Twitch Analytics · Dashboard · Europe

Twitch Stream Analytics

When the camera is off, the reflection begins: When did the viewer count spike? Did the raid come before or after the peak? Streamboard summarizes the stream clearly – with a timeline that highlights key moments like follows, subs and raids. For creators in Europe who prefer clarity over tab chaos.

Viewer History Event Timeline No data-science toolkit needed
Dashboard: Twitch stream analytics with viewer history and event markers for follow, sub, raid on a timeline

How does analytics relate to live notifications?

After the stream, charts and events help you reflect; at the same time you can prepare Discord and Telegram notifications for your next go-live with Streamboard. Full overview: Features · FAQ.

Overview

Why Twitch analytics in the dashboard matters

Twitch Analytics in Streamboard is built for practical value: you spot patterns in your stream history without navigating deep menus. Ideal for solo streamers and small teams who want a quick debrief after the stream.

Viewer statistics in context

The curve shows how your audience moved during the broadcast – not just a number at the end, but the progression over time.

Timeline: Follow, Sub, Raid

Key moments appear as markers on the timeline. See at a glance whether a raid pushed the curve up or whether follows came in clusters.

One place for the review

Instead of scattered screenshots and notes: the board bundles analysis and setup – from Discord notifications to post-stream reflection.

Typical markers on the timeline

  • Follow: New viewers subscribed during the stream – clearly visible when several happen in quick succession.
  • Sub (or gift sub): Support right in the stream timeline – helps gauge whether community actions brought energy to the program.
  • Raid: Incoming raid wave – often visible just before or during a peak in viewer statistics.
Benefits

What Twitch analytics in the board gives you

Orientation after going live: concrete takeaways instead of vague impressions – all in the same interface as your setup.

  1. Peaks with clear event context

    Viewer highs and lows sit on a timeline; follows, subs and raids appear as markers on the same screen. You see immediately which event coincides with a spike or dip – no need to manually cross-reference chat logs or spreadsheets.

  2. Comparable sessions with consistent layout

    Every past broadcast uses the same layout for curve and markers. This lets you compare sessions fairly: same axes, same event types – whether it's a morning slot, a collab or a long feature program.

  3. Fewer tool switches in daily life

    Having Twitch live, Discord/Telegram notifications and analytics in the same board reduces context switching. You stay in one system for setup and review instead of using three portals in sequence.

  4. Quicker wrap-up right after the stream

    History and markers are already stored and structured. Moderators and co-hosts can review the session with you in minutes – without collecting screenshots or opening external stats sites.

  5. Decisions for the next broadcast schedule

    See whether peaks correlated with scheduled segments, raids or community actions. This provides an objective basis for title choices, slot length and recurring segments – without relying on gut feeling alone.

What Twitch analytics in the board gives you

Frequently Asked Questions

What is "Twitch Stream Analytics" at Streamboard?

The curated view of a past broadcast: viewer trends over time plus markers for moments like follows, subs and raids – bundled in the dashboard.

Can you see follows, subs and raids on the timeline?

Yes. These events are mapped to the stream history so you can connect peaks and community reactions in one view.

Who benefits from the analytics?

Creators and small teams who want to reflect after the stream and improve their next broadcasts – without complex toolchains.

Try Twitch Stream Analytics in your own board

Create an account, connect your channel and check the history after your next broadcast – that's how Twitch Analytics becomes part of your workflow.

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