Daymark Team

A practical guide to the best ecommerce data analysis tools - broken down by what they actually solve. Compare BI platforms, attribution tools, behavior analytics, and data pipelines to find what your store really needs.

A practical guide to the best data analysis tools for growth teams, from product analytics and funnel tracking to cross-channel BI. Find the right tool for every stage of your growth stack.

Compare the best data analysis tools built for marketing teams - from AI-powered platforms to BI tools. Find out which one fits your stack, skill level, and budget.

A practical guide to the best data analysis tools for SaaS companies, covering product analytics, subscription revenue tracking, marketing attribution, and the business intelligence layer that connects all three.

A practical guide to the best data analysis tools for SEO teams, covering rank tracking, technical auditing, content optimisation, and the reporting layer that connects organic performance to real business outcomes.

A practical Shopify analytics guide for store owners. Learn what native Shopify analytics includes, where it falls short, how to track the metrics that matter, and when to export Shopify data to BigQuery, Redshift, or use a simpler analytics tool.

Compare the 3 ways to move Shopify data to BigQuery: native BigQuery connector, custom Google Cloud pipeline, or ETL tools like Fivetran and Airbyte. Includes setup steps, trade-offs, SQL examples, and which approach fits your team.

A beginner-friendly, step-by-step process for analysing ecommerce data—goals, KPIs, segmentation, trends, and turning insights into action.

A practical ecommerce analytics implementation guide—what to track, how to connect data, how to segment, and how to build a culture of acting on insights.