# Pricing

URL: https://docs.sparklayer.io/help/pulse/pricing

Compare how each customer group performs in Pulse: orders, spend, reorder rate and spend per account, plus accounts that might belong in a better group.

> **Pulse is in early access.** Request it for your sales team. [Request early access](https://feedback.sparklayer.io/get-started?choice=now). [Try the interactive demo](https://www.sparklayer.io/pulse/).

> **Quick summary**
>
> - **Pricing** in Pulse compares your customer groups: how many accounts each has, what they order, how often they come back and what each account spends.
> - **Worth a better group** lists established accounts whose average order is bigger than their group suggests.
> - It's read-only. Customer groups and their price lists are managed at **Customers > Groups** in the SparkLayer Dashboard ([open](https://app.sparklayer.io/customers/groups)), or **SparkLayer Wholesale > Customers > Customer groups** in the Shopify app, not in Pulse.

Every account is in one [customer group](https://docs.sparklayer.io/help/customers/customer-groups.md), which decides the price lists it orders from. **Pricing** shows how each group performs, using what accounts actually paid, so you can see which groups are worth growing and which accounts have outgrown theirs.

New to Pulse? Start with [Pulse](https://docs.sparklayer.io/help/pulse.md) for how to open it and how the date range works.

## The Pricing screen

| Part | What it shows / does |
| --- | --- |
| **Customer groups** tile | How many customer groups there are, how many of them have ordered in the date range, and the biggest group's share of GMV (with more than 3 groups, the top 3's share). |
| **Biggest group** tile | The group with the most GMV in the date range, and its GMV. |
| **Best spend per account** tile | The highest spend per active account of any group, and which group it is. |
| **Worth a better group** tile | How many established accounts are outsizing their group. |
| **How each customer group performs** table | One row per group, the most GMV first: **Group**, **Price lists**, **Accounts**, **Orders**, **GMV**, **AOV**, **Reorder %** and **Spend / account**. A group with no orders in the date range shows **—** for the figures that need them. Click an account to open it. |
| **Worth a better group** list | Each account that might belong in a better group, the biggest average order first: **Account**, **Group**, **Orders**, **AOV**, and **Why**, which names the group it compares with. When there are none, it says **Nobody is out of place — every established account orders in line with its group.** |
| **Download CSV** | On each table. Saves the rows shown. The **Worth a better group** file adds the group each account compares with and that group's lowest average order. |

The note under the table explains why Pulse shows no discount percentages. A group can carry a percentage off, a manual price list or several layered together, with overrides for single accounts on top. So Pulse measures what each account actually paid.

## Compare your customer groups

1. In Pulse, click **Pricing** in the sidebar.
2. Set the date range for the period you want to compare.
3. In **How each customer group performs**, compare **Reorder %** and **Spend / account** across the groups.

**More detail**

A group with a high **Spend / account** but a low **Reorder %** relies on a few big orders; a high **Reorder %** means its accounts keep coming back. To see the price lists behind a group, or to change them, go to **Customers > Groups** in the SparkLayer Dashboard ([open](https://app.sparklayer.io/customers/groups)), or **SparkLayer Wholesale > Customers > Customer groups** in the Shopify app, or ask whoever manages pricing.

## Find accounts that might belong in a better group

1. Look at the **Worth a better group** list at the bottom of the page.
2. Read **Why** for each account: it names the next group up and the average order the account beats, for example **Beats the smallest Gold account's average ($420)**.
3. Click the account to open it and check its history before you suggest a change.

To move an account to another group, see [Add a customer to a group](https://docs.sparklayer.io/help/customers/add-customers-to-a-group.md#assign-customers-to-a-customer-group). On Shopify, if the account is a company, change the company's **Customer group** at **Companies** in the SparkLayer Dashboard ([open](https://app.sparklayer.io/customers/companies)), or **SparkLayer Wholesale > Companies** in the Shopify app instead: see [Companies](https://docs.sparklayer.io/help/customers/companies.md). 

## How the figures are worked out

The group table follows the date range. The account counts don't, and nor do the order counts and averages in **Worth a better group**, which cover each account's whole history.

| Figure | How it's worked out |
| --- | --- |
| **Accounts** | Every account in the group. |
| **Orders** and **GMV** | Orders placed by the group's accounts in the date range, and their total value. |
| **AOV** | Average order value: GMV divided by orders. |
| **Reorder %** | Of the group's accounts that ordered in the date range, the share that ordered at least twice in it. |
| **Spend / account** | GMV divided by the number of the group's accounts that ordered in the date range. |
| **Worth a better group** | An account with at least 3 orders whose average order is bigger than the smallest average order among established accounts (3 or more orders) in any group with a higher **Spend / account** than its own. It's worked out from what accounts paid, not from price lists. |

Pricing only counts orders placed through your storefront. See [Where the figures come from](https://docs.sparklayer.io/help/pulse.md#where-the-figures-come-from).

## FAQs

**Why doesn't Pricing show each group's discount?**

A group's prices can come from a percentage off, a manual price list or several layered together, with overrides for single accounts. So Pulse shows what accounts actually paid instead of a configured discount.

**Why is an account in Worth a better group when it hardly ordered this period?**

The list uses each account's lifetime orders and average order, so an account that has ordered at least 3 times can appear even if it was quiet in the date range. Only the comparison between groups, by **Spend / account**, follows the date range.

**Why does a group show — for Reorder % and Spend / account?**

None of its accounts ordered in the date range. Widen the date range to compare it with the other groups.