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How to use the Price Status filter? 

The “Price Status” filter is used to single out products most relevant to your analysis using the following attributes – Full Price, Discounted, Never Discounted and First Time Discount. It is recommended that this filter be used concurrently with a date range selection to achieve the best results.

Filtering by Full Price or Discounted or Never Discounted or First Time Discount will show you the listed products based on the attributes within the selected time frame. For example, by selecting “Full Price”, any products that were listed as full price any time between Jan 1, 2020 – Mar 31, 2020 will be returned as a result. If the said product went on discount on  Feb 1, 2020, it remains qualified as a result.

How to use the Stock Status filter?

The “Stock Status” filter is used to single out products most relevant to your analysis using the following attributes – New In, In Stock, Out of Stock and Replenished. It is recommended that this filter be used concurrently with a date range selection to achieve the best results.

Filtering by New In or In Stock or Out of Stock or Replenished will show you the listed products based on the attributes within the selected time frame. For example, by selecting “Out of Stock”, any products that are no longer listed on the retailer’s website or labelled as Out-of-Stock by the retailer anytime between Jan 1, 2020 – Mar 31, 2020 will be returned as a result. In the former scenario, the product was marked as Out-of-Stock for 7 days before the dashboard ceased collecting stock status information from the product.

How to filter for slow moving products? 

Under Stock Status, select “New In” and “In Stock” and select “First Time Discount” under Price Status.  This filter combination highlights products that were newly seen and also discounted for the first time within a timeframe. If a timeframe of the last 30 days was selected, this can indicate slow moving stocks or a quick declining demand for these products.

Select “New In” and “Out of Stock” under Stock Status. Selecting these filters highlight products that were newly seen and sold out within a timeframe. If a timeframe of the last 30 days was selected, this can be a sign of increasing demand for these products.

How to filter for products with continuous demand? 

Under Stock Status, select “Out of Stock” and “Replenished” to highlight products that were sold out and subsequently replenished, a sign of sustained demand for the product.

How to filter for products in demand at Full Price? 

Select “Out of Stock” under Stock Status and select “Full Price” under Price Status. This filter combination highlights products that were sold out at full price, a sign of value as consumers were willing to pay at full price.

How to use the Price Range filter?

Price range filter allows the selection of both a minimum and maximum price to narrow down the data sets to a particular price range relevant to your analysis.

How to split the analysis for Brands/Retailers? 

Group By filter helps to show the breakdown by Brand/Retailers when there are a few brands and retailers are selected in the same analysis. For example, when analysing the performance of few brands under the same multilabel retailer, “Group By: Brand” filter helps to split up the brands selected under the retailer.

How to use the Date Range filter? 

By selecting a date range, you can narrow down the data sets to a particular time frame relevant to your analysis. For example, to analyse the market performance for the first quarter of 2020, you will select Jan 1, 2020 – Mar 31, 2020.

How to use the “Compare To” under Date Range filter?

Compare To filter allows the selection of time frame  based on these attributes – Previous Period, Previous Year and Custom date range that is most relevant to your analysis. . 

On the Omnilytics dashboard, you can select a time frame as far back as Aug 1, 2017

How to review the Sell Out Performance at Full Price and Discounted Price at the same time? 

Comparing Total Sell Out at Full Price and Total Sell Out at Discounted Price at the same time are available under Trade Analysis. Click on the “+” button next to the Total Sell Out chart will expand the list of Total Products at Full Price and Discounted price

How are sellout rates calculated?

Sellout rates are calculated by dividing the number of out-of-stock product count over the total product count within a data set. For example, if the total product count for Tops is 100, out of which, 60 is out-of-stock, the sellout rate for Tops will be 60%.

What is the difference between “Sell Out Rate %” and “Sell Out Contribution”

How to review the contribution of products at Full Price and Discounted Price at the same time? 

Comparing Full Price and Discounted products at the same time are available under Trade Analysis. Click on the “+” button next to the Total Products chart will expand the list of Total Products at Full Price and Discounted price

How to save filters? 

You can have an unlimited set of saved filters on the dashboard and you can custom your filter selection accordingly. Here’s a simple step to save filters

1. Select all the filters you wish to view

2. Click Update Filter

3. Go to Bookmarks panel on top of the filters section, select Save Filter

4. Name your saved filter

5. Click “Set as Default” if you wish to see the same filters every time you log in to the dashboard

6. Click Submit to save the filter 

Remember to press “Update Filter” before you can start saving your desired filters and press “Save Filter”. 

How to edit saved filters? 

Go to “Bookmarks” panel on top of the filters section, select “Manage Saved Filters” and you can edit your filters accordingly. 

How to use Keyword filter?

Here’s how you can easily use our Keyword filter:

1) Searching for a phrase on Keyword filter

For example, if you want to filter floral dress, you can type in “Floral Dress” in inverted commas or just Floral and filter the dresses category.

2) Looking for more than 1 keyword – Using AND

If you are looking to narrow your search for a product that has 2 keywords, you can type in the following into the keyword filter: Floral AND Sleeveless. This will narrow down the search to only products with both keywords.

3) Looking for more than 1 keyword – Using OR

If you are searching products with either floral or stripe print, you can type in the following: Floral OR Stripe. This will filter all products with either floral or stripe keywords. Remember to press “Enter” and “Update Filter” to ensure the keyword is included in the filters section.

What is the difference between a retailer and a brand?

Retailer refers to the retail website in which the products are sold. Brand refers to a product line that may be sold on its own or other retail websites such as marketplaces or multi-label retail website.

Below is a table of examples to illustrate the differences between the two.

How are Best-Sellers calculated?  

Best-seller SKU is calculated based on the highest trend score. Trend score is the difference in popularity score, between current category and all categories. Read more to understand on Trend Score 

Select on the “Group by” filter at the right top of the filter section. By selecting Colour, the data will display the breakdowns of trending colours in the selected market based on the highest product counts.

What is the difference between “Sell Out Rate %” and “Sell Out Contribution”

Under Category Contribution, the “Sell Out Rate %” refers to the sell out percentages of all products whereas the “Sell Out Contribution” refers to the contribution of subcategories of products being sold from the category selected.

How to analyse “Sell Out Contribution” under Category Contribution? 

Higher sell-out contribution reflects a positive performance of a subcategory which could signal an opportunity for category expansion. For example, within the Tops category,  the sell-out contribution of T-shirts is at 41%, Shirts at 20% and Blouses at 15% which shows that T-shirts outperforms the other subcategories of Tops.

Select on the “Group by” filter at the right top of the filter section. By selecting Pattern, the data will display the breakdowns of trending patterns in the selected market based on the highest product counts. There are currently 16 patterns available on the dashboard: 

  • Abstract
  • Animal 
  • Aztec
  • Batik 
  • Camo
  • Checks 
  • Conversational 
  • Dots
  • Fair Isle
  • Floral 
  • Geometrical
  • Graphic 
  • Lace
  • Paisley 
  • Stripes 
  • Tropical

Select on the “Group by” filter at the right top of the filter section. By selecting Material, the data will display the breakdowns of trending materials in the selected market based on the highest product counts. 

How to analyse the contribution of pattern by Retailer?

Select 2 or more retailers. Under Pattern & Colour Distribution tab, select “Split by: Retailer”. By doing so, the data reflected will show the composition of patterns contributed by different Retailers on their sales channels  based on the highest product count and the sell-out contribution. Some retailers stocked up more on certain patterns based on different customers’ demographics or seasonality. 

How to analyse the contribution of pattern by Brand?  

Under Pattern & Colour Distribution tab, select “Split by: Brand”. By doing so, the data reflected will show the composition of patterns contributed by different brands under multi-label retailers based on the highest product count and the sell-out contribution. Some brands stocked up more on certain patterns on different retailers based on different customers’ demographics or seasonality. 

How to identify which are the most used pattern in a category?   

Under Pattern & Colour Distribution tab, select “Split by: Category”. By doing so, the data reflected will show the composition of patterns contributed by different categories of retailers based on the highest product count and the sell-out contribution. For example, Tropical pattern is most used in the Swimwear & Beachwear category from Asos. 

How to analyse pattern performance of a retailer?   

Under Pattern Analysis, toggle over the “Sort by Product Count” filter to look at the sequence of patterns based on the highest/lowest product counts. By selecting “Default” the sequence of the patterns will be shown based on the Alphabetical order of the pattern. Click on the “Sell Out Contribution” to see the sell-out performance of the pattern according to the date range selected. 

How to filter for unpopular pattern? 

Under Stock Status, select “New In” and “In Stock” and select “Discounted” under Price Status.  This filter combination highlights patterns that were newly seen and also discounted for the first time within a timeframe. If a timeframe of the last 30 days was selected, this can indicate slow moving stocks or a quick declining demand for these patterns. Select “Highest” under “Sort by Product Count” to look at the most number of patterns available in the selected date range.

Select “New In” and “Out of Stock” under Stock Status. Selecting these filters highlight patterns that were newly seen and sold out within a timeframe. If a timeframe of the last 30 days was selected, this can be a sign of increasing demand for these patterns. Select “Highest” under “Sort by Product Count” to look at the most number of patterns sold out  in the selected date range

How to filter for pattern with continuous demand? 

Under Stock Status, select “Out of Stock” and “Replenished” to highlight patterns that were sold out and subsequently replenished, a sign of sustained demand for the pattern in the market.

What does “Patterned” and “Plain” percentages under Pattern Analysis mean? 

The Patterned vs Plain percentages show a breakdown of patterned products offered by each brands/retailers in the market. This is useful to understand the design focus for the retailers/brands. It can be compared among retailers or brands to identify the similarities and differences in pattern offerings.

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