Atribus Image Analytics
Detect the logos that appear in the publications and measure their impact
Atribus Image Analytics allows the detection of text and logos in the images of the monitored publications in social networks and digital media, all of them based on your search keyword
We extract data from social
and digital media
Big brands already trust Atribus
Generate your list of brands and discover where and how much they appear
Define your own list of brands and Attribus Image Analytics will take care of identifying them in social network and digital media publications based on your search keyword.
You will be able to measure and assess the individual statistics of each publication such as the economic impact, reach, etc.
Detect text and logos in the images published on your keyword
Know the market
Discover the most detected brands in the publications
View the brands that have appeared the most and generate personalized reports with this data.
You will be able to provide real data that will give added value to your sponsorship proposals and brand impact.
We explain what image analytics is and how brands can use it to gain consumer insights
What is Image Analysis?
Image analysis (also known as “computer vision” or image recognition) is the ability of a computer to identify properties in an image.
Are you using Google Photos or Apple’s Photos app on your smartphone? Both use some basic image analysis to detect faces and classify them into your photos so you can see all photos of a particular person. Type “dog” into either app’s search function to quickly find your puppy photo collection, or “beach” to find your tropical vacation photos.
Social media analysis started and continues to be based on text analysis. But image analysis is becoming more and more important. When applied to social media analysis, image analysis is an extension of text analysis capabilities applied to visual content.
The same classification method applies to image analysis. Instead of looking at all posts that contain the word “computer,” Object Recognition can show you all posts that contain photos of your computer.
Image analysis can also identify faces in photos to determine mood, gender, age, and more. It can identify multiple elements in a photo at once, including logos, faces, activities, objects, and scenes. The technology automatically captions images: “Man and woman standing outside, wearing Patagonian shirts, with bicycles and mountains in the background.” These are just the basic details.
But this is just the beginning. As social media image analysis technology improves, it will be able to provide more contextual information about photos.
How can brands use image analytics?
Image analytics is a new addition to social media analytics technology, also offering a variety of very important use cases for brands
Track brand mentions more closely
The simplest application of computer vision technology is to measure brand mentions more accurately. Businesses use social media analytics tools to track and analyze how people talk about their brands. In the past, the only way to find mentions of your brand or product on social posts was to search for text-based mentions or direct hashtags of the brand.
When a big brand like Nike wants to understand how many people are talking about their product, their first step can be to analyze their voice share on social media. But as we discussed, viewing these direct mentions is only part of the puzzle. What about conversations without text? This is where “vision” is important.
If Nike only measured text-based social conversations about their brand, they would miss posts like this. Image analysis solves this problem by extending social media analysis to include visual content, allowing them to identify everything from their logos to any image that contains a specific type of product, such as running shoes.
Many companies use social media analytics to track how people feel about their brands or products. If you only look at the text, you can’t see the whole picture.
These two posts are a good example of the importance of looking at both text and images. Just glancing at one of them doesn’t give the full context. In these posts, text analysis identifies sentiment, while image analysis identifies brands and products.
Measuring Sponsorship ROI
How do you decide if placing your brand logo in a stadium is worth the investment? Is it worth it to sponsor this big event? These types of questions have been asked in marketing discussions for years, but logo recognition technology can finally begin to provide some answers to the ROI question in offline advertising.
With logo recognition technology, you can quantify the number of impressions and exposures your brand gets from events like red carpet sponsorships. Otherwise, you won’t be able to track these purely visual mentions.
Similar to the Drake/Bentley example, this Skrillex Instagram post features the Adidas logo. Whether this is an organic or paid add-on for Adidas, they want to keep an eye on how influencers like Skrillex promote their brand.
Determine consumption time
One of the most interesting and useful applications of image recognition technology is the recognition of moments of consumption. Every business wants to learn as much as possible about how, when, and where people use a product, but the limitations of text analytics don’t provide the full picture of how a product is actually being used.
Unlike text, images provide visual confirmation of who, where and how people are using your product. Without image analysis, your fans and customers would have to explicitly mention your product, which is unlikely.
Visual evidence of product use in the wild provides brands with a more meaningful metric than just measuring mentions. Going a step further, you can start correlating sales data with how often your products appear on social photos. Research by Crimson Hexagon shows a strong correlation between sales data and the number of social media photos showing product usage.
We show you Atribus through a free and custom DEMO. No credit card required. No software installations are needed.