Performance Increase
Pricing Errors Eliminated
Ongoing Partnership
Product Listings Processed
The Challenge
What MoneySupermarket Needed
MoneySupermarket had several retail verticals that were underperforming. The root cause wasn't traffic or marketing. it was the data. Product comparison datasets were riddled with inconsistencies, incorrect pricing, and gaps that undermined the customer experience.
Bad Data
Product comparison data was inconsistent and incomplete. Customers couldn't trust what they were seeing, so they didn't engage.
Pricing Errors
Incorrect pricing was making it through to the live site, damaging credibility and creating a poor customer experience at the point of decision.
Scale
Thousands of products with different data structures, providers, and update frequencies. all needing to be accurate and consistent.
Underperformance
Several retail verticals were significantly underperforming against benchmarks, and the team needed to understand why and fix it fast.
Our Approach
What We Delivered
The problem was the data. The solution was building a comparison dataset with such high integrity that it fundamentally changed the customer experience. and the numbers followed immediately.
High-Integrity Comparison Dataset
We produced a product comparison dataset from scratch that was so accurate and complete it transformed the customer experience overnight. Shoppers could finally trust what they were comparing, and the effect on engagement was immediate. a 10x performance increase across the underperforming verticals.
Automated Error Detection
We built systems to continuously refine the data and check for inconsistencies before they reached the live site. Incorrect pricing, missing fields, stale listings. our validation layer caught it all. Errors were reduced by 99%, meaning bad data simply didn't make it to the customer.
Unified Data Architecture
Products came from different providers with different data structures and update cadences. We built a unified data pipeline that normalised everything into a consistent, queryable format. giving the comparison pages a single source of truth.
Ongoing Data Refinement
This wasn't a one-off data migration. Over three years we continuously refined the dataset, added new validation rules as edge cases emerged, and tightened the quality bar as the platform evolved.
The Results
The Impact Was Immediate
Better data meant a better customer experience. A better customer experience meant better numbers. It wasn't gradual. it happened straight away.
Performance Increase
Underperforming retail verticals saw a tenfold performance increase the moment the new comparison dataset went live.
Errors Eliminated
Incorrect pricing and inconsistent data stopped reaching the live site. Our validation systems caught it before customers ever saw it.
Partnership
A three-year engagement continuously refining the dataset and tightening validation as the platform evolved.
“The dataset Dynamics produced was on another level. The quality was so high that underperforming verticals turned around immediately. Their error detection systems meant we could trust the data on the site completely. incorrect pricing simply stopped getting through.”
MoneySupermarket Team
Scope
Services delivered.
A data-first engagement focused on building the systems that made everything else work.
Comparison Dataset Build
High-integrity product comparison data built from scratch across multiple retail verticals
Error Detection & Validation
Automated systems to catch pricing errors and inconsistencies before they reached the live site
Data Pipeline Architecture
Unified pipeline normalising data from dozens of providers into a consistent, scalable format
Ongoing Data Refinement
Continuous improvement over three years. new validation rules, edge case handling, expanded coverage
Quality Assurance & Monitoring
Automated QA systems ensuring data integrity at scale, catching errors before they reached customers
Continuous Improvement
Three years of ongoing refinement. new rules, edge case handling, and evolving with the platform
