Online Shopify Sales & Marketing Analytics

We built nightly sales and marketing reporting for a Shopify merchant—giving clear ROI tracking and faster growth decisions.

Shopify sales data analysis

KPIs We Tracked

  • Conversion Rate (Overall & by Channel)
  • Average Order Value (AOV)
  • Customer Acquisition Cost (CAC)
  • Customer Lifetime Value (CLTV)
  • Cart Abandonment Rate
  • Marketing Campaign ROI (by channel/campaign)
  • Top Performing Products
  • Customer Segmentation (e.g., RFM)

Technologies Used

  • Shopify API
  • Google Analytics API
  • Marketing Platform APIs (e.g., Facebook Ads, Google Ads)
  • Azure Fabric / Data Lakehouse
  • Microsoft Power BI
  • Python (Pandas, Scikit-learn)
  • SQL Databases

The Challenge

A Shopify merchant was scaling spend without a trustworthy view of what actually drove profit. They faced:

  • Unclear Marketing Effectiveness: Hard to attribute sales to channels and campaigns with confidence.
  • Conversion Leakage: Drop-offs in the funnel were visible too late—or not at all.
  • Cart Abandonment: Checkout friction cost sales without a clear diagnosis.
  • Retention Blind Spots: Lifetime value and repeat behavior weren't guiding spend.
  • Scattered Data: Shopify, analytics, and ad platforms never reconciled into one daily picture.
  • Product Mix Uncertainty: Revenue leaders weren't always the profit leaders.

What We Built

We delivered a unified sales and marketing analytics system:

  1. Multi-Source Integration: Automated pulls from Shopify, Google Analytics, and major ad platforms.
  2. Centralized Warehouse: Modeled conversion, AOV, CAC, LTV, and channel ROI in Azure Fabric.
  3. Sales & Marketing Dashboards: Built Power BI views for funnel health, campaign performance, segments, and product profitability.
  4. Funnel Diagnostics: Surfaced drop-off points so the team fixed the highest-friction steps first.
  5. Customer Segmentation: Implemented RFM-style segments and LTV views for retention campaigns.
  6. Attribution Visibility: Compared first-touch, last-touch, and multi-touch views so budget decisions got sharper.

Results

After go-live, the merchant delivered:

  • Clearer ROI tracking with nightly reports leadership actually used.
  • Faster growth decisions because channel and product performance stopped living in silos.
  • Higher conversion focus from fixing the highest-impact funnel leaks.
  • Smarter ad allocation toward campaigns that earned, not just spent.
  • Stronger retention targeting for high-value customer segments.

Get clear Shopify ROI every morning

Book a free audit. We'll map your sales and marketing stack and show where nightly reporting unlocks growth.

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