About the author : Alex Pana

Alex Pana is the Marketing Manager at Oveit, the US-based tech company that developed Streams.live. Prior to joining Oveit, he worked with 2 of the world's leading financial services companies. Over the last 4 years, Alex attended more than 100 live and virtual events, understanding how entertainment and digital payments work together. He is people-oriented and although his role is to share the word about Oveit's solutions, he loves to learn about people's experiences. Be they good or bad. He has a degree in Public Administration. This is where he first learned that small changes can result in big improvements. Having this in mind it was only normal for him to join Oveit.

“If you can’t measure it, you can’t manage it.” 

And if you can’t manage it, it will be extremely hard to improve it.

 

Live shopping is more about authenticity and adding a human touch to eCommerce than it is about anything else. When you go live in front of your audience, the full focus should be on the experience you create. But even for this immersive experience, metrics play a key role. Especially if you are looking to use data to improve your results. Here is how to use our live shopping analytics reports to get a better understanding of the customer experience.

 

Your sales will tell you a lot of things about the success of your session. But they are not telling you the full story. Detailed analytics do.

 

Here is how Streams.live helps you understand what your customers are reacting to.

 

You can access analytics reports for a specific live shopping session.  Or, if you look to see results from multiple campaigns, you can select a time frame.

live shopping analytics dashboard for selecting the desired interval

Once you have selected what data you want to check, your dashboard will display all the relevant information. Check and see how many people actually joined the show(s), how many sessions were there in total, how many chat posts were there, and so on. 

And, most importantly, see how people interacted with your products. After all, live shopping gravitates around the products that are being sold through live video.

 

Live Shopping analytics dashboard

general information from the dashboard - analytics tab

This extremely concludent report will help understand how your live shopping sessions are performing. But things get even more interesting. 

 

Especially when deciding to transform your video content into shoppable videos, you want to know what were the best performing moments from your video. 

This is exactly what our advanced analytics provide. A way to see which were the exact moments when your customers took action.

 

Advanced analytics dashboard

in-depth analytics - dashboard view

Our proprietary technology shows you exactly how your customers interacted with your content. Minute by minute. Using this information, you can trim the video and use the best performing sections to continue to sell even after the live event ends. 

 

We mesure 4 metrics through this report:

 

Clicks 

New comments

Views

Reactions 

 

Use this information, extract the most efficient part of your live shopping session and  use the video content to showcase your products and to see what makes them take actions.

Looking to better understand how live shopping helps eCommerce businesses create better customer journeys? Schedule a call with us.

 

About the author : Alex Pana

Alex Pana is the Marketing Manager at Oveit, the US-based tech company that developed Streams.live. Prior to joining Oveit, he worked with 2 of the world's leading financial services companies. Over the last 4 years, Alex attended more than 100 live and virtual events, understanding how entertainment and digital payments work together. He is people-oriented and although his role is to share the word about Oveit's solutions, he loves to learn about people's experiences. Be they good or bad. He has a degree in Public Administration. This is where he first learned that small changes can result in big improvements. Having this in mind it was only normal for him to join Oveit.

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