Creating unique email hash and tracking system when emailing
$30-250 USD
Fechado
Publicado há quase 14 anos
$30-250 USD
Pago na entrega
Statement of work:
We are emailing to our list and need to make the hyperlinks in the emails campaign unique while tracking who downloads and clicks on the links. You will need to create a unique hash (not MD4, MD5 etc…) for the emails. We need to be able to track how many people downloaded the pictures in the email, who clicked on the campaign hyperlink and who opted out of future campaigns (Opt out should be done automatically with one click of the email). See below:
hxxp://[login to view URL]"><img src="hxxp://[login to view URL]
The hyperlink above should redirects you to the website of the affiliate.
Opt out link is: hxxp://[login to view URL]
Upon clicking the opt-out, You get:
Removal Request Status:
Requested Removal Address: xxxxx AT [login to view URL]
Removal Request: processing
Please allow 3 days for processing.
Thank you for your patience.
The data for each campaign (Email,name,address) is in a CSV file format.
You will need to enter the hash equivalent in the csv (Email,hash,name,address) so that we can insert it using our email system.
There should be an easy way to translate the hash into email to determine who clicked a hyperlink. The hash of each email should be captured and saved to a txt or csv file.
We mail on a CentOS system and we have a large amount of domains so it needs to capture the data from all domains.
The Opt out link should also capture the email/hash to a file
Other ideas and strategies are welcome but the general idea is to make each email unique while capturing who is clicking on the hyperlinks and how many people have downloaded the pictures.
It would be great if the data/statistics can be viewed and managed from a website but it is not required. I can putty into the system to grab the files.
I am currently using send-safe enterprise to email campaigns.
I can implement this either through Google App Engine or through a dedicated server running MySQL or SQLite. I recommend Google App Engine because it is simpler (so I will be able to complete it faster) and because it is much cheaper for you, and may cost you nothing at all.