Transform Marketing, Media & Entertainment with Causal AI

The Causal AI approach:

Causal AI identifies the causal drivers of campaign performance and accurately measures their effectiveness. It ensures proper customer attribution to channels while accounting for confounders and determines the next best actions to enhance performance. The approach also assesses the incremental impact of increasing channel allocations and recommends the optimal investment distribution based on budget constraints.

Why this matters:

Other example questions:

• What are the causal drivers of campaign performance? How well did it actually perform?
• How do I attribute customers to the right channels while accounting for confounders in the data?
• What are the next best actions (interventions) to improve campaign performance?
• What is the incremental impact of increasing allocation on a given channel?
• Based on my budget, what is the optimal allocation of investment across channels (e.g.: media, shopper marketing, digital, and mail)?

The Causal AI approach:

Causal AI identifies the root causes of consumer sentiment towards your brand across various demographics and geographies. It distinguishes between causation and correlation, enabling precise interventions to enhance brand performance. By analyzing consumer feedback and market data, Causal AI provides actionable insights for targeted improvements.

Why this matters:

Other example questions:

• What are the root causes of consumer sentiment towards my brand across demographics & geographies?
• What are the optimal actions (interventions) to improve brand performance?

The Causal AI approach:

Causal AI identifies the optimal price levels for gated content in line with your strategy. It pinpoints the best actions to reduce churn at both individual and cohort levels and determines the most effective engagement strategies that balance short-term metrics with long-term revenue and brand performance. By distinguishing between causation and correlation, Causal AI provides precise, data-driven insights for actionable interventions.

Why this matters:

Other example questions:

• What is the optimal price level for gated content given my strategy?
• What are the best actions (interventions) to reduce churn at an individual or cohort level?
• What is the best engagement strategy with users that balance short term metrics with long-term revenue & brand performance (e.g estimating the effect of “clickbait-type” content to long-term revenue)