Analysing a Livestream With AI: Use Your Own Data and Never Let AI Invent the Numbers

After a long live you mostly remember a feeling: that was fun, that was draining, chat went quiet. Feelings are information, but they're not enough to improve the next show. AI can help you read your data faster, with one big condition: the data has to be yours.

Rule one: AI doesn't know your live

An AI model can't see your channel. If you ask “how did my live go yesterday?” and attach nothing, it may answer fluently and confidently, yet every figure can be made up. A polished answer isn't a correct one. So you always hand the data to the AI, never the other way around.

Gather real data

Most platforms let you view or export some numbers after a live. Check the analytics section where you broadcast, since what's available differs by platform and can change. Worth collecting:

• Numbers you exported or copied from the analytics page: viewers over time and watch duration, where available.
• A transcript, or your own notes on each segment of the show.
• The viewer questions you saved from chat.
• A list of products you presented, with the times you mentioned them.

What to look at

1. Drop-off moments: find stretches where viewership clearly falls, then check your notes for what you were doing. Maybe a long intro, or silence while processing orders.
2. Repeated questions: if many people ask the same thing, your script has a gap. Say it earlier next time.
3. Products mentioned: which ones drew questions, and which drew little interest despite the airtime you gave them.
4. Clip-worthy moments: stories or explanations that got a good response from viewers.

Prompting AI so it doesn't add numbers

Below is my livestream data (figures and notes follow).
Use only the information in this data.
If something is missing, say "not enough data" and do not estimate.
Point out: 1) segments where viewers dropped, 2) repeated questions,
3) the most-mentioned products. Quote the data lines you relied on.

Asking it to quote the lines is a very useful trick: you can cross-check immediately, and if it can't quote a source, doubt that conclusion.

Always verify

• Compare every number the AI states with your original table, especially if you'll report to a brand or partner.
• For calculations, redo them yourself or use a spreadsheet. Language models can get arithmetic wrong.
• Treat the AI's conclusions as hypotheses to test next time, not proven facts.

One live can't tell you about your whole channel. Compare several, changing one thing at a time so you know which change actually worked.