Zipy is helping us in understanding how our customers interact with the platform and where we can improve their experience.

60% Growth: Pick My Trade Boosts CX & Conversions with Zipy

Pick My Trade, a leading software integration platform connecting US brokerages with TradingView, continuously refines its product to offer a seamless, no-code trading automation experience. As part of this commitment, the company sought a data-driven approach to further enhance user interactions, refine their onboarding experience, and increase conversions.

By integrating Zipy, a real-time session analytics tool, Pick My Trade gained valuable user insights, enabling them to fine-tune the platform’s usability, improve customer engagement, and drive a 50-60% impact on business growth.

Introduction - About Pick My Trade

Pick My Trade is a software integration platform that bridges the gap between US brokerages and TradingView, allowing traders to automate their strategies effortlessly. Without requiring any coding, the platform enables users to connect their trading accounts and execute trades based on their pre-set strategies.

Business Goals & Continuous Improvement

Since its inception, Pick My Trade has consistently evolved to ensure a seamless and intuitive experience for its users. Recognizing the importance of understanding user behavior, the team sought a real-time solution that could provide deeper visibility into how customers interact with the platform.

While traditional log analysis provided useful information, the company looked for a more intuitive way to assess user interactions, refine their interface, and optimize the onboarding journey.

The Solution: Leveraging Zipy for Data-Driven Insights

To enhance user experience and fine-tune how customers interact, Pick My Trade explored several solutions, including LogRocket and Microsoft Clarity, before selecting Zipy for its real-time session analysis and user engagement insights.

Why Zipy?

• Seamless access to user session recordings, allowing the team to proactively optimize workflows.
• Data-backed insights that enabled product improvements based on actual user interactions.
• Quick issue identification, streamlining the decision-making process for product refinements.

How Pick My Trade Uses Zipy

• Real-time review of user interactions to refine the customer journey.
• Optimized onboarding experience, leading to higher user engagement and conversion rates.
• Improved decision-making by using session data to enhance platform usability.

The Results: A 50-60% Impact on Business Growth & Customer Engagement

By integrating Zipy, Pick My Trade was able to fine-tune its platform based on real-time user feedback, leading to significant improvements in engagement, efficiency, and business performance.

Key Outcomes:

✔ Enhanced Customer Experience
Users found the platform more intuitive, leading to positive feedback and higher engagement.

✔ Optimized Conversions
By refining the user journey based on data-driven insights, Pick My Trade saw a 50-60% increase in business impact.

✔ More Efficient Product Development
With real-time visibility into customer interactions, the team could make faster, more informed decisions to improve the platform.

✔ Proactive Enhancements
Instead of relying solely on traditional methods, session insights provided a more direct approach to refining usability and user engagement.

As Pick My Trade's Founder Mr. Bhavishya Goyal noted,‍

our product is now 200% different from what we initially designed, because we're constantly learning and adapting as we can see what our customer is struggling with.

Conclusion:

Zipy has proven to be a valuable asset for Pick My Trade, providing real-time insights into user behavior and enabling them to optimize their platform for increased conversion rates and improved customer satisfaction. By focusing on user-centricity and leveraging the power of user session recording and analysis, Pick My Trade has established a strong foundation for continued growth and success. Zipy empowered Pick My Trade to move from relying on assumptions to data-driven decisions, fostering a culture of continuous improvement. As Mr. Bhavishya Goyal summarized, "Zipy is solving a pain point for us and it's really helpful."