Imagery will help you understand your consumers

You see it every day: people are taking and sharing more images online than ever before. The daily number of images shared on the major social platforms is somewhere North of 3 billion per day (source, slide 90), and that number continues to grow as platforms become more, or exclusively, visual.

User-generated content is a highly relevant visual snapshot into consumers’ favorite activities, passions, and interests. For over 2 years, Kantar TNS and Netra have been leveraging image recognition to tap into this rich data source.

Most recently, Kantar TNS and Netra partnered to help a global beverage brand leverage public social text and image data to better understand consumption patterns across specific geographies. By combining text analysis with image-based logo detection and activity/scene recognition, they were able to uncover new audience insights including the context in which products are consumed, other brand affinities, tribe demographics, and more.

Download the full case study to learn more!

Netra analyzes public social imagery with their proprietary image recognition to help agencies and brands like Heineken, for example, understand that some consumers prefer to enjoy a Heineken (or two) after a successful winter hike!

Netra’s image recognition technology detects 2800 logos, 4200 objects/scenes/activities, and faces with age, gender, and ethnicity classification.

Netra’s technology can also analyze video.

Visit our website or email us at info@netra.io !