---
schema_version: "1"
id: 5c9284f5437c2d8021f40bd445ab4183d7396cf6f6d3ca5db16389731cb3d8a0
title: Understanding How KPIs are Calculated based on Week Day Share Profile
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/ind/264-0-0/concept_distribution_volume_data_week_day_share_profile.md
canonical_url: https://help.salesforce.com/s/articleView?id=ind.concept_distribution_volume_data_week_day_share_profile.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 5935dc5e4eedd9ffa38104fed84e6c1ab1ebcb79212d01e085921cadac368763
description: A week day share profile splits a KPI value across the days in a calculation period, using a distribution pattern linked to a customer, category, or sales org.
products:
  - Consumer Goods
release: "264"
---
# Understanding How KPIs are Calculated based on Week Day Share Profile

A week day share profile splits a KPI value across the days in a calculation period, using a distribution pattern linked to a customer, category, or sales org.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition">
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            <p>Available in: Lightning Experience</p>
            <p style="margin-bottom:0;">Available in: <strong>Enterprise</strong> and <strong>Unlimited</strong> Editions where Consumer Goods
              Cloud is enabled</p>
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The calculation period is divided into sub periods. The read KPIs values must be distributed between these sub periods to aid in further calculations.

KPIs values are distributed using week day share profile.

If each day of the week gets a share of 1, each sub week would get an equal share of the KPI value. It’s also possible to configure a different share for each day of the week.

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-consumer_goods_trade_promo-264-0-0-production-enus/169b0c8b-175d-4639-bf96-610b16824687/images/icon_note.png)

Note Week day share profile is also applicable for custom calendars, but the system considers corresponding custom periods instead of weeks.

Here a week (Week 42) with three sub weeks. Here’s how the source data is split.

![Sample data](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-consumer_goods_trade_promo-264-0-0-production-enus/169b0c8b-175d-4639-bf96-610b16824687/consumer_goods_trade_promo/images/distribution_volume_data1.png)

The week day share profile is also used for distribution of monthly data. But since the profile is set up for week days, the percentage values can’t be used directly. Here’s how weekly profile can be applied to monthly data.

![Sample data](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-consumer_goods_trade_promo-264-0-0-production-enus/169b0c8b-175d-4639-bf96-610b16824687/consumer_goods_trade_promo/images/distribution_volume_data2.png)

Depending on the Enable Customer Category Profile setting of the sales org, the system uses either category-dependent or category-independent week day share profiles in calculation.

Category-independent week day share profiles are linked to a customer or sales org. First, the system uses the profile linked to a customer, for distribution of Read KPIs. If a customer-specific profile isn’t defined, the system uses the profile linked to a sales org. If profile isn’t defined at sales org, then an equal split over all week days is considered.

Category-dependent week day share profiles, the system uses the profile that is linked to the relevant customer and category. If a profile isn’t available, the system uses a profile that’s linked to the customer for all categories. If a customer-linked profile isn’t available, the system looks for the profile that’s linked to the sales org. If there aren’t any profiles linked to the sales org, the system uses an equal split over all the week days.

![Customer Category Weekday Share Profile](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-consumer_goods_trade_promo-264-0-0-production-enus/169b0c8b-175d-4639-bf96-610b16824687/images/icon_example.png)

Customer Category Weekday Share Profile

Prerequisite: Customer Category Profile must be enabled for the sales org. Here are details of a promotion, which shows the distribution pattern for the week.

![Promotion Detail page for a promotion at Kroger Atlanta, showing CC\_ReadKPI values of 100 for each product category](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-consumer_goods_trade_promo-264-0-0-production-enus/169b0c8b-175d-4639-bf96-610b16824687/consumer_goods_trade_promo/images/distribution_volume_data_weekly_pattern.png)

Here’s a customer category week day distribution profile.

![Sample customer category weekday distribution profile](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-consumer_goods_trade_promo-264-0-0-production-enus/169b0c8b-175d-4639-bf96-610b16824687/consumer_goods_trade_promo/images/distribution_volume_data_week_day_profile.png)

If the promotion period is reduced to just 3 days (Monday, Tuesday, and Wednesday), here’s how then the values for the products based on the distribution change.

![Product values for 3-day promotion period](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-consumer_goods_trade_promo-264-0-0-production-enus/169b0c8b-175d-4639-bf96-610b16824687/consumer_goods_trade_promo/images/distribution_volume_data_weekly_pattern2.png)

The categories for which the value change affected are:

- Frozen: 20% (Monday) + 20% (Tuesday) + 20% (Wednesday) = 60.00
- Beverages: 0.00% (Monday) + 0.00% (Tuesday) + 0.00% (Wednesday) = 0.00
- Chips: This category isn’t defined in the customer category week day distribution profile.
    
    If there’s a record with an empty category, then this record's distribution is considered. If there aren’t such records, the week day distribution profile in the sales org is considered. If the week day distribution profile is empty, then the default equal week day split is considered. So, it’s 0.00% (Monday) + 25.00% (Tuesday) + 25.00% (Wednesday) = 50.00.
- Snacks: Follows a similar pattern as Chips. So, it’s 0.00% (Monday) + 25.00% (Tuesday) + 25.00% (Wednesday) = 50.00.