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PandaFlow – SAAS-Based Web Application Case Study

PandaFlow, a SAAS-based web app by Decodermind, helps businesses track and analyse user behaviour, providing insightful data to inform decisions that enhance the user experience.

Country

Global

Launch

Q1 2024

Timeline

5 Months

Industry

E-commerce

Team

6 Members

Platform

Web


About the Project

An e-commerce client struggled to convert high website traffic into sales, so they hired Decodermind to create PandaFlow. This web application tracks user behaviour, identifying where customers drop off in the conversion journey.


The Challenge

. Low Conversion Rates: Despite high online traffic, the client experienced low conversion rates.

. User Behaviour Insight: Needed detailed insights into user interactions on the website to understand drop-off points.

. Data-Driven Improvements: Required data to make informed decisions to enhance the website and user experience.

The Solution

. User Interaction Data: Provided precise data on user interactions, including pages visited, time spent on each page, and links clicked.

. Behavioural Insights: Enabled identification of critical issues such as a cumbersome checkout process and insufficient product information.

. User-Friendly Interface: Designed an intuitive interface for easy access and understanding of user behaviour data.

What we delivered

. Enhanced Analytics: Detailed insights into user behaviour on the client's website.

. Identified Key Issues: Pinpointed specific problems in the user journey, such as the checkout process and product information gaps.

.Actionable Data: Provided data that enabled the client to make targeted improvements to their website.

Team

1 Project Manager, 2 Frontend Developers, 2 Backend Developers, 1 Data Analyst

Technologies

React.js, Node.js, Express.js, MongoDB, Google Analytics API, Custom Tracking Scripts, SSL Encryption, Data Privacy Compliance

Client Review

PandaFlow provided us with invaluable insights into user behaviour on our website. The detailed data helped us identify and rectify key issues, leading to significant improvements in our conversion rates and overall user experience. The intuitive interface made it easy to access and understand the data, allowing us to make informed decisions quickly.


Conclusion

Decodermind's PandaFlow, a SAAS-based web application, drove significant success for an e-commerce client. By providing insights into user behaviour, the client identified and addressed key issues, resulting in:

. 20% sales increase within the first month.

. Higher conversion rates.

. Increased user engagement (more time spent on the website and pages viewed).

. Optimised marketing efforts with higher ROI.

PandaFlow's data-driven approach enhanced the user experience and boosted business outcomes.


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