How To Use The Llm Chat Interface: Use Causality Engine’s LLM chat interface to ask complex attribution questions and get actionable insights in natural language.
Read the full article below for detailed insights and actionable strategies.
What is the LLM Chat Interface?
Our large language model (LLM) chat interface lets you query your marketing data conversationally. It translates natural language questions into causal inference queries, delivering clear, data-driven answers.
Step 1: Access the Chat Interface
Log in to your Causality Engine dashboard and open the LLM chat tab.
Step 2: Ask Your Question
Type questions such as:
"Which channel drove the most incremental sales last month?"
"Did increasing Facebook spend impact Instagram conversions?"
"Show me the cannibalization rate for branded search ads."
Step 3: Review Responses
The LLM provides detailed, transparent answers with relevant metrics, attributions, and causality explanations.
Step 4: Request Visualizations
You can ask the LLM to generate Causality Chain Visualizations or Refinement Queue summaries to better understand data.
Step 5: Refine Queries
Use follow-up questions to drill down or compare scenarios, e.g., "Compare ROAS before and after campaign X."
Benefits
No SQL or complex query knowledge required
Faster decision making
Access to advanced Bayesian causal inference insights
For examples, see our Resources.
For technical details, refer to Marketing Attribution on Wikidata.
Related Resources
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Key Terms in This Article
Attribution
Attribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
Causal Inference
Causal Inference determines the independent, actual effect of a phenomenon within a system, identifying true cause-and-effect relationships.
Causality
Causality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
Channel
A Channel is a medium for delivering marketing messages to potential customers.
Conversion
Conversion is a specific, desired action a user takes in response to a marketing message, such as a purchase or a sign-up.
Dashboard
A dashboard is a visual display of key information required to achieve specific objectives. It consolidates data onto a single screen for quick review.
Marketing Attribution
Marketing attribution assigns credit to marketing touchpoints that contribute to a conversion or sale. Causal inference enhances attribution models by identifying true cause-effect relationships.
Metrics
Metrics are quantifiable measures that track and assess business process status. They evaluate campaign performance and inform attribution analysis.
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Frequently Asked Questions
Do I need technical skills to use the LLM chat?
No, the interface is designed for marketers and analysts of all levels to ask natural language questions.
Can the LLM generate visual reports?
Yes, it can provide causality chain visualizations and summary tables on demand.
Is the chat interface available on all subscription plans?
The LLM chat interface is included in the €299/month subscription with lifetime data access.
How does the LLM handle data privacy?
All queries are processed within your secured environment; no data leaves your ecosystem.
Can I export chat responses?
Yes, you can copy or download insights for sharing with your team.
