What is Social media algorithm?

The social media algorithm explained simply

Imagine a DJ at a party. He plays a track and watches the dance floor. If people dance, he keeps that style. If they head to the bar, he quickly changes the music.

The algorithm does the same thing, but for millions of people at once. Every time someone opens the app, it must choose what to show them from a mountain of content. It can’t show everything, so it sorts.

To sort, it looks at what each person has already done. What they watched to the end, what they shared, what they skipped after two seconds. Then it predicts what they will want to see next.

Remember the main idea: the algorithm doesn’t punish you and doesn’t reward you. It follows people’s reactions. If your content holds attention, it shows it more.

What the platforms say (verified in November 2026)

• Instagram explains that there is not one algorithm but several: one for the feed, one for stories, one for the Explore tab and one for Reels. In January 2025, its head, Adam Mosseri, named watch time, likes and sends (shares by private message) as the three most important signals. Instagram also says it recommends reposted content or content with another app’s watermark less often.
• TikTok lists interactions (videos watched to the end, likes, shares, skipped videos), video information (sound, hashtags, length) and device settings. TikTok states that follower count is not a direct factor.

These details change. The principle stays stable: the network shows more of what holds people’s attention and makes them react.

A concrete example

Imagine that Chloé runs a climbing gym. She posts two 30-second videos in the same week.

Video A shows the empty gym, with music. Video B opens with a sentence: “3 mistakes all beginners make on a wall”. Each mistake is shown in 8 seconds.

Both videos are first shown to about 500 people. Here is what happens:

• video A: people watch it for 4 seconds on average, and it gets 2 sends;
• video B: people watch it for 20 seconds on average, and it gets 35 sends, often to friends who want to start climbing.

A week later, video A stalls at 500 views. Video B reaches 6,000 views.

1. 1Chloé publishes her video
2. 2The network first shows it to a small group
3. 3People watch it to the end and send it to friends
4. 4The network shows it to more people
5. 5Chloé checks her statistics and repeats what worked

↻ Retour à l’étape 1

Video B isn’t prettier. It is more useful to the person watching it. That is what the algorithm picked up.

Why it matters to you

• You stop looking for tricks. You don’t need to “hack” the algorithm. Your real job is to make content people want to watch and share.
• You can reach new people without paying. Good content can be shown to people who don’t follow you yet, even if your account is small.
• You know what to improve. Watch time and shares tell you if your opening grabs people and if your message really helps.

The algorithm also gives you an advantage as a beginner. Big accounts don’t win automatically. A small climbing gym can get more views than a big brand with the right video.

How to use it

1. Take care of the first 3 seconds. This is when people decide to stay or move on. Start with a clear promise or a question, not your logo.
2. Give people a reason to share. A useful tip, a funny situation, a mistake everyone makes. Ask yourself: “Who would my customer send this to?”
3. Publish original content. Film it yourself, with your voice and your place. Avoid reposting videos from other accounts.
4. Read your statistics after a few days. Look at average watch time and the number of sends, not only views.
5. Compare to decide. Calculate your sends against your views, then repeat what works.

For Chloé, the math is simple. Video B: 35 sends ÷ 500 views × 100 = 7%. Video A: 2 sends ÷ 500 views × 100 = 0.4%.

She doesn’t need to know if 7% is “good” in absolute terms. She knows that video B did much better than video A. Her next video will use the same recipe: a hook sentence, then short, concrete tips.

Always compare your own videos with each other. The numbers from another account, in another field, don’t tell you much.

Common mistakes

• ❌ Believing the algorithm has “blocked” you after a drop in views. → ✅ Compare your latest posts with those that worked and look for what changed.
• ❌ Buying followers or likes. → ✅ Fake accounts don’t watch your videos: your numbers become false and you no longer know what works.
• ❌ Starting every video with a long intro. → ✅ Get straight to the point from the first second.
• ❌ Reposting videos from other accounts. → ✅ Create your own content, even if it is simple.
• ❌ Changing strategy after one failed post. → ✅ Judge over several pieces of content and several days.

With AI

Copy this prompt into your AI assistant, with the numbers from your statistics:

Here are the statistics for my last [number] videos on [network]:
- Video 1: topic [topic], views [views], average watch time [seconds], sends [number], saves [number]
- Video 2: topic [topic], views [views], average watch time [seconds], sends [number], saves [number]
- Video 3: topic [topic], views [views], average watch time [seconds], sends [number], saves [number]

1. Calculate the sends and saves per 100 views for each video.
2. Tell me which video did best and what makes it different.
3. Suggest 3 ideas for my next videos on the same model, with a hook sentence for each.
Do not invent any industry average.

AI spots the patterns in your numbers. Finding the topic that really touches your customers, by listening to them, is still your job.