Pinfluencer Launches Image Recognition Engine

Allison Howen
by Allison Howen 29 Jan, 2013

Merchants that actively maintain a Pinterest profile have the potential to gain a lot of traffic from the visually driven social network.

However, just like any other social network, merchants must monitor the analytics of the content they post in order to optimize their production strategies to drive the best results. Luckily, tools like Pinfluencer, which is an enterprise marketing and analytics platform for Pinterest, can help brands do just that.

In fact, Pinfluencer just launched a new image recognition engine that helps brands identify which image on a particular page is driving the most traffic from Pinterest. The technology also breaks down data based on URL patterns and SEO tags, which can help marketers discover which images and products from a website are generating engagement on Pinterest and driving traffic back to the website. Moreover, Pinfluencer's image recognition technology combined with URL and SEO parsing allows marketers to conduct analytics at an image, product and website level.

Pinfluencer also allows merchants and marketers to measure metrics such as overall followers, pins per day, repins per day and clicks per pin. Additionally, the platform's Top Products report displays a brand's most popular products on Pinterest, while the Top Images report shows which images are most popular and drive the most traffic.

"A website is composed of product pages and product pages are comprised of individual images. These images distribute the products on Pinterest via pins and repins serving as the digital mannequins that help drive traffic back to a retailer's website," said Sharad Verma, CEO, Pinfluencer. "We see every pin on Pinterest as a distribution opportunity for our customer brands and we have spent the last year helping these brands see how to identify their top and most influential pinners and learn which pins actually drive the most sales. We are unveiling our new image technology to allow brands to understand which images on a webpage drives the most traffic relative to other images. These insights are extremely powerful."