How to Make an App Like Betterment

How to Make an App Like Betterment

Robo-advisors changed the way ordinary people invest. Betterment, one of the pioneers of the category, turned portfolio management — once reserved for high-net-worth clients with private advisors — into something anyone could start with a few taps and a small deposit. Today it manages tens of billions in assets for hundreds of thousands of customers.

If you're planning to build a wealth management or automated investing app, this guide walks through what Betterment actually does under the hood, the features you'll need, the tech and compliance decisions involved, and what it realistically costs to get to market.

What Makes Betterment Work

Before writing a line of code, it helps to understand why users trust the product.

Automation over expertise. Users answer a short questionnaire about goals, timeline, and risk tolerance. The platform builds and maintains a diversified portfolio of low-cost ETFs for them. No stock picking, no jargon.

Low, transparent fees. A flat annual percentage on assets under management, clearly disclosed, undercuts traditional advisors dramatically.

Goal-based framing. Instead of showing a raw brokerage account, the app frames everything around outcomes: retirement, a house down payment, an emergency fund. Progress bars beat ticker symbols for emotional engagement.

Set-and-forget mechanics. Automatic deposits, automatic rebalancing, automatic tax-loss harvesting, automatic dividend reinvestment. The user's job is to keep funding the account.

Any competitor needs to match this baseline of simplicity while finding a differentiator — a niche audience, a specific asset class, better tax tooling, or a regional market that incumbents ignore.

Core Feature Set

Onboarding and Risk Profiling

The signup flow is your highest-leverage screen. Betterment's questionnaire is short — age, income, goal type, time horizon, and a few risk-attitude questions — and it produces an immediate recommended allocation. Show the recommendation before asking for money.

You'll also need identity verification (KYC) baked into this flow: legal name, address, date of birth, and a government ID or tax identification number, verified against watchlists.

Account Funding and Bank Linking

Users connect a bank account via an aggregator like Plaid, MX, or Yodlee, then set up one-time or recurring transfers via ACH. Support instant micro-deposit verification if possible; multi-day verification kills conversion.

Portfolio Construction Engine

This is the analytical core. It typically includes:

• An asset allocation model mapping risk scores to target weights across equity and fixed-income ETFs
• A glide path that de-risks the portfolio as the goal date approaches
• Fractional share support so a $50 deposit can be allocated across a dozen funds
• Drift monitoring that triggers rebalancing when weights stray past a threshold

Automated Rebalancing

Rebalance on cash inflows first (buy the underweight assets with new money), then via sells only when necessary. This minimizes taxable events and trading costs.

Tax Optimization

Tax-loss harvesting is a major differentiator for taxable accounts. It sells positions at a loss, books the loss for tax purposes, and buys a correlated but not "substantially identical" replacement to stay invested while avoiding wash-sale rules. Asset location — placing tax-inefficient holdings in tax-advantaged accounts — is another advanced feature worth planning for.

Goals and Projections

Let users create multiple goals with separate allocations. Run Monte Carlo simulations to show likely outcome ranges and whether the user is on track. Nudge them when they're behind.

Dashboard and Reporting

Clean performance charts, time-weighted and money-weighted returns, contribution history, fee disclosure, and downloadable tax documents (1099-B, 1099-DIV, 5498 for IRAs).

Retirement Accounts

Traditional IRAs, Roth IRAs, SEP IRAs, and 401(k) rollovers significantly expand your addressable market. They also add contribution-limit tracking and additional reporting requirements.

Human Advice Layer

Betterment added access to certified financial planners for premium tiers. A chat or scheduled-call feature is a strong upsell and a trust builder.

Security and Notifications

Biometric login, two-factor authentication, session management, transaction alerts, and clear communication about SIPC coverage and custodial arrangements.

The Regulatory Reality

This is the part that separates a fintech build from a typical app project. You cannot ship an investing app without addressing it.

Registration. In the U.S., managing client assets for a fee generally means registering as an Investment Adviser with the SEC (or state regulators, depending on assets under management). Executing trades may require a broker-dealer entity registered with FINRA, or a partnership with one.

Custody. You almost certainly won't custody assets yourself. You'll partner with a clearing and custody provider — Apex Clearing, DriveWealth, Alpaca, or similar — who holds securities, executes trades, and handles settlement. Their APIs become a core dependency.

KYC/AML. Customer identification programs, ongoing monitoring, suspicious activity reporting, and sanctions screening via providers like Alloy, Persona, or Jumio.

Disclosures. Form ADV, advisory agreements, fee disclosures, and clear, non-misleading performance presentation. Marketing copy is regulated too.

Data protection. Encryption in transit and at rest, SOC 2 Type II, penetration testing, and audit logging of every advisory decision and trade.

Outside the U.S., the analogues are FCA authorization in the UK, MiFID II across the EU, SEBI registration in India, and so on. Pick your launch market early — it shapes the entire architecture.

Budget for a fintech-specialized law firm from day one. Retrofitting compliance is far more expensive than designing for it.

Technology Stack

Mobile. Native Swift and Kotlin give you the best performance and security posture. Flutter or React Native are viable if you want one codebase and faster iteration — many successful fintechs use them.

Backend. A microservices architecture works well here because the domains are naturally separable: identity, accounts, portfolios, trading, ledger, notifications, reporting. Go, Java/Kotlin, or Python are all common. Python is particularly convenient for the quantitative and modeling services.

Data layer. PostgreSQL for transactional and ledger data with strict ACID guarantees. A time-series store for market data. Redis for caching and session state. Kafka or similar for event streaming between services — every trade, deposit, and rebalance should be an immutable event.

Ledger. Build a proper double-entry ledger. Do not track balances as mutable integers in a users table. This decision will save you during your first audit.

Third-party integrations. Custodian/broker API, bank aggregator, market data feed, KYC/AML vendor, e-signature, document generation, and a customer support platform.

Infrastructure. AWS or GCP with infrastructure-as-code, multi-AZ deployment, automated backups, and a documented disaster recovery plan. Financial regulators will ask about business continuity.

Design Principles That Matter

Investing apps fail on trust more often than on features.

• Show the number that matters. Total balance and progress toward goal, immediately, without a tap.
• Reduce anxiety during drawdowns. When markets fall, the app should contextualize, not amplify. Long-term charts, not daily red.
• Make fees visible. Hidden costs are the fastest way to lose credibility in this category.
• Progressive disclosure. Beginners see three numbers. Power users can drill into holdings, tax lots, and allocation detail.
• Accessibility. Large touch targets, high contrast, screen reader support. Your users span a wide age range.

Monetization Models

• Percentage of AUM — the standard: roughly 0.25% annually for basic tiers, higher for premium with human advice.
• Flat monthly subscription — appeals to smaller accounts and is simpler to communicate.
• Tiered plans — free basic tracking, paid automated management, premium advisory access.
• Adjacent products — high-yield cash accounts, lending, insurance referrals, checking products.
• B2B2C — white-labeling your platform to banks, credit unions, or employers.

Note that AUM-based pricing means slow early revenue. A user with $2,000 invested generates $5 a year. Model your unit economics with realistic account sizes and long payback periods.

Development Roadmap

Discovery and compliance planning (4–8 weeks). Market research, regulatory strategy, entity structure, custodian selection, feature prioritization.

Design (4–6 weeks). User flows, wireframes, high-fidelity UI, interactive prototype, usability testing with target investors.

MVP build (4–6 months). Onboarding, KYC, bank linking, one account type, a single-goal portfolio with automated rebalancing, and a clean dashboard. Resist scope creep.

Integration and testing (6–10 weeks). Custodian sandbox testing, trade reconciliation, edge cases around partial fills and settlement, security audit and penetration testing.

Regulatory approval and launch. Registration timelines vary widely — plan for months, not weeks. Soft-launch with a small cohort and monitor reconciliation daily.

Post-launch. Tax-loss harvesting, retirement accounts, multiple goals, advisor chat, and whatever your analytics say users actually want.

Cost Expectations

A compliant MVP for a single market typically lands in the $150,000–$300,000 range for design and development, before legal and licensing. A full-featured platform with multiple account types, tax optimization, and advisor tooling commonly runs $400,000–$800,000 or more.

Additional ongoing costs to plan for:

• Legal and regulatory: $50,000–$150,000+ for setup, plus annual compliance
• Custodian and clearing fees: per-account and per-trade
• Market data licensing
• KYC/AML per-verification costs
• Cloud infrastructure and security audits
• Customer support staffing

Where New Entrants Actually Win

Competing head-on with Betterment on generic robo-advice is difficult. The successful newer players found angles:

• Underserved demographics — first-generation investors, gig workers, specific cultural or religious investing preferences (Sharia-compliant portfolios, for example)
• Values-based investing — ESG, climate, or thematic portfolios with genuine screening
• Geographic markets where automated advice is still nascent
• Embedded investing — offering the capability inside an existing app with distribution, such as a banking or payroll product
• Superior tax intelligence for high earners with complex situations
• Alternative assets — real estate, private credit, or crypto allocations alongside traditional holdings

Final Thoughts

Building an app like Betterment is a fintech infrastructure project wrapped in a very simple user interface. The visible product is a handful of clean screens; the invisible product is a ledger, a trading pipeline, a compliance program, and a set of custodial integrations that all have to be correct every single day.

Start with the regulatory path, pick your custodian early, build the ledger properly, and ship a narrow MVP to a specific audience. The automation and optimization features that define the category can follow once you have real accounts, real money movement, and real feedback.

If you're evaluating this build, the most valuable early step is a discovery engagement that maps your target market to a concrete regulatory and technical architecture — before development begins.

Have a project in mind? Contact Sodio Technologies to discuss your requirements and explore the right technology solution for your business.