Budget: 24000 UAH Deadline: 7 days
I can do this analysis. The cost estimate is 24,000 UAH, and the deadline is up to 7 working days after access is provided. If, after checking Chekly, it turns out that the purchase events do not have the necessary connection to the product page, I will suggest a separate option through a custom event or saving the source Product Page until the order is placed.
Look, there’s a nuance here - in your task, the main thing is not just to create a table, but not to break the attribution. I would check GA4 events, Shopify data, the transfer of purchases from the Chekly App, then compile a report with columns for Product Page, Sessions, Purchases, Conversion Rate, and period selection. The formula will be Purchases / Sessions × 100%.
You will need to provide access to GA4, Shopify, and Chekly, as well as, if available, an example of an order where the buyer transitioned from a specific product page to checkout. I will clarify two things - does Chekly currently send purchases directly to GA4 or through Shopify, and is a report needed in GA4 Explore, Looker Studio, or a separate table?
Relevant examples of our work
> https://business.ingello.com/prime-eva - e-commerce and systematic work with data for retail
> https://business.ingello.com/eva - retail, integrations, and analytical logic around sales
> https://systems-fl.ingello.com/ua - a brief overview of Ingello Systems for FLH
Overall, it’s a normal task, but the devil is not in the table, but in the events - as always, a small comma in analytics can eat half the truth =)
If needed, I can start with a mini-audit of the current GA4 and Chekly events, so we don’t have to guess based on documentation, but can see real data.