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KPI / Driver Tree

for Raising of horses and other equines (ISIC 0142)

Industry Fit
8/10

High fragmentation in data and significant logistical overhead make a structured driver tree vital for isolating what truly adds value to an animal's sale price.

Why This Strategy Applies

A visual tool that breaks down a high-level outcome into the specific, measurable drivers that influence it. Requires data infrastructure (DT) for real-time tracking.

GTIAS pillars this strategy draws on — and this industry's average score per pillar

FR Finance & Risk
PM Product Definition & Measurement
LI Logistics, Infrastructure & Energy
DT Data, Technology & Intelligence

These pillar scores reflect Raising of horses and other equines's structural characteristics. Higher scores indicate greater complexity or risk — see the full scorecard for all 81 attributes.

Strategic Overview

The KPI Driver Tree provides a granular breakdown of how individual horse operational metrics—such as feed conversion, veterinary care intervals, and training progress—contribute to ultimate market valuation. In an industry defined by information asymmetry and high logistical costs, this tool transforms subjective 'quality' assessments into quantifiable data points.

By leveraging this model, equine operators can reduce reactive decision-making. Mapping these drivers ensures that the supply chain, from the first year of life to sale, is optimized for consistency, health, and pedigree integrity, ultimately maximizing the sale premium at auction or private treaty.

2 strategic insights for this industry

1

Data-Driven Valuation

Moving from subjective pedigree assessment to data-backed health and performance metrics significantly reduces valuation inconsistency.

2

Logistical Margin Erosion

High transportation costs are often hidden in overhead; tree mapping exposes the true cost of asset movement.

Prioritized actions for this industry

high Priority

Centralize health and training logs into a unified digital management system

Reduces information asymmetry and increases the transparency required for high-value sales.

Addresses Challenges

From quick wins to long-term transformation

Quick Wins (0-3 months)
  • Digitize daily care logs for improved auditability
Medium Term (3-12 months)
  • Implement RFID tracking for individual animal identity preservation
Long Term (1-3 years)
  • Advanced analytics for predicting auction outcomes based on performance trends
Common Pitfalls
  • Over-indexing on data entry while neglecting the 'human touch' of husbandry

Measuring strategic progress

Metric Description Target Benchmark
Cost-to-Sale Ratio Total cumulative OpEx per horse divided by final sale price Under 60% of sale price
About this analysis

This page applies the KPI / Driver Tree framework to the Raising of horses and other equines industry (ISIC 0142). Scores are derived from the GTIAS system — 81 attributes rated 0–5 across 11 strategic pillars — which quantifies structural conditions, risk exposure, and market dynamics at the industry level. Strategic recommendations follow directly from the attribute profile; they are not generic advice.

81 attributes scored 11 strategic pillars 0–5 scoring scale ISIC 0142 Analysed Mar 2026

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APA 7th

Strategy for Industry. (2026). Raising of horses and other equines — KPI / Driver Tree Analysis. https://strategyforindustry.com/industry/raising-of-horses-and-other-equines/kpi-tree/

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