Updating live · 1,284 watching now

Know which second made the sale.

AtomicPlayer is the video analytics tool that puts attention, intent, and dollars on one surface — second-by-second retention, full conversion funnels, and revenue attributed back to the exact moment that earned it. As a video engagement platform and video tracking software built for operators, it turns raw plays into decisions with real time video analytics you can act on today.

Analytics · All videos
Last 30 days USD $ LIVE
Total views
248.6k
↑ 12.4%
Avg watch
4:12
↑ 0:38
Conversions
3,184
↑ 9.1%
Revenue
$148k
↑ 18.2%
Plays & revenue · 30 days Plays
Apr 1Apr 10Apr 20Apr 30
Avg retention
62%
↑ 18% vs ind.
Biggest drop
0:47
−32%
Pitch retention
71%
↑ 4%
Replays
8.4k
↑ 6%
Retention · second by second This play Industry
▼ Cliff · 0:47 · −32%
0:000:301:001:30
End-to-end CR
2.5%
↑ 0.4%
View → engaged
65%
↑ 3%
CTA click
13%
↑ 1.1%
Checkout
19%
↑ 2%
Impressions96.4k
Views48.2k 50%
Engaged31.5k 65%
CTA click6.1k 13%
Paid1,204 2.5%
Revenue (MTD)
$148k
↑ 18.2%
Revenue / play
$0.17
↑ 12%
Forecast EOM
$196k
on track
Refund rate
1.8%
↓ 0.3%
Attributed revenue by processor
💳Stripe$68,420
🔥Hotmart$43,180
🥝Kiwify$28,640
🅿️PayPal$7,910
Top countriesby revenue
🇧🇷Brazil$52,180
🇺🇸United States$37,420
🇲🇽Mexico$19,640
🇵🇹Portugal$11,280
Mobile
68%
↑ 4%
Desktop
29%
iOS share
41%
Chrome
58%
1,284
Watching right now
🇧🇷São Paulo0:38
🇺🇸Austin2:14
🇲🇽Guadalajara0:12
🇵🇹Lisbon5:02
🇬🇧London1:47
Which traffic source converts best?
Atomicat AI

Meta Ads converts at 3.1% — 1.8× your average. TikTok drives volume but converts at 1.4%. Shift budget toward Meta for the next cycle.

01 · Retention

What is second-by-second retention?

The aggregated retention curve, an engagement heatmap of every rewatch and skip, and a ranked table of drop-off cliffs with the AI's read on each. It's video tracking software that reads the shape of attention, not just the total — the core of any serious video analytics tool.

Avg retention
62.4%
↑ 5.1% vs prev
Drop-off zones
3
↑ 1 fewer major cliffs
Rewatch hotspots
7
↑ +2 across library
Pitch retention
43.2%
↑ 5.4pt reached offer
Aggregated retention curve
Normalized to 100% length · weighted by views
CurveOverlayBy cohort
This account Industry 44%
0%25%50%75%100% HookCliff · −29%Pitch
0%25%50%75%100%
Engagement heatmap
Bright = rewatched · dark = skipped
AllConvertersBouncers
0%25%50%75%100%
Top rewatch zone: 34% — just before the cliff. Viewers scrub back trying to understand the prior beat. Tighten that transition.
Major drop-off cliffs
Ask AI why
TimeVideoDropLostAI cause
0:47Black Friday VSL · v6−32%8,412Founder backstory · too long
2:18Method intro · main−18%5,208Slow B-roll · low-energy VO
11:30Webinar · cold open−14%4,029Pricing reveal too abrupt
3:42Black Friday VSL · v6−12%3,214Pattern interrupt missing
6:21Testimonial reel−9%1,842Repetitive testimonial style
02 · Funnel

Impression to dollar, every step.

The full conversion funnel with stage-by-stage drop-off, device splits per stage, and the journeys that most often end in a sale — mapped inside your video engagement platform.

End-to-end CR
0.28%
↑ 0.04pt impr → conv
Play rate
64.0%
↑ 2.1pt impr → play
Pitch reach
43.2%
↑ 5.4pt of plays
CTA CTR
12.0%
↑ 1.7pt of pitch
Conversion funnel
Aggregated across all videos
Compare segments
ImpressionsPlayer loads
100.00%
4,582,300start
−53.6% drop
PlaysSmart autoplay engaged
64.00%
2,932,67236.0% step · −1,649,628
−88.0% drop
Pitch reachedWatched past offer
27.60%
1,267,21156.8% step · −1,665,461
−97.4% drop
CTA clickedHit a programmable CTA
3.32%
152,06588.0% step · −1,115,146
−91.6% drop
ConvertedCompleted purchase
0.28%
12,84791.6% step · −139,218
Stage-by-stage device split
Impressions
4,582,300
Mobile
62%
Desktop
28%
Tablet
10%
Plays
2,932,672
Mobile
62%
Desktop
28%
Tablet
10%
Pitch reached
1,267,211
Mobile
62%
Desktop
28%
Tablet
10%
CTA clicked
152,065
Mobile
62%
Desktop
28%
Tablet
10%
Converted
12,847
Mobile
62%
Desktop
28%
Tablet
10%
Top conversion paths
most common journeys to purchase
Meta AdVSL v6PitchCheckout
4,280$184,2000.42%
TikTok AdVSL v6WebinarCheckout
2,130$91,4000.31%
YouTubeMethod introVSL v6Checkout
1,840$78,9200.28%
EmailTestimonialVSL v6Checkout
1,120$47,2100.36%
OrganicVSL v6Checkout
870$32,8400.22%
03 · Revenue

What is video revenue attribution?

Daily revenue split by processor, breakdowns by integration and by video, multi-touch attribution with ROAS, and net revenue after refunds — the numbers most video tracking software can't give you.

Total revenue
$487,142
↑ 32% this period
Conversions
12,847
↑ 24% completed
Avg order
$37.92
↑ 4.8% per conv
Revenue / play
$0.17
↑ 18% avg LTV
Revenue over time
Daily totals · split by integration
StackedSplitTotal
Stripe Kiwify Hotmart Manual
By integration
💳Stripe Connected$204.6k+38%
🟢Kiwify Connected$151.0k+24%
🔥Hotmart Connected$82.8k+18%
✋Manual Connected$48.7k+8%
By video
Black Friday VSL · v6$182.4k4.3%
Webinar #14$129.8k6.1%
Method intro · main$87.2k2.8%
Testimonial reel$56.1k2.2%
Cold open · v3$39.4k1.9%
Multi-touch attribution
Revenue credit across touchpoints
FirstLastLinearData-driven
SourceConv.Revenue creditCPAROAS
Meta Ads first-mid4,280$184.2k$14.203.0x
TikTok Ads first2,130$91.4k$12.803.4x
YouTube mid1,840$78.9k$18.702.3x
Email last1,120$47.2k$4.2010.0x
Organic last870$32.8k——
Influencer mid412$24.5k$22.402.6x
Refunds
$12,047
2.47% rate · ↓ 0.3pt
Chargebacks
$1,820
0.37% rate · ↓ 0.1pt
Net revenue
$473,275
↑ +33% after deductions
04 · Cohorts

Which audience actually sticks.

A cohort retention matrix across eight weeks, your best and worst segments called out, and the multi-dimensional combinations beating your average.

Cohort matrix · source × week
Retention by acquisition source over time
RetentionCRRevenue
W1
W2
W3
W4
W5
W6
W7
W8
Avg
Meta Ads
87%
82%
77%
72%
66%
62%
55%
52%
69%
TikTok Ads
79%
76%
69%
67%
60%
57%
51%
47%
63%
YouTube
83%
79%
73%
69%
64%
59%
54%
48%
66%
Email
71%
65%
63%
57%
54%
48%
46%
40%
55%
Organic
66%
60%
58%
53%
50%
45%
42%
38%
51%
Direct
59%
56%
52%
49%
45%
43%
38%
36%
47%
Top cohort
Email + Brazil
78.4%+22pt vs avg
highest retention · replicate this
Worst cohort
Cold paid + Tablet
24.1%−31pt vs avg
lowest retention · investigate
Multi-dimensional segments
Combinations out-performing the workspace average
Brazil + Mobile + Email+38%
vs avg on CR · 12% of audience
Desktop + YouTube + Webinar+29%
vs avg on Revenue · 8% of audience
Returning + Direct+24%
vs avg on CR · 18% of audience
Portugal + Email+22%
vs avg on Retention · 6% of audience
Mobile + iOS + Pitch reached+18%
vs avg on Revenue · 14% of audience
Desktop + macOS + Long session+15%
vs avg on CR · 4% of audience
05 · Audience

Every viewer, scored.

Per-viewer attention scores plotted against predicted lifetime value, the score distribution, your top identified viewers, and an AI churn-risk watch.

Identified viewers
48,217
↑ +2.4k this period
Avg attention
74
↑ +3pt 0–100 score
Predicted LTV
$184
↑ 12% per viewer
Churn risk
9.4%
↓ 1.1pt 183 flagged
Attention × LTV
each dot = a viewer · size = sessions
AllConvertersAt risk
High attention · High LTV Churn quadrant Attention score →
ConverterReturnerCasualChurn
Score distribution
Top 10%: 92+Median: 71Bottom 25%: <42
Top viewers
identified by email · cookie · UTM
ViewerGeoAttentionLTVSessionsChurn
CLCarlos Lima
carlos@…
🇧🇷96$48714Low
AMAnna Müller
anna@…
🇩🇪88$3129Low
DPDaniel Park
daniel@…
🇰🇷84$25611Low
MSMaria Santos
maria@…
🇵🇹78$1987Medium
SDSophie Dubois
sophie@…
🇫🇷64$984Medium
JWJames Wilson
james@…
🇺🇸38$473High
ECEmma Chen
emma@…
🇸🇬24$182High
183 viewers at risk of churning

Watched 2+ videos this month but haven't returned in 11+ days, attention dropping 14pt on average. Suggested action: a Brazilian-Portuguese re-engagement campaign with a discount CTA — predicted recovery: 38%.

Generate campaignView list
06 · Live

Who's watching right now.

A real-time worldwide monitor, a live event stream of plays, CTAs and conversions, and concurrent viewers over the last hour. This is real time video analytics the moment it happens — no overnight batch, no delay.

Watching now
1,284
Active plays
1,078
↑ streaming
CTA clicks/min
9
↑ live
Revenue / hr
$1,840
↑ live
Live worldwide
each pulse = a viewer playing now
São Paulo · 247Buenos Aires · 94Los Angeles · 58
Live activity
streaming
Conversion · $97 via Kiwify🇧🇷3s
CTA clicked · "47% off"🇺🇸10s
Maria S. started VSL · v6🇧🇷17s
Anon reached pitch (11:32)🇵🇹24s
Conversion · $47 via Stripe🇩🇪31s
Daniel P. resumed Webinar #14🇰🇷38s
CTA · "Continue watching"🇧🇷45s
Carlos L. started Method intro🇧🇷52s
Concurrent viewers · last 60 min
peak today: 2,184 at 14:32 UTC
07 · Replays

Watch what they watched.

Anonymized session replays with a full event timeline — every pause, scrub, CTA hover, and the moment they converted or bounced.

Session replays
4,287 sessions · last 7 days
🇧🇷Carlos Limaconverted
Black Friday VSL · v6
⏱ 7:1218 eventsScore 96
🇺🇸AnonymousCTA click
Method intro · main
⏱ 4:079 eventsScore 78
🇩🇪Anna Müllerconverted
Webinar #14
⏱ 10:1224 eventsScore 88
🇧🇷AnonymousBounced
Black Friday VSL · v6
⏱ 1:294 eventsScore 28
🇰🇷Daniel ParkReached pitch
Black Friday VSL · v6
⏱ 8:4122 eventsScore 84
CL
Carlos Lima · 🇧🇷
Black Friday VSL · v6 · 2h ago
SESSION REPLAY · 5:24 / 7:12
Watching what they watched.
0:02Started watchingplay
0:47Hovered pause at the cliffcliff
1:29Scrubbed back −8sscrub
3:04Unmuted playermute
5:10Hovered CTA (no click)cta
5:24Clicked main CTActa-click
6:51Completed checkout · $97convert
08 · Benchmarks

How does AtomicPlayer benchmark my videos?

Anonymous benchmarks from the AtomicPlayer network — see where you beat the median and where you trail the top 10%, on every metric that matters in a video analytics tool.

Play rate
68.4%
↑ 31%
You
68.4%
Median
52.1%
Top 10%
78.4%
Avg retention
62.4%
↑ 41%
You
62.4%
Median
44.2%
Top 10%
71.0%
Pitch retention
43.2%
↑ 51%
You
43.2%
Median
28.7%
Top 10%
52.4%
CTA CTR
12.0%
↑ 87%
You
12.0%
Median
6.4%
Top 10%
14.8%
Conversion rate
4.3%
↑ 105%
You
4.3%
Median
2.1%
Top 10%
5.8%
Refund rate
2.5%
↑ 41%
You
2.5%
Median
4.2%
Top 10%
1.4%
Avg watch (s)
4m 12s
↑ 50%
You
4m 12s
Median
2m 48s
Top 10%
5m 20s
Revenue / play
$0.17
↑ 113%
You
$0.17
Median
$0.08
Top 10%
$0.24
Where you fall · retention distribution
bell curve of all comparable accounts
Median 44%Top 10% · 71%YOU · 62.4%
You're outperforming on 6 of 8 metrics

Your pitch retention is +14.5pt above the median — your strongest signal. To break into the top 10%, focus on average watch time (you trail the top decile by 68 seconds).

10
Built-in reports
1s
Retention resolution
7
Currencies
Live
Always real time
FAQ

Analytics questions, answered.

If you're asking "what is video analytics?

" at the granular level, second-by-second retention is the answer. It's one of the most important video engagement metrics: a graph showing the percentage of viewers still watching at every 1-second mark. In AtomicPlayer, each second is tied to revenue, so a 32% drop-off cliff at 0:47 is instantly visible as lost dollars. Industry-standard players show retention in 10–20 aggregate buckets, hiding the exact second the money leaked — AtomicPlayer surfaces the video engagement metrics that actually matter for conversion.

Video revenue attribution is the practice of tying each dollar of revenue back to the specific video, play session, and second of viewing that produced it.

AtomicPlayer attributes revenue natively to Stripe, Hotmart, and Kiwify — no Zapier bridge required — and has attributed $180M across 2.4B plays to date, at an average of $0.17 per play.

A good average watch time (also called average view duration) for a Video Sales Letter is roughly 55–65% of total runtime for videos under 5 minutes, and 30–45% for videos 8–15 minutes.

AtomicPlayer's platform median across 2.4B plays is 62% retention — 18.2% above the cross-industry benchmark. Under-60-second product videos should target 65%+ completion. Whether you track it as average watch time or average view duration, the number only becomes actionable when tied to revenue per second — which AtomicPlayer does natively.

If you're asking "what is engagement rate?

" for video, it's the share of viewers who take a measurable action — passing a retention threshold, clicking a CTA, or converting — divided by total plays. Knowing how to calculate engagement rate matters because it separates passive views from revenue-producing behavior. AtomicPlayer reports it per video, per traffic source, and against the second-by-second retention curve. So what is a good engagement rate? Rates swing widely by funnel stage and traffic temperature, making rate engagement comparisons tricky — the useful benchmark is your own baseline vs the AtomicPlayer network, not a single universal number.

Revenue per play (RPP) is total revenue attributed to a video divided by total plays — the clearest single measure of video ROI.

AtomicPlayer's platform median is $0.17/play, with top-quartile VSLs above $0.40. RPP is a better health metric than view count because it isolates monetisation efficiency: a video with fewer plays but higher RPP delivers stronger video ROI and is more profitable to scale ad spend against.

If you're wondering what is a good conversion rate for your funnel, AtomicPlayer answers with data, not guesswork.

It runs an anonymized benchmark network from live plays across its customer base. Published network medians: Play rate 52.1%, average retention 44.2%, pitch retention 28.7%, CTA CTR 6.4%, conversion rate 2.1%, revenue per play $0.08. Top-10% cutoffs: retention 71%, pitch retention 52.4%, CTA CTR 14.8%, conversion rate 5.8%, revenue per play $0.24. Every metric shows your value vs the median and the top decile in one report — so you always know what is a good conversion rate for your category.

AtomicPlayer handles Stripe integration by stamping each play session with a unique play_id and passing it through the checkout flow via a hidden field or metadata parameter.

When a Stripe webhook fires (checkout.session.completed or payment_intent.succeeded), AtomicPlayer reconciles the play_id and credits the video, variant, second, and traffic source that produced the sale. If you're looking at how to integrate Stripe into my website for video attribution, AtomicPlayer's native Stripe integration eliminates the need for third-party middleware. Hotmart and Kiwify use the same Stripe webhook pattern via their own native webhooks.

Stop guessing. Start watching.

Every view, every drop-off, every dollar — measured the moment it happens by the video engagement platform operators trust. It's the one video analytics tool with video tracking software and real time video analytics tied straight to revenue.

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