Webull is one of the world's fastest-growing digital brokerage and trading platforms, serving over 25 million users globally. Together, we designed and implemented a capital markets growth & activation system using behavioral intelligence, AI-driven activation, cross-product monetization, and product-led growth to transform millions of users into long-term, high-value investors.
Real-time behavioral intelligence, AI-driven activation, and cross-product monetization — built for a regulated 25M+ user platform.
Webull is one of the world's fastest-growing digital brokerage and trading platforms, serving over 25 million users globally.
The platform enables retail investors to trade stocks, ETFs, options, futures, crypto, bonds, paper trading, and advisory portfolios across mobile apps, desktop platforms, and web terminals.
Webull competes directly with Robinhood, Interactive Brokers, eToro, TD Ameritrade, and Fidelity, but differentiates itself through advanced charting, real-time data, multi-asset ecosystem, community layer, and AI tooling (Vega).
Webull is a regulated financial platform overseen by SEC, FINRA, SIPC, and NFA — making all growth systems subject to strict compliance, transparency, and ethical requirements.
Webull did not have a "growth problem". They had a growth complexity problem.
Webull had millions of registered users, but internally saw that most users only traded stocks, with very low adoption of options, futures, bonds, crypto, and advisory.
Advanced tools were underutilized, and there was high churn after first few trades.
Users signed up, but did not fully activate into high-LTV traders.
Webull offers 10+ major product lines, 50+ core features, and dozens of advanced tools — but users were navigating randomly, not strategically.
There was no system to guide users through products, recommend next actions, match user profile to features, or predict lifetime value.
Webull has one of the largest trading communities with millions of posts, sentiment data, behavior data, watchlists, and social interactions.
But this data was not being used to drive onboarding, improve retention, recommend instruments, or personalize experiences.
Because Webull is SEC, FINRA, SIPC, and CFTC regulated, they cannot use aggressive marketing tactics, dark UX patterns, or non-compliant nudges.
All growth systems must be transparent, auditable, compliant, and ethical — making growth much harder than normal SaaS.
Webull partnered with 1World.dev to design and implement a Capital Markets Growth & Activation System.
The goal was to:
Transform sign-ups into fully activated traders.
Guide users through options, futures, crypto, bonds, and advisory.
Create horizontal monetization across asset classes.
Reduce churn and increase long-term engagement.
Monetize behavioral data and product usage.
All systems transparent, auditable, and ethical.
Not marketing. Not ads. But product-driven growth engineering.
We approached Webull as a capital markets growth infrastructure project, not a marketing campaign.
We began by mapping Webull's entire ecosystem across user dimensions (beginner investors, active traders, options traders, crypto traders, long-term investors, institutional users), product graph (stocks, ETFs, options, futures, crypto, bonds, paper trading, advisory, Vega AI, community, desktop), and behavioral signals (trade frequency, instruments traded, session duration, watchlists, community activity, risk tolerance, portfolio size).
This allowed us to design a growth graph: User Behavior → Product Fit → Activation Path → Monetization Potential
We built a real-time segmentation system that classified users into passive investors, active retail traders, high-frequency traders, options-ready users, futures-ready users, crypto-first users, and long-term portfolio builders.
Segmentation was based on trading behavior, portfolio composition, time on platform, community activity, tool usage, and risk profile.
This turned Webull from "One platform for everyone" into "A personalized trading OS for each user type".
We designed a progressive activation engine. Instead of dumping all features on users, the system now detects user stage, recommends next features, unlocks tools gradually, guides learning paths, and suggests relevant products.
Examples:
Every user had a custom financial journey.
We engineered multiple growth loops that made growth self-reinforcing:
We helped Webull integrate Vega into user onboarding, feature discovery, market analysis, sentiment tracking, and portfolio insights.
Vega became not just a tool, but a core activation layer. Users now ask Vega questions, get market summaries, receive personalized insights, discover new instruments, and trade more confidently.
This massively increased session time, tool usage, feature adoption, and retention.
We built systems that detect user readiness, recommend higher-value products, and trigger compliant upgrade paths.
Examples:
This created horizontal monetization across products.
We implemented churn risk scoring, inactivity detection, drop-off prediction, and re-engagement triggers.
If a user stops trading, reduces sessions, or leaves community, the system activates educational flows, recommends new products, sends relevant insights, and guides them back into activity.
We delivered Webull a real-time dashboard covering growth metrics (activation rates, feature adoption, cross-product usage, retention cohorts, LTV per segment, ARPU per product) and behavioral intelligence (what users do before upgrading, what causes churn, which features drive retention, which tools create power users).
This turned Webull into a data-driven financial platform.
Users started using options, futures, crypto, bonds, and advisory instead of staying stock-only. Feature adoption increased dramatically across all asset classes.
Users stayed longer, traded more often, used more tools, and became more invested in the platform. Churn decreased significantly.
Because users now use multiple asset classes, stay active longer, adopt premium features, and engage with AI tools, LTV increased substantially.
Webull no longer depends purely on marketing, ads, or promotions. Growth now comes from the product itself — with self-reinforcing loops and behavioral intelligence.
This project positioned 1World.dev as a fintech growth engineer, a capital markets systems architect, a product intelligence partner, and a behavioral data expert.
Not a marketing firm. Not a dev shop. But a growth infrastructure company for financial platforms.
This was capital markets growth engineering for a regulated 25M+ user platform. We weren't running campaigns — we were building the infrastructure that powers product-led growth across multiple asset classes, user segments, and compliance requirements.
We didn't market the platform. We made it grow from the inside.
"1World.dev transformed our growth from marketing-dependent to product-driven. We now operate a fully intelligent, self-optimizing financial operating system that activates users, increases feature adoption, and drives LTV — all while maintaining full regulatory compliance. This isn't marketing — it's growth infrastructure."
Webull now operates with personalized user journeys, AI-driven activation, cross-product monetization, behavioral intelligence, predictable retention systems, and data-driven growth loops.
What used to be a powerful trading platform is now a fully intelligent, self-optimizing financial operating system.
For Webull, we didn't run campaigns. We engineered a capital markets growth system — using behavioral intelligence, AI activation, and product-led monetization to transform millions of users into long-term, high-value investors.
At 1World.dev, we don't market platforms. We make them grow from the inside.