Want to know a secret about creating data-driven strategies? You’re sitting on a gold mine of largely untapped data – something that the right tools can help you dig up. What gold mine might this be, you ask?
Two words: video content.
There are several remote teamwork tools that can assist you in plunging the depths of your video content, but none do it quite so well as tl;dv.
Not only does tl;dv provide smart video tagging for you to easily refer back to parts of your recorded video call, it also allows you to track call metrics; a gold mine within a gold mine. Mineception.
The Hidden Potential of Video Content Analysis and Call Metrics
Video content analytics and call metrics are often overlooked by businesses. People are so focused on extracting data using the usual methods that they often miss the forest for the trees.
tl;dv takes you into the forest to see it for what it is.
With Zoom meeting minutes totalling over 3 trillion in 2023 alone, it’s time we started to treat this video content with the value it deserves. When you successfully analyze your video content, you can unlock a whole new world of insights that can be used to finetune your strategies across multiple departments: product development, sales, and marketing are just three that spring to mind.
Video calls have become an everyday part of corporate life. So much so that more than 50% of U.S citizens claim that they have moderate Zoom fatigue or higher. While it may be true that they are overused – and also true that there is a gorgeous little software that allows you to reduce your unnecessary time in meetings – it can work in your favor when it comes to extra insights.
It’s not just internal meetings that are virtual anymore. User research, customer support, and sales calls are all slowly venturing into video call territory. And if you’re one of the businesses that’s paving the way in this sector, then you can give yourself a big ol’ pat on the back. You’ve just struck gold.
With this data under your belt, you can cause some real damage. To your competitors, that is – by being incredibly awesome. Imagine all those sales calls you’ve stacked up that are attracting dust in your virtual library. Import them to tl;dv and use its intuitive AI to scan the automated transcripts for keywords and juicy insights.
Now imagine you’ve started using tl;dv and you’ve got 30 sales calls stored up, each with a different prospect. You can start mining this data by searching the transcripts and automated summaries for objections. Lo and behold, you’ll get some patterns starting to form. Perhaps a third of your customers have the same objection. You know what that leads to? Data-driven changes that your customer is guaranteed to love.
Or you could continue guessing or paying for additional data instead. It’s your (video) call.
What Else Can tl;dv Do?
tl;dv is an online meeting software that records your Google Meet and Zoom calls. It can be invited to any call, no matter how big or small. Not only does it capture the video, make notes for you, and provide automated summaries at the end, it also instantly transcribes the entire meeting (in your choice of 25+ languages). Its speaker recognition is one of the best in the business, allowing you to clearly distinguish between speakers in the transcript.
One of the great things about using tl;dv in your calls is its array of smart video tagging features. You can identify moments of the call with a keyword search (that scans your free transcript), and also make manual notes if you have something hyper-specific or personal to add. Another great way to use tl;dv’s smart video tagging is to literally tag a colleague. If your CS team is starting to get reports of a bug, they can tag the back-end developers at specific moments so that they can jump instantly to the part of the call that’s relevant to them, and start running tests and working on a solution.
Similarly, if your sales prospects are all asking for the same feature, you can easily tag your product manager into the meetings where the feature is requested. Even better, you can quickly and easily merge clips from different calls into a highlight reel and send it straight to their inbox, or on your work platform of choice due to tl;dv’s many integrations. This way your sales team won’t have to sell features you don’t have…
@tldv.io A timeless joke #sales #developer #customersuccess #tech #startup #corporate #aitools
♬ original sound - tldv.io - AI Meeting Recorder
Get in the Real World: Use Cases for Your Business
As we’ve mentioned above, tl;dv can be used to extract insights from a number of different departments. Here, we’ll cover real world examples for sales, user research, and customer support. Remember: there are many more areas in which tl;dv can help: marketing and product development to name a few. With these examples, however, you’ll get a taste of the way remote teamwork tools like tl;dv can be absolutely invaluable – in a way that you may never have even known was possible.
Sales
There are endless ways in which AI-enhanced sales training can help you craft more data-driven sales strategies. Here are a handful of them.
Sentiment Analysis
tl;dv employs sentiment analysis algorithms to detect and quantify the emotional responses of sales prospects. Essentially, its AI can identify moments in the video where viewers express positive or negative emotions, such as excitement, joy, or frustration. This is particularly great as it wouldn’t be visible from the transcript alone, and if, for whatever reason, the sales rep wasn’t paying focused attention during the call, then the reaction may have been lost to oblivion.
Engagement Tracking
You’ll receive an email immediately when your meeting participants rewatch the call. If your sales prospect is rewatching your pitch, it means they’re interested. They want to give what you said some extra thought – or perhaps they’re showing it to their team members. Either way, it’s a good sign.
Body Language Analysis
Similar to sentiment analysis, analyzing the body language shows you things that aren’t visible on a transcript. You might see a prospect nodding their head in agreement, or frowning at something that wasn’t clear enough for them. By going back and rewatching sales pitches, you can catch how the prospect truly felt in a way that’s just impossible in the heat of the moment. Doing this enough times empowers you to adapt sales strategies.
Smart Video Tagging
We touched on tl;dv’s ability to tag earlier, but it’s also worth mentioning that you can tag key points of a sales pitch in order to see how different customers react to specific points. This is especially true if you’re running off some kind of flexible sales script. By tracking how customers react to these specific points, sales teams can determine which parts of the pitch are most persuasive and which may need improvement.
Common Objections
Using the search function in your tl;dv library, you’ll be able to easily find trends and patterns across your sales calls, specifically common themes in regards to objections. Whether it be price, a missing feature, or compatibility concerns, you can use this data to tweak your sales pitches in the future.
User Research
For user research, you can also re-use the methods listed for sales. However, there are some additional ones that you can use to get the most out of your user interviews.
Keyword Extraction
Similarly to sales objections, you can search keywords in your user interview library to find common themes, pain points, and frequently mentioned topics among your users.
Comparative Analysis
tl;dv, and other smart video tagging tools, allow you to compare multiple user interviews, highlighting commonalities and differences between users. This is great for developing user personas and tailored solutions, but it can also be useful for segmenting your users to target them more specifically in the future.
User Journey Maps
tl;dv can assist in creating user journey maps by tracking user reactions and feedback at different stages of their interaction with a product. This visual representation helps teams understand the overall user experience and areas that require improvement.
Customer Support
Similarly, customer support can use many of the use cases mentioned above, but here are some that are more finetuned for CS teams.
Call Transcription
By having a copy of the customer support transcript, you can quickly and easily identify common problems. Overall, it makes it easier to analyze the content of the calls and extract valuable insights.
Issue Categorization
Smart video tagging tools like tl;dv will make your CS team’s life a whole lot easier. You can categorize customer issues into predefined categories, allowing support teams to learn which issues are encountered the most and which ones are the most damaging. This will allow you to swiftly organize issues in terms of priority.
Agent Performance Evaluation
While we talk a lot about the power of certain tools and platforms, it’s people that make all the difference. With call recordings, you can constantly analyze support agents using metrics like response time, issue resolution rate, and customer satisfaction. This can also be done for the sales team and user researchers too. While it shouldn’t be a tool for unnecessary surveillance, it can be useful for suggesting improvements and continuously training your various teams.
Root Cause Analysis
Rather than sticking a band aid on the problem, tl;dv’s video recordings allow you to go back and really dig deep as to what the root cause of the problem is. Does it stem from product defects, unclear documentation, or user error? Have they been sold on a feature that doesn’t yet exist? It happens more than you might think.
@tldv.io Like Undercover Boss but it’s CS trying to frame Sales #productmanagement #sales #customersuccess #hr #corporatehumor #tech #startup #aitools
♬ original sound - tldv.io - AI Meeting Recorder
You Are Not Alone: Informed Decision-Making is the New Normal
Businesses are utilizing any and all means to obtain user insights. The big boys worth billions are certainly doing it. Your competitors are probably doing it too. If they are, you need to get up to speed. If they aren’t, this is your chance to take the lead and get ahead of the curve.
Video content analysis is the new way to extract meaningful insights. Other methods will still work, of course, but ignoring video is like radio ignoring TV. Yes, radio still exists, but TV took the entertainment throne a long time ago.
Forbes is already talking about how video analytics transforms data into an asset, but they’re a bit behind the times in regards to data being considered an asset. Facebook, Google, Microsoft, and even Tesla have built their entire business models around data. Social media companies in particular are free-to-use for a reason: you are the product. They use your data to sell to advertisers and then keep you scrolling for hours so they can collect all your interests and sell you more things. It’s the consumerist’s wet dream.
But video content analytics and smart tagging allow you to get a slice of the pie, too. By analyzing your own wealth of data that you’ve collected already – and will continue to collect – you can tailor your strategies to take your business to the next level.
Start Extracting Insights Today
The world of technology is forever changing. In doing so, it forces business to act. The current change is in the form of data extraction. You have data all around you. If harvested correctly, you can learn so much more about your customers – enabling you to add extra features, personalize your product, and eventually earn more.
You can access that data with tl;dv. Get started today without spending a penny. You can get unlimited free recordings and transcripts, and you can also upload pre-recorded files for transcription and smart video tagging. What are you waiting for?
