We can remarket through different channels, such as russian email list search ads, banners, or different social networks. In this article, we are going to focus on a platform that many marketers tend not to take into account: remarketing on Twitter .
Twitter Ads is a small but increasingly significant investment . It is a platform that we should not forget because of the profile of its users and its social impact, currently and in the media, so let's go!
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How to remarket on Twitter
A quick refresher: What is remarketing and how does it work?
Before we get into it, let's take a quick look at how remarketing (also known as retargeting ) works.
Remarketing involves creating personalized ad campaigns that are shown to users who have previously interacted with your brand, for example by visiting your website or other content.
The fundamental idea behind remarketing is to reach users who already know your brand or products and who are therefore much more likely to end up converting. Given its high probability of success, it is worth allocating higher bids or a larger budget to this type of campaign , compared to conventional ones.
The remarketing process can be summarized in three steps:
A user visits our website or otherwise consumes content from our brand.
This user is marked with a cookie and added to a remarketing audience or list, the parameters of which we will have previously defined (for example, users who have visited a specific page on our website in the last 30 days).
An advertising campaign is launched targeting users on this list, meaning that only users who are part of it will be able to see it.
Within this basic configuration, we have a lot of possibilities depending on the criteria for inclusion in the remarketing list and the ad formats we use. But they all have a number of advantages for brands in common:
Personalize your target audience further . By setting up remarketing lists based on the action users performed (e.g. visiting a certain page) and the time that has passed since the action, you can target users with different interests and at different points in the purchase cycle and offer them maximum personalization.
