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Growth & Trends

Views Growth

Track a creator's audience growth trajectory by comparing current average views to historical averages over 3, 6, 9, and 12 months.

Instagram · YouTube · TikTok Validation ↓
average views +34%
12m ago 6m now
long-form short-form

We compare a creator's current average views against snapshots from 3, 6, 9, and 12 months ago to show whether their content performance is trending up, down, or flat. Long-form and short-form content (e.g. YouTube videos and Shorts) are tracked separately because growth patterns often differ between formats.

1

Coverage

Share of Instagram, YouTube and TikTok profiles where we can calculate at least one growth period.

Coverage by Platform

Instagram ~80% profiles with growth data
YouTube ~82% channels with growth data
TikTok ~78% creators with growth data
Why less than 100%?

Growth requires historical data. Creators who are new to a platform, post very infrequently, or were recently added to our index may not have enough historical snapshots to compute a meaningful growth percentage. Coverage increases the longer a creator is tracked.

2

How It Works

Periodic snapshots of a creator's average views are stored. Growth is the percentage change between the current average and each historical snapshot, calculated separately for long-form and short-form content.

Calculation Timeline

Average views at each snapshot (long-form example)
18.2K 12m ago
+14% →
20.8K 9m ago
+22% →
22.2K 6m ago
+30% →
23.7K 3m ago
+34% →
24.4K Now
↓
How growth is calculated
Growth % =
( Current avg views - Historical avg views ) Historical avg views
× 100
Format-aware tracking

Long and short form content are tracked in separate timelines. A creator might show +40% growth on short-form videos while their long-form videos stay flat. Both lines are available independently.

3

Reading Growth Data

Each growth percentage tells you something different depending on the period and the direction. Here is how to interpret the numbers at a glance.

Interpreting Growth Percentages

+34% 3-month growth

Strong recent growth. Views are climbing fast in the short term. High momentum right now.

-12% 6-month growth

Declining mid-term. Views were higher 6 months ago than today. Possible audience loss or content shift.

+5% 12-month growth

Stable long-term. Modest year-over-year growth. Consistent but not accelerating.

Combining periods tells the full story

A creator with +40% at 3 months but -5% at 12 months recently recovered from a dip. A creator with +5% at 3 months and +50% at 12 months had a big earlier surge that has since plateaued. Looking at all four periods together reveals the shape of the trajectory, not just a single snapshot.

Views Growth for Two Illustrative Profiles

NikolaTravelsTravel · 3 platforms
Long-form growth
3-month+12%
6-month+28%
9-month+37%
12-month+45%

Consistent upward trajectory across all periods. Travel content gaining traction as the audience grows steadily.

Verdict Strong upward trend
BorisLifeLogLifestyle · 2 platforms
Long-form growth
3-month+5%
6-month-8%
9-month+2%
12-month+15%

Mixed signals. A dip around 6 months ago suggests a rough patch (fewer uploads or a content shift), but the 12-month number shows overall positive direction.

Verdict Inconsistent trajectory
What the comparison reveals

NikolaTravels shows growth that accelerates over time, with each period higher than the last. This is the profile of a creator building momentum. BorisLifeLog has a positive 12-month number but a negative 6-month figure, meaning there was a mid-year dip. Brands looking for reliable reach would favor the steady trajectory. Brands willing to take a bet on recovery might still consider the mixed one, but with full awareness of the inconsistency.

4

Validation

Views Growth is computed deterministically from view counts, so validation focuses on two things: the accuracy of the underlying view counts, and the completeness of our historical data at each snapshot period.

The Two Validation Tracks

View Count Accuracy
  • Deterministic calculation from stored view counts, no prediction or estimation involved
  • View counts are validated against current profile data on a rolling basis
  • Drift checks flag accounts where stored counts diverge from current profile data
  • Outlier detection catches sudden spikes that may indicate data errors rather than real growth
Historical Completeness
  • Snapshot coverage audits check that historical averages exist for each required period
  • Gaps are flagged and growth percentages only published for periods with complete data
  • Stratified review ensures completeness holds across platform, niche, and follower size
  • Creators added recently may show fewer periods until enough history accumulates
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