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Classify donors into priority segments:

  • Strategic Stars (High priority, under-resourced)

  • Core Partners (High priority, well-resourced)

  • Emerging Opportunities (Medium priority, growth potential)

  • Maintenance Accounts (Low priority, stable)

  • Divestment Candidates (Low priority, declining)

Usage

analysis_donor_segmentation(
  flows,
  recipient_name,
  top_n = 20,
  donor_name = NULL
)

Arguments

flows

Dataframe flows.

recipient_name

Character name of our org (to compute "under-resourced" signals).

top_n

number of observation on the plot

Value

a list with data, aka a Tibble with donor and assigned segment plus Resource_Allocation_Score and a plot.

Details

Uses Engagement_Index, Alignment_Index, Growth_Potential computed from flows.

Examples

result <- analysis_donor_segmentation(flows,
             recipient_name ="United Nations High Commissioner for Refugees" )
print(result$plot)