FAST Channel Analytics — What to Measure and What It Means
The key metrics for FAST channel operators — concurrent viewers, average watch time, ad impressions, fill rates, CPMs, and how to use analytics to make programming and scheduling decisions.
FAST channel analytics are fundamentally different from YouTube analytics. YouTube measures clicks, views, and subscriber growth. FAST measures viewership patterns more like traditional TV — concurrent viewers, tune-in rates, time-shifted viewing, and average commercial break exposure.
Understanding what to measure, what it means, and how to act on it separates operators who grow from operators who plateau.
Core viewership metrics
Concurrent viewers
The number of devices actively watching your channel at any moment. This is the most immediate signal of channel health.
What to track:
- Peak concurrent viewers (what's the max you've hit?)
- Typical concurrent viewers by daypart (how many watch at 8 PM vs. 2 AM?)
- Trend over time (growing, flat, or declining?)
Benchmark: A new independent channel typically starts under 50 concurrent viewers. A healthy mid-sized channel runs 200-1,000 concurrent. Large channels run 5,000+.
Monthly viewing hours
Total hours of content consumed across all viewers in a month. More useful than raw view count because it weights long-form viewing appropriately.
Why it matters: Monthly viewing hours is the primary metric ad networks use to price your inventory. More hours = more ad impressions = more revenue potential.
Average session length
How long a typical viewer watches in a single session before leaving.
Benchmark: TV watching sessions average 30-60 minutes. Short sessions (under 15 minutes) suggest the channel isn't holding attention — possibly a content issue, a scheduling issue, or technical problems (buffering).
Tune-in rate by show
Which content is triggering tune-ins? When you premiere a new show or move content to a primetime slot, does your concurrent viewer count increase?
Tune-in spikes around specific titles tell you which content your audience comes to your channel specifically to watch. These are your "tent pole" titles — worth protecting in your schedule.
Ad metrics
Ad impressions
The total number of ads served across all viewers. Impressions = concurrent viewers × ad breaks per hour × hours watched.
Fill rate
The percentage of available ad break inventory that was filled with a paying advertiser. Critical for revenue optimization. See Ad fill rate optimization for a deep dive.
eCPM (effective CPM)
Your blended revenue per thousand impressions, accounting for both fill rate and CPM. Calculated as:
eCPM = (Total ad revenue / Total ad impressions) × 1000
eCPM is the most useful single-number summary of ad monetization efficiency. A high gross CPM with low fill produces a lower eCPM than a moderate CPM with high fill.
Programming analytics
Content performance by title
Which shows or episodes have the highest average watch time? The highest tune-in rates? The best viewer retention (people who start watching and don't leave)?
This tells you what to program more of, what to put in primetime, and what to de-emphasize.
Dropout rate by position in schedule
If viewers consistently leave after a specific show ends, the following show may be a weak link in the programming chain. Re-order your schedule so strong content follows strong content.
Time-to-tune-in on channel launch
How quickly do viewers start watching after the channel first becomes visible to them (from discovery)? Longer time-to-first-view suggests the channel listing (name, description, thumbnail) isn't compelling enough to trigger immediate tune-in.
What to watch weekly
A practical weekly analytics review:
- Concurrent viewers: peak and typical. Is this week's peak higher or lower than last week's?
- Total viewing hours. Month-over-month trend is more meaningful than week-over-week for small channels.
- Fill rate. Has anything changed since last week?
- Dropout points. Did any slot changes this week affect dropout patterns?
Monthly review:
- eCPM trend — are you getting more efficient at monetization?
- Top 10 content pieces by total viewing time
- Daypart performance — which time windows are growing?
Warning signs
Suddenly lower concurrent viewers: Check for technical issues first (buffering, stream outage, EPG errors). If technical is fine, look at schedule changes — did you move a tent-pole show?
Fill rate drop below 30%: Check your ad tag, your SSAI configuration, and your ad server health. A fill rate drop is often a configuration problem before it's a demand problem.
Session length dropping: Indicates content quality or schedule quality problems. Viewers are finding less reason to stick around.
Viewership not growing after 3 months: Check your content freshness (are you adding new content?) and your channel promotion (are you doing any?). Organic FAST discovery is slow without content additions.
Benchmarks by channel size
| Monthly viewing hours | Typical concurrent viewers | Typical eCPM (US) | Monthly revenue estimate |
|---|---|---|---|
| 5,000 | 10-30 avg | $3-$6 | $75-$150 |
| 25,000 | 50-150 avg | $5-$10 | $625-$1,500 |
| 100,000 | 200-500 avg | $7-$14 | $4,375-$8,750 |
| 500,000 | 1,000-2,500 avg | $9-$18 | $27K-$56K |
These are illustrative. Actual numbers vary enormously by content category, US vs. global audience mix, and monetization setup.
What's next
Ready to launch your TV channel?
Vidiyo handles the infrastructure (HLS playout, SSAI, EPG, and cross-platform distribution) so you can focus on programming.
Start free. No credit card.