What TikTok, Instagram and YouTube say about recommendations

0:00 How recommendations work

Post at exactly six p.m. Never edit your caption after posting. Use exactly five hashtags. Videos over ninety seconds get no reach. Have you heard any of these? Algorithm rumors spread faster than any video. And most of them are noise. Here's the thing: the platforms actually publish explanations of how their recommendation systems work. In this lesson, you'll learn what TikTok, Instagram and YouTube officially say, what it means for your content, and a five-step routine for checking any rumor before you change your workflow.

0:37 The key idea

Why does this matter? Because every hour you spend chasing a rumor is an hour you're not spending on better hooks, better stories and better editing, which are the things the systems actually respond to. Here's the key idea. Recommendation systems try to show each person what they're likely to enjoy, based on what they and similar people actually watch and do. The platforms don't share every detail. But what they do share is consistent: real viewer behavior drives distribution. So make things people genuinely want to watch, finish, share and come back to.

1:18 TikTok For You

Let's start with TikTok. TikTok says For You recommendations are based on a combination of factors. User interactions, like the videos people like, share, comment on, watch to the end or skip, and the accounts they follow. Video information, like captions, sounds and hashtags. And device and account settings, like language preference, country setting and device type, which are weaker signals. TikTok says strong signals, like whether someone finishes a longer video, get more weight than weak ones. And here's the part creators love: TikTok says follower count and previous high-performing videos are not direct factors. That's why a brand-new account can reach many people with one great video.

2:05 Instagram Reels

Now Instagram. Instagram uses different ranking for Feed, Stories, Explore and Reels. For Reels, the head of Instagram, Adam Mosseri, has said the most important signals are watch time, likes per reach and sends per reach. Sends, meaning people sharing your Reel by direct message, matter especially for reaching people who don't follow you yet. Instagram also favors original content. In April 2026, it extended its originality rules, so accounts that mostly repost content they didn't create, or haven't meaningfully changed, aren't recommended to non-followers. Useful features: Trial Reels to test with non-followers first, and Collab posts to reach two audiences.

2:49 YouTube

And YouTube. YouTube says its recommendation system aims to help each viewer find videos they want to watch and to maximize long-term satisfaction. It looks at clicks, watch time, shares, likes and dislikes, and it runs surveys asking viewers to rate videos. YouTube calls highly rated watch time valued watch time, and uses models to predict satisfaction for everyone, not just the people who answer surveys. For Shorts, remember the counting change: since March 31, 2025, a view counts whenever a Short starts to play or replay, and the older, stricter measure is shown as engaged views, which YouTube still uses for Partner Program eligibility and revenue.

3:36 The bookshop owner

Here's an analogy that ties it together. Think of each platform as a busy bookshop owner who recommends books to customers. The owner watches what each customer picks up, how long they read, what they recommend to friends, and whether they come back happy. The owner doesn't care how famous the author is. They care whether readers love the book. TikTok watches for finishing and rewatching. Instagram watches for watching and sending to friends. YouTube watches for satisfaction. Different owners. Same principle.

4:12 Example 1: London hairdresser

A simple example. A London hairdresser hears that Reels over ninety seconds get no reach, so she cuts her tutorials to thirty seconds, and they feel rushed. Then she checks what Instagram actually says. Watch time is a key signal, and Reels can now be up to three minutes. Nothing says long Reels are punished. So she lets her step-by-step tutorials run to about a minute and a half, with tight pacing. They get fewer views than her short clips, but many more saves and sends, and more booking inquiries.

4:51 Example 2: Riyadh food creator

Now a realistic scenario, illustrative. Lina is a food creator in Riyadh with twenty thousand followers. Her reach drops, and a friend says it's because she edits her captions after posting. Instead of panicking, she looks at her own data. Her last six Reels were reposts of recipe clips from other accounts with her voiceover. Instagram's originality rules explain the drop far better than a caption rumor. She switches back to filming her own recipes, uses Trial Reels to test two new formats, and within a few weeks her reach to non-followers recovers.

5:31 Watch me: myth-check

Watch me run the five-step myth-check routine on a rumor: posting at exactly six p.m. doubles your reach. Step one, source. Did the platform say this? I search the help center and official creator accounts. No. Step two, signal. Which published signal would it affect? Timing could change how many of my followers are online when I post, which might affect early interactions. So it's plausible, but not magic. Step three, test. I'll post four similar videos, two at six p.m. and two at nine p.m. Step four, measure. The deciding metric is early retention and shares per thousand views, not raw views. Step five, decide. I only change my schedule if my own data improves across several posts.

6:23 What won't be recommended

A quick word on what the systems won't recommend. Each platform says it may limit recommendations for content that breaks its rules or community guidelines, and some sensitive topics may be shown less widely even when they're allowed. On TikTok and YouTube, repeatedly posting content that isn't original, or that's mass-produced with little variation, can hurt distribution and monetization. So if a video suddenly gets far less reach than usual, check two things before blaming the algorithm. First, did anything in the video break a guideline, like a dangerous stunt or unlicensed music? Second, is it genuinely original and complete? Most mysteries have ordinary explanations.

7:09 Signals and levers

Let's put the common thread in one table. TikTok talks about completion, rewatches, shares, comments and follows, so your levers are hooks, pacing and loops. Instagram talks about watch time, likes per reach, sends per reach and originality, so your levers are shareable value and original uploads. YouTube talks about satisfaction, watch time and engagement, plus search, so your levers are titles, genuinely useful content and links to long-form. The common mistakes: changing strategy based on rumors, chasing likes when shares and watch time matter more, reposting others' content, and judging a Short only by views.

7:51 Recap

Recap. TikTok says For You is shaped by interactions, video information and settings, and follower count isn't a direct factor. Instagram names watch time, likes per reach and sends per reach, and rewards originality. YouTube aims for long-term satisfaction, including survey-based valued watch time. And before believing any rumor, check the source, find the signal, test, measure and decide.

8:17 Try this now

Try this now. Pick one algorithm rumor you've heard recently. Run the five-step myth-check routine in your notes app. Then design a two-week test, using Trial Reels, alternate hooks or paired posts, with one deciding metric written down before you start. In the next module, we'll build a content strategy that balances trends with evergreen content.