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Complete guides

What is Syndicated Retail Sales Data?

Syndicated retail data equips businesses with the knowledge to navigate market trends, enhance competitive analysis, and refine product strategies

Complete guides

LTV:CAC Ratio [2023 Guide] | Benchmarks, Formula, Tactics

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.

Amazon

How to Extract Your Amazon Seller Central Data [Updated 2023]

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.

Complete guides

Customer Data Platforms vs. Analytics Platforms

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.

BigCommerce

A Commerce Challenge: Combining Amazon and BigCommerce Data

BigCommerce & Amazon data is necessary to blend in order to run useful reporting and analytics. But is it possible? Yes. Read about it here.

Complete guides

An eCommerce Analytics Challenge: Combining Amazon Data and Shopify Data

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.

Complete guides

RFM Analysis: A Complete Guide | Revised 2023

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.

Data Playbooks

Reactivating HVCs

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.

Data Playbooks

Welcome New HVCs

Identify new High Value Customers (HVCs) who have just become your most valuable customers and target them to nurture them into long-term profitable customers.

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