> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getinteract.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Journey Attribution

> Inspect per-touchpoint attribution credit at the individual journey level, powered by a pre-computed BigQuery credit table.

The **Journey Attribution** page shows attribution credit at the individual touchpoint level — every step in every customer journey, with Markov and Shapley credit share assigned per touch.

Open it from **Insights → Attribution → Journeys**.

<Note>
  This page requires a **credit table** to be configured in **Insights → Settings → Attribution → Optional Tables**. The credit table is written by a separate pipeline process and contains pre-computed attribution weights per touchpoint. Without it, this page is unavailable.
</Note>

## What it shows

The journey attribution view is a paginated table of touchpoints enriched with attribution credit:

| Column                     | Description                                                            |
| -------------------------- | ---------------------------------------------------------------------- |
| **Journey ID**             | Unique identifier for the customer journey                             |
| **User ID**                | User or customer identifier (if available)                             |
| **Label**                  | Segment label when label splits are configured                         |
| **Journey dates**          | Start and end date of the full journey                                 |
| **Converted**              | Whether the journey resulted in a conversion                           |
| **Journey revenue**        | Total revenue value for this journey                                   |
| **Position**               | Touchpoint position within the journey (1 = first)                     |
| **First / Last touch**     | Whether this touchpoint is the first or last in the journey            |
| **Channel**                | Channel identifier for this touchpoint                                 |
| **Channel group**          | Higher-level grouping of the channel                                   |
| **Source group**           | Source-level grouping                                                  |
| **Campaign**               | Campaign name (if available)                                           |
| **Device**                 | Device category (if available)                                         |
| **Session date**           | Date of this specific session/touchpoint                               |
| **Markov credit share**    | Fraction of conversion credit attributed to this touch (Markov model)  |
| **Shapley credit share**   | Fraction of conversion credit (Shapley model, if enabled)              |
| **Attributed revenue**     | Revenue attributed to this touchpoint (credit share × journey revenue) |
| **Attributed conversions** | Conversion credit for this touchpoint (fractional)                     |

## Filtering

Use the **date range picker** at the top of the page to filter journeys by start date. The label filter (if label splits are configured) lets you scope results to a specific segment.

## Difference from the Channel Attribution dashboard

|                           | Channel Attribution                        | Journey Attribution                      |
| ------------------------- | ------------------------------------------ | ---------------------------------------- |
| **Granularity**           | Aggregated per channel across all journeys | Per-touchpoint, individual journey level |
| **Data source**           | Computed live from paths table             | Pre-computed credit table in BigQuery    |
| **Use case**              | Strategic channel decisions                | Debugging, auditing, per-user analysis   |
| **Requires credit table** | No                                         | Yes                                      |

## Setting up the credit table

The credit table is typically produced by your data pipeline alongside the Markov/Shapley weight computation. Interact reads from it but does not write it.

Configure the table in **Insights → Settings → Attribution → Optional Tables**:

* **Dataset** — BigQuery dataset (default: `src_attribution_models`)
* **Table** — Table name (default: `fact_attribution_credit__user_id`)
* **Channel column** — Which column to use as the channel identifier (e.g. `channel`, `source_group`, `channel_group`)

The credit table should have at minimum:

| Column                 | Type    | Description                               |
| ---------------------- | ------- | ----------------------------------------- |
| `journey_id`           | STRING  | Matches the journey ID in the paths table |
| `user_id`              | STRING  | (Optional) User identifier                |
| `touchpoint_position`  | INTEGER | Position of the touch in the journey      |
| `channel`              | STRING  | Channel identifier                        |
| `markov_credit_share`  | FLOAT   | Markov credit share (0–1)                 |
| `shapley_credit_share` | FLOAT   | (Optional) Shapley credit share           |
| `journey_revenue`      | FLOAT   | Revenue for the full journey              |
| `journey_start_date`   | DATE    | Start date of the journey                 |

<Card title="Optional tables setup" icon="gear" href="/insights/attribution/setup#optional-tables">
  Configure the credit table location and column mapping.
</Card>