Attribution Model Comparator

Attribution Model Comparator MCP Connector for Claude

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Compare 5 attribution models (First Touch, Last Touch, Linear, etc.) to quantify revenue delta across all marketing channels.

4 tools Official Updated Jun 28, 2026 Official Vinkius Partner

The Challenge of Credit Allocation: When a customer completes a purchase, how do you accurately assign credit for that revenue? Did the initial social media ad (First Touch) or the final email reminder (Last Touch) drive the sale? Traditional models often fail to capture the true value contribution across an entire customer journey. The simple answer is: it's complicated.

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4 tools expose this connector's capabilities to your AI agent.

calculate_attribution_shares

Returns individual channel shares with percentage weights. Calculate proportional revenue share credit for each touchpoint using a specific attribution model

fetch_conversion_metrics

Reconciles multiple sales records linked by conversionId. Retrieve the total revenue value and currency for a specific conversion event

calculate_attribution_delta

Use this to identify which models over- or under-credit specific channels. Compare attribution share results across multiple models to determine revenue discrepancy for a target channel

get_customer_journey

Use this to establish input data for attribution model calculations. Retrieve the chronologically ordered touchpoint sequence for a customer leading up to a conversion event

See how to talk to your AI agent using Attribution Model Comparator.

I need to compare how First Touch and Last Touch allocate revenue for customer CUST-123 on 2024-05-15. Start by getting the journey data.

First, I will call `get_customer_journey` to establish the touchpoint sequence. Then, using that sequence and the total revenue from `fetch_conversion_metrics`, I will run `calculate_attribution_shares` for both models. Finally, I'll use `calculate_attribution_delta` to quantify the difference.

Analyze the attribution shares for a high-value conversion ID CONV-900. Use all five models and target 'Google Paid Search' to see its delta.

I will use `fetch_conversion_metrics` first. Then, I will call `calculate_attribution_shares` five times (once for each model type) using the journey data and total revenue. With all results compiled, I will pass them to `calculate_attribution_delta`, specifying 'Google Paid Search' as the target channel.

I have the journey data and total revenue. Please calculate the attribution shares for all five models for this customer, focusing on understanding the relative contribution of Email Newsletter.

I will call `calculate_attribution_shares` multiple times using the full list of models: 'First Touch', 'Last Touch', 'Linear', 'Time Decay', and 'Position-Based'. This provides a complete picture before running any delta comparison.

You must first use the `get_customer_journey` tool, providing a customer ID and conversion date. This establishes the ordered sequence of touchpoints needed for all subsequent calculations.

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