Total Wealth Data represents the complete, financial picture of an individual or household, encompassing all investment accounts, holdings, and assets across multiple custodians and financial institutions. This goes beyond traditional account aggregation by integrating multi-custodial, back-office, and financial product data from a broad range of sources, including broker-dealers, prime brokers, banks, insurance carriers, asset managers, retirement plan providers, and 401(k) recordkeepers. By consolidating previously fragmented data into a single, enriched dataset, Total Wealth Data empowers financial firms with unmatched visibility, deeper insights, and the chance to personalize strategies to reflect the full scope of a client’s financial life.

In today’s digital-first wealth management landscape, access to accurate, multi-source Total Wealth Data is essential for powering next-generation financial planning, investment management, and advisory solutions. Without it, fintech firms and wealth management platforms are constrained by incomplete data, manual reconciliation, and operational inefficiencies that limit innovation and client engagement. A true Total Wealth Data strategy doesn’t just aggregate information—it standardizes, enriches, and delivers actionable insights that fuel personalized financial experiences, AI-driven analytics, and scalable digital wealth solutions.

Example of How Companies Utilize Total Wealth Data

• Enhance Personalization: Advisors and fintech platforms can offer tailored financial advice based on a more complete view of a client’s financial picture, or an advisor’s entire book of business.
• Improve Financial Decision Making: Richer insights and analytics can be used to optimize portfolio allocation and risk management.
• Create AI-Driven Solutions: Advanced analytics tools identify financial trends, anomalies, and investment opportunities based on timely client and investment account data that spans essential account types and asset classes.
• Portfolio Management & Investment Analytics: Automated portfolio construction and optimization engines leverage Total Wealth Data to automate asset allocation, tax-smart recommendations, and rebalancing.

A Closer Look at The Types of Total Wealth Data

1. Investment Accounts
   • Brokerage accounts (e.g., Charles Schwab, Fidelity)
   • Retirement accounts (401(k), IRA, pension plans)
2. Banking Accounts
   • Checking and savings accounts
   • Certificates of deposit (CDs) and money market accounts
   • Income sources (salaries, dividends, rental income)
3. Real Estate Investments
   • Directly owned real estate
   • Private equity, hedge funds, venture capital holdings
4. Liabilities & Debt Management
   • Mortgages and home equity lines of credit (HELOCs)
   • Student loans, personal loans, credit card debt
5. Insurance & Structured Financial Products
   • Life, health, disability, and property insurance
   • Annuities, structured settlements, and trust accounts
6. Financial Planning & Tax Considerations
   • Estate planning and wealth transfer
   • Charitable giving and donor-advised funds
7. Alternative Investments
   • Other non-traditional investment vehicles such as cryptocurrency, hedge funds, commodities, etc.

BridgeFT’s Total Wealth Aggregation

Without a seamless aggregation strategy, accessing and normalizing Total Wealth Data can be a major challenge for firms looking to deliver innovative, data-driven solutions.

Through the flagship WealthTech API platform, BridgeFT aggregates multi-custodial wealth data empowering firms with accurate and enriched client account information across asset classes. This includes over 900 direct feeds from custodians, back office providers, broker-dealers, correspondent clearing firms, prime brokers, banks, insurance carriers, asset managers, retirement plan providers, 401(k) recordkeepers and more. Through BridgeFT’s multi-custodial data aggregation capabilities, financial institutions and technology providers are able to access a single source of truth for client, account, securities, and transactional data that spans both public and private markets across hundreds of financial data sources to power next-generation applications and to fuel deeper transparency and insight into client portfolios

This is done through an API-first, cloud-native approach. Additionally, our data enrichment capabilities automatically calculate Time-Weighted Return (TWR) and Internal Rate of Return (IRR) performance for all accounts, regardless of custodian source. This includes monthly, quarterly, and annually as well as custom date range performance calculations across accounts and households as well as standard and custom benchmarks. This gives firms access to deep portfolio analysis, including risk/return, attribution, asset allocation analysis, target vs. actual, fees, security and model level performance. BridgeFT is at the forefront of the Total Wealth Data revolution, offering unparalleled access to previously difficult to access data, all supported on modern, scalable technology infrastructure.