Dashboards & Reports

An overview of the main Store Performance dashboard — revenue, orders, AOV, and customer trends.

Definitions for revenue, orders, AOV, ARPU, and other key metrics in Datadrew dashboards.

Track the balance of new vs. returning customers over time with breakdowns by orders, revenue, and AOV.

How to use date pickers, comparison periods, and grouping options across all dashboards.

See combined performance across Meta and Google Ads in one unified dashboard.

Analyze Meta Ads performance — account summary, campaign trends, and per-campaign metrics.

Analyze Google Ads performance — spend, conversions, ROAS, and campaign-level breakdown.

See GA4 website traffic, sessions, conversions, bounce rate, and engagement metrics.

How to drill into individual campaigns and track ROAS, CPC, and conversions over time.

What MER, blended ROAS, blended CAC, and other cross-platform metrics mean and how they're calculated.

Track hourly metrics across ad platforms with period-over-period comparison. Available on Pro plan.

Group customers by acquisition period and track how their lifetime value grows over time.

Understand your 10 customer segments based on Recency, Frequency, and Monetary value.

Visualize how often customers repurchase with heatmaps and transaction frequency breakdowns.

Segment customers by their first purchased product and track retention patterns.

Why cohort-based LTV is more accurate than the traditional AOV x Frequency x Lifespan formula.

Analyze customer retention and LTV by shipping location to find your best-performing markets.

See how your store's metrics compare to industry averages for growth, LTV, and retention.

Analyse your customer cohorts

Understanding and Utilizing Customer Segments

How to effectively conduct product-level cohort analysis and apply these insights to boost customer retention and drive product development

Combine ad spend data with sales performance to identify hero products and ad spend wasters.

Discover which products are frequently bought together and create data-driven bundles.

Identify which products drive repeat purchases and have the highest repurchase rates.

Analyze ad creative performance with thumbnails, spend, CTR, ROAS, and format breakdowns.

Identify the products with high repeat purchases

Understand which products are frequently bought together on your Shopify store and optimise cross-sells and product promotions.

How to export dashboard data and customer segments to CSV or Excel files.

Choose which columns to show or hide in dashboard tables and save your preferences.

A glossary of all metrics and KPIs used across Datadrew dashboards.