Free YouTube Embed — Variant Reach Funnel

split: promoteYoutubeEmbed = variant funnel built from page-reach segments
Date range: 06/13/2026 – 06/29/2026 · 466 sessions · Source: Microsoft Clarity — one export per visited-URL filter

How this funnel is built

Each step is a separate Clarity export filtered to sessions that visited that page type (e.g. "Visited URL starts with /y/"). So a step's number is how many sessions reached that page — a real reach count. The watch itself happens on the /y/ pages (the free embed); those pages have no Play event, so /y/ reach — not the Play metric — is the watch signal.

Reach funnel — % of home visitors

Bars are share of the 391 sessions that reached the home page. These are overlapping reach sets (a watcher is usually also counted in home/content), ordered by size. Counts come straight from the per-segment exports.

How to read this funnel: Inside / right of each bar = how many sessions reached that page, and what share that is of the 391 home visitors (e.g. “113 sessions · 28.9% of home”). Red line between bars = how many home visitors did NOT reach the next page.
Visited Homepage televika.com/
391 sessions · 100% of home
391 sessions reached home (83.9% of all 466)
278 of 391 home visitors (71.1%) did NOT reach the campaign tag
Visited the Campaign tag /tag/Watchforfree
113 sessions · 28.9% of home
113 sessions
219 of 391 home visitors (56.0%) did NOT reach a movie /m/ page  (more reach content than the tag — many open /m/ directly)
Visited a Content page /m/… title pages
172 sessions · 44.0% of home
172 sessions
346 of 391 home visitors (88.5%) did NOT reach a watch /y/ page
Visited a Watch page /y/… — the free embed WATCH
45 sessions · 11.5% of home
45 sessions
End to end: 45 of 391 home visitors (11.5%, or 9.7% of all 466 sessions) reached a /y/ watch page — the free embed. Reaching the watch step is the bottleneck; engagement once there is very high (see below).

Same funnel, by unique users — % of home users

The funnel above counts sessions; this one counts unique users (a person who came back across two sessions is counted once). Bars are share of the 330 users who reached the home page. Same reading as above: right label = [users who reached the page] · [% of the 330 home users]; red line = home users who did NOT reach the next page.

Visited Homepage televika.com/
330 users · 100% of home
330 users reached home (92.2% of all 358)
230 of 330 home users (69.7%) did NOT reach the campaign tag
Visited the Campaign tag /tag/Watchforfree
100 users · 30.3% of home
100 users
195 of 330 home users (59.1%) did NOT reach a movie /m/ page
Visited a Content page /m/… title pages
135 users · 40.9% of home
135 users
291 of 330 home users (88.2%) did NOT reach a watch /y/ page
Visited a Watch page /y/… — the free embed WATCH
39 users · 11.8% of home
39 users
End to end: 39 of 330 home users (11.8%, or 10.9% of all 358 users) reached the free embed. Nearly identical to the session funnel — watching isn't driven by a few people with many sessions; it's ~1 in 9 distinct visitors.

Engagement deepens at every step — active and total time

Each row is that segment's own averages. The further into the funnel a session gets, the longer it stays and the more it browses. Total time (full session length) climbs even faster than active time.

Reached…SessionsUsersPages / sessionActive timeTotal timeScrollLogin
All variant sessions4663582.881:272:5782.8%14.0%
Home3913303.101:343:1082.2%15.6%
Campaign tag1131004.171:334:3984.3%9.7%
Content /m/1721355.193:116:0387.6%13.4%
Watch /y/45398.336:0011:4086.8%2.2%

Total session time climbs 2:57 → 3:10 → 4:39 → 6:03 → 11:40 (min:sec). Sessions that reach the free embed run ~4× the overall total time (11:40 vs 2:57) and browse 8.3 pages. Note login drops to 2.2% at the watch step — people watch the free embed without signing in.

Prior knowledge effect — email recipients vs cold visitors

Within the variant, one group received the "Watch for Free" email (campaign freech10, 150 sessions) — so they arrived knowing free watching exists. Everyone else (the variant minus that campaign = 316 sessions) entered cold and had to discover it. Same product, different expectation — does it change behaviour?

Televika Watch for Free email
The freech10 email
What the email set up: subject "Good news: Watch for free!", headline WATCH FOR FREE, body "Starting today, free access to movies and series on Televika is now available… start watching without any subscription" with a "Watch For Free" button. Recipients clicked through already expecting free content — so we'd expect them to push deeper toward the /y/ watch pages than people who stumbled in cold.
Result: email recipients reach the campaign offer tag at ~1.9× the rate (40.8% vs 21.7% of home) and the free watch page somewhat more often (13.6% vs 10.2%).
📧 Email cohort — freech10 · 150 sessions
Home
147 · 100%
147 sessions
87 (59.2%) did NOT reach the free-watch tag
Free-watch tag /Watchforfree
60 · 40.8%
60 sessions
94 (63.9%) did NOT reach a movie page
Content /m/
53 · 36.1%
53 sessions
127 (86.4%) did NOT reach a watch page
Watch /y/ WATCH
20 · 13.6%
20 sessions
🔍 Everyone except the campaign · 316 sessions (total − email cohort)
Home
244 · 100%
244 sessions
191 (78.3%) did NOT reach the free-watch tag
Free-watch tag /Watchforfree
53 · 21.7%
53 sessions
125 (51.2%) did NOT reach a movie page
Content /m/
119 · 48.8%
119 sessions
219 (89.8%) did NOT reach a watch page
Watch /y/ WATCH
25 · 10.2%
25 sessions

Right-side label = [sessions that reached the page] · [% of that cohort's home visitors]; red line = home visitors who did NOT reach the next page.
The cold cohort is the whole variant minus the email cohort, computed step by step (so 150 + 316 = 466, and e.g. the free-watch tag = 113 total − 60 email = 53 cold). The free-watch tag tells the story: 40.8% of email recipients reach it vs 21.7% of cold visitors — the email lands people on the dedicated offer page.

Takeaway: prior knowledge clearly pushes people toward the offer. Email recipients reach the campaign tag /Watchforfree at ~1.9× the rate (40.8% vs 21.7% of home visitors) and reach the free watch page somewhat more often (13.6% vs 10.2%). Notably, cold visitors reach movie pages more (48.8% vs 36.1%) — much non-campaign traffic (aparat / Google) lands straight on a title — yet they convert onward to the watch page slightly less. So the email's strongest, clearest effect is funnelling people through the dedicated free-watch offer page.

Variant snapshot (all 466 sessions)

466
Sessions
358 unique · 81% new
2.88
Pages / session
1:27 / 2:57
Active / total time (min:sec)
11.25s
LCP (load)
82% mobile
14.0%
Logged in
0.64%
"Play" event
not the watch count — /y/ has no Play

Why mobile — and is the homepage promo actually working?

First, why this whole report leans on mobile behaviour: 79% of variant sessions are mobile. So the mobile homepage is where the promotion has to land.

Device breakdown: Mobile 79%, PC 16%, Tablet 5%
DeviceShareSessions
📱 Mobile79.07%393
💻 PC16.30%81
📟 Tablet4.63%23

Nearly 4 in 5 sessions are on a phone — the promo's success rides on the mobile homepage.

The mobile homepage click map answers it: the three most-tapped elements are all the "Watch for Free" promotion. Of 262 taps across 44 clickable elements, the top three are the promo block — the free-watch hero and its two CTAs:

RankElement tappedClicksShare of all taps
1“Watch for Free” hero banner4316.41%
2“View Collection” button4115.65%
3“Explore All” button145.34%
4(close icon)134.96%
Mobile homepage click map - hero and Explore All
Top of the mobile homepage — the WATCH FOR FREE hero (#1) and “Explore All” (#3)
Mobile homepage click map - View Collection
Same page — the “View Collection” CTA (#2) under the hero
Takeaway: the promotion earns the attention it's given — together the three promo elements pull ~37% of all homepage taps. People who land on the mobile home page do engage with the free-watch offer. The funnel's leak isn't that the promo is ignored — it's getting more people deep enough to actually watch.

What this funnel says

11.5%

The watch page is reachable but narrow

45 of 391 home visitors reach a /y/ free-embed page. The watch path works — but only about 1 in 9 home visitors travels it.

11:40

Reaching the embed = huge engagement

Watch-page sessions average 8.3 pages, 6:00 active and 11:40 total (min:sec) — roughly 4× the overall session. When the free embed is reached, people stay.

172 > 113

Content is reached more than the tag

More sessions reach a /m/ content page (172) than the campaign tag (113), so a lot of content reach comes from direct aparat/Google entry, not the tag flow.

2.2%

Watchers don't log in

Login falls from ~15% at home to 2.2% at the watch step — the free embed is consumed without an account, by design.

~56%

Biggest drop is home → deeper

From 391 home visitors, 172 reach content and only 45 reach a watch page. Most of the loss is between landing and getting into a title.

8.13s

Watchers see a faster page

The /y/ segment's LCP is 8.13s vs 11.25s overall — the people who get to the embed experience a lighter load than the cohort average.

Method & caveats

Source: five Clarity exports for split_promoteYoutubeEmbed = variant, 06/13–06/29/2026 — one unfiltered (466 sessions) plus one per visited-URL filter: home ^…/(\?.*)?$ (391), content starts with /m/ (172), tag /tag/Watchforfree (113), watch starts with /y/ (45).

Reach, not a strict sequence: each segment counts sessions that visited that page type, so the sets overlap (a watcher is also counted under home/content). Steps are ordered by size and labelled "% of home visitors"; they are not nested drop-offs. Cross-segment Top-pages confirm the overlap (e.g. of 45 watch sessions, 40 also visited home and 20 the tag).

Time metrics: both Clarity figures are reported per segment — Active time (engaged time) and Total time (full session length). Bots are excluded from Clarity's rates; bot counts per segment are small (14 / 11 / 9 / 4 / 1) and don't change the picture.

Watch tracking: /y/ pages carry no Play event, so the Play metric (0.64%) is not the watch count; /y/ reach (45 sessions) is the available watch signal.
Generated from per-segment Clarity exports (visited-URL filters) · split promoteYoutubeEmbed=variant · Televika.com (React Asparagus) · 06/13–06/29/2026