Menopause Supplement Pipeline

How 19,394 Google search results become 2,792 unique menopause-targeted posts that mention supplements, divided by content type (Division 1), primary supplement category (Division 2) and target group (Division 3). Counts as of 4 September 2026.

Sankey diagram: 19,394 Google search links filtered to 2,792 menopause posts mentioning supplements, divided by content type and primary supplement category GOOGLE SEARCH 19,394 links DOWNLOAD + LLM 12,177 kept MENOPAUSE SCREEN 3,903 kept DEDUPLICATION 3,804 kept DIVISION 1 content type SUPPLEMENT SCREEN 2,792 kept DIVISION 2 primary category Instagram 5,915 TikTok 5,301 YouTube 4,171 Facebook 4,007 7,217 not retrievable or not processed 8,274 not menopause- targeted 99 cross-platform duplicates 1,012 no supplements mentioned (symptom & experience posts) 2,434 Informative 834 Marketing 536 Other material 794 Manual review queue 735 Vitamins & minerals 442 Branded menopause formulations 242 Hormone therapies 193 Protein, amino acids & creatine 178 Herbals & botanicals 68 Gut / microbiome 65 Fatty acids & oils 49 Vague or non-classifiable 26 Prescription & OTC medicines

Figure 1 — the pipeline from search links through Division 1 (content type) and the supplement screen to Division 2 (primary supplement category).

Division 3 — marketing / target group

Sankey diagram: 2,792 supplement-mentioning posts divided by marketing/target group SUPPLEMENT POSTS 2,792 posts DIVISION 3 target group Mentions supplements 1,365 General / multisymptom / unclear 707 Bone / musculoskeletal support 283 Phytoestrogenic / hormone-modulating 151 Vasomotor / hot-flush relief 99 Gut / inflammation / detox 98 Sleep / stress / mood / cognition 47 Skin / hair / beauty ageing 25 Metabolic / weight / insulin 17 Sexual / vaginal symptoms

Figure 2 — the same 2,792 supplement-mentioning posts divided by the marketed target. Per the MIMICS plan this is a separate division, not a sub-level of Division 2, so each post appears once in each figure's final column.

Stage rules

StageRuleInKeptRemoved
Google searchDaily scrape across 13 search terms; links from YouTube, TikTok, Facebook, Instagram—19,394—
Download + LLMVideo retrieved by yt-dlp and processed by Nemotron 3 Nano Omni; drops unretrievable links (most Instagram), audio-only files and processing failures19,39412,1777,217
Menopause screenLLM field menopause = True (post targets the supplement toward menopause-related symptoms)12,1773,9038,274
DeduplicationSame normalised title (≥ 15 chars) and duration across platforms; copy with most views kept3,9033,80499
Division 1 — content typeLLM classification: informative / marketing / other material (personal stories or anecdotes): Informative 2,434 / Marketing 834 / Other material 5363,8043,804—
Supplement screenPost names at least one supplement; the 1,012 without are retained separately as symptom-and-experience posts3,8042,7921,012
Division 2 — primary supplement categoryModal status category of the post's supplement terms, per the team's nine-category coding framework; unmatched terms go to the manual review queue2,7922,792—
Division 3 — target groupModal marketing/target group of the post's supplement terms. A separate division of the same 2,792 posts, not a sub-level of Division 2 (second figure)2,7922,792—
All flows as a table
FromToPosts% of source
InstagramDownloaded & LLM-processed1512.6%
InstagramNot retrievable / not processed5,76497.4%
TikTokDownloaded & LLM-processed4,81390.8%
TikTokNot retrievable / not processed4889.2%
YouTubeDownloaded & LLM-processed3,83491.9%
YouTubeNot retrievable / not processed3378.1%
FacebookDownloaded & LLM-processed3,37984.3%
FacebookNot retrievable / not processed62815.7%
Downloaded & LLM-processedMenopause-targeted3,90332.1%
Downloaded & LLM-processedNot menopause-targeted8,27467.9%
Menopause-targetedUnique posts3,80497.5%
Menopause-targetedCross-platform duplicates992.5%
Unique postsInformative2,43464.0%
Unique postsMarketing83421.9%
Unique postsOther material53614.1%
InformativeMentions supplements1,67568.8%
InformativeNo supplements mentioned75931.2%
MarketingMentions supplements72687.1%
MarketingNo supplements mentioned10812.9%
Other materialMentions supplements39172.9%
Other materialNo supplements mentioned14527.1%
Mentions supplementsManual review queue79428.4%
Mentions supplementsVitamins & minerals73526.3%
Mentions supplementsBranded menopause formulations44215.8%
Mentions supplementsHormone therapies2428.7%
Mentions supplementsProtein, amino acids & creatine1936.9%
Mentions supplementsHerbals & botanicals1786.4%
Mentions supplementsGut / microbiome682.4%
Mentions supplementsFatty acids & oils652.3%
Mentions supplementsVague or non-classifiable491.8%
Mentions supplementsPrescription & OTC medicines260.9%
Mentions supplementsGeneral / multisymptom / unclear1,36548.9%
Mentions supplementsBone / musculoskeletal support70725.3%
Mentions supplementsPhytoestrogenic / hormone-modulating28310.1%
Mentions supplementsVasomotor / hot-flush relief1515.4%
Mentions supplementsGut / inflammation / detox993.5%
Mentions supplementsSleep / stress / mood / cognition983.5%
Mentions supplementsSkin / hair / beauty ageing471.7%
Mentions supplementsMetabolic / weight / insulin250.9%
Mentions supplementsSexual / vaginal symptoms170.6%

Bands are proportional to post counts; nodes smaller than 123 posts are drawn at a 4px minimum so they stay visible. The post-level data behind every node is exported to data/pipeline_stages.xlsx — its recipes sheet states the exact filter that reproduces each number here. Division 2 and 3 assignment gives each post its most frequent code among its supplement terms (ties resolved away from the catch-all group). Generated by src/generate_sankey.py from data/supplements.csv (search links), data/supplements_LLM_results.xlsx (LLM output), src/clean_supplements.py (category and target coding) and src/analyze_data.py (platform filter and deduplication).