I want to track the development in traction and engagement of the newly launched Facebook Marketplace feature. If you want to know more about the feature, you can read more here:http://newsroom.fb.com/news/2016/10/introducing-marketplace-buy-and-sell-with-your-local-community/
This job requires developer skills, over the course of 3 monthe. The applicant must have access to the Facebook Marketplace feature in the Facebook app on iOs or Android.
I am looking to hire four people in total, tracking the US, UK, NZ, AU where the feature is currently launched.
NOTE: APPLICANT MUST LIVE IN UK, US, NZ OR AU AND HAVE ACCESS TO THE FACEBOOK MARKETPLACE FEATURE IN THEIR PHONE.
Track and monitor the use of Facebook Marketplace in US, UK, NZ and AU.
To gain a high level overview of the FB Marketplace traction and growth.
Categories we are tracking
Clothing and shoes women
Clothing and shoes men
Baby and kids
Cars, trucks and motorcycles
Sports & outdoors
Housing (only rooms for rent)
Goals (separated by category)
Average number of days to sell (day of sale minus day of posting)
Average number of views per day
Average number of views when sold
Using screenshots* of the ads (one on the day ad is posted and one when they are sold) we want to extract the following information from the images:
*Ten screenshots will be taken daily in each category daily (90 in total) and uploaded to a google drive folder. The ads will need to be saved so that they are still visible to you once they are sold so you can take another screenshot to compare it to the first one.
Date (the day the screenshot is taken)
Date the ad was posted/ Date ad is sold (the day the second screenshot is taken)
Item in ad (car, shoes, etc)
Number of photos in ad
Number of views when screenshotted first time
Number of views when sold
City ad is posted in
You will be responsible for taking the screenshots of the new and sold ads and upload them to separate folders.
From these screenshots we want to be able to figure out, perhaps by comparing the first screenshot to the screenshot when the item is sold (separated by category)
Average number of days the ad took to get sold
Average number of views on first screenshot
Average number of daily views on ad
Average number of views when marked as sold