Remove redundancy in the campaign-end Executive Summary
The same ~4 findings (Carousel's variance, audience stability, direct asks failing, the untried Carousel+pain-point combination) were each restated 3 times with near-identical wording across engagement_findings, audience_dimensions, and recommendations — the opposite of the "simple, not 8 pages" point of this report format. Consolidated so each fact lives once, in its most natural place: engagement_findings keeps the Carousel-variance and the one-trigger stats (audience stability dropped, already fully covered by audience_composition_line). trilogy_closing trimmed to the observation only, the fix moved into recommendations. audience_dimensions rewritten entirely — it was just restating stats already given elsewhere; now it's the Prior Knowledge/Decision Context/Trust framing the monthly reports already use, synthesized across the whole campaign (including a genuinely new point: the audience's Decision Context shifted in September, the first month with real budget-holding presence). recommendations trimmed to action + one-clause justification instead of re-deriving the full stat block each time. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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@@ -406,10 +406,6 @@ NOTES = {
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"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 "
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"same place.",
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"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 — the campaign's one genuinely "
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"stable finding.",
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"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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"and still the highest Real Eng % of the month even against the "
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@@ -429,11 +425,7 @@ NOTES = {
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"but not repeated — growth and engagement both decelerated",
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],
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"trilogy_closing": "Each stage answered its own question, but the "
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"campaign never closed the loop — a concrete, "
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"named pain point (September's real finding) was "
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"never tried inside a Carousel (July/August's "
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"format finding), so the one combination that "
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"might stack both wins was never actually tested.",
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"campaign never closed the loop between them.",
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"best_posting_day_note": "Best Posting Day: Tuesday won in August and "
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"September; July's Thursday win was itself "
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"Carousel-driven (every July Carousel ran "
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@@ -462,55 +454,41 @@ NOTES = {
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"profiled — the most stable finding of "
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"the entire campaign.",
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"audience_dimensions": [
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("Consistency", "The audience itself never changed: Academia/"
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"Research Institute, Germany-based, Researcher/Scientist-heavy "
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"in July, August, and September alike — whatever comes next can "
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"target this cohort with confidence."),
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("What Worked (on average)", "Carousel averaged best across all "
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"6 times it ran (25.9%), but ranged from 6.0% to 50.8% — not a "
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"guaranteed result. A specific, concrete claim (a cost number "
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"in August, a named pain point in September) beat vague or "
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"feature-list content every single time it was tried — the "
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"claim mattered at least as much as the format."),
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("What Didn't", "Direct asks (the poll, the pilot-partner CTA) "
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"underperformed every time they were tried, across all 3 "
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"months — this audience responds to a story or a stated "
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"problem, not a request."),
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("Prior Knowledge and Language", "Consistently Academic and "
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"Engineering/Technical across all 3 months — content never "
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"needs simplifying for this audience, in July, August, or "
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"September alike."),
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("Decision Context", "This shifted over the campaign: July and "
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"August's cohort was mostly non-budget-holding, but September "
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"brought the first real budget-holding presence (Director/"
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"Head/Principal tied for the largest seniority group) — the "
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"audience's buying power grew as the campaign went on, worth "
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"re-approaching now that it has."),
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("Trust and Reservations", "Specificity built trust more "
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"reliably than honesty alone — a concrete claim consistently "
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"outperformed a vague or feature-list one, the throughline "
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"behind both the format findings above and the failed direct "
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"asks below."),
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],
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"recommendations": [
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"Don't treat Carousel as an automatic win — across all 6 times "
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"it ran it averaged best (25.9%) but ranged from 6.0% to 50.8%. "
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"Keep using it as the default format, but pair it with a "
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"specific, named claim (the thing that beat everything else "
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"every time it was tried) instead of relying on the format "
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"alone to carry a post.",
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"Lead posts with a named, specific pain point (like 08/09's "
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"'materials change under stress') instead of a feature list or "
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"a general announcement — it's the only approach that's beaten "
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"everything else, including Carousel, every time it's been "
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"tried.",
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"Test the untried combination: a Carousel built around a named "
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"pain point, not a product/feature frame — Carousel's own best "
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"posts (August's 50.8%, July's 45.0%) and September's trigger "
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"finding (08/09's pain point) have never been combined in one "
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"post.",
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"Move the 'ask' out of the public post and into direct outreach: "
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"every public CTA tried (poll, pilot-partner request) "
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"underperformed, but 21 people who engaged with a post without "
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"following are already sitting in outreach_contacts.py, "
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"unconverted — a warmer, already-interested list to work "
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"directly instead of re-trying the same public ask.",
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"pain point, not a product/feature frame. Keep Carousel as the "
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"default format, but pair it with a specific claim rather than "
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"relying on the format alone — neither has carried a post on "
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"its own.",
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"Move the 'ask' out of the public post and into direct "
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"outreach: 21 people who engaged with a post without following "
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"are already sitting in outreach_contacts.py, unconverted — a "
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"warmer list than any public CTA has reached so far.",
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"Treat conversion as a separate funnel from engagement: nothing "
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"audited this campaign tracked whether a like/comment ever "
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"became a pilot partner or a meeting — October needs its own "
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"metric for that (e.g. DM replies, calls booked, pilot sign-ups) "
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"since Real Eng % only measures attention, not outcome.",
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"The audience itself hasn't moved in 3 months (Academia/"
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"Research, Germany, Researcher/Scientist) — October doesn't need "
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"a new audience-discovery push, it needs content built "
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"specifically for that cohort's actual pain points, sourced "
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"from real conversations (like 08/09's), not assumed from the "
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"outside.",
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"metric for that (e.g. DM replies, calls booked, pilot "
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"sign-ups), since Real Eng % only measures attention.",
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"Source content from real conversations, like 08/09's, instead "
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"of assumed pain points — October doesn't need a new "
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"audience-discovery push, the audience hasn't moved; it needs "
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"content built for what that audience has actually said.",
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],
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},
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},
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