TransUnion (TRU) 2026 Baird Global Consumer, Technology & Services Conference summary

Data strategy and competitive differentiation

• Proprietary consumer identity graph integrates credit, ID, fraud, marketing, and consumer data, leveraging unique access to sensitive information and third-party relationships.

• Acquisitions like FactorTrust and Argus expand data assets, including short-term lending and transaction-level data.

• Continuous data updates and network effects enhance the accuracy and value of the identity graph.

• Partnerships with thousands of data providers and a focus on data freshness drive market confidence.

• Data-driven flywheel effects in fraud mitigation and marketing reinforce product value.

AI integration and business resilience

• AI-enabled customers increase data consumption and update risk models more frequently, improving risk mitigation.

• AI adoption drives demand for new product innovations in marketing, fraud, and identity solutions.

• Regulatory rigor and compliance posture are valued by customers, supporting trust in data usage.

• AI capabilities are expected to provide upside to medium-term growth guidance, not yet fully reflected in forecasts.

• Most AI-resourced clients are among the largest data consumers, benefiting from frequent model refreshes.

Technology transformation and financial outlook

• OneTRU platform consolidates global data management, enabling cost savings and product innovation.

• Transformation program delivered $130 million in cost savings and reduced capital expenditures as a percentage of revenue.

• Plans to launch 30 new products and 40 enhancements by 2026, targeting $500 million in incremental revenue over three years.

• High single-digit growth and at least 50 basis points of margin expansion expected, with AI as potential upside.

• Underlying margin growth is masked by FICO passthrough pricing, with adjusted EBITDA margins reported both including and excluding FICO royalties.