Our proprietary Dynamic Probabilistic Model Synthesis (DPMS) technology continuously learns how marketing and non-marketing factors drive revenue, automatically capturing the effects of channel dynamics, saturation, sequencing, halo/cannibalisation, pricing, competitor activity, weather, macro-economics, seasonality and more, whilst avoiding traditional issues with co-linearity, overfitting and confounding inputs.
Provides a ‘What-If’ Tool for Budget Allocation by Channel & Timing.
Drills down from budget allocation by channel to tactical campaign-level planning and simulation — evaluating specific offers, messages, sequencing, delivery methods and targeting criteria across ATL and 1:1 channels. NBA strategies can be modelled and refined before a single pound is spent.
Automated Campaign Planning & Targeting at Scale
Automates the search for the optimal marketing strategy, ‘fast-forwarding’ to the optimum budget allocation by channel, time, campaign selection, design, scheduling and targeting — producing ready-to-execute marketing plans in a fraction of the time conventional planning approaches require. Manual control is always retained - final adjustments can be made to the optimal plan and their effects predicted before the plan is executed via your existing MarTech stack
Optimal Marketing Strategy for Maximum Returns - Automatically