Insights

Which kinds of posts perform best, for whom, and where the under-exploited opportunities are — by topic, format, visual style, or referenced expert. Organic-only by default so conclusions measure content quality, not ad spend.

Dimension
Period
Reach
Boosted
Accounts
What do these topics mean? (each post gets one primary topic)
Podcast (Experimentation Edge) — The Experimentation Edge podcast or newsletter — episodes, guest roundups, interview takeaways.
Data science — A data-science/statistics topic (e.g. Bayesian stats, CUPED, power) — often featuring Luke Sonnet or Hampus Poppius.
Thought leadership — Discusses work by industry experts (e.g. Ron Kohavi), or best practices for how experimentation should run.
Product functionality — GrowthBook features, releases, or launches.
Product demo — A walkthrough/demo of GrowthBook in action (reserved — none yet).
Past experience — A personal story from the author's own career (mostly Graham's).
Marketing event / content — Webinars, conferences, booths, and other marketing offers or content.
Customer story — A GrowthBook customer's case study or results. Customers only — not podcast guests, not event promos.
Industry commentary — Reaction to industry news — acquisitions, outages, competitor moves. Rare.
Social / culture — Team/culture/personal news — trips, career updates.
Other — Congratulations, hiring, company milestones/awards, and anything that fits nowhere else.

No posts match this selection. Try a different dimension, source, or window — the classification-status banner above shows overall coverage.

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GrowthBook LinkedIn Topic Review (organic · boosted excluded · all-time)

Ranked by median engagement per post. Confidence flags: <5 posts = low-confidence; <3 posts = insufficient (not actionable).


1. Top 3 best-performing topics by median engagement

Restricting to rows with usable samples (post_count ≥ 5):

  1. Graham (CEO) — Industry commentary: median 18 across 8 posts (low-confidence, n=8 is borderline but acceptable).
  2. Graham (CEO) — Product functionality: median 16 across 10 posts. Note: trending declining over 30d.
  3. Ashley (me) — Thought leadership: median 16 across 14 posts (solid sample). Also Ashley — Other (median 16, n=5, low-confidence) ties.

Honorable mention: Graham — Thought leadership, median 15 across 60 posts — the single most reliable high performer by sample size.


2. Top 3 under-exploited opportunities (high median, low volume)

These show strong medians but thin volume — worth scaling if the signal holds:

  1. Ashley (me) — Customer story: median 15 across 6 posts (low-confidence). Strong per-post return on a topic Ashley rarely posts.
  2. GrowthBook — Other: median 16 across 5 posts (low-confidence). Outperforms the company's workhorse topics, but "Other" is a grab-bag — hard to replicate deliberately.
  3. Alyssa — Product functionality: median 6 across 6 posts (low-confidence); modest but it's her best-sampled topic above Marketing event / Other, and flagged as newly active.

Insufficient to recommend (n<3), noted for awareness only: Graham — Customer story (median 30, n=2), Graham — Marketing event (median 30, n=2), Alyssa — Product demo (median 20, n=2), GrowthBook — Industry commentary (median 31, n=1).


3. Candidates to cut (high volume, low median)

  • GrowthBook — Marketing event / content: median 8 across 50 posts, and declining. Highest-volume topic on the page with a low payoff — prime for trimming.
  • GrowthBook — Product functionality: median 8 across 28 posts, declining. Second-highest company volume, flat-low return.
  • GrowthBook — Podcast: median 7 across 14 posts. Underperforms Ashley's own podcast median (11) despite decent volume.

(Alyssa — Marketing event, median 3 across 12 posts, and Alyssa — Other, median 4 across 14, are also low-yield but lower stakes.)


4. Notable rising / declining (30d)

  • Rising: Ashley — Podcast (median 11, 63 posts) — the only clearly rising well-sampled topic.
  • Declining: GrowthBook — Marketing event (50 posts) and GrowthBook — Product functionality (28 posts); Graham — Product functionality (10 posts).
  • New: Alyssa — Product functionality & Product demo; Graham — Past experience & Data science; GrowthBook — Customer story. Treat "new" as newly-posted, not a baseline.

5. Caveat on confounds

Topic performance is heavily tangled with who posts it. "Product functionality," for example, reads as a top performer for Graham (median 16) but a cut candidate for the GrowthBook page (median 8) — that's an author/audience effect, not a topic effect. Several high medians also sit on n=1–2 samples, so a single viral post distorts the ranking. Don't generalize a topic across accounts.


What changed since the last update

Since the prior snapshot on 2026-10-09, the headline mover is ads. Ad clicks: 378 in the last 7d vs 236 prior (+60%), with CTR essentially flat at 1.2% (vs 1.17%) — so the gain is reach/volume-driven, not efficiency. The two Omni | TOFU | EG | TA-JF-NA_UK campaigns (TL, 127 clicks and DA, 114 clicks) drove most of it, both at a strong ~4.5–4.7% CTR. Ad window ends 2026-10-09, so figures lag a few days. On organic, the clearest post signal is Ashley — Podcast rising: median 10 across 10 recent posts (vs 10 posts prior, median 6) — a genuine trend by the ≥2/≥2 rule, and the one movement that justifies a recommendation. The GrowthBook page's Marketing event / content is declining: median 5 across 11 recent posts (vs 6 posts prior, median 8), reinforcing the cut case above. Pipeline and ROAS held steady.

On recommendations vs. prior_recs: The podcast rise supports leaning into Ashley's podcast cadence — a slight update from "Double down on Thought leadership for Ashley." Most of last week's "double down" recs (Customer story for Graham, Product functionality/Product demo for Alyssa, Product demo for GrowthBook) rest on new or single-post signals this period and are not yet supported — hold, don't act. The Gr

App-wide summary (topic · organic · all-time), refreshed together with the exec bottom line. Generated 2026-10-10 20:28.

How to read this
  • Organic vs. paid are kept separate. A "best post" list that silently included boosted reach would just be measuring ad spend — defaults are organic-only, boosted excluded.
  • Rank by median, not average — one viral post badly skews the mean. Trust the median and the sample size.
  • Where an account lacks per-post impressions for a category, its engagement rate shows N/A and it's ranked by raw engagement only — don't compare its raw counts against the others' rates.
  • Categories with <5 posts are flagged "insufficient" and 5–10 "low-confidence" — they'll be noisy until more posts accumulate.
  • Topic / visual-style labels are LLM estimates with a confidence score; low-confidence ones (and any manual overrides) are meant for human review.
  • Format, topic, and visual style correlate (podcast ≈ video; company_personal ≈ photo_people). When "video wins", check whether it's really topic or author driving it.

What works — category flags

Median engagement for posts carrying each flag vs the organic baseline. Flags are set on the Categories page (scroll-stopping = fun, curiosity-creating image; influencer = a recognized expert liked/commented).

FlagPostsMedian engagementvs baseline (11)
Scroll-stopping image2814+27%
Influencer engaged2526+136%
Boosted (paid)1029+164%

Baseline: median 11 across 370 organic (non-boosted) posts. Boosted is compared against the organic baseline — its lift includes paid reach.

Impressions — organic vs ad-generated

Lifetime-known impressions per account (analysis window). The GrowthBook page split is exact (from the page export); people are estimates — creator-export impressions are organic by definition, and paid is the ad delivery attributed to their boosted posts.

AccountOrganicAd-generatedTotalNotes
You138,76726,561165,328estimate · 3 posts lack export data
CEO209,65015,902225,552estimate · 4 posts lack export data
Alyssa6,282—6,282estimate · 16 posts lack export data
Company83,831986,0951,069,926exact · exact split from the page export
Total438,5301,028,5581,467,088

Cross-check: Campaign Manager reports 658,508 ad impressions in this window (data through 2026-10-09; the ads CSV starts Feb 2026, so the page's sponsored total also covers earlier campaigns). Impressions are “lifetime-known” — the max seen across your windowed LinkedIn exports.

Boost effectiveness

Organic baseline vs paid lift vs spend for boosted posts — the highest-value question this rebuild answers: is boosting buying reach, or resonance? Paid reach is attributed to the real author (import an Ads CSV on the Ad import page to populate this).

loading boost data…

Engagement by media format

Average engagement per post by media format — now using the full taxonomy (video, carousel, document, image, link, text-only), not the old image/text-only split. Click a format to see those posts.

Alyssa

FormatPostsAvg engagement
text_video ↗516
text_only ↗79
text_image ↗118
text_link ↗214

CEO

FormatPostsAvg engagement
text_only ↗1325
text_image ↗4224
text_link ↗219
text_video ↗4719

Company

You