Post by account_disabled on Feb 27, 2024 4:51:18 GMT
The because with minimal searching you can find plenty of sites whose product pages that rank do sit at the root Appleyard Flowers Game Tesco Direct. At one level it makes sense a product might be in multiple categories LCD TVs for example so you want to avoid duplicate content. Plus if you changed the categories you wouldnt want to have to redirect all the products. But from a data gathering point of view this is awful. Why There is now no way in Google Analytics to select all the products unless we had the foresight to set up something earlier like a custom dimension or content grouping.
There is nothing that separates the product URLs from any other URL we might Kazakhstan Phone Number List have at the root. How could our hypothetical data analyst get the data at this point They might have to crawl all the pages on the site so they can pick them out with an HTML footprint a particular piece of HTML on a page that identifies the template or get an internal list from whoever owns the data in the organization. URLs theyll then have to match this data to the Google Analytics in Excel probably with a VLOOKUP or if the data set is too large a database. Shoot.
This is starting to sound quite expensive. And of course if you want to do this analysis regularly that list will constantly change. The range of products being sold will change. So it will need to be a scheduled scrape or automated report. If we go the scraping route we could do this but crawling regularly isnt possible with Screaming Frog. Now were either spending regular time on Screaming Frog or paying for a cloud crawler that you can schedule. If we go the other route we could have a dev build us an internal automated report we can go to once we can get the.
There is nothing that separates the product URLs from any other URL we might Kazakhstan Phone Number List have at the root. How could our hypothetical data analyst get the data at this point They might have to crawl all the pages on the site so they can pick them out with an HTML footprint a particular piece of HTML on a page that identifies the template or get an internal list from whoever owns the data in the organization. URLs theyll then have to match this data to the Google Analytics in Excel probably with a VLOOKUP or if the data set is too large a database. Shoot.
This is starting to sound quite expensive. And of course if you want to do this analysis regularly that list will constantly change. The range of products being sold will change. So it will need to be a scheduled scrape or automated report. If we go the scraping route we could do this but crawling regularly isnt possible with Screaming Frog. Now were either spending regular time on Screaming Frog or paying for a cloud crawler that you can schedule. If we go the other route we could have a dev build us an internal automated report we can go to once we can get the.