Store Analytics

Understanding how your store is performing requires data — and the HoopAI platform provides analytics tools to track the key metrics that matter for an e-commerce business. From revenue totals to page-level conversion rates, the analytics features give you the visibility to make informed decisions about your products, marketing, and store experience.

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Where to find store analytics

Store analytics data is available in several places across the platform: Within each store (Stats tab): Open a store in the Sites section and click the Stats tab. This view shows per-page performance data for that specific store, including page views, unique visitors, opt-ins, and order counts by step. Payments > Transactions: A full transaction-level record of every order, with date, customer, product, amount, and payment status. You can filter by date range and export as CSV. Payments > Orders: All orders with their current status (pending, fulfilled, refunded). Click any order to see its full details. Dashboard widgets: The main Dashboard supports customizable widgets that can display revenue, paying customer counts, one-time purchase revenue, recurring revenue, and payment success rates.

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Stats tab — store page analytics

Inside each store, the Stats tab provides a step-by-step breakdown of how customers move through your store pages. For each page in your store: The Stats tab also displays a date range selector so you can compare performance across time periods — last 7 days, last 30 days, last 90 days, or a custom date range.

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Revenue analytics

Revenue data flows into the Payments section in real time as orders are placed. One-time revenue: Total income from single-purchase products sold through the store. Recurring revenue: If you sell subscription products through funnels connected to your catalog, recurring revenue is tracked separately and can be viewed in the Dashboard with the relevant revenue widget. Revenue by product: To see which products are generating the most revenue, export your transaction data from Payments > Transactions and sort or pivot the data by product name. Revenue by date: The transaction export includes timestamps for each order, allowing you to calculate daily, weekly, or monthly revenue totals in a spreadsheet.

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Orders and order metrics

From Payments > Orders you can view:

• Total orders in a date range
• Orders by status (pending, fulfilled, refunded, cancelled)
• Orders by customer (click any customer name to see their full order history)
• Individual order details including line items, variants purchased, shipping address, and payment method

Combine the order count with your store traffic from the Stats tab to calculate your overall store conversion rate: divide total orders by total unique visitors and multiply by 100.

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Top products

The platform does not currently provide a dedicated “top products” chart in a single view, but you can identify your best-performing products by:

1. Exporting transaction data from Payments > Transactions as a CSV.
2. Filtering by date range.
3. Sorting by product name and summing the quantity and revenue per product.

This gives you a clear picture of your highest-revenue and highest-unit-volume products over any time period.

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Conversion rate optimization insights

The Stats tab displays conversion rate data at the page level, which reveals where customers are dropping off in your store funnel:

• High Product List views but low Product Details clicks → Your product titles or images on the grid are not compelling enough to drive clicks.
• High Product Details views but low Add to Cart → The product page content is not converting — review the description, pricing, images, and social proof (reviews).
• High Cart entries but low Checkout completions → Cart abandonment is occurring. Enable abandoned cart emails to recover these customers. Review your shipping rates — unexpected high shipping costs are the most common cause of checkout abandonment.
• High Checkout starts but low Order completions → The checkout experience has friction. Review the fields, simplify required information, and check that payment methods are working correctly.

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Integrating external analytics

For more advanced analytics, you can connect external tools: Google Analytics 4: Add your GA4 measurement ID to the store’s tracking scripts under Settings. GA4 can track e-commerce events (product views, add-to-cart, purchase) when properly configured with event parameters. Meta Pixel: Add your Pixel ID in the store’s tracking scripts to track store visitors and conversions for Facebook and Instagram ad optimization. Custom scripts: Any tracking script (TikTok Pixel, Pinterest Tag, etc.) can be added in the store’s Settings > Custom Scripts section. Scripts are injected on all store pages automatically.

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Dashboard revenue widgets

The main Dashboard supports the following revenue-related widgets that you can add and arrange on your home screen:

• Total revenue (this month) — one-time and recurring revenue combined
• One-time revenue trend — chart of one-time purchases over time
• Recurring revenue trend — subscription revenue over time
• Paying customers trend — count of unique paying customers over time
• Payment success rate — percentage of attempted payments that succeeded
• Revenue by channel — breakdown by payment channel (store, funnel, invoice, etc.)

To add these widgets: click + Add Widget on the Dashboard and select from the revenue and payments category.