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After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.

With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Create a CommentSold connection in Catchr with your API token and Shop ID. Select that shop in the Catchr connector in Looker Studio and create a data source. Start with Order ID, Order Created At, Order Status and Payment Total, then compare a few orders with CommentSold before building summary charts.
The current connector exposes orders and customers. Order fields include status, creation and payment dates, subtotal, shipping, taxes, coupon discounts and fulfillment information. Customer fields include identifiers, location and marketing-consent indicators. Use these for order and customer reporting; the connector does not currently expose the full product, inventory or returns datasets available in CommentSold’s own reporting tools.
Yes. Count distinct Order IDs and summarize the payment measure appropriate to your report, with a clearly labelled date field. Order Created At and Order Payment Date answer different questions. Filter Order Status to match the orders you intend to include, and keep one row per order when validating totals so joins or duplicate records do not inflate the result.
A payment total is not automatically the same as net sales. CommentSold reports distinguish product sales, discounts, refunds, shipping, taxes and other adjustments. The Catchr catalog exposes several payment components but does not include a complete refund dataset. Compare the exact measure and date basis, and do not label summed Payment Total as net sales or profit without accounting for the missing adjustments.
Yes. Use Order Payment Coupon Code with distinct Order IDs and Payment Coupon Discount to compare recorded coupon use and discount amounts. Keep the comparison at order level and check that the selected statuses and dates match your CommentSold report. A coupon-associated order total describes orders using that code; it does not prove that the coupon caused all of those sales.
The current Catchr connector does not expose product-line, SKU or live-session fields, so it cannot directly reproduce a best-selling-products or per-live-session report. Use CommentSold’s reporting exports for those datasets. If you prepare an export in a spreadsheet, the Google Sheets source provides another reporting route.
Yes. The available fields include order status, fulfill-by information, local-pickup indicators, pickup time, shipment date and tracking number. Use them to review orders awaiting fulfillment and distinguish pickup from shipped orders. Shipping charged to the customer is a payment field, not automatically the cost of buying a shipping label, so keep delivery operations and shipping profitability as separate questions.
Our team is always here to answer any questions you may have about our data connector.