Wouldn’t be awesome if you could somehow measure the performance and actual clicks of each of your links?
This is already possible by using the graph function underneath each of your links:
This will produce a graph of your link’s clicks in time:
This will allow you to correlate the number of clicks in relation to when the specific product was featured in one of your collections.
You can use this information to anticipate your clickthrough and plan on what products you will use on each of your lists and to which affiliate you link each one of them so as to optimize your revenue.
Viewing each link separately is nice to do once in a while, especially after a project you posted online so you can see if its clicking performance is getting better or worse.
A new, more analytical way to track clicks has been introduced today (6/19/13).
You will notice an excel-like tab on your Project manager dashboard:
This small button, performs a great job. It compiles an excel-compatible spreadsheet that contains all the links of the collection, along with their click counts for each one and the link they are pointing to. (*)
Moreover the file includes ALL the click information of each of your links for the specific collection including:
- The name of the link
- The time when the click happened
- The country code where the click originated from and
- The referring URL (That is, the website, email, rss feed, youtube video where the link was displayed)
This information is very useable as you can see from which channel you get more clicks. If e.g. the referrer is reader.google.com (or whichever reader in that case) this means that your feed readers are active. The referrer may also be your blog address, assorted webmail clients (gmail, yahoo mail, live.com etc) and youtube (more on youtube functionality in the near future 😉
(Some addresses may be blank. This is due to that some users have enabled the private browsing mode in their browser thus not allowing to send such information)
You can easily remove the top part of the data and have the raw clicks as your sheet. Using the default spreadsheet capabilities, you can sort the clicks based on whichever value you want (eg country, referrer, time etc). You will get then a rough estimage of the amount of clicks based on each channel
For example, you can sort based on country code. You then get a list with all countries that produced clicks. If you get a lot of Australian (AU) clicks and just a few US ones, then it would probably be a good idea to link to something local to Australia so people will most probably buy without paying the extra P&P.
Depending on the channel you get the clicks from and the time the clicks happen, you can optimize e.g. when to publish the post, for those who click on your blog, when to send out the “new post” notification for your new posts to get the most clicks from those who click your products through their webmail client and so on.
These stats can also be used to compare clicks vs actual purchases if compared to your affiliate provider’s logs. Again, you can use this to extract a mean value of clicks per purchase and if, in time, this proves to be stable, strive for more loyal visitors
Hope that it wasn’t too much! If you like more info on any of the aspects of the statistics or how to process them (or for a hello!) please leave a comment! I’d be happy to hear your feedback on how to make the Project manager to better suit your needs!
More posts like this will soon come so stay tuned on how to make the best out of InLinkz!
(*) The links you have added from the shops tab are shown WITHOUT their affiliate links. This is not the link that the user clicks (which contains the affiliate) but the raw link of the product.