Order Value Growth: Multi-Phase Basket Affinity Scaling
Mapping customer purchasing patterns, item combinations, and building a long-term commercial reporting suite.
Vertical
Retail & ecommerce
Solution
Data Management & Infrastructure
Capability
Data Engineering | Business Intelligence | Reporting | KPI Framework
Benefits
Targeting the highest priority first while planning for the future provided immediate wins and an expandable operational roadmap:
Immediate Full-Price Bundling: Replacing broad promotional codes with data-backed product bundles immediately increased baseline order values while protecting individual product profitability.
An Expandable Reporting Suite: The day-one deployment successfully delivered the first of a planned suite of reports, giving the team an ongoing framework to launch future inventory, seasonal menu, and customer health tracking.
Long-Term Capability Activation: By shifting from isolated data fixes to a structured roadmap, leadership can now continuously self-serve insights, turning their transactional data into a permanent asset for future product development.
Solution
To make sure we deliver value from day 1, we focused the initial deployment on the brand's highest priority: a deep market basket analysis. Starting with a CDP to include the data needed as mapped during the refinement phase, we ensured the backend was built as a modular framework. This initial setup evaluated historical transaction combinations to isolate the exact flavor and category pairings that naturally co-occurred in high-value orders, allowing the business to capture immediate value while setting up a suite of reports for the long term.
Challenge(s)
To drive sales volume, the brand was relying on broad promotional strategies that hurt product profitability. The leadership team faced several critical limitations:
Discount-heavy promotions: The team frequently used sitewide discount codes to boost basket sizes, because they lacked the insights to build targeted, full-price product bundles.
Instinct-based merchandising: Flavor pairings and gift boxes were created based on internal assumptions rather than actual buying behavior, resulting in low conversion rates for multi-packs.
Short-term analytical limits: The business was caught in a cycle of reactive, one-off reporting, leaving them unable to track how initial product combinations influenced long-term customer value.
Summary
A premium food and beverage brand focusing in the UK market, partnered with us to increase average order value without relying on sitewide discounts. While the long-term goal was a comprehensive suite of commercial reports, we delivered immediate value on day one by focusing on their highest priority: product combinations. We created a CDP with the data needed as mapped during the refinement phase, setting up a scalable foundation for long-term analytical capabilities


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