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How Precision Data Modeling Transformed Sales Efficiency for Sunsave Energy
Client Overview
Sunsave Energy is a leading provider of solar PV installations, helping homeowners transition to renewable energy. Through a sustained partnership spanning over one year, Aya Data has provided specialized geospatial data annotation services that transformed Sunsave’s lead qualification process from a manual bottleneck into a streamlined, high-throughput operation.
Project Duration: 1+ Year (ongoing)
The Challenge: The Slow Path to Solar Leads
Sunsave faced a critical bottleneck in their sales pipeline that was costing them valuable time and revenue. Every prospective customer lead required an immediate technical assessment based on rooftop suitability, but calculating key metrics like panel capacity, optimal orientation, and scaffolding costs demanded specialized knowledge and manual design work using their OpenSolar tool. This time-consuming process created significant delays that resulted in lost sales opportunities and inefficient resource allocation, preventing their sales team from focusing on the most promising prospects.
The company needed a partner who could quickly and accurately classify thousands of properties daily to identify high-potential leads. This would enable their sales team to concentrate exclusively on the most viable customers and dramatically accelerate their path from lead generation to installation.
Our Solution: Precision Geospatial Data Annotation
Aya Data implemented a specialized Lead Qualification Data Annotation Service using Sunsave’s proprietary OpenSolar platform. Our solution transformed a manual design process into a high-throughput, structured data stream that has been successfully maintained for over one year, consistently delivering the volume and accuracy Sunsave needed to scale their operations.
High-Volume Geospatial Modeling
Our specialized team underwent rapid training on Sunsave’s proprietary rules covering panel fitting, shading analysis, and scaffolding banding. We committed to scoring an agreed number of addresses per day through a live spreadsheet system, ensuring Sunsave maintained a steady pipeline of qualified leads. Each day, our annotators performed virtual solar installations on numerous properties, applying complex technical criteria to determine viability.
Complex Rule Adherence
The core of our work involved intricate, specialized data modeling across multiple dimensions:
- Maximum Panel Placement: We designed optimal solar panel layouts with specific constraints including a maximum of 20 panels arranged in no more than 2 groups of 10, while carefully respecting exclusion zones, roof pitch requirements, and automatically disqualifying non-viable materials such as flat or metal roofs.
- Orientation Scoring: We prioritised south, southwest, and southeast-facing roofs to maximize solar efficiency, while automatically disqualifying north-facing placements that would yield insufficient energy production.
- Scaffolding Cost Estimation: We classified properties into specific cost bands including One Side, Two Sides, Easy Bespoke, and other categories based on roof lengths and physical obstructions. These classifications directly feed into the Plus Estimated Savings calculations that inform customer pricing.
Data Structuring and MQL Scoring
We extracted critical metrics including Annual Output, System Size, and Roof Azimuth from each property assessment, using them to calculate the final Irradiance score. Most importantly, we assigned the final MQL (Marketing Qualified Lead) Score of Excellent, Workable, or Poor based on complex criteria encompassing panel capacity, geographic location, and roof type. This scoring system enabled Sunsave’s sales team to immediately filter and prioritize leads, focusing their efforts where they would generate the highest conversion rates.
Impact & Sustained Results
By transforming the lead qualification step from a sales bottleneck into an efficient, scalable data process maintained over a significant period, Aya Data delivered direct, sustained value to Sunsave’s operations.
Results
Over the past year, we:
- Processed 30K+ total properties
- Achieved an average quality rate of 95.84% accuracy across all annotated addresses
This demonstrates our consistent ability to handle complex technical assessments at scale.
Impact
- Accelerated Sales Pipeline: The long-term partnership has allowed Sunsave to score a consistent, high volume of leads daily, permanently reducing the time-to-qualification for high-value properties and enabling faster customer engagement.
- Improved Sales Focus: The MQL Scoring system eliminates non-serviceable leads including properties in Scotland, those with flat roofs, or insufficient panel space. This ensures the sales team’s energy and resources are concentrated solely on “Excellent” and “Workable” prospects with the highest conversion potential.
- Data Integrity and Operational Reliability: Through rigorous adherence to Sunsave’s detailed guidelines and quality audits, Aya ensures the final data is accurate and reliable. This is key as it fuels Sunsave’s operational models and has served as a trusted, scalable extension of their internal capacity for over 12 months.
Sustainable Growth Infrastructure: By establishing a reliable, high-volume lead qualification process, Sunsave has gained the infrastructure needed to scale their business confidently. They knew that every lead entering their sales pipeline had been thoroughly vetted and scored according to their technical and commercial criteria.
Why This Partnership Succeeded
The sustained collaboration between Aya Data and Sunsave Energy demonstrates our ability to master complex, domain-specific workflows and maintain exceptional quality over extended engagements. By combining technical expertise in geospatial analysis with deep knowledge of solar installation requirements, we’ve become an integral part of Sunsave’s growth strategy, enabling them to scale their operations while maintaining the precision and reliability their business demands.
Scale Your Technical Operations with Expert Annotation Services
If your company needs a trusted partner for specialised data annotation services — particularly for geospatial analysis, technical assessments, or complex qualification workflows — Aya Data is here to help. Our proven ability to master proprietary tools, apply intricate business rules at scale, and maintain exceptional quality over long-term engagements ensures your operations can grow without compromise.
Contact Aya Data today to discuss how we can support your business scaling needs.
Disclaimer: Aya Data respects client confidentiality and will not share client details or project information without the client's approval.
