SO, WHAT IS REMARKETING?
Let's say you run a prospecting display, email, search or social media campaign and the users who click on your ads and feeds lands on your website. Now, the users go through your products and services and either adds the product to their cart or just leaves your website. In this scenario, there could be three possibilities:
The user is not interested in the products or services.
The user likes the product and services, but decided to buy later.
The user likes the product and services, but not happy with the rates.
While running a remarketing campaign, we take into account many variables to decide what possibilities could have led the user to leave your website without converting. Among the top variables we consider, below are few examples:
Time spent on your website.
Cart empty or product added.
Depending on these variables, we target those users across different websites and social media platforms and try to show them the products or services they were interested in. Frequency capping is also one of the major criteria to keep in mind as you do not want to keep spending on users who are unlikely to convert after few attempts. We also plan a separate strategy to target users based on any new discounts or offers that you may have on the products and services they browsed, ultimately resulting in more sales and revenue.
SOUND LIKE A SCIENCE FICTION?
HOW WOULD I KNOW IF THE USER HAS CONVERTED OR THE REMARKETING CAMPAIGN WITH STREAMLYN IS SUCCESSFUL?
SOUNDS FUN! BUT WAIT A SEC, ARE YOU GOING TO SHOW THE ADS AGAIN TO USERS WHO ALREADY BOUGHT THE PRODUCT THROUGH THE REMARKETING CAMPAIGN!
Not really. We are not going to show the user same product that they have already bought but may show ads on products and services of another segment in which the user was interested in. How we make sure that we do not show users same ads again after converting is basically through our conversion pixel which is placed on your "Thank You" page. The functionality of that pixel is tracking users along with removing them from existing pool of users who are "Window shoppers".