Guides

The Advanced Guide to Ecommerce Metrics and Workflows

Discover how to unify your metrics into a single, trusted source of truth, reduce CAC by 15%, and streamline your analytics with advanced automation. Get the playbook to sharpen your e-commerce operations and set a solid data foundation for 2025.

The Advanced Guide to Ecommerce Metrics and Workflows

A comprehensive playbook for reducing your Customer Acquisition Cost (CAC), tracking performance accurately, and automating workflows.

{{button-popup}}

Why a Data Reset in Q1 Matters


Every Q1 brings renewed motivation and a fresh opportunity to achieve new goals. For ecommerce brands, it’s the perfect time to reflect on past performance and align data-driven objectives that set the tone for the rest of the year. However, this chance often gets overlooked amidst day-to-day operations.


Just like cleaning and organizing your workspace boosts productivity, managing and refining your data helps your brand identify actionable insights and make strategic decisions.


A complete data reset in Q1 helps you to dig deeper into metrics, revealing trends that basic analytics might miss and transforming your data into a strategic playbook to achieve your 2025 goals effectively.

What’s Inside

  1. Centralizing data sources for a single source of truth.
  2. Tracking key performance indicators such as CAC, LTV, and ROAS accurately.
  3. Moving away from vanity metrics that inflate reporting without helping you grow.
  4. Apply AI and advanced analytics to save time and drive better actions
  5. Focusing on retention and cohort analysis to lower CAC and boost profitability.

A Quick Peek at the Chapters

Part 1: Data Reset

  • Centralize & Automate Your Data
  • Track Accurate Metrics for Consistency
  • Move Away from Vanity Metrics

Part 2: Analyzing & Acting on Your Data

  • Turn Insights Into Actionable Gameplans
  • Leverage Operational BI Automation
  • Focus on Retention & Cohort Analysis

{{button-popup}}

Goal Example:

Reduce CAC by 15%. You’ll walk through specific, step-by-step tactics—like building custom dashboards, setting alerts, and filtering out test or draft orders—to make sure you’re only working with the metrics that truly matter.

{{button-popup}}

Join 4,000+ leading Shopify brands around the world using Polar Analytics to stop manually compiling their data

Schedule a demo
Quad lock
Aimn'
Lifetime brands
Marcella New York
The Frankie Shop
Tiege Hanley
Polene
Seavees
Ripndip
Albion Fit
Kiss USA
Konges slojd
Lemaire
nohow
Maniere de Voir
Volcom
Coes
Razor Group
Oneskin
State & Liberty
Warren James
Dyper
Bonsoirs
From Future
RSVP
Merci handy
Soi Paris
Yellowpop
Olipop
Soko Glam
Fanjoy
Hero
Almond Cow
Polène