What We Do:
Impact modelling of customer lifetime value.
See what happens to financial ROI if you dial up or down different investments.
What It Involves:
Determine your priorities based on customer importance, cost of improvement and financial return.
Optimise your activities.
Set financially accountable KPIs.
In an app:
Challenges This Solves:
Translates investments in customer initiatives into the language of the CFO ie financial return on investment.
What We Do:
Neural network analysis is a best practice approach to mining complex data – including survey data, public and internal client databases – extracting powerful if then decision rules.
It can be applied to many useful business and marketing applications – segmentation, customer journeys, customer churn modelling – delivering a whole of customer view.
What It Involves:
We construct a series of simple if then statements, which forecast what consumers will do after event triggers and sequences of events.
For example:
If in the last four months, there were: three unsatisfactory phone enquiries and one larger than expected bill, then the customer will actively seek quotes from alternative providers.
Challenges This Solves:
More systematic and efficient than other regression or chaid reliant modelling options.
Moves away from a siloed view of the customer to a more holistic understanding.
Deals effectively with data sets that involve a lot of missing data.
