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Why Do Businesses Need To Add Social Video Analytics to Their Marketing Strategy

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Lily Thomas
Why Do Businesses Need To Add Social Video Analytics to Their Marketing Strategy

Believe it or not, Steve Jobs put the video into our pockets with the first iPhone. And, every year since, video has transformed the way we consume content and communicate with each other, from live streaming unskippable moments with friends on social platforms to making a purchasing decision based on online video testimonials. 

An average person is predicted to spend 100 minutes per day watching online videos. According to Cisco Visual Networking Index (VNI), the internet traffic is expected to quadruple in 2022, clearly defining that the internet is loaded with video streaming traffic. 

Millions of videos get uploaded to the internet every day, and this number is rising exponentially, so does the desire to search and analyze the content precisely. After all, companies understand that video content is essential for a brand’s social media account success. 

Simply put, with such a voluminous increase in video traffic, the role of video analytics is more crucial than ever before. 

Here, we will walk you through what defines social analytics, its works, and the tools you can use to get the most out of your analytics to stay ahead of your competitors. 

But, first thing first! 

Why Do We Need Social Video Analytics?  

Organizations, brands, and companies alike consume and create awesome content on the internet every day. Besides, with the COVID-19 epidemic, internet users have soared exceptionally. In a recent study, it was found that 51% of United States adults started using social media more because of the pandemic. 

With mammoth people consuming content more than ever before, it’s important to use social video analytics to understand your audience and competition deeper to stay ahead of the competition. Also, by integrating social media video analytics, your creative juices flow through the presentation of fresh, cutting-edge content and strategies. 

If you are still sitting on the fence as to why social video analytics is crucial for your business, let me shed light on some of the benefits: 

  • Cross-platform intelligence
  • Action-oriented insights can be drawn from the video content
  • In-depth analysis of your audience
  • Competitor analysis is done in a better manner regarding content and programming plans
  • Video optimization is provided to help your audience grow

Probably you’ll be thinking, “This sounds great, but how can I accomplish this for my business?” 

It’s simple; let us show you how to accomplish this!

Tools Needed To Collect Data For Analyzing

Social media video analytics is carried out by extracting data software and APIs from specified social media channels like YouTube, Instagram, Facebook, TikTok, etc. To better understand how social media video analytics works, let’s have a quick rundown of some of the data extraction software and APIs available. 

Insta-scrape 

Insta-scrape, to put in all, is everything about that precious Instagram data. 

A lightweight Python package offers a comprehensive and flexible API for scraping Instagram data. It can also integrate well with industry-standard tools for web scraping, data science, and analysis. In addition, this data scraping tool helps in complete Instagram social listening. 

Apify 

Apify, a popular name used for TikTok and Twitch data analysis, is a software platform allowing users to scrape the web and extract data and export the data into JSON, CSV, or Excel formats. With Apify, users can easily automate manual workflows and processes on the web, like monotonous acts of filling in forms or sorting files. 

Importantly, Apify allows robots to do the work for you. 

YouTube API 

The YouTube API lets you add several features to your app, allowing your user to utilize the API to upload videos, update channel settings, and many more to the list. Besides, you can effortlessly search for videos using specific search terms, topics, dates, locations, etc., to find the needed YouTube content. 

YouTube Comment Scraper  

YouTube comment scraper is a free application that allows extracting comment tracks using YouTube’s API. The extracted data is then stored in datasheets with the comments and additional information in JSON or CSV format.  

The Graph API

The Graph API is an HTTP-based API and is considered the primary approach to getting data from Facebook. Also, apps can use this API to manage video analytics to manage ad preferences, query data, post photos, and many other tasks. 

Octoparse 

Octoparse is a dynamic web scraping tool that can scrape static and dynamic websites with JavaScript, cookies, etc. Primarily, it focuses on Facebook’s data and helps in Facebook sentiment analysis, which has been a hot spot for data scraping. 

Besides, it offers a proxy server setting functionality that prevents IP blocks. This makes the extraction process faster as no programming knowledge is required. 

From the above-listed data extraction software and APIs, you would probably have seen that they are all highly confined to just one social media platform. In addition, the separation of each API is incredibly limiting when looking to optimize for efficiency and complete audience comprehension. 

Notably, it would be best if you integrated a video analytic tool that is compatible with multiple top-tier social media platforms. 

Now, without any ado, let’s outline how social video analysis is done?

How is Social Video Analysis Done?

A powerful sentiment analysis tool uses NLP (Natural Language Processing) to extract insights from videos, making it more comprehensive than any other tool. It can semantically save all forms of videos as quickly as it can gather insights through YouTube or TikTok sentiment analysis. 

Have a look below at how video analysis is done. 

#Step 1: Audio Transcription

The first and foremost step is audio transcription, in which all audio and video files convert into text using speech-to-text supported by NN (Neural Networks). This transcription means that you can easily access videos, video recordings, and podcasts at the same level of convenience. 

#Step 2: Caption Overlay 

The sentiment analysis solution breaks down videos into frame-by-frame image formatting. So, any text that appears in the extracted frames is recognized and analyzed quickly. 

#Step 3: Image recognition 

With a trusted video analysis AI, the model recognizes any images in the background, even those consisting of brand names and logos. 

Finally, It’s Not As Hard It May Sound 

Just remember, the longer visitors watch your video, the more time they get to learn about your brand and the more data you get to know about them. With the right analytic tool that provides all kinds of insights, you have all the information at your finger touch to understand your potential customers’ interests and online behavior and identify new opportunities. 

With an unprecedented increase in video content, your business, brand awareness, and the health of your customer relationship need to be in tune with the analytics behind these videos. Fortunately, with a trusted and resilient sentiment analysis tool, it’s never been easier to look at how your target thinks, feels, and reacts. 


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Lily Thomas
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