> For the complete documentation index, see [llms.txt](https://learn.moselle.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learn.moselle.io/planning-and-execution/forecasting/phase-1-understand-forecasting/sell-in-vs-sell-through.md).

# Sell-In vs. Sell-Through

{% hint style="info" %}
**Quick Answer:** Sell-In records when your brand ships product to a retailer. Sell-Through records when the retailer sells that product to a consumer. **Sell-Through data is submitted by emailing your weekly report to your unique Moselle data address (\[your-company].mail.moselle.io).** Sell-In data is managed through the Data Room.
{% endhint %}

## What Is the Difference?

When brands sell through retail partners, there are two distinct points at which a "sale" is recorded:

**Sell-In** : When the brand ships product to the retailer. This reflects purchase orders (POs) placed by the retailer and is owned by the brand.

**Sell-Through** : When the retailer sells that product to the end consumer. This reflects actual point-of-sale (POS) transactions and is owned by the retailer (e.g., Sephora, Ulta Beauty).

These two numbers are often very different. Sell-Through is the ground truth of consumer demand — it reflects what shoppers are actually buying, week over week, at each store. Forecasting from Sell-Through leads to more accurate replenishment recommendations and earlier visibility into slow-moving SKUs.

|                   | Sell-In                            | Sell-Through                           |
| ----------------- | ---------------------------------- | -------------------------------------- |
| **Measures**      | Brand shipments to retailer        | Consumer purchases at retail           |
| **Data Owner**    | Brand                              | Retailer                               |
| **Timing**        | Can precede actual demand by weeks | Reflects real-time consumer demand     |
| **Common Source** | ERP, order management system       | Sephora Brand Portal, Ulta Partner Hub |
| **Best Used For** | Supply and production planning     | Demand forecasting and replenishment   |

***

## Updating Sell-In Data

Sell-In data is updated through the **Data Room**.

{% content-ref url="/pages/LbJu5JdXTAddmFeLGbt2" %}
[How do I Upload Sales Data to Moselle?](/getting-started/onboarding/manual-data-uploads/how-to-upload-sales-data.md)
{% endcontent-ref %}

***

## How to Submit Sell-Through Data

Sell-Through data is submitted by emailing your weekly retailer POS report directly to Moselle. Once processed, Mo can answer questions about your sell-through performance.

**Time Required:** 2 minutes per submission **Processing Time:** Up to 1 business day

{% stepper %}
{% step %}

### Download Your Weekly Report

Log into your retailer's vendor portal and download your weekly POS or sell-through report.

* **Sephora** — Available via the Sephora Brand Portal
* **Ulta Beauty** — Available via Ulta Partner Hub
* Other retailers — Download from your assigned vendor portal

Accepted formats: Excel (.xlsx) or CSV
{% endstep %}

{% step %}

### Email the File to Moselle

Send the report as an attachment to your Moselle data email address. This address is unique to your account and follows the format:

**\[your-company].mail.moselle.io**

{% hint style="info" %}
Not sure what your address is? Contact your Customer Success Manager — they can confirm the exact email for your account.
{% endhint %}

{% hint style="warning" %}
**Do not leave the subject line blank.** A clear subject line is required for the system to route and process your file correctly.
{% endhint %}
{% endstep %}

{% step %}

### Use a Clear Subject Line

Your subject line must include:

1. **The retailer name**
2. **What the data represents** (report type, week, region, or other identifier)

**Examples:**

* `Sephora Best Seller Week 30`
* `Ulta USA Weekly Sales`
* `Nordstrom POS Data June`

The more specific your subject line, the faster and more accurately the system can process your file.
{% endstep %}

{% step %}

### Wait for Processing

Moselle will process your file within **1 business day**. You do not need to take any action during this time.
{% endstep %}

{% step %}

### Ask Mo for Your Sell-Through Data

Once your file has been processed, open Mo and ask about your sell-through performance. Mo will have access to the updated data and can answer questions like:

* "What are my top-selling SKUs at Ulta this week?"
* "Show me my sell-through rate at Sephora for the last 4 weeks"
* "Which stores are underperforming on \[product]?"

{% hint style="success" %}
Mo will let you know if it cannot find data — in that case, check that your email was sent with a clear subject line and allow up to 1 business day for processing.
{% endhint %}
{% endstep %}
{% endstepper %}

***

## Frequently Asked Questions

<details>

<summary>What happens if my subject line isn't clear enough?</summary>

The system uses the subject line to identify the retailer and data type. A vague or missing subject line may cause processing delays or errors. If your data doesn't appear within 1 business day, re-send the email with a clearer subject line (e.g., "Ulta USA Weekly Sales Week 32").

</details>

<details>

<summary>How often should I submit Sell-Through data?</summary>

Most retail partners (Sephora, Ulta) provide POS data on a weekly basis. We recommend submitting on a weekly cadence to keep your forecasts current and ensure Mo has the most recent demand signal available.

</details>

<details>

<summary>My retailer uses different SKU codes than my internal system. Will Moselle handle that?</summary>

Yes. Moselle supports SKU mapping between retailer item numbers and your internal SKUs/UPCs. This is configured during onboarding. Reach out to your Customer Success Manager if you need to update or add mappings.

</details>

<details>

<summary>What is a healthy sell-through rate?</summary>

This varies by category, channel, and product lifecycle stage. As a general benchmark, a sell-through rate of 80% or above is considered healthy in most beauty and personal care categories. Your Customer Success Manager can help you interpret your sell-through data in context.

</details>
