Posting Frequency tells you how often a creator publishes new content, averaged over a recent window. A creator who posts 30 times a month runs a very different operation than one who posts twice.
Brands use this to gauge consistency and activity level before reaching out. A high-frequency creator can turn around sponsored content faster, while a low-frequency creator may offer more polished, long-form work.
The number is calculated from the last 3 months of published posts, giving a stable average that smooths out one-off bursts or quiet weeks.
Share of profiles where we have enough post history to calculate a reliable frequency.
The pipeline looks at the last 3 months of posts from the collection date, counts them per month, and divides by 3. The result is rounded to 2 decimal places. A separate "recent posts" frequency groups the most recent N posts by month for an additional signal.
The system takes every post with a published date that falls within the 3-month window ending at the profile's snapshot date. Only posts with valid timestamps are included.
NikolaTravels posts about 4 times per week on Instagram but only about 2 times per week on YouTube. That means the posting frequency differs per platform: roughly 14.67 posts/month on Instagram vs. about 8.33 posts/month on YouTube. The number is always calculated per platform, not combined across them.
The raw number maps to a general activity tier. These ranges are guidelines, not hard rules. What counts as "active" varies by platform and niche.
Consistent weekly posting, rarely skips a week
Irregular schedule, big gaps between posts
BorisLifeLog had 5 posts in Month 1 but only 1 in Month 2. Looking at just one month could make him seem either moderately active or nearly inactive. The 3-month average of 3.33 posts/month gives a more honest picture of his actual posting behavior. Brands looking for consistent content partners can quickly see that NikolaTravels maintains a steady cadence while BorisLifeLog is more sporadic.
Posting frequency is a deterministic calculation: count posts, divide by 3. There is no model or prediction involved, so validation focuses on whether post dates are accurate and whether the full set of posts is captured.