LinkedIn Ads paused on 18 May due to poor performance
CTR ≥ 2%
CTR 1–2%
CTR < 1%
Channel
Source
Visitors
Bounce Rate
Visit Duration
Paid Search
YouTube (adwords)
74.084
87%
11s
Paid Social
Instagram
39.632
97%
2s
Email
HubSpot (hs_email)
1.438
85%
1m 03s
Direct
Direct / None
263
71%
4m 21s
Paid Social
LinkedIn
196
95%
5s
Organic Social
Organic Social
97
79%
1m 51s
Organic Search
Organic Search
70
67%
3m 46s
Paid Video
YouTube (Paid Video)
36
70%
3s
Referral
chatgpt.com
4
0%
15m 06s
Tracking discrepancy: YouTube reports 158.804 website visits, Plausible records 74.084 (–53,3%); Instagram reports 53.137 clicks, Plausible 39.632 (–25,4%); LinkedIn 266 vs. 196 (–26,3%). Plausible is the primary analytics source — differences stem from cookie consent and tracking loss.
Traffic by Country
United Arab Emirates
51.559
United Kingdom
24.866
United States
16.495
Germany
11.320
Austria
6.834
Switzerland
2.061
Japan
346
Netherlands
296
France
209
Spain
204
Italy
118
Moldova
98
Poland
91
Ireland
88
Russia
79
Singapore
76
India
70
Canada
67
Greece
63
Pakistan
55
Page Performance
LCP (Largest Contentful Paint)
3,9s
Target ≤ 2,5s
INP (Interaction to Next Paint)
182ms
Target ≤ 200ms
CLS (Cumulative Layout Shift)
0,02
Target ≤ 0,1
FCP (First Contentful Paint)
3,3s
Target ≤ 1,8s
TTFB (Time to First Byte)
1,9s
Target ≤ 0,8s
Field data (CrUX): 26 May 2026
Autoplay
55
Perf.
73
Access.
77
Best Pr.
92
SEO
Thumbnail
69
Perf.
72
Access.
100
Best Pr.
92
SEO
Metric
Autoplay
Thumbnail
Change
Target
FCP (First Contentful Paint)
1,2s
1,2s
unchanged
≤ 1,8s
LCP (Largest Contentful Paint)
3,9s
4,8s
+0,9s (Lab Variance)
≤ 2,5s
TBT (Total Blocking Time)
1.910ms
50ms
–1.860ms (–97%)
≤ 200ms
Speed Index (Visual Load Progress)
5,9s
2,4s
–3,5s (–59%)
≤ 3,4s
CLS (Cumulative Layout Shift)
0,001
0,267
+0,266 (needs attention)
≤ 0,1
Lighthouse Lab: 26 May 2026
Scroll Depth
Hotjar Heatmap · All devices (Desktop + Mobile) · n = 269 · Steep drop after the video area: from 78.3% at 5% to 47.1% at 10% and 29.0% at 15%. Only 13.4% reach the 50% mark and just 3.7% the very bottom. Note: with only 269 of 92k+ visitors sampled (≈0.3%), this is directional, not statistically representative.
Platform
Reach*
Views
Eng.
Eng. Rate
Clicks
CTR
YouTube
4.595
7.294
40
0,9%
—
—
Instagram
18.349
28.652
950
5,2%
51
0,2%
LinkedIn
12.414
4.910
414
3,3%
1.069
8,6%
Total
35.358
40.856
1.404
4,0%
1.120
3,2%
Organic Details
Platform
Content
Reach
Views
Avg. Viewed
Eng.
Eng. Rate
Clicks
CTR
YouTube
Film
982
5.138
42,6%
29
3,0%
—
—
YouTube
Short 01-01
909
126
60%
0
0%
—
—
YouTube
Short 02-01
682
149
53%
0
0%
—
—
YouTube
Short 03-01
980
205
50%
0
0%
—
—
YouTube
Short 01-02
586
974
63%
4
0,7%
—
—
YouTube
Short 02-02
223
225
62%
2
0,9%
—
—
YouTube
Short 03-02
233
477
44%
5
2,1%
—
—
Instagram
Reel 01-01
2.663
4.046
—
205
7.7%
—
0%
Instagram
Reel 02-01
2.313
3.335
—
131
5.7%
—
0%
Instagram
Reel 03-01
1.266
1.863
—
82
6.5%
—
0%
Instagram
Reel 01-02
1.396
2.010
—
72
5.2%
—
0%
Instagram
Reel 02-02
2.077
3.018
—
104
5.0%
—
0%
Instagram
Reel 03-02
1.670
2.386
—
72
4.3%
—
0%
Instagram
Image 01-03
2.019
3.404
—
42
2,1%
—
0%
Instagram
Carousel 02-03
1.772
4.715
—
169
9,5%
—
0%
Instagram
Story 01-01
529
658
—
15
2,8%
14
2,6%
Instagram
Story 02-01
603
778
—
19
3,2%
15
2,5%
Instagram
Story 03-01
406
478
—
5
1,2%
3
0,7%
Instagram
Story 01-02
524
628
—
7
1,3%
9
1,7%
Instagram
Story 02-02
350
424
—
13
3,7%
2
0,6%
Instagram
Story 03-02
357
418
—
5
1,4%
3
0,8%
Instagram
Story 01-03
404
491
—
9
2,2%
5
1,2%
LinkedIn
Post 01-01
2.329
1321
—
98
4.2%
103
4.4%
LinkedIn
Post 02-01
2.273
1399
—
82
3.6%
113
5.0%
LinkedIn
Post 03-01
1.067
384
—
33
3.1%
31
2.9%
LinkedIn
Post 01-02
1.892
768
—
40
2.1%
87
4.6%
LinkedIn
Post 02-02
1.469
597
—
48
3.3%
48
3.3%
LinkedIn
Post 03-02
1.058
441
—
35
3.3%
38
3.6%
LinkedIn
Post 01-03
1.086
—
—
18
1.7%
31
2.9%
LinkedIn
Post 02-03
1.240
—
—
60
4.8%
618
49.8%
* YouTube reports Impressions (how often a thumbnail was shown); Instagram and LinkedIn report Reach (unique accounts that saw the content). Values are not directly comparable.
The campaign reached 115.968 unique visitors on the landing page, exceeding the target of 50.000+ by 132%. Of these, around 64% arrived via paid YouTube traffic at a CPM of CHF 0,95, establishing it as the dominant channel, with paid Instagram contributing a further 34% for this format.
The Travis Roderick film is embedded on the landing page via YouTube; views are therefore counted through YouTube reporting. The film was viewed 5.138 times on YouTube, exceeding the 4.000+ target. Cost per visit, by contrast, came in at CHF 0,074, well below the CHF 0,50 ceiling and the most efficient metric of the campaign.
Video completion averaged 42,6% (avg. watch time 2:33 of 6:00), short of the 50% target. Across the Hotjar sample (n=269), scroll depth dropped sharply: only 13,4% reached the 50% mark and just 3,7% the bottom of the page. With 269 of 92k+ visitors tracked (≈0,3%), this is directional only and not statistically representative.
Form submissions remain untracked for this period.
KPI
Goal
Result
Status
Website Visitors
50.000+
115.968
232% of goal
Film Views
4.000+
5.138
128% of goal
Cost per Visit
≤ CHF 0,50
CHF 0,074
85% below target
Video Completion
50%+
42,6%
below target
Scroll Depth
50%+
13,4% reach 50% of page
not representative (n=269 of 116k)i
Form Submissions
—
TBD
—
Interpretation
Below, I provide my interpretation of the data. This can only be partially substantiated with figures, as the available tracking data has its limitations.
Overall, the campaign was very successful. With the same budget, the ad performance could be improved over that of the campaign in autumn. Generally speaking, it can be concluded that the format of short video ads that direct users to a landing page works well. What we still need to optimise is ensuring that the landing page, or the offer presented there, delivers what the ad promises.
The performance, technical setup and layout of the website remain the biggest problem in the current setup and caused a huge loss in on-page conversions. This is well known, and the website relaunch is planned for 2027. Against this backdrop, further optimisation of the existing website is simply not economically justifiable.