The chat is the heart of any Twitch live stream. No matter how entertaining a streamer might be, they can never truly achieve star status without engaging with their audience. Renowned personalities like xQc, Kai Cenat, and CaseOh have risen to fame largely due to their ability to cultivate a large and loyal community.
While viewer metrics provide insights into the overall performance and audience size of broadcasts, chat analysis offers a deeper understanding of the audience itself: what they enjoy, their reactions to integrations, and their overall engagement with the content. Today, we’ll show how Streams Charts' tools can help you better understand viewer behavior during Twitch live streams.
Streams Charts' Chat Analytics for Twitch Channels
Chat Analytics is a key add-on available on Streams Charts with an active PRO subscription for Twitch. While a Streamer subscription grants full access to chat statistics for a specific Twitch channel, the PRO subscription add-on unlocks this data for all channels and broadcasts in our Twitch database. So, what benefits do users receive with the active add-on?
With an active Streamer subscription, you can access the 'Chat Analytics' tab on the relevant channel's page. With a PRO subscription, this feature is available on any Twitch channel's page. For instance, let's take a look at Baiano, a leading content creator and co-caster for League of Legends esports in Brazil.
Chat Analytics section provides extensive information about chats, sortable by any desired period (day, week, month, year, or custom range). Besides general statistics like the number of messages sent, the number of chatters, and the share of the most active chatters, you can also track the trends of these metrics over the selected period.
In June, Baiano's key metrics surged between 50% and nearly 200%. With the start of the summer esports season and the return of esports broadcasts, Baiano's viewers became significantly more active. The total number of chat participants increased by over 50%, and nearly twice as many messages were sent in the chat compared to May.
Beyond the general data, this section offers detailed insights. Clear graphs display chat dynamics over the chosen time period, enabling you to assess the performance of specific content based on audience engagement. You can also find information on the most frequently used words and the most active chatters.
In June, Baiano's most successful broadcast in terms of chat activity was his co-casting of the opening match of Split 2's first week between LOUD and Pain Gaming. This is not surprising, as these two main rivals consistently draw the league's largest audiences.
Chat analytics reveal that audience engagement drops by about half when Baiano co-casts the second division of Brazilian LoL. Interestingly, when Baiano co-casts LoL championships in other countries, audience activity declines even more.
Let's now examine a specific broadcast by Baiano as an example. With the active Twitch Chat Analytics add-on, our users can analyze viewer and chatter behavior throughout the entire stream, and compare different segments of the broadcast based on chat activity.
Engagement Rate is a critical metric for assessing chat performance, revealing the percentage of active viewers among the total audience who engaged with a piece of content. A higher engagement rate indicates a more engaged audience. For prominent streamers attracting thousands of concurrent viewers, a rate of 20%+ can be confidently considered high.
During a rather lenghty livestream on June 11th (nearly 17 hours long), Baiano simultaneously streamed multiple esports matches. Using the Engagement Rate, we can identify which matches garnered the highest interest from the audience.
Chat analytics for individual streamers and broadcasts is just one of the many features related to analyzing audience behavior during Twitch broadcasts. Another powerful tool available to our PRO users with an active add-on is the Brand Analyzer.
Brand Analyzer in Twitch Chats
Chats serve not only as a space for viewer interaction but also as a key element for brand integration during broadcasts. Content sponsors frequently promote their products through chat bots, integrating sponsored messages. Our powerful tool not only evaluates the engagement surrounding a brand but also provides insights into its competitive positioning among other brands.
Simply enter any word into the field, select your desired time frame, choose the channels you're interested in (or select all channels), and voilà! You'll receive comprehensive statistics on mentions of the chosen word or brand, along with detailed insights. This includes audience demographics, content preferences, and more.
Data breakdown includes a detailed analysis of user activity. You can instantly see how many chatters mentioned a particular word from once to 50+ times. Additionally, it provides a list of top channels whose viewers were most actively engaged in discussions.
What's even more important, the detailed breakdown includes categorizing the total volume of messages by categories and games, as well as demographics: you can track lists of countries and languages of channels' broadcasts, whose viewers participated in discussions.
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