LinkedIn, as far as the tracker goes
Eighteen dated rows, 28 April to 29 June 2026. Seventeen with recorded clicks. One case-study post took 48.0% of those clicks. Impressions, reach, reactions, comments and CTR remain blank, not zero. Months outside Apr–Jun are unknown.
Partial via the 17 Sep 2026 report: 18 dated Post Tracker rows from 28 Apr–29 Jun 2026, 17 with recorded clicks (352 total). Impressions, reach, reactions, comments, CTR and leads were mostly blank. Direct Cursor access still hits a login wall. Months outside Apr–Jun are unknown, not zero.
- Founder (public)
- Karim Youssef, CEO & Chief Guru, since April 2023. 11,686 followers, 500 connections. Dubai, United Arab Emirates.
- Tracker (Apr–Jun 2026)
- 18 dated rows, 17 with clicks, 352 clicks. Median 12. Followers gained 7. Reposts 5.
Profile About states a public funnel heuristic: 100 outbound activities → 1 meeting; 2 of 3 meetings attended; 1 of 4 attended meetings → proposal; 3 of 20 proposals → contract; 9 of 10 contracts signed; ~4,500 touches → 1 contract.
That funnel math is profile copy, not Pipeline Gurus operating results for 2025–2026. Company page fetch timed out. Via founder profile: 10–20 (+30% YoY).
Recorded clicks: one post versus the rest
Individual post-level clicks beyond the 169 / 183 split were not transcribed as a full series. This chart does not invent the other sixteen bars.
View series as a table
| name | Clicks |
|---|---|
| 10 June Gulf banking case study | 169 |
| Other 16 measured posts | 183 |
Cadence versus Organic Social (n=3)
The only overlapping monthly content series. Coefficients are reported because the brief asked; with three observations they have no inferential value.
View series as a table
| Month | Dated tracker rows | Organic Social sessions | Total sessions |
|---|---|---|---|
| Apr 2026 | 1 | 94 | 1,716 |
| May 2026 | 4 | 73 | 716 |
| Jun 2026 | 13 | 74 | 744 |
LinkedIn → site relationship
Observed
- Founder brand exists at material follower scale (11,686).
- 18 dated tracker rows Apr–Jun 2026; cadence rose 1 → 4 → 13.
- 10 June Gulf banking case-study post generated 169 of 352 recorded clicks (48%).
- Organic Social sessions were 94, 73 and 74 in Apr–Jun despite the cadence rise.
- Site CTAs do not deep-link to a documented LinkedIn UTM scheme.
- Case studies would be natural LinkedIn destinations if they had permalinks.
Correlated (unusable n)
- Dated posts vs Organic Social r = −0.66 (n=3): statistically unusable.
- Dated posts vs total sessions r = −0.68 (n=3): April paid volume confounds the pair.
- Dated posts vs Organic Search r = −0.44 (n=3): no same-month positive relationship.
Hypothesised
- A direct proof-led website CTA produced the click outlier. This is a signal, not proof, because reach is missing.
- Without UTMs, LinkedIn-influenced visits may appear as Direct or Unassigned in GA4.
Unsupported
- Any statement that LinkedIn posting volume caused a traffic month to rise or fall.
- Any impression total, CTR, or posts-per-week figure outside the 18 dated rows.
- Lag tests (+1 to +30 days): the daily Notion–GA4 table is sparse and includes a 5,000% engagement row.
Correlation and lag
| Relationship | Strength | n | Interpretation |
|---|---|---|---|
| Monthly dated posts ↔ Organic Social sessions | −0.66 | 3 (Apr–Jun 2026) | Tracker rows rose 1 → 4 → 13 while Organic Social moved 94 → 73 → 74. No evidence that posting volume alone created a traffic step-change. |
| Monthly dated posts ↔ total sessions | −0.68 | 3 | April had paid volume despite only one tracker row. Channel campaigns confound the relationship. |
| Monthly dated posts ↔ Organic Search sessions | −0.44 | 3 | No same-month positive relationship. Organic Search rose from 142 in June to 253 in July: a plausible lag, not a coefficient. |
| Impressions ↔ website sessions | Not computed | 0 | Impressions were mostly blank in the tracker. |
| Organic traffic ↔ content publishing volume (blog) | Not computed as a coefficient | 15 months of zero posts | There is no in-window blog-publishing variance to correlate with organic. Any organic series must be explained by residual archive, the 2026 commercial pages, or off-site activity: not by new articles. |
- Lag same day: Not run. The Notion–GA4 LinkedIn table covers only 16 Apr–19 May 2026, uses tiny daily volumes, has blank Posts Published values for most rows, and records a 5,000% engagement rate on 13 May. Any coefficient would be mathematically precise and analytically misleading.
- Lag +1 day: Not run. The Notion–GA4 LinkedIn table covers only 16 Apr–19 May 2026, uses tiny daily volumes, has blank Posts Published values for most rows, and records a 5,000% engagement rate on 13 May. Any coefficient would be mathematically precise and analytically misleading.
- Lag +3 days: Not run. The Notion–GA4 LinkedIn table covers only 16 Apr–19 May 2026, uses tiny daily volumes, has blank Posts Published values for most rows, and records a 5,000% engagement rate on 13 May. Any coefficient would be mathematically precise and analytically misleading.
- Lag +7 days: Not run. The Notion–GA4 LinkedIn table covers only 16 Apr–19 May 2026, uses tiny daily volumes, has blank Posts Published values for most rows, and records a 5,000% engagement rate on 13 May. Any coefficient would be mathematically precise and analytically misleading.
- Lag +14 days: Not run. The Notion–GA4 LinkedIn table covers only 16 Apr–19 May 2026, uses tiny daily volumes, has blank Posts Published values for most rows, and records a 5,000% engagement rate on 13 May. Any coefficient would be mathematically precise and analytically misleading.
- Lag +30 days: Not run. The Notion–GA4 LinkedIn table covers only 16 Apr–19 May 2026, uses tiny daily volumes, has blank Posts Published values for most rows, and records a 5,000% engagement rate on 13 May. Any coefficient would be mathematically precise and analytically misleading.