Power BI alternative for eCommerce

Power BI is a flexible visualization tool, but all commerce logic must be modeled manually. Stormly provides this model out of the box.

Keep Power BI for internal BI dashboards. Choose Stormly when you want commerce intelligence without building your own data structure.

Why Stormly is a better fit for eCommerce teams

  • Setup measured in hours, not months
  • AI summaries designed for merchandising and operations
  • Built in variant funnels, SKU cohorts, returns, bundles, and subscription modeling
  • Merchandising analytics included
  • Custom reports with no additional service cost
  • Integrates easily with Shopify, Magento or Adobe Commerce, WooCommerce, BigCommerce

Quick comparison

Capability Power BI Stormly
Data modeling Manual Native
SKU and variant insights Build yourself Included
Merchandising DIY Built in
Daily summaries No Yes
Retention Custom Commerce focused
6 Reports Your E-Commerce Team Will Love
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New Arrivals Performance

Key Question:

β€’ "Which new SKUs are performing best in their first 48 hours?"

β€’ "Which products are underperforming and need a boost?"

What it Does:

Highlights winners and slow movers early, so your merchandising team can take action before it's too late.

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Ad-Hoc Root Cause Explorer

Key Question:

β€’ "Why did conversion drop on mobile last week?"

β€’ "What caused the sudden spike in returns for Region X?"

What it Does:

Detects anomalies and automatically drills into your data to explain "what happened" and "why".

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Unviewed & Unsold Products

Key Question:

β€’ "Which products are losing visibility and not converting?"

β€’ "How does current performance compare to last month?"

What it Does:

Alerts your team to products at risk of becoming irrelevant.

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Aha Moment Discovery

Key Question:

β€’ "What behaviors predict higher purchase likelihood?"

β€’ "What do repeat buyers do differently from one-time customers?"

What it Does:

Finds patterns in user behavior that lead to conversion and retention.

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A/B Test Insights

Key Question:

β€’ "Which version of our product page drives higher conversions?"

β€’ "Did the new checkout flow reduce cart abandonment?"

What it Does:

Analyzes test results and highlights statistically significant winners for faster decision-making.

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Conversion Journey

Key Question:

β€’ "Where are customers dropping off in the purchase journey?"

β€’ "How does funnel performance differ by device or region?"

What it Does:

Visualizes your entire buyer journey and pinpoints friction points for UX and marketing teams.

✨ Custom Reports

If you don't see the report you need, we'll create it for youβ€”at no extra cost, included in your subscription.

Expected outcomes

  • AOV can rise when attach rate improves, for example a bundle placement that lifts attach rate will show up in the daily summary
  • Funnel drop offs shrink when operational issues are found quickly, for example shipping step latency or payment widget errors
  • High value segments become visible, for example wishlists or multi item first sessions that correlate with higher LTV

Migration and setup

  1. Connect your store or app, Shopify, Magento or Adobe Commerce, WooCommerce, BigCommerce, or custom
  2. Auto ingest events with GTM or a lightweight SDK
  3. Choose the first reports to enable, start with cohorts by SKU and variant funnels
  4. Receive the first daily summary, review the suggested actions
  5. Optionally import historical orders, we will help with mapping

Most teams see useful insights the same day.

Common questions

Can we use Power BI with Stormly

Yes. Many teams use Power BI for financial reporting and Stormly for eCommerce analytics. Stormly eliminates the need to build commerce models in Power BI.

Do subscriptions and repeat purchases get first class treatment

Yes. Subscriptions and repeat behavior are modeled explicitly.

Will you build a custom view for our team

Yes. Custom report creation is included, no extra fee.

How do you handle privacy and PII

Only fields you choose are processed. Hashing and export controls are available.

Next steps

Learn more about product analytics for eCommerce