The voices shaping menopause are no longer in the clinic.
MenoApp maps the menopause influence ecosystem across LinkedIn, Instagram, X, TikTok, YouTube, podcasts and PAG forums, so Bayer and Prime can identify, prioritise and activate the voices that will educate women about their options.
Menopause has reached a tipping point.
Scientific evidence alone no longer determines perception. Influence does. And influence has decentralised.
- Pre-2015Clinical silenceMenopause largely framed as a symptom-management issue inside the clinic.
- 2015–2020Unmet-need recognitionGrowing acknowledgement of impact on quality of life and workplace participation.
- 2020–2023Advocacy acceleratesWomen's health and workplace-menopause movements scale across Europe.
- 2023–2025First NK therapiesNeurokinin antagonists transform the treatment landscape and reignite science.
- 2026+Decentralised influenceDOLs, PAGs, creators and emerging experts shape perception alongside KOLs.
One conversation, six markets, one network.
Each glowing node is a market. Size reflects monthly conversation volume, colour reflects the dominant archetype, and the arcs show how a story in one country becomes a story in another.
One picture of who shapes the menopause conversation today.
124 voices · 437 measured connections · 7 platforms · 6 markets. Filter, hover and pin to read each persona.
A podcast clip becomes an Instagram reel becomes a LinkedIn debate.
Conversation rarely stays on one channel. This Sankey shows where menopause discussion originates and where it amplifies, and why an integrated activation model is the only one that works.
Where the white space is, and where Lynkuet can lead.
Each card pairs share-of-voice with an educational opportunity index: how much room remains for trusted, evidence-grounded voices to claim that conversation.
Sleep disturbance
Quality of life
ET-related VMS
Non-hormonal options
Workplace & policy
Hormone therapy debate
Sentiment against reach, the prioritisation quadrants.
Every voice plotted on how positively they speak about menopause options against how far that voice travels. The top-right are the partners to activate first. The bottom-right are the experts to invest in early.
Rising stars before they're on advisory boards.
Ranked by 90-day monthly growth across reach, engagement and cross-platform amplification. These are the names to engage in 2026, not 2028.
Where Lynkuet can lead.
Treatment categories plotted on share of conversation against sentiment, bubble size is audience reach. The dashed area is the educational white space, positive sentiment, low share, no incumbent owner. Lynkuet can claim it.
A four-step model for building long-term menopause leadership.
MenoApp is the discovery and prioritisation layer. The matrix below is how Prime turns identification into influence, and women into informed decision-makers.
- 01DiscoverAI-enabled influence discovery across social, podcasts, congresses, publications and PAG networks.
- 02PrioritiseSegment by archetype, topic ownership and growth velocity. Surface white space.
- 03EngagePersonalised activation per archetype, from advisory boards to social-first education.
- 04MeasureTrack influence growth, network reach and educational impact over time.
- Strategic advisory boards
- Scientific exchange & symposia
- High-tier publications
- Future faculty programmes
- Scientific fellowships
- Speaker development
- Co-creation initiatives
- Educational partnerships
- Patient insight programmes
- Social-first education
- Podcast partnerships
- Digital roundtables
Every term and every score, defined.
A single reference for the archetypes, signals and composite indices used across MenoApp, including the exact formulas behind the Educational Opportunity Index and the Influence score.
Every voice tracked in MenoApp is placed into one of four archetypes based on their credentials, behaviour and audience relationship.
- Established DOLs (Digital Opinion Leaders)
- Congress faculty, guideline contributors and society leaders who carry clinical authority into digital channels.
- Rising Stars
- Early-career specialists and emerging researchers with rapid follower growth and a growing citation footprint among peers.
- Patient Advocacy (PAGs)
- Advocacy-group leaders, community moderators and lived-experience advocates who translate clinical topics into member-facing guidance.
- Digital Influencers
- Creators, podcasters and women's-health journalists shaping public perception, often at very large scale and outside the clinical channel.
- Voice
- A single tracked account or persona. One person can hold several voices if they publish under distinct handles per platform.
- Audience vs Reach
- Audience is the follower base of a voice. Reach is the estimated number of unique people actually exposed to their content in a given period, weighted for platform algorithm delivery.
Signals are the raw units of listening. They roll up into the composite scores in the next card.
- Tracked platforms
- LinkedIn, Instagram, X, TikTok, YouTube, Podcast and open Forums. Each has a distinct role in the ecosystem, LinkedIn and X carry the expert conversation, Instagram and TikTok carry the public one, forums surface lived experience.
- Mention / Conversation
- A post, comment, episode or thread that references a tracked topic in any tracked language.
- Share of Voice (SoV)
- A voice or archetype's share of tracked mentions in a defined period and topic set. Expressed as a percentage that sums to 100 across the tracked universe.
- Amplification
- Volume of content that originates on one platform and is re-shared, quoted or referenced on another. Powers the platform-flow Sankey diagram.
- Cross-border arc
- Volume of content from one country cited or re-shared by accounts in another. Powers the arcs on the Geo map.
Every composite is documented so it can be defended in a client conversation. In this demo, values are hand-modelled illustrations, in production they are computed live from Pulsar / VISFO exports.
- Educational Opportunity Index (EOI), 0 to 100
- Shown on the Topics view. Measures how much room remains for a trusted, evidence-grounded voice to claim a topic. Higher = more open ground.
EOI = 100 - (0.5 × ExpertVoiceShare + 0.3 × SentimentPolarisation + 0.2 × MisinformationDensity)Each input is min-max normalised to 0-100 across tracked topics. Plain-English, topics score highest when expert voices are quiet, sentiment is split, and misinformation is common. - Influence score, 0 to 99
- Shown on nodes in the Ecosystem network. Rewards on-topic authority per follower, not raw follower count.
Influence = 0.4 × z(Reach) + 0.3 × z(EngagementRate) + 0.2 × z(TopicRelevance) + 0.1 × z(PeerCitations)z(·) is a standard score across the tracked universe, then the sum is rescaled to 0-99. - Growth, % monthly
- Shown on Rising Stars. Rolling follower delta normalised to a monthly rate.
Growth = (Followers_last90d − Followers_prior90d) ÷ Followers_prior90d, expressed monthly - Sentiment, -1 to +1 (also shown as -50 to +50)
- Aggregate sentiment classification on tracked mentions, weighted by reach so a large-audience post moves the score more than a small one. Neutral = 0.
- Educational white space
- Highlighted on the Competitive landscape. Defined as the quadrant with sentiment above +0.15 and share of voice below 8%. Any category inside it has permission to grow without displacing an incumbent.
- Cross-border amplification weight, 1 to 10
- Shown on the Geo map arcs.
Weight = log10(citations of country A content by country B accounts, trailing 30 days), clamped 1-10
What is real, what is modelled, and where the numbers come from.
- Source in production
- Pulsar and VISFO social and digital listening exports, refreshed monthly with weekly deltas on rising voices.
- Source in this demo
- A seeded synthetic dataset. All names, handles and metrics are anonymised composites generated for illustration. No real individuals are represented.
- Language coverage
- English, German, French, Spanish and Italian. Sentiment models are language-native, not machine-translated.
- Exclusions
- Bots, brand-owned handles and accounts with fewer than 100 followers are removed before scoring.
- Refresh cadence
- Monthly full refresh of the tracked universe, weekly deltas on Rising Stars and topic-level share of voice.
- Confidence
- Every composite carries an internal confidence flag driven by sample size and language coverage. Low-confidence cells are surfaced in the client dashboard, hidden in this pitch view for readability.
"Scientific evidence alone no longer determines perception. Influence does. Rather than ask who influences menopause today, identify who will influence menopause tomorrow, and activate the right voices through the right channels to shape the future of women's health."