TikTok for Business

TikTok for Business: Beyond Ads and Analytics

Overview Have you ever wondered about using TikTok for business to increase your brand’s reach? If so, this article will be helpful. In here, we will see in detail how companies use TikTok for business to promote their brand and understand their audience to build a cohesive marketing strategy.

And the reason they’re doing this is simple when you want to grow your audience, create awareness around your brand, increase engagement with your customers, and reach millions of people, TikTok is an extremely valuable tool.

So, with the right strategy, and when you know how to use TikTok for business, you can drive thousands of people to your site and generate more revenue.

However, to do this and tap into your audience, you should look beyond just ads and analytics and understand your audience and customer demand to ensure your channel gets the attention it deserves.

How to Use TikTok for Business

How To Use TikTok To Understand Your Audience?

Now that you know how to use TikTok for business, let’s look at how you can understand your audience which, as mentioned above, is probably one of the most important aspects of achieving success on the platform.

Here, Repustate’s machine learning analysis tool uses natural language processing and follows the six-step process to perform semantic video content analysis and extract valuable insights from TikTok videos: Step 1. Audio Transcription Audio and video files are converted into text using our TikTok Text Mining API and Process for Video functionality backed by neural networks. This means the tool is not limited to video content analysis but can also be used for podcasts and other voice recordings.

Step 2. Caption Overlay Repustate breaks down videos into frame-by-frame image formatting. Any text that appears in the extracted frames is recognized and analyzed.

Step 3. Image Recognition Through the use of video analysis AI, any images in the background like brand names and logos are detected and classified as entities.

Step 4. Text From Post & Comments During the next step, our text analytics API extracts any text from comments and posts. Through this process of text, image, and user profile text mining, all text accompanying the video is extracted.

Step 5. Sentiment & Semantic Analysis Once the relevant text is extracted, it is used to analyse sentiment and find semantic meaning to extract key topics and themes, and find sentiment score.

Step 6. Visualization Once complete, all the sentiment scores are provided on a sentiment analysis dashboard so that you can easily understand what data has been analyzed and what the results are.

1. Speed and scale 2. Accuracy 3. Aspect-based analysis 4. Multilingual 5. Multimedia 6. Social media 7. Entity extraction 8. Reporting dashboard

Understand your data, customers, & employees with 12X the speed and accuracy.

Thank you!

Visit: www.repustate.com to learn more