
White paper
Revenue leaders can now identify the causal drivers behind their pricing and promotional strategies, leading to better decisions, increased revenue and sales volumes, and greater market share.
Marketing attribution models traditionally used are no longer capable of representing today’s complex and noisy world. Enter Causal AI and causaLens DecisionOS app, enabling experiments at scale and precision recommendations based on the true causal influence of current marketing mix.
Obtain a full picture of business drivers which will not only improve the speed and impact of pricing and promotion decisions but also increase overall understanding of other business drivers for the business
Learn from the past going beyond a basic review. Counterfactual analysis enables organizations to perform what-if scenarios to inform better decision-making going forward based on what they should have done in the past.
Decrease the amount of resources, time, and investment to analyze the past and plan the future through dynamic scenario building as well as perform counterfactual analysis.
Plan and deliver insights through a common platform that can be leveraged to make pricing and promotional decisions, creating a collaboration for partnerships as well as align expectations.
Identify hidden drivers of growth; what channels and messages that are the most effective in bringing incremental increases to KPIs.
Understand what data is material to the analysis, automatically. Given there is typically a lot of data, organizations struggle with what data is meaningful to the business question or KPI, a capability that will save a material amount of time and resources.
Understand the impact of pricing and promotional strategies before implementing them
Read more on how Causal AI can help drive efficient pricing and promotional strategies.
Customer Churn Prediction to Improve Retention
Understand the causes of retention with causaLens.