Decision Intelligence System
Identify unrealised customer value, the most effective mechanics and build confidence before you invest, mobilise your business or communicate to customer.
Rapid Value Mapping is a structured approach to identifying unrealised commercial headroom within a customer base by analysing the relationship between customer behaviours, engagement patterns, revenue, margin and customer lifetime value.
Using segmentation, comparative cohort analysis and predictive modelling, it identifies where disproportionate value is created, where it is under-realised, and which customer groups present the greatest opportunity for growth.
By comparing behavioural and commercial performance across similar customer cohorts, it surfaces value gaps, behavioural headroom and areas of potential value leakage tailored to a client’s business.
Value opportunity from increasing average order value through basket expansion, premiumisation, cross-sell, or better merchandising.
Value opportunity from increasing purchase frequency or reducing time between purchases among active customers.
Adjustment for demand pulled forward by promotions or incentives that may not represent incremental long-term value.
Value at risk from customers ceasing to transact with the organisation.
Value at risk from customers who remain active but are reducing spend, basket size, or purchase frequency.
Margin leakage caused by unnecessary, excessive, or poorly targeted discounting and promotional incentives.
Value leakage from refunds, returns, compensation, or refund-heavy customer behaviour.
Cost or value drag associated with elevated service contact, support demand, complaints, or avoidable customer effort.
Value loss linked to delivery, fulfilment, availability, delays, or operational experience issues.
Operational and margin drag caused by processing, handling, and resolving returns.
Friction or value loss linked to payment failures, payment method issues, or payment-related conversion barriers.
A series of predictive models are then optimised to each of the main types of potential headroom and potential uplift estimated.
Headroom can then be explored by audience segments, headroom types and headroom pots.
Rapid Value Mapping provides fast, evidence-led clarity on where the most meaningful commercial opportunities are likely to be found, helping organisations prioritise interventions that can improve retention, increase spend and grow customer lifetime value.
Want to see where the biggest opportunities for growth exist in your customer base?
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Strategic Lever Design is a structured approach to identifying and modelling the interventions most likely to improve commercial performance across a customer base. It assesses how different strategic levers may influence customer behaviours, retention, spend, contribution and lifetime value.
A series of potential strategic interventions are defined and agreed with the client in addition to standard interventions already in the system.
Interventions are evaluated against specific customer segments, behavioural patterns and value opportunities. Using historic customer data, baseline coefficients are estimated and moderated using previous strategic changes, results from previous tests, and using the Engrama Coefficient Library.
These interventions are then assessed based on expected contribution, scalability, addressable headroom and likely return on investment to identify where action is most likely to generate meaningful value.
Strategic interventions are ranked based on estimated contribution.
And can be explored based on specific objectives, headroom pots and audience segments.
Strategic Lever Design provides an evidence-led framework for prioritising initiatives that can drive measurable commercial growth, reduce value leakage and improve customer outcomes through targeted, high-impact interventions.
Want to see which customer strategies will give you the biggest return?
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The Quantum Customer Twin is the core of the digital twin, creating a virtual representation of a customer ecosystem that allows organisations to test how different combinations of propositions, features, benefits and strategic interventions may influence customer behaviour over time.
It models the interaction between customer segments, behavioural drivers, commercial value and strategic actions within a continuously configurable framework.
Using scenario-based simulation, organisations can configure alternative strategy packages — such as Scenario A versus Scenario B — and model their projected first-order and second-order commercial impacts before deployment.
This enables both intended outcomes and unintended consequences to be assessed, including changes in retention, spend, engagement, value migration and commercial leakage across different customer groups.
Scenarios are configured in the system with customer strategies, investment and targeting selected. Scenarios are then run and first-order and second-order impacts calculated.
Scenarios can then can be compared and explored based on their impacts on headroom pots and customer audiences.
The Quantum Customer Twin allows you to configure different packages of customer strategies into Scenarios. It allows you to assign weightings and targeting audiences for individual components of a Scenario.
Most importantly, it allows you to compare the impact of different Scenarios in terms of their first-order and second-order effects.
In this way, it surfaces unforeseen effects and impactful counterintuitive strategies.
Would you like to see a demonstration of Quantum Customer Twin™ in action?
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