LinkedIn report.

LinkedIn, structured monthly and year-over-year — the near-doubling of followers and what drove it.

Quick Summary

LinkedIn summary

Followers jumped by 348 to 4,259, a big step up from last cycle's 26. Paolo's work on commenting drove most of that growth.
Our LinkedIn articles are now being cited by AI tools: shipping swag to India, shipping to Mexico, summer swag ideas, and conference swag ideas.
UGC still leads. Mica's BA team meetup post pulled 39 reactions, and the Offsite projects post reached 498 impressions.
Next steps: Keep scaling the commenting and UGC engine that is driving the follower growth, and keep an eye on which articles AI picks up.

Where we are now

4,259

Followers (Aug 2, 2026)

+348

Followers added this cycle (3,911→4,259)

+1,287

Followers added, last 3 months

2–3+

Posts per week (incl. articles)

Monthly follower growth

2026

Aug4,259

Jul3,911

Jun3,738

May2,972

Apr2,726

Mar2,264

Feb2,248

Jan2,229

2025

Dec2,222

Nov2,213

Oct2,196

Sep2,115

Aug1,867

Jul1,858

Jun1,852

May1,843

Total LinkedIn followers, end of each month, grouped by year, most recent first. Highlighted: Aug ’26. Roughly flat through mid-2025, a step up in Sep 2025, then a steep climb from Apr 2026 as employee/UGC posting scaled.

Open any report (full detail)

Click any report to open its full bi-weekly write-up — follower count, the goal vs what actually happened, every post with its reactions / impressions / comments, what went well, which LinkedIn articles AI is now citing, and the content-strategy takeaways. Bars show total followers at each report; the latest is open by default.

Each bar = total followers at that report · click to open it

Compare any two months (YoY / MoM)

Pick any two months to compare total followers — the same month a year apart for year-over-year, or any two months (say Jan vs Jun) for month-over-month or a custom range. The total and the change recompute live.

From → To

Defaults to Jun ’25 → Jun ’26 (year-over-year, +1,886 / +102%). Pick the same month a year apart for other YoY reads, or any two months — e.g. Jan ’26 → Jul ’26 — for month-over-month or a custom range. Data runs May ’25–Jul ’26.

The annual table

Month	Followers	Net add
Aug ’26	4,259	+348
Jul ’26	3,911	+173
Jun ’26	3,738	+766
May ’26	2,972	+246
Apr ’26	2,726	+462
Mar ’26	2,264	+16
Feb ’26	2,248	+19
Jan ’26	2,229	+7
Dec ’25	2,222	+9
Nov ’25	2,213	+17
Oct ’25	2,196	+81
Sep ’25	2,115	+248
Aug ’25	1,867	+9
Jul ’25	1,858	+6
Jun ’25	1,852	+9
May ’25	1,843	—

What content works

The pattern is consistent across 15 months of bi-weekly reviews: people, not products. Posts that feature teammates — and tag them, so the post reaches their networks — carry the page.

Content type	Typical reactions	Read
UGC (teammate-tagged)	15–60+	Best for reach; tagging expands to members’ networks. Top performer overall.
Welcome / company culture	10–40+	Welcome posts tag a new hire → outsized impressions (Sebas 2.5k, Viole 1.3k).
Events (tagged)	High in clusters	Compilations & post-event reels spike (4-events compilation: 1,016 impr / 36).
Swag / product	7–13	Reliable underperformer. Keep minimal and non-sales-y.
LinkedIn articles	Mid reactions	An AI-citation play (see GEO); native analytics are limited.

Post	Type	Impressions	Reactions	Comments
Sebas welcome post	Company culture	2,543	91	—
Mica 2-year work anniversary	UGC	1,431	42	13
Viole welcome post	Company culture	1,280	37	4
4 events compilation	Event	1,016	36	1
Connor PerkUp crew	Company culture	904	30	3
TechCrunch Adri	UGC (tagged)	—	63	15

How to read this

Followers are the reliable trend; per-post metrics are noisy. Reposted and teammate-account posts often have no analytics, so engagement totals undercount. Judge direction, not single posts.
The Apr–Jun ’26 surge is the story. Activating employee profiles and UGC — not more company-page posts — drove +1,233 followers in three months.
Timing matters. Aim for ~8–9am ET; avoid Fridays (consistently the weakest day).
Articles serve a different goal. They underperform on native engagement but feed AI citations — measure them on AI visibility, not likes.

Source: #marketing Slack recurring reports. Figures are point-in-time as reported by the marketing team; re-pull before quoting externally. Underlying data: the Weekly Analytics Report LinkedIn (bi-monthly) Notion doc + LinkedIn page analytics.