Fragmented Marketing Data
The client struggled to manage data across multiple channels—notifications, engagement, referrals, and deals—without a central system, making optimization difficult.
Limited Visibility into Notification Performance
Tracking delivery, open rates, and user interactions was a challenge. The team couldn’t accurately measure how notifications performed across different platforms, leading to inconsistent engagement.
Unclear Deal Performance Metrics
Measuring offers, revenue impact, and user interactions wasn’t easy. They lacked clarity on how many users clicked on offers and how those interactions led to conversions.
User Engagement Was Hard to Track
The team had difficulty capturing daily active users, session frequency, and platform engagement. Without a clear view of user behavior, optimizing experiences was tough.
Referral Tracking Was a Blind Spot
The client relied on referrals for growth but had no visibility into the full journey. Identifying where users dropped off and which channels worked best was nearly impossible.
Difficulties in Mapping User Journeys
Understanding how users moved from first interaction to conversion was unreliable. Campaign tracking had gaps, and insights on demographics and locations were missing.
When we first sat down to understand the client’s challenges, it was clear that this plan needs to be implemented in 2 phases.
Advanced Notification Tracking – Our developers integrated WebEngage with an SQL database to systematically capture delivery rates, open rates, and engagement across different devices and operating systems.
Performance Analytics for Deals & Offers – We built a real-time monitoring system that analyzed deal volume, user clicks, conversion rates, and monetary impact, helping the client optimize marketing strategies.
User Engagement Metrics Dashboard – Our engineers set up analytics to track daily/monthly active users, session durations, and key engagement hotspots on the platform.
Referral Journey Optimization – We developed tracking mechanisms to analyze drop-off points and referral success across different channels, allowing the team to refine their referral programs.
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Comprehensive User Flow Tracking – Our engineers implemented UTM-based tracking to capture the complete user journey, ensuring accurate attribution of traffic sources and campaign performance.
User Path & Drop-Off Analysis via Power BI – We designed interactive Power BI dashboards that visualized user behavior at each touchpoint, highlighting where users dropped off and where conversion optimization was needed.
Demographic & Location-Based Insights – We introduced advanced segmentation, allowing the client to analyze how different user groups interacted with the platform and tailor marketing efforts accordingly.
UTM Parameter Optimization – We restructured UTM tracking to provide more precise insights into campaign-driven user acquisition and conversion trends.
Visualizing the Entire User Journey – Our Power BI solution mapped the full user path, enabling data-backed decisions on marketing and product improvements.
By integrating WebEngage with SQL and Power BI, we transformed how the client tracks and optimizes digital marketing. With clear data, real-time insights, and structured analytics, the real estate technology firm now make confident, data-backed decisions. Streamlined user journey tracking and smarter campaign strategies have led to higher engagement, better conversions, and stronger marketing performance.
Real Estate & Construction
India
End to End Project Lifecycle Management
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