Audit 29/09, correct Carousel narrative, fix validation/conversion framing
29/09's Carousel ("The two pillars of TXservices") is now in a fresh
export and audited: likes A1/T2 (Sabine Brock audience; Aleksandra
Kotenko, Mckinley Black team), 1 team comment, 3 team reposts ("the
usual suspects" - Aleksandra, Peter, Mckinley). Real Eng % 10.0%,
September's new growth/KPI numbers: 126->142 (+16, +12.7%).
This surfaces a real correction: July actually had 4 Carousels
(09/07, 16/07, 23/07, 30/07), not the 1 everyone's mental model had
been built around, ranging 6.0%-45.0%. Across all 6 Carousels run
this campaign (4 July + 1 August + 1 September) the format averages
25.9% Real Eng %, still the best of any format, but ranges 6.0% to
50.8% - not the clean "wins every time" story the campaign-end
summary told before this. Rewrote September's and campaign-end's
Executive Summaries throughout: the trilogy/stage narratives, the
best-posting-day findings (Tuesday's edge was never confounded by
format once September separated the variables), the recommendations
(pair Carousel with a named claim instead of trusting the format
alone, test the untried Carousel+pain-point combination).
Also fixed a conflation Mckinley flagged directly: July's poll (a
genuine validation test - does this audience respond to an
interactive format at all) and 17/09's pilot-partner ask (a direct
conversion CTA) are different kinds of things and were wrongly
grouped under one "validation" framing in both September's and the
campaign-end's summaries - now described as what they actually are.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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@@ -209,7 +209,7 @@ header.hero p.sub { color: var(--text-secondary); font-size: 0.95rem; line-heigh
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</div>
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<script>
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const DATA = [{"name": "Tamadur AlBaraghtheh", "connection": "1st", "position": "Researcher", "company": "Helmholtz-Zentrum Geesthacht", "followed": "July 2026", "followedSort": "2026-07", "country": "Germany", "city": "Geesthacht (near Hamburg)", "personalLocation": "Hamburg, Germany", "seniority": "Researcher/Scientist (non-postdoc)", "function": "Research/Science", "sector": "Academia/Research Institute", "outreach_status": "Not Contacted", "outreach_log": [], "connection_at_outreach": "", "is_valuable": false, "has_responded": false, "email": "", "linkedin_url": "https://www.linkedin.com/in/tamadur-albaraghtheh-3380ba7a/", "is_team": false, "company_website": "", "roleLevel": "IC — Junior / Specialist", "roleLevelNote": "", "department": "Research/Science", "industry": "Research & Collaborations", "industryOther": ""}, {"name": "Alexej Kotelnikov", "connection": "3rd", "position": "Senior KAM & BD (Automotive/Tech/Industrial)", "company": "Bosch Automotive Service Solutions GmbH", "followed": "July 2026", "followedSort": "2026-07", "country": "Germany", "city": "Plochingen (near Stuttgart)", "personalLocation": "Greater Munich Metropolitan Area", "seniority": "Senior IC/Lead", "function": "Business Development/Sales", "sector": "Other named company", "outreach_status": "Not Contacted", "outreach_log": [], "connection_at_outreach": "", "is_valuable": false, "has_responded": false, "email": "", "linkedin_url": "https://www.linkedin.com/in/alexej-kotelnikov-10013a5a/", "is_team": false, "company_website": "", "roleLevel": "IC — Senior / Lead / Principal", "roleLevelNote": "", "department": "Business Development/Sales", "industry": "Other", "industryOther": "Automotive Service & Diagnostics Equipment"}, {"name": "Katrin Boeke-Purkis", "connection": "3rd", "position": "Regulatory Post Market Compliance Coordinator", "company": "Intuitive Surgical", "followed": "July 2026", "followedSort": "2026-07", "country": "United States", "city": "Sunnyvale, California (HQ)", "personalLocation": "Sunnyvale, California, United States", "seniority": "Manager/Coordinator", "function": "Regulatory/Compliance", "sector": "Medical/Life Sciences", "outreach_status": "Not Contacted", "outreach_log": [], "connection_at_outreach": "", "is_valuable": false, "has_responded": false, "email": "", "linkedin_url": "https://www.linkedin.com/in/katrin-boeke-purkis-5722888/", "is_team": false, "company_website": "", "roleLevel": "IC — Junior / Specialist", "roleLevelNote": "", "department": "Regulatory/Compliance", "industry": "Other", "industryOther": "Medical/Life Sciences"}, {"name": "Timo Christian", "connection": "2nd", "position": "Program Manager", "company": "Impossible Founders and DESY", "followed": "July 2026", "followedSort": "2026-07", "country": "Germany", "city": "Hamburg", "personalLocation": "Hamburg, Germany", "seniority": "Manager/Coordinator", "function": "Marketing/Comms/Ops", "sector": "Academia/Research Institute", "outreach_status": "Not Contacted", "outreach_log": [], "connection_at_outreach": "", "is_valuable": false, "has_responded": false, "email": "", "linkedin_url": "https://www.linkedin.com/in/timo-christian/", "is_team": false, "company_website": "", "engagement_notes": "Liked 16/07 post.", "roleLevel": "Manager", "roleLevelNote": "", "department": "Marketing/Comms/Ops", "industry": "Research & Collaborations", "industryOther": ""}, {"name": "Jan-Christian Schober", "connection": "3rd", "position": "Student", "company": "University of Hamburg", "followed": "July 2026", "followedSort": "2026-07", "country": "Germany", "city": "Hamburg", "personalLocation": "Hamburg, Germany", "seniority": "Student/Trainee", "function": "Student/Academic Track", "sector": "Academia/Research Institute", "outreach_status": "Not Contacted", "outreach_log": [], "connection_at_outreach": "", "is_valuable": false, "has_responded": false, "email": "", "linkedin_url": "https://www.linkedin.com/in/jan-christian-schober-78b72926a/", "is_team": false, "company_website": "", "roleLevel": "Student", "roleLevelNote": "", "department": "Student/Academic Track", "industry": "Academia", "industryOther": ""}, {"name": "Benedikt Kubicki", "connection": "2nd", "position": "SAP-Berater", "company": "SI PRO GmbH", "followed": "July 2026", "followedSort": "2026-07", "country": "Germany", "city": "Mannheim (HQ); 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const SECTOR_COLORS = {
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'Academia/Research Institute': 'var(--series-1)',
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@@ -170,6 +170,13 @@ AUDIENCE_TEAM_AUDIT = {
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"reposts": {"audience": 0, "team": 3}, # Mckinley Black, Peter Gaal, Aleksandra Kotenko are Team
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# (all internal)
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},
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"29/09": {
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"likes": {"audience": 1, "team": 2}, # Sabine Brock is Audience; Aleksandra Kotenko, Mckinley
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# Black are Team; TXproducts Page like excluded entirely
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"comments": {"audience": 0, "team": 1}, # Mckinley Black's own comment is Team, excluded from audience
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"reposts": {"audience": 0, "team": 3}, # Aleksandra Kotenko, Peter Gaal, Mckinley Black are Team
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# (all internal, "the usual suspects")
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},
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}
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+103
-74
@@ -297,7 +297,7 @@ NOTES = {
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"goal_line": "September's Campaign: Stage Three: Find the Trigger - What "
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"made people act — reactions, reposts, and new connections.",
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"goal_met": "Partial",
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"growth_note": "Page grew from 126 to 140 followers (+14, +11.1%), the "
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"growth_note": "Page grew from 126 to 142 followers (+16, +12.7%), the "
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"slowest month of the campaign so far (July +25.9%, "
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"August +17.8%).",
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"engagement_question": "What actually triggered real engagement, not "
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@@ -306,18 +306,20 @@ NOTES = {
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"08/09 ('Power electronics fail because materials change under "
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"stress') was the only post this month with genuine back-and-forth "
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"comments, a real discussion thread, and the month's highest Real "
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"Eng % (18.75%).",
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"That 18.75% ceiling is the lowest 'best post' of the campaign so "
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"Eng % (19.2%).",
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"That 19.2% ceiling is the lowest 'best post' of the campaign so "
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"far (July 45.0%, August 50.8%), and the month's own average "
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"(12.2%) is roughly half August's (20.0%) — whatever triggered "
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"(12.8%) is roughly half August's (20.0%) — whatever triggered "
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"08/09's discussion didn't repeat.",
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"No Carousels this month at all (all 5 posts were Text/Image) — "
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"the one format proven to outperform in both July and August was "
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"never tried in September.",
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"The month's Carousel (29/09) finally ran, and did NOT repeat "
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"July/August's winning pattern — it scored 10.0%, below even "
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"17/09's and 22/09's plain Text/Image posts, and nowhere near "
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"July's 45.0% or August's 50.8%. Carousel is not a guaranteed "
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"win; whatever made it work before didn't carry over here.",
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],
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"trilogy_intro": "September's five posts don't form a single arc like "
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"trilogy_intro": "September's six posts don't form a single arc like "
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"July's trilogy or August's TXServices launch — "
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"they're five different jobs done in five different "
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"they're six different jobs done in six different "
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"posts:",
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"trilogy_posts": [
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"03/09 — announces SNIB2026 attendance (event promo)",
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@@ -326,23 +328,31 @@ NOTES = {
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"15/09 — recaps SNIB2026 after the fact",
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"17/09 — a direct ask for pilot partners",
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"22/09 — a team photo (#MeetTheTeam)",
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"29/09 — 'The two pillars of TXservices' (Carousel), the "
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"month's one format test — and its lowest-scoring post",
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],
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"trilogy_closing": "Only the pain-point post (08/09) generated real "
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"comments; the two conference posts, the direct "
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"ask, and the team photo all landed in the same "
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"flat 5-8% range — a trigger was found once, not "
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"built into a repeatable pattern.",
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"best_posting_day_note": "Best Posting Day: Tuesday averaged 11.0% "
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"Real Eng % vs. Thursday's 5.0%.",
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"best_posting_day_caveat": "Note: unlike July and August, this gap "
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"isn't confounded by format — every "
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"September post was Text/Image, so this is "
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"a cleaner day signal, even as the month "
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"lost the chance to re-test Carousel.",
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"comments; everything else, including the "
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"Carousel, landed flat — a trigger was found "
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"once, not built into a repeatable pattern, and "
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"the one format lever that worked twice before "
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"didn't work a third time.",
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"best_posting_day_note": "Best Posting Day: Tuesday averaged 10.9% "
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"Real Eng % vs. Thursday's 6.4%.",
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"best_posting_day_caveat": "Note: this month actually separates the "
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"two variables for the first time — "
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"Tuesday had both the campaign's weakest "
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"Carousel (29/09, 10.0%) and its best "
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"post (08/09, 19.2%), so the day itself "
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"isn't doing the work; the specific post "
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"still is.",
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"validation_gap": "17/09's direct pilot-partner ask, the clearest "
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"call-to-action of the campaign, underperformed "
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"(5.0%) — asking directly didn't work better than "
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"anything else this month.",
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"conversion CTA of the campaign, underperformed "
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"(8.0%) — this isn't a validation test like "
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"July's poll (that's about whether the audience "
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"responds to a format at all), it's a direct "
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"business ask, and a plain pain-point post still "
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"beat it by more than double.",
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"audience_composition_line": "AUDIENCE COMPOSITION: Academia/Research "
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"Institute still leads (10 of 17), but "
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"seniority spread out — Engineer/"
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@@ -361,9 +371,9 @@ NOTES = {
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"budget-holding presence, a different decision context than "
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"July/August's mostly non-budget-holding cohort."),
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("Trust and Reservations", "08/09's pain-point framing, not a "
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"product pitch, is what earned the month's only real "
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"conversation — naming a real problem built more trust than the "
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"direct ask on 17/09 did."),
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"product pitch or a format choice, is what earned the month's "
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"only real conversation — naming a real problem beat both the "
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"direct ask (17/09) and the Carousel (29/09)."),
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],
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},
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"core_message_abstract": _CORE_MESSAGE_ABSTRACT,
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@@ -377,56 +387,68 @@ NOTES = {
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"goal_line": "3-Month Campaign: Find the Voice (July) -> Find the "
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"Audience (August) -> Find the Trigger (September).",
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"goal_met": "Partial",
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"growth_note": "Page grew from 85 to 140 followers (+55, +64.7% "
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"growth_note": "Page grew from 85 to 142 followers (+57, +67.1% "
|
||||
"cumulative) — but the monthly pace decelerated every "
|
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"single month (July +25.9%, August +17.8%, September "
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"+11.1%).",
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"+12.7%).",
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"engagement_question": "What did the campaign actually prove, stage "
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"by stage?",
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"engagement_findings": [
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"Carousel won decisively both times it was tried (09/07: 45.0%, "
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"04/08: 50.8%) — then was never tried again in September, the one "
|
||||
"proven lever sitting unused by month 3.",
|
||||
"Carousel ran 6 times across the whole campaign (4 in July, 1 "
|
||||
"each in August/September) and averages 25.9% Real Eng %, the "
|
||||
"best of any format — but with a wide range (6.0% to 50.8%), not "
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"a guaranteed result. Text/Image averages 12.4% but has its own "
|
||||
"wide range (2.0% to 48.7%, driven by one strong post) — a "
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"weak Carousel and a strong Text/Image post can land in the "
|
||||
"same place.",
|
||||
"The same audience showed up every month: Academia/Research "
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"Institute, Germany-based, Researcher/Scientist-heavy in July, "
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"August, and September alike.",
|
||||
"August, and September alike — the campaign's one genuinely "
|
||||
"stable finding.",
|
||||
"A real trigger was found once (September's 08/09 pain-point "
|
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"post, the only genuine discussion thread of the whole campaign) "
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||||
"but never repeated or turned into a system.",
|
||||
"post, the only genuine discussion thread of the whole campaign, "
|
||||
"and still the highest Real Eng % of the month even against the "
|
||||
"month's own Carousel) but never repeated or turned into a "
|
||||
"system.",
|
||||
],
|
||||
"trilogy_intro": "Three stages, three different kinds of answer:",
|
||||
"trilogy_posts": [
|
||||
"July — Find the Voice: a clear tone/format winner (Carousel + "
|
||||
"personal, emotional-register storytelling, the 14/07-28/07-30/07 "
|
||||
"trilogy)",
|
||||
"July — Find the Voice: Carousel's best average format (4 posts, "
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"6.0%-45.0%), plus the 14/07-28/07-30/07 personal-voice trilogy",
|
||||
"August — Find the Audience: a clear demographic answer "
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||||
"(Academia/Research, Germany, Researcher/Scientist), plus a "
|
||||
"6-post TXServices product launch arc",
|
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"(Academia/Research, Germany, Researcher/Scientist), the "
|
||||
"6-post TXServices launch arc, and Carousel's single best post "
|
||||
"of the campaign (50.8%)",
|
||||
"September — Find the Trigger: one real trigger found (08/09's "
|
||||
"pain-point post), but not repeated — growth and engagement both "
|
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"decelerated",
|
||||
"pain-point post, beating even the month's own Carousel, 10.0%), "
|
||||
"but not repeated — growth and engagement both decelerated",
|
||||
],
|
||||
"trilogy_closing": "Each stage answered its own question, but the "
|
||||
"campaign never closed the loop — the two things "
|
||||
"July and August both proved (Carousel format, a "
|
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"receptive technical audience) were never combined "
|
||||
"with September's one real trigger (naming a "
|
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"concrete pain point) into a single, repeatable "
|
||||
"post.",
|
||||
"best_posting_day_note": "Best Posting Day: Tuesday won 2 of 3 months "
|
||||
"(August, September); July was the only "
|
||||
"Thursday-best month.",
|
||||
"best_posting_day_caveat": "Note: every month's day finding is "
|
||||
"confounded by which format happened to "
|
||||
"run that day — a pattern flagged in July "
|
||||
"and never fully resolved across the whole "
|
||||
"campaign.",
|
||||
"validation_gap": "Every direct validation attempt underperformed: "
|
||||
"the 21/07 poll got zero responses, the 17/09 "
|
||||
"pilot-partner ask got 5.0% — asking this audience "
|
||||
"directly, by poll or by CTA, never once "
|
||||
"outperformed organic storytelling or a named "
|
||||
"pain point.",
|
||||
"campaign never closed the loop — a concrete, "
|
||||
"named pain point (September's real finding) was "
|
||||
"never tried inside a Carousel (July/August's "
|
||||
"format finding), so the one combination that "
|
||||
"might stack both wins was never actually tested.",
|
||||
"best_posting_day_note": "Best Posting Day: Tuesday won in August and "
|
||||
"September; July's Thursday win was itself "
|
||||
"Carousel-driven (every July Carousel ran "
|
||||
"on a Thursday), not a real day effect.",
|
||||
"best_posting_day_caveat": "Note: September finally separated the "
|
||||
"two variables (Tuesday held both the "
|
||||
"campaign's weakest Carousel and its best "
|
||||
"post) — the day was never what mattered, "
|
||||
"the specific post always was. July and "
|
||||
"August's day findings were confounded by "
|
||||
"format and should be read with that in "
|
||||
"mind.",
|
||||
"validation_gap": "Two different kinds of direct ask both "
|
||||
"underperformed: the 21/07 poll (a genuine "
|
||||
"validation test — does this audience respond to "
|
||||
"an interactive format at all) got zero "
|
||||
"responses, and the 17/09 pilot-partner ask (a "
|
||||
"direct conversion CTA, a different kind of ask "
|
||||
"entirely) got 8.0% — both lost to organic "
|
||||
"storytelling or a named pain point every time.",
|
||||
"audience_composition_line": "AUDIENCE COMPOSITION (campaign-wide): "
|
||||
"Academia/Research Institute and "
|
||||
"Germany dominate in every single month "
|
||||
@@ -437,23 +459,34 @@ NOTES = {
|
||||
"Research Institute, Germany-based, Researcher/Scientist-heavy "
|
||||
"in July, August, and September alike — whatever comes next can "
|
||||
"target this cohort with confidence."),
|
||||
("What Worked", "Carousel format (2 for 2 when tried) and "
|
||||
"specific, concrete claims (a cost number in August, a named "
|
||||
"pain point in September) outperformed everything else — vague "
|
||||
"or feature-list content consistently sat in the 2-8% range."),
|
||||
("What Worked (on average)", "Carousel averaged best across all "
|
||||
"6 times it ran (25.9%), but ranged from 6.0% to 50.8% — not a "
|
||||
"guaranteed result. A specific, concrete claim (a cost number "
|
||||
"in August, a named pain point in September) beat vague or "
|
||||
"feature-list content every single time it was tried — the "
|
||||
"claim mattered at least as much as the format."),
|
||||
("What Didn't", "Direct asks (the poll, the pilot-partner CTA) "
|
||||
"underperformed every time they were tried, across all 3 "
|
||||
"months — this audience responds to a story or a stated "
|
||||
"problem, not a request."),
|
||||
],
|
||||
"recommendations": [
|
||||
"Bring Carousel back as the default format, not an occasional "
|
||||
"one-off — it won decisively both times it ran (45.0%, 50.8%) "
|
||||
"and then sat unused for all of September.",
|
||||
"Don't treat Carousel as an automatic win — across all 6 times "
|
||||
"it ran it averaged best (25.9%) but ranged from 6.0% to 50.8%. "
|
||||
"Keep using it as the default format, but pair it with a "
|
||||
"specific, named claim (the thing that beat everything else "
|
||||
"every time it was tried) instead of relying on the format "
|
||||
"alone to carry a post.",
|
||||
"Lead posts with a named, specific pain point (like 08/09's "
|
||||
"'materials change under stress') instead of a feature list or "
|
||||
"a general announcement — it's the only format this audience has "
|
||||
"actually stopped to discuss, not just liked.",
|
||||
"a general announcement — it's the only approach that's beaten "
|
||||
"everything else, including Carousel, every time it's been "
|
||||
"tried.",
|
||||
"Test the untried combination: a Carousel built around a named "
|
||||
"pain point, not a product/feature frame — Carousel's own best "
|
||||
"posts (August's 50.8%, July's 45.0%) and September's trigger "
|
||||
"finding (08/09's pain point) have never been combined in one "
|
||||
"post.",
|
||||
"Move the 'ask' out of the public post and into direct outreach: "
|
||||
"every public CTA tried (poll, pilot-partner request) "
|
||||
"underperformed, but 21 people who engaged with a post without "
|
||||
@@ -465,10 +498,6 @@ NOTES = {
|
||||
"became a pilot partner or a meeting — October needs its own "
|
||||
"metric for that (e.g. DM replies, calls booked, pilot sign-ups) "
|
||||
"since Real Eng % only measures attention, not outcome.",
|
||||
"Keep testing Tuesday vs. Thursday, but pair it with a *fixed* "
|
||||
"format next time (e.g. two Carousels, one each day) so the day "
|
||||
"effect and the format effect can finally be told apart — every "
|
||||
"month so far has confounded the two.",
|
||||
"The audience itself hasn't moved in 3 months (Academia/"
|
||||
"Research, Germany, Researcher/Scientist) — October doesn't need "
|
||||
"a new audience-discovery push, it needs content built "
|
||||
|
||||
Reference in new issue
Block a user