Results we can put a number on
54 documented engagements. Filter to find work like yours.
Showing 15 of 54 engagements
Customer segmentation analytics suite lifts conversion probability by 30%
An online marketplace platform
How a bespoke customer-segmentation and analytics suite gave an online marketplace the insight to lift its probability of converting users to paying customers by 30%.
Personalising email timing to lift engagement and revenue
A UK high-street retailer
QuantSpark built a behavioural trigger model that personalises the timing of marketing emails, delivering five times the revenue per send and two and a half times the engagement of standard campaigns.
Product recommendation engine lifts email conversion by 25%
UK menswear retailer
A menswear retailer's marketing emails were sending repeat customers on long searches for products they had bought before. QuantSpark's recommendation engine personalised those emails and lifted conversion by 25%.
Building data cubes across subscriptions, usage and marketing for a SaaS business
A private-equity-backed SaaS business
A private-equity-backed SaaS business gained a single view of subscriptions, product usage and marketing through three purpose-built data cubes and self-service dashboards.
Building an AI-powered pricing database for a global aviation operator
A global travel logistics operator
QuantSpark used AI to extract pricing terms buried in scattered contracts and built a queryable pricing database, giving commercial teams clear visibility across customers and stations to support negotiations.
Mapping emerging demand to localise a retailer's vegan range
A leading UK grocery retailer
QuantSpark built a probabilistic demographic model and heatmap to estimate vegan population density at postcode level, informing store-specific ranging that was rolled out nationally across more than 750 stores.
Uncovering £25m of revenue at risk in cruise retail pricing
International travel retailer (cruise division)
An international travel retailer's cruise division was losing margin to thousands of undetected pricing errors. QuantSpark's analytics surfaced more than 120,000 pricing conflicts, equivalent to £25m of revenue at risk.
Predicting renewals and reducing churn at scale
Enterprise cyber security software provider
A large cyber security software provider had seen churn creep up to nearly 8%, well above the SaaS benchmark. QuantSpark's predictive renewals approach is projected to add up to $30m a year by lifting gross retention.
Validating a private equity buy-and-build strategy with recurring-revenue analytics
A private equity owned B2B SaaS group
A private equity owned B2B SaaS group had grown by acquisition, but its business units tracked customers on different systems. Consolidated recurring-revenue analytics gave investors a like-for-like view that validated the buy-and-build thesis.
Lead scoring model lifts sales conversion by 20%
Private equity-backed price comparison and switching service
A price comparison and switching service wanted to point its finite outbound sales team at the highest-value leads. QuantSpark's propensity model delivered a 20% increase in conversion rate.
An interactive data cube supporting the sale of a SaaS business
A private-equity-backed SaaS business
Forensic revenue and churn analytics, delivered as interactive dashboards, withstood investor scrutiny and reinforced the valuation of a SaaS business during its sale.
Predictive churn model drives over £1m in EBITDA
Private equity-backed accounting and HR software provider
A software provider wanted to focus retention effort on its highest-risk customers. QuantSpark's machine-learning model identified likely churners four times more accurately than random selection, supporting an estimated £1m-plus in EBITDA.
A repeatable data-science playbook across a private equity portfolio
A leading European software-focused private equity investor
QuantSpark built a repeatable data-science playbook for a leading European software-focused private equity investor, deploying cloud data platforms and machine learning across its portfolio to reduce churn, sharpen renewals and evidence growth.
Turning a Covid supply shock into $3.8m of recovered revenue
A premium global footwear and lifestyle brand
A premium global footwear and lifestyle brand was left simultaneously over- and under-stocked when the pandemic disrupted its supply chain. QuantSpark built a single optimisation model, powered by machine learning demand forecasting, that recovered $3.8m in net revenue over six months.
An AI roadmap to defend a data moat against generative AI commoditisation
A leading data-centre market-intelligence provider
A leading provider of data-centre market intelligence faced the erosion of its proprietary data moat as generative AI commoditises data synthesis. QuantSpark delivered a four-week AI strategy and roadmap sequencing the shift from data provider to decision platform.