Time to First Insight: Stop waiting weeks for complex attribution reports. With Causality Engine, you can go from connecting your data to receiving your first actionable insights—your Refinement Queue—in under 48 hours.
Read the full article below for detailed insights and actionable strategies.
From Data to Decision in 48 Hours
The value of data lies in its ability to drive better, faster decisions. In performance marketing, speed is a competitive advantage. Waiting weeks for a complex attribution model to be built or for an agency to deliver a report is no longer acceptable. That's why we engineered Causality Engine for speed.
For 95% of our customers, the timeline from signing up to receiving their first actionable insights is less than 48 hours. Here is the process:
The 48-Hour Insight Timeline
Hour 0: Sign-up & Connect Data (15 Minutes)
You sign up for either the €99 one-time analysis or the €299/month subscription. The onboarding process is self-serve. You will be prompted to connect your Shopify store and your primary ad accounts (Google, Facebook, TikTok, etc.) via secure, read-only API access. This typically takes less than 15 minutes.
Hour 1-24: Data Ingestion & Model Training
Our system begins ingesting your historical data. We pull anonymized transaction data, ad spend, and impression data. Simultaneously, our Bayesian inference models begin to train on your specific dataset, learning the unique patterns and relationships within your marketing ecosystem.
Hour 24-47: Causal Analysis & Visualization
Once the models are trained, we run the causal analysis. This is where we calculate the incremental lift of each channel, identify cannibalization, and build your Causality Chain Visualization. We map the complex journeys your customers take from first touch to final purchase.
Hour 48: Your First Refinement Queue is Ready
You receive an email notification. You can now log in to your Causality Engine dashboard and see your first set of results. Most importantly, your Refinement Queue is populated. This is a clear, prioritized list of budget shifts and actions you can take immediately to improve your marketing efficiency and iROAS.
The Cost of Waiting
Every day you operate without this insight, you are likely wasting money. As our data shows, the average brand is burning €25,000 per month on zero-impact ad spend. That’s over €800 per day. The cost of waiting even one week to get started could be as much as €5,600 in wasted capital.
The question isn't whether you can afford to spend 48 hours getting a causal view of your data. The question is whether you can afford not to.
Our process is designed to eliminate friction and deliver value as quickly as possible. This is a core part of our philosophy on marketing attribution—it should be accessible, fast, and actionable.
Ready to get started? Choose your plan.
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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.
Attribution Model
An Attribution Model defines how credit for conversions is assigned to marketing touchpoints. It dictates how marketing channels receive credit for sales.
Bayesian Inference
Bayesian Inference updates the probability of a hypothesis based on new evidence. It refines marketing attribution by incorporating prior beliefs about channel effectiveness.
Causal Analysis
Causal Analysis identifies true cause-and-effect relationships in data, moving beyond correlation to show how marketing actions directly impact outcomes.
Causality
Causality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
Impression
An Impression counts each time an ad or content displays on a user's screen. It measures exposure, not engagement.
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.
Performance Marketing
Performance Marketing is a digital marketing type where advertisers pay only for specific actions like clicks, leads, or sales.
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Frequently Asked Questions
What if I have a very large amount of historical data?
Our infrastructure is built to handle large datasets. For brands with several years of history and high transaction volume, the initial data ingestion and model training might extend slightly beyond 48 hours, but this is rare. We will communicate with you if we expect any delays.
Do I need a developer or data scientist to get set up?
No. The entire setup process is designed to be completed by a marketer or founder. It is a code-free, self-serve onboarding flow. You just need login access to your Shopify and ad accounts.
What if I don't understand the results?
Our dashboards are designed for clarity, but we also provide comprehensive documentation and customer support. Subscription customers also have access to our LLM chat interface, where you can ask questions about your data in natural language and get immediate, data-backed answers.
