White paper
Marketings teams are innovating with Causal AI
Marketing teams need to find ways to drive KPIs by being precise in allocating the dollars they have.
Do more with less; generate precision recommendations that are based on the true causal drivers of revenue across a complex marketing mix. Industry-leading marketing teams are leveraging Causal AI to make better decisions.
A more accurate attribution model for today's world
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.
Do these questions sound familiar?
- What ads are truly driving ROAS?
- How should I allocate my marketing budget when customer behavior and preferences are radically shifting?
- How can I achieve greater marketing impact with a reduced budget?
- What are the causes of churn?
- Why do customers leave items in their baskets?
- How can I predict retention?
- How can we understand our customers with less data?
- How can we maintain a standard of personalization in a privacy-first world?
- What can I do with less granular data?
They are causal questions and with the help of Causal AI marketers can...
- action against the precision measurement of complex marketing mixes
- focus budget on those customers most likely to stay
- do more with less
- ask ‘what-if’ questions about the past
Empowering innovation across the organization
Media Planner
Make confident, on-the-fly, decisions on spend with precise recommendations based on an always-on causal attribution model.
Growth Lead
Understand the complete picture of channel attribution and build what-if scenarios that enable experimentation in an always-on environment.
Product Marketing
Get a deeper understanding of what drives customer behavior to create messaging that not only resonates with customers but promotes the most impactful actions.
VP of Marketing
Make high-level budget decisions with the confidence that the causal attribution model is accurate and represents the true contribution of each channel in your marketing mix.
Marketing Analytics
Identify hidden drivers of growth; what channels and messages that are the most effective in bringing incremental increases to KPIs.
Data science lead
Close the data trust gap with fully explainable causal attribution models and empower your marketing team to ask what-if questions without the need for a data scientist. Leaving them to focus on more complex challenges.
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