Content Timing

Publish when your power fans are watching.

Platform "best time to post" guides are based on global averages that don't apply to your audience. Fanlytiq builds a personalized timing model from your actual power fans' engagement patterns — by platform, by content type, and by week.

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How It Works

A timing model built from your power fans' actual behavior

Platform-wide posting guides are built from millions of accounts. Your power fans are not millions of accounts — they're a specific 300–800 people with specific activity patterns. Fanlytiq builds the timing model from them.

How it works
Tracks when your power-fan segment is active on each platform
Correlates past publish times with first-48-hour performance
Segments timing recommendations by content format
Updates the model weekly as audience patterns evolve
What you see
Weekly heatmap of power-fan activity by platform
Top 3 recommended publish windows for next 7 days
Historical performance by publish time vs. recommended
Cross-platform timing conflict alerts
What you do
Schedule content at Fanlytiq-recommended windows
Stagger cross-platform releases to avoid cannibalizing each other
Time your highest-value content at peak power-fan windows
Align sponsorship placements with peak engagement times

Timing Model

Same niche. Three creators. Three completely different optimal windows.

The generic guide says "post Tuesday at 9am." Here's what Fanlytiq's per-creator timing data actually shows.

Generic guide says: "Post Tuesday 9am" Your actual optimal windows: Creator A Finance niche, 42K subs Thu 8pm PT Power fans are commuters checking phone at night Tue 9am → only 12% of power fans active +67% first-hour reach vs generic guide Creator B Lifestyle niche, 88K subs Sat 10am PT Power fans are parents with weekend morning time Tue 9am → only 8% of power fans active +89% first-hour reach vs generic guide Creator C Tech niche, 24K subs Tue 6pm PT ✓ Power fans are engineers checking content after work Guide happened to be right for this creator (rare) Same result confirmed by power-fan data

Use Cases

How creators use content timing

YouTube Creator

Nina moved her Tuesday 9am uploads to Friday 7pm and saw first-hour views double

Her Fanlytiq heatmap showed her power fans were predominantly in European time zones — active in the evenings, not US mornings. She adjusted her schedule to align with that overlap window. Her last 8 videos have all hit their peak view velocity in the first 4 hours rather than taking 48 hours to ramp.

Newsletter Creator

Carlos shifted his send time by 3 hours and his open rate went from 38% to 54%

He was sending at 8am thinking people would read it first thing in the morning. Fanlytiq showed his power readers opened email during the 11am work lull. Moving to 10:45am sends immediately improved his open rate by 16 points — the single biggest improvement he'd made to his newsletter in two years.

Multi-Platform Creator

Yuki used timing data to stagger YouTube and newsletter releases without cannibalizing each other

She was releasing her YouTube video and newsletter on the same day. Fanlytiq showed significant audience overlap between them — fans who watched the video were 3x less likely to open the newsletter within 48 hours. She now staggers releases by 3 days and both channels perform better.

Stop guessing when to publish.

14-day free trial. No credit card. Get your first personalized timing report today.

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