Which GV projects the world wants.
Every Global Volunteer project open today, in every host country, with its applications, approvals and realizations from EXPA. Use it to choose what AIESEC in Morocco sells.
Demand funnel
Demand vs conversion
One dot per category with enough evidence (200+ applications, 3+ projects). Right = more applications, up = more of them approved. Lines = medians.
Categories ranked
A category is the project brand in the title (duration removed). Global brand = hosted in 3+ countries. Morocco columns: our outgoing GV approvals since Feb 2020, all destinations (not filtered).
Host countries
Top 15 by applications. Bar = applications split into realized, approved (not realized) and the rest.
SDGs
All SDGs present, by applications. Same split.
Projects ranked
Top 30 individual projects. Approval rate ranks only projects with 50+ applications.
Where Moroccan EPs went
Outgoing GV approvals of AIESEC in Morocco by category and term (Aug–Jul), from EXPA since Feb 2020. Realized = realized at the time of the sync. Not filtered by the filters above.
How to read these numbers
Where our EPs study.
Every EP counted once, at the university they list last after high school, matched to the Ministry's list of 468 institutions (students 2024-25). Spellings that fit several institutions, or none, are left unplaced: they are never guessed.
Data coverage
How many EPs can be placed at a Moroccan institution. Verified = one institution; university only = the faculty or school is not known; unclear spelling = several possible institutions or none found, so the EP is not placed.
Institutions
Universities include their faculties and schools (open a row with ▸). Click a name for its profile. Sign-ups and applied: since . Approved and realized: since Feb 2020. People, not applications.
Academic fields
Approved EPs in the filters, with or without a known university. Field = EXPA background of the same academic entry.
By EP's LC
Approved EPs by the LC on their EXPA profile. Coverage = share placed at a Moroccan institution (verified or university only).
How the matching works
Review university spellings.
These are the university names EPs typed that the rules could not place with certainty. One decision applies to every EP who typed that spelling, now and in every future sync. The original spelling is always kept.
Where the market is.
Moroccan universities and schools by size and by how many of their students go on exchange with us. Penetration = unique approved EPs of one term ÷ all students enrolled in 2024-25 (Ministry), as a percentage.
Penetration by institution
Biggest markets, lowest penetration
Every institution with a student figure. Right = more students; up = more of them approved with us this term. Big dots low on the chart are the untapped markets.
Penetration over time
Approved EPs per 10,000 students, by term, for the 15 largest institutions in the filters. Same 2024-25 denominator for every term (older Ministry counts are not loaded).
LC comparison
Each institution counts for the one LC that manages it, so LCs add up to the national total. Penetration = approved EPs of the term ÷ students of the LC's institutions.
Academic fields
Approved EPs of the term by field (all EPs, placed or not). Conversions use one cohort each.
Definitions and limits
LC
Recommended for your LC
Your three highest-scoring institutions, with what to sell there and the first step. Rules applied to the numbers below, not forecasts.
Institutions you manage
Approved EPs of the term ÷ students 2024-25. A university with campuses in several cities appears with the part your LC manages.
Highest potential, not yet reached
Your largest institutions with no approved EP in the last two terms.
Academic fields
EPs from your institutions approved since 2020, by field.
Strongest products
Approvals of EPs from your institutions since 2020, by product (GV split by project). Realized = approved and later realized.
History
Approved EPs per term, counted two ways: by the institution they study at, and by the LC on their EXPA profile.
Your EPs and where they study
Approved EPs whose EXPA profile is in your LC (since 2020): at an institution you manage, at another LC's institution, or not placed yet. This is the attribution gap between the two ways of counting.
LC access codes
MC only. Each LC president opens intel.aiesecmorocco.com with their code and sees the Global GV page and their own LC page, nothing else. A new code stops the old one at once.
What to sell, where.
Products sorted into Core, Growth, Test and Review from Moroccan and worldwide evidence, then every institution scored on eight visible components. The suggestions are rules applied to the numbers, not forecasts: each shows the evidence it rests on.
Scoring weights
MC only. Move a slider to see the ranking change at once; Save applies the weights for everyone. Weights are relative: they do not need to add up to 100.
Product portfolio
Core = strong Moroccan record. Growth = good record or rising. Test = little Moroccan evidence but strong worldwide, pilot first. Review = weak or too little evidence. Popular worldwide is never enough for Core.
Priority targets
Recommendations
Saved lists
MC only. Save the current list to compare it with later weeks.
How the score works
Ask the data.
Ask a question in your own words. The AI analyst answers only from the numbers behind these pages: it runs exact queries on every row, shows each query it ran, and separates what it observed from what it derived, supposes or recommends.
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