> For the complete documentation index, see [llms.txt](https://docs.drivepoint.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.drivepoint.io/using-the-web-app/reports/cohort-analysis/n-day-ltv.md).

# N-Day LTV

*This report represents the typical way that investors like to look at LTV to understand if a business is improving, stagnant or declining in terms of its ability to generate more value out of the customers it acquires since inception.*

## Definitions

<table><thead><tr><th>Name</th><th width="124">Type</th><th>Definition</th></tr></thead><tbody><tr><td><strong>Days Since First Purchase</strong></td><td>Dimension</td><td>Calculated as the number calendar days from the date of the first purchase, this dimension defines each series on the chart and each column within the table of this report. <br><br><em>Depending on the <strong>Cohort Months</strong> filter, this report can output Days 0, 30, 45, 60, 90, 180, 360, and 720.</em><br><br><em>Day 0 represents the partial calendar day in which the first purchase occurred.</em> <em>Day 1 and onward represent full calendar days afterwards.</em></td></tr><tr><td><strong>Cohort Months</strong></td><td>Dimension</td><td>A month range filter that can select the window of time in which a customer made their first purchase.</td></tr><tr><td><strong>Cohort Interval</strong></td><td>Dimension</td><td><em>Defaulted to Month.</em> Each option groups first-time customers together into cohorts based on the interval selected.</td></tr><tr><td><strong>Cohort Size</strong></td><td>Metric</td><td>The number of customers acquired within the <strong>Cohort Interval</strong>.</td></tr><tr><td><strong>Cumulative Customer Retention</strong></td><td>Metric</td><td>The number of customers that have made one returning purchase by n-day / <strong>Cohort Size</strong></td></tr><tr><td><strong>Gross LTV</strong></td><td>Metric</td><td>Cumulative Gross Sales / <strong>Cohort Size</strong></td></tr><tr><td><strong>Net Sales LTV</strong></td><td>Metric</td><td><p>Cumulative Net Sales / <strong>Cohort Size</strong><br></p><p><em>Net Sales = Gross Sales - Discounts - Returns</em></p></td></tr><tr><td><strong>Net Revenue LTV</strong></td><td>Metric</td><td><p>Cumulative Net Revenue / <strong>Cohort Size</strong><br></p><p><em>Net Revenue = Net Sales + Shipping + Taxes</em></p></td></tr><tr><td><strong>Contribution Profit LTV</strong></td><td>Metric</td><td>Cumulative Contribution Profit / <strong>Cohort Size</strong></td></tr><tr><td><strong>Blended CAC</strong></td><td>Metric</td><td>Direct Ad Spend / <strong>Cohort Size</strong></td></tr><tr><td><strong>Fully Loaded CAC</strong></td><td>Metric</td><td>Total Marketing Spend / <strong>Cohort Size</strong></td></tr><tr><td><strong>Contribution Profit LTV Less Blended CAC</strong></td><td>Metric</td><td><strong>Contribution Profit LTV</strong> - <strong>Blended CAC</strong></td></tr><tr><td><strong>Contribution Profit LTV Less Fully Loaded CAC</strong></td><td>Metric</td><td><strong>Contribution Profit LTV</strong> - <strong>Fully Loaded CAC</strong></td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.drivepoint.io/using-the-web-app/reports/cohort-analysis/n-day-ltv.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.