Starter
For freelancers and small teams.
$ 24 /mo
Billed monthly · cancel anytime
Platforms3
Accounts10
Used by the world's leading companies
Available metrics
Available dimensions
What our customers say about us.
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.
Connect your Shopify store to Catchr, authorize access to the store data, and select the store in the Catchr Looker Studio connector. Create a report with an order summary and a product table. Use order identifiers when checking a sample against Shopify so you can confirm that the report covers the intended orders.
Check the exact measure before comparing: gross sales, net sales and total sales are different. Discounts, returns, taxes and shipping can change the result. Also align the reporting period and order filters. Compare a few individual orders first; matching a label alone does not prove that two reports use the same calculation.
Show refunds separately from gross sales so a change in net revenue is easier to explain. Shopify sales reports can place returns on the date they are processed, while an order-based dataset may attach a refund to its original order. Check that date treatment before reconciling daily figures or comparing a month with Shopify Analytics.
Yes. Catchr includes product identifiers, titles, variants and SKU information, together with line-level sales fields. Build a product table using line-level values. Do not sum a whole order's value for every product in that order, or a multi-product basket will inflate the total.
Keep the reporting level clear. One order can contain several line items, so an order count based on product rows can be too high. Use distinct order IDs for the number of orders and line-level values for product analysis. Validate the totals before combining order and product charts.
Yes. Add Facebook Ads to compare store sales with advertising spend. Shopify records store transactions, while Meta reports purchases attributed to ads. Use both views to assess performance, but do not expect attributed revenue to equal total store revenue or represent a deduplicated view across every channel.
Yes. Connect the stores you manage and retain a store identifier in the dashboard. Standardize currencies and the sales definition before producing a combined total. Keep separate store views available so an agency or brand team can trace a change back to the store responsible.
Orders alone do not provide the number of store visits needed for a session conversion rate. Add a traffic source such as GA4 if that is the denominator you want to use, and label the calculation accordingly. A ratio built from Shopify orders and GA4 sessions may differ from Shopify's own conversion-rate report.
Our team is always here to answer any questions you may have about our data connector.
