Tableau is a strong visualization platform, but eCommerce teams still need to build their entire data model manually. Stormly removes this stage and delivers commerce insights immediately.
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 | Tableau | Stormly |
|---|---|---|
| Retail modeling | Manual | Native |
| Variant funnels | Manual | Included |
| Merchandising analytics | Not provided | Included |
| AI summaries | No | Yes |
| Custom reports | Internal work | Included |
6 Reports Your E-Commerce Team Will Love
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.
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".
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.
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.
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.
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.
β¨ Custom Reports
If you don't see the report you need, we'll create it for youβat no extra cost, included in your subscription.
Expected outcomes
- AOV can rise when attach rate improves β 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
- High value segments become visible, for example wishlists or multi item first sessions that correlate with higher LTV
Migration and setup
- Connect your store or app β Shopify, Magento or Adobe Commerce, WooCommerce, BigCommerce, or custom
- Auto ingest events with GTM or a lightweight SDK
- Choose the first reports to enable β start with cohorts by SKU and variant funnels
- Receive the first daily summary and review the suggested actions
- Optionally import historical orders β we will help with mapping
Most teams see useful insights the same day.
Common questions
Should we replace Tableau with Stormly
Keep Tableau for general business intelligence. Use Stormly for eCommerce-specific analytics. Stormly eliminates the need to build retail data models in Tableau.
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.