool that will most benefit your business.