None of our habits happened overnight, and almost none of them stay with us unaltered during our lifespan. This same postulate pertains to content experience. The way we used to consume content a couple of years ago is indeed not the same anymore. Hardly anyone can now imagine not having a smartphone at their fingertips, checking, answering, and gripping information on whatever data is required. Or let’s take social media as an example. The latter is no more a “nice-to-have” solution but a powerful means for customer-centric engagement (as this is where people are “hanging out”). These days brands can seize more opportunities than ever before to engage customers and create a meaningful dialogue along with more data and insights available.
However, staying on top of the content evolution curve is crucial, and now we are off to dwell on the “essence” of life sciences content and its area of focus.
When the whole industry is still under extreme uncertainty going through the challenging period, the digitalization process is showing no signals of slowing down. Still, it might be just the right time to bring innovations to light in order to serve customers even better whatever circumstances we are experiencing now. This tendency, though, entirely reflects our mission, which is to enable digital transformation (as it’s gaining momentum) and facilitate the best-in-class omnichannel customer experience for Pharma and Life Sciences.
In 2023, being an effective pharma marketer refers to being enough tech-equipped, as digital-first strategies to engage physicians and patients have skyrocketed in the last few years. That shift also promises to bring more advancement and effectiveness into customer engagement, and quality data will play a crucial role in helping make that approach live and function.
Well, the pain point we must draw attention to is how to keep content creation at pace with that shift? It’s obvious that the content development process must now be accelerated to the needed extent. Easier said than done, right? Here’s the way out.
Main Business Challenges Pharmaceutical Companies Might Grapple with:
- Low (or no) consistency in brand strategic communication: local marketers need to readjust the global content or create their own from scratch
- No regular practice of modular content reuse (what content can be reused and how to control that process)
- MLR approval process can take too long and is often complicated with low cost-efficiency
- No single content development framework and centralized processes
- Creative and content development agencies might be operating their own flows for different pharmaceutical brands
- No proper content tagging and taxonomy support as a part of a strategy, etc.
How can pharma marketers and brand managers surpass those burdens alongside the growing complexity of content and rising expectations of modern physicians? Modular content management will be key in enabling content creation at scale and helping navigate the complex digital landscape.
What is Auto-Tagging?
Before we explain auto-tagging, let’s answer the “What is content tagging?” question first.
Content tagging is the process of organizing any type of content, such as images, videos, or texts, in a certain way that allows sorting it out into groups and categorizing it based on certain characteristics.
To put it in simpler words, content tagging is the same thing as labeling items in order to describe them. Let’s take a look at some content tagging examples:
- Assigning tags like “Education”, “Technology”, or “News” to different blog articles to help readers quickly find relevant content;
- Labeling videos with descriptions like “Tutorial”, “Demo”, or “Interview” for quick identification of specific types of video content;
- Tagging content based on details, with tags that stand for products, services, partner names, target audience, etc.
Content tags are what you can use to quickly organize all content items and mark the content to make it easier to search. Content tags can be easily customized to fit your business objectives and specifics, providing customers with a more personalized experience and improving the navigation through your website.
Metadata tagging is similar to content tagging, but while the latter one focuses on tags visible to users, metadata tagging mostly involves adding descriptive metadata to the aforementioned content.
By combining both metadata tagging and content tagging, you can enhance the discoverability of your content and make it easier to manage.
Another term to keep in mind is content tagging taxonomy, which is used to organize and classify content.
Without taxonomy, it would be much harder to deliver personalized content and optimize it for search. Content tagging taxonomy can ensure that your content finds the user at the right time in the right place, making your content more accessible and easier to find.
Auto-tagging is just the same thing as content tagging, but automated, meaning that there is no need to spend a lot of time manually creating and assigning tags to your content.
By using various auto-tagging tools and instruments like AWS auto-tagging, you can spare a lot of time that can be dedicated to other projects.
When it comes to the auto-tagging vs manual tagging comparison, automated content tagging is a virtually error-free and consistent process that is resistant to potential mishaps, which is guaranteed to make marketing assets a lot easier to manage. Manual tagging, on the other hand, requires a lot of time and effort, and it could take a few days to sort out just one content category. Automation might be difficult to set up and get used to at first, but in the long run, it is definitely a worthy investment.
What is AI Сontent Tagging and What are Its Benefits?
AI content tagging is what many people think will soon become one of the best content tagging practices, and it uses Artificial Intelligence to analyze and tag content of any type. Most commonly, AI content tagging involves a number of related technologies, such as Machine Learning or Natural Language Processing.
By delegating content tagging to AI, companies will be able to manage, search, retrieve, and share content on all sorts of platforms faster, without compromising the quality. AI can enhance content tagging strategy in numerous ways, such as:
- Increased efficiency. AI-driven content tagging is capable of handling large data volumes much faster compared to humans, making it a few times more effective and time-efficient.
- Real-time analysis of tags. Artificial Intelligence is capable of analyzing and tagging content in real-time, meaning that it will also stay up to date without a need to do it manually.
- Reduced errors. “To err is human”, everyone has heard that. Unfortunately, when it comes to something as scrupulous as content tagging, it becomes extremely easy to make a mistake. Moreover, many details are hard to catch for the human eye. Nothing can escape AI’s grasp though, and it is capable of capturing virtually everything.
- Availability in different languages. AI can create and process tags in various languages, which can help to reach consumers across the globe. AI auto-tagging also helps to keep tags in various languages more organized without the need to onboard multiple specialists who master respective languages.
- A better understanding of your content. Automated content tagging with the help of AI does not only label content and sort it out. It can also compare different documents, categories, or formats and find similarities humans might have missed. Artificial Intelligence can offer fresh insights into your content and audience.
Remember that Artificial Intelligence is not an ultimate solution that will completely get rid of manual tasks, yet it is expected to demonstrate an annual growth rate of 37.3% from 2023 to 2030, and an increasing number of companies are already embracing the technology and integrating it into their workflows and processes. AI auto-tagging is a step toward automation, and it’s best to take this step as early as possible.
eWizard Content Auto-Tagging Overview
eWizard auto-tagging solution is an optional function to structure enterprise-level modular content and metadata with auto-tagging, auto-recognition, and taxonomy support.
eWizard auto-tagging is aiming at two main goals:
- to process brand digital content, namely audit, auto-tag, visualize and analyze;
- to help optimize the workflows, such as brand content planning, MLR approval, content development, content distribution, and content performance analytics.
eWizard AI-based auto-tagging can automatically extract and tag data from digital content, providing contextual navigation (smart search) and helping to implement a personalized customer experience. Simply put, the algorithm is trained to apply relevant and descriptive tags by “understanding” the content behind the asset.
Auto-tagging solves the main challenge for users of finding the relevant content in a few clicks, removing the need for manual search. eWizard tagging solution automatically scans different content types and extracts key metadata as well as assigns tags to the new content types that pair with similar topics.
To summarize, auto-tagging helps to optimize:
- content discovery;
- content reusability;
- metadata management;
- workflow automation.
eWizard Auto-Tagging Types
Standard content auto-tagging is a highly scalable solution that applies tags to imagery, video, and text-based digital assets. You can audit your brand’s digital content, identify objects, people, text, scenes, and activities. Besides, it can detect any inappropriate or legal risk data and supplement the content with additional information (metadata).
Another type is custom auto-tagging. It allows distinguishing the objects and scenes in images specific to your business needs. Custom solutions offer a more personalized approach tailored to business-specific taxonomies (pharma and life sciences, in our case).
Making Far-Reaching Changes to Your Content Production Model
By reckoning on a robust technological stack, our company is helping Life Sciences and pharmaceutical companies worldwide accelerate content experience and deliver the best-in-class customer engagement techniques. We are pioneers of creating digital ecosystems that lead the way to agnostic content management, superior client experience, and data management.
Our dedicated team is ready to cover all phases of your omnichannel project workflow: starting by developing and localizing a global brand communication strategy, preparing the operational foundation, orchestrating customer engagements, and finishing with measuring the results and performance of digital assets.
To learn more about how tagging in eWizard works and how to strengthen your content-searching experience – contact our expert by using this form:
