Image analysis plays a crucial role in any marketing strategy. That’s because many online marketing platforms, including social media, receive millions and millions of images daily. In this digital era, images are replacing most social media activities. Many social feeds currently encounter more images than texts, whether artsy photos, selfies, or memes. Texts previously had much say on the content posted on social media platforms, but images have taken over recently. Why? Texts, compared to images, are less impactful. Images are more engaging more memorable, and social media enthusiasts are more likely to share and reshare them online than texts.
What’s Image Analysis?
Image analysis, also called image recognition or computer vision, allows computers to extract crucial information from images through a digital image processing mechanism. It involves using a computer to recognize an attribute within images. Many people use this technology to identify faces within online images to determine age, sentiment, gender, and more. But a company or brand can use this technology for its marketing purposes. Marketers and brands can simultaneously use computer vision to recognize several elements within an image, including faces, logos, scenes, objects, and activities.
While image analytics, particularly computer vision, is a technology introduced a few years ago, there are many valuable things that the invention has proved helpful for in the social media world.
1. Accurately Tracking Brand Mentions
Marketers previously used text-based or direct tags to mention brands online. Though they were a great social media marketing strategy, companies using them could miss a lot. Image recognition provides a more accurate and precise way to measure brand mentions on social media platforms. It’s an online analysis tool that tracks and analyzes how others talk about your brand or product. The technology can help you identify every instance of UGC, or image-based user-generated content, such as visual listening in online analysis. It can also make you identify images on social media that include your product and logo.
2. Protecting Brand Reputation
Your competitors or other people can share posts in the form of pictures that negatively talk about your brand. It’s not good for your company’s content to go viral without your consent. Image recognition offers visual listening abilities to help you track potential crises online that can tamper with your brand’s good reputation.
3. Improve Sentiment Analysis
You can use image analytics to track how customers feel about your product or brand. Text analysis can only identify the sentiment and not deliver the full context. But image recognition is important in identifying the full context. It can identify your brand from different social media platforms to help you understand how people react to your product.
4. Protecting Your Product from Trademark Abuse
Image recognition can detect counterfeit brands and if people are using your logo without your consent. You can use the technology to protect your brand reputation and trademark against damnatory misuse. That’s because it can help you identify if there are copies of your products on sites unknown to you.
5. Emotion Recognition Technology
Brands and companies can use image recognition technology to capture customers’ emotions on camera after using their products. AI-powered image recognition technology, in particular, captures people’s reactions through a camera, and it can help you understand how customers react to your product.
You can use image analysis to help your brand achieve a more comprehensive and accurate picture of what people are talking about your products on social media. Through this technology, you can accurately track the conversational levels of your product mentions and discover your share of impressions, voice, and sentiment.