Auto Tagging: The Key to Streamlined Digital Asset Management

If your company has an enormous library of digital assets, finding a specific image for a new web project or targeted email campaign can be like trying to locate that proverbial needle in a haystack.

The problems begin when images are added to the media library. Tagging images at that time can help improve searchability. But most companies still rely on employees to manually tag each image, which is a time-consuming process, fraught with the potential for errors and can often be inconsistent. And once you find an image, it can be difficult to determine if it’s the best one in the library to use for your intended purpose.

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The best way to streamline image identification and build a searchable library that yields accurate results is to add an automatic image categorization and tagging to your image and video management service. The combination of these two solutions can be used for several purposes, such as:

Digital Asset Management

By automatically adding text tags to digital assets, it will be easier to search vast libraries using simple text queries. Including valuable metadata with each photo enables you to create a single, organized library of assets that can be leveraged across your entire organization. This approach is useful if your company needs to make its digital library available to numerous teams across the organization.

Say for instance that the advertising team is the primary keeper of the image library, but the internal communications department needs an image of a ski resort to promote a prize for the highest performing sales person. Someone in the communications department can directly search the digital assets and find the most appropriate image for their project. And when used with an image management service, that image then can quickly and easily be transformed and optimized to fit the parameters of the employee communications document.

Analytics

Through a tagging and categorization API, you can add context to all images, which is then integrated with the image management and analytics tools. By examining both the categorization and usage data, you can gain valuable insights into how different asset types impact engagement and conversion, then be more strategic by leveraging optimal content when designing websites, apps or email campaigns.

For example, you can quickly A/B test how different images such as people vs. a landscape impact engagement for specific campaigns. It also enables you to identify trends in image content that could have a measurable impact on other key performance indicators (KPIs).

User Profiling

For those of you who may need to categorize photos uploaded by users of your service or shared on social media, auto tagging can provide great visibility into the demographics and behavior patterns of end users. Let’s say that photos are of kids on playgrounds and parks.

Based on the categorization and the tags returned from that particular image, you can make an assumption that the user is a parent or maybe a teacher or childcare worker. But if photos feature group sports, networking events or parties, then it’s likely the user is a young professional or perhaps a college student.

Conclusion

By integrating automatic image categorization and tagging tools with your image and management solution, you can seamlessly scale your digital asset library and gather meaningful data that enables you to make strategic business decisions that improve user experience, increase user engagement and drive greater profitability.

Comments

  • A lot of work, it seems.

  • It is. Digital Asset Management (DAM) and metadata (the real power behind a DAM) are both investments. You can invest in using metadata once something is created/acquired OR you can continue doing endless searching/scrolling/not finding/recreating/reacquiring. Pick one.