Customer Overview
Industry
Renewable Energy
Region
United States
Company Size
10,001+ Employees
Featured Solution
AB Tasty
About the Customer
The client is one of the leading residential solar energy providers in the U.S., delivering smart home energy solutions that help homeowners reduce utility costs and improve efficiency. Their product lineup includes solar panels, battery storage, and energy monitoring tools, complemented by flexible pricing and strong support services. With a strong focus on customer acquisition through digital channels, the company continuously looks to optimize user journeys and drive higher lead generation.
Low Lead Conversions Due to Tracking Gaps and User Journey Friction
The client was driving strong traffic and solid campaign performance, but a large share of visitors dropped off before completing the quote or lead request flow, and the team didn't have the visibility to understand why.
At the same time, gaps in the existing tracking framework limited visibility into user behavior, website interactions, and campaign performance.
The client also lacked a clear understanding of how users engaged with key digital touchpoints, making it challenging to assess user journeys and identify areas requiring attention.
Business Implications of Limited Visibility Into User Journeys
Reduced Lead Generation Efficiency
Users dropping off before completing the quote or lead request journey resulted in missed conversion opportunities.
Limited Optimization Opportunities
Gaps in tracking and reporting made it difficult to identify friction points and prioritize improvements across key digital journeys.
Lack of Support for Informed Decision-Making
Incomplete visibility into user behavior reduced the effectiveness of data-driven optimization efforts.
Challenges in Evaluating Campaign Effectiveness
Strong campaign performance could not be fully correlated with lead generation outcomes.
Leveraging AB Tasty, GA4, GTM, and Looker Studio to Improve Lead Conversion Performance
The client needed a structured approach to identify friction points in user journeys, improve engagement with lead-generation pathways, and drive higher conversions.
Grazitti implemented a data-driven optimization strategy that combined experimentation, enhanced tracking, and user experience improvements to derive actionable insights and drive higher conversion performance.
- Experiment Design and Execution
Implemented A/B, A/A, and personalization experiments using AB Tasty to evaluate user behavior, validate hypotheses, and identify high-performing experiences.
- User Journey and Conversion Path Optimization
Created and tested multiple design and content variations to improve engagement, simplify navigation, and increase visibility of key lead-generation pathways.
- User Experience Enhancements
Improved visibility of contact pathways and simplified key user journeys, making it easier for users to connect with the brand and complete lead-generation actions.
- Enhanced Analytics and Tracking Framework
Strengthened the existing tracking setup by implementing custom tracking for critical user interactions, including form submissions, clicks, dial-ins, and engagement actions.
- Tracking Governance and Data Management
Followed best practices for script deployment, tracking governance, and data handling to ensure a secure, reliable, and consistent implementation.
- Audience Segmentation and Behavioral Analysis
Segmented users based on region and customer type to gain deeper insights into behavior patterns and support more targeted optimization efforts.
- Reporting and Performance Visibility Improvements
Integrated analytics and reporting workflows across GA4, GTM, and Looker Studio to provide clearer visibility into user interactions, experiment performance, and optimization opportunities..
Measurable Impact Delivered
The program turned guesswork into a repeatable test-and-learn process and the numbers reflect it. With clearer visibility into how users actually behave, the client now makes faster, evidence-backed calls on what to fix and what to scale next.
Highlights
20–25%
Improvement in Conversion Rate
30–40%
Increase in Lead Generation
20%
Increase in CTA Click-Through Rate
10–12%
Reduction in User Drop-Offs
Conclusion
Beyond improving lead-generation performance, the experimentation and optimization initiatives helped establish a scalable framework for continuous digital improvement. With stronger governance, integrated reporting, and a structured test-and-learn approach, the client is now equipped to evaluate new ideas more efficiently, scale experimentation across touchpoints, and make informed decisions regarding future personalization initiatives.
“We now have greater visibility into how users engage with our digital experiences, enabling us to make data-driven decisions and continuously optimize lead-generation performance.”
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