Today we are pleased to announce the latest addition to Pulsar TRAC: Pinterest, the image sharing and social networking platform that enables users to save and discover images, articles and ideas for things they are interested in.
Distinctly visual and ‘slower’ than other social networks, Pinterest reflects a highly exploratory and discovery-focused mood and mindset on the part of its over 450 million monthly active users. From recipe ideas, to design, style, home decor, and travel inspiration, Pinterest has become a treasure trove of forward-looking ideas and high-intent content.
On Pulsar, Pinterest data can help you explore and discover a topic or product space visually, as well as help you surface ideas for campaigns, content strategy, or appealing visual layouts and scenes for the home, food, fashion, and so much more. Creatives, planners and advertisers can further use insights from Pinterest to understand the trends in a category, and design better, thoughtful targeted campaigns, whether it’s for their own Pinterest page (their “virtual storefront”), or for their next visually-oriented campaign, on or off the platform.
What you’ll be getting on Pulsar
First off, a note on Pinterest lingo: Pinterest consists mainly of pins and boards. A pin is an image or article that has been linked from a website or uploaded on Pinterest. Boards are collections of pins dedicated to a theme or category, such as interior design, travel, weddings or recipes. And pins saved from one user's board can be saved to someone else's board, a process known as "repinning".
On Pulsar we collect four types of pins:
a regular pin
an article pin
a product pin
a recipe pin
These pins would have been saved or repinned by a Pinterest user from another user’s board. The repinned Pin’s description has to contain the keywords you are tracking in your Topic search, or contain the links you are tracking in a Content search. Depending on the type of pin, the description can either come from Pinterest directly, or from the web article that was pinned.
For each pin, you’ll be getting:
Pin Information: The information we collect includes the image, the pin description, the date and time the pin was published, the language of the description, and the url that points to the pin on Pinterest.
Author Information: The author of a pin is any user who saves or repins a pin to one of their boards on Pinterest, therefore not necessarily the “creator”. We provide the following info about that user: author name, username, author bio, location, no. of followers, no. of following, and where possible their gender, which is inferred from the author name.
Engagements: Engagements on Pinterest are “comments” and “saves”. With comments, we are only able to provide the no. of comments, not the actual comment. Saves are treated as reactions, similar to how we treat retweets on X.
How to Create a search with Pinterest data
Creating a search with Pinterest data is easy and straightforward. You can do this via the Pulsar Wizard, where you can enter your search terms in a Pinterest specific field, as shown below.
For Boolean searches, you will need to use the PINTEREST operator, which must be written in uppercase, as shown below.
Pinterest data is available on TRAC for all Pulsar clients, in Topic and Content searches. And if you want to learn more about this data source, you can view our FAQs here or reach out to us via the in-app chat. We are excited to see what use cases you come up with for Pinterest!