Discover DOLs
Explore expertise, examine evidence, and build your shortlist.
DOL SCAPE · BY DATASOLVE ANALYTICS
Discover expertise.
Explore the evidence.
DOL Scape brings Digital Opinion Leader profiles and collected social posts into one research workspace. Discover relevant voices across six platforms, explore their clinical and treatment topics, and compare candidates with evidence at hand.
Discover DOLs · Explore original posts · Build your shortlist
About DOL Scape / Methodology
DOL Scape combines supplied DOL scores with collected social posts from X, LinkedIn, YouTube, Instagram, Facebook, and Bluesky. A relevant post contains approved topic matches in its extracted terms. Inclusion is not clinical endorsement or manual verification.
Evidence date filters do not recalculate scores. Domain counts may overlap. Collection coverage is available in Data Coverage.
Metric definitions and coverage
KPIs describe the filtered discovery cohort, including DOLs with no relevant posts when shown. Relevant posts are raw rows whose Key_Hash contains at least one approved mapping term. Relevance does not imply clinical endorsement or manual verification.
Ranking uses Grand Total DOL Score for All platforms and the named platform Total Score for an individual platform. Scores are not averaged or added in this app.
Domain percentages describe the sum of supplied domain counts; domains may overlap. Reach is the largest available account follower count, not a deduplicated audience. Source refresh time is unavailable.
Data has not loaded yet.
KPIs describe the discovery cohort.
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identified--
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mapped matches--
indexOverview
Selected platform. Discovery filters do not apply.
Monthly relevant-post activity
Selected platform · All history
Top grouped clinical terms
Selected platform · All history
Share of collected relevant posts
All platforms · All history
Additional analytics
Mapped domain coverage
Selected platform · All history
Audience and relevant activity
Selected platform · All history
Relevant channel coverage
All platforms · All history
Observed interactions per relevant post
Selected platform · All history
DOL Leaderboard
How ranking works
Rank is based on score, highest first; relevant posts break score ties. Exact ties share a rank. Filters and table sorting preserve rank within the selected platform. DOLs with no relevant posts or unavailable scores are unranked.
How ER & Cadence are calculated
Engagement Rate (ER %): Calculated as Total Relevant Interactions (Likes + Comments + Shares) ÷ (Followers × Relevant Posts) × 100. On video/views-based platforms (e.g., YouTube), ER is calculated as (Likes + Comments) ÷ Views × 100.
Posting Cadence: Calculated as Disease-Relevant Posts ÷ Active Months, where active months is the span from the DOL's first to last relevant post (minimum 1 month). Expressed as posts per month (posts/mo).
Hover over a DOL row to reveal its comparison checkbox. Select two or more DOLs to compare.
Match any or all “Has posts” rules. Every “No posts” rule must hold.
| DOL Profile | Type | Channels | Stakeholder role | Grand Total DOL Score | Relevant Posts | Domain mix | |
|---|---|---|---|---|---|---|---|
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A shortlist from the previous app is stored on this device without an account owner. Import it only if it is yours.
Evidence Explorer
Read original posts and inspect approved topic matches.
Choose filters to explore collected posts.
All platforms · Earliest collected to Latest collected · Scores remain all history
Data Coverage
| Platform | DOLs | Collected posts | Relevant posts | First post | Latest post | Dates unavailable | Source links | Views supplied | Shares supplied | Index rebuilt |
|---|
Methodology and coverage details
These date ranges describe collected posts, not continuous collection. Views are available for X, Instagram and YouTube only; shares are not supplied for Instagram or YouTube. The serving tables preserve missing metrics as unavailable. Their refresh time records when the index was rebuilt; it is not the original collection time.
DOL scores use the supplied totals. Evidence date filters do not recalculate scores. Clinical, treatment and health economics figures count mapping-matched posts and can overlap.

