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Conditional Repricing of FBA Advanced Conditions

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  • Updated

Automatically switches repricing strategies based on FBA related conditions, this rule is exclusively for advanced FBA sellers.

Step 1

Hover your mouse over Repricing Rules > Add New Rule > Conditional Repricing > FBA Advanced Conditions.

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Step 2

Following are 18 conditions which can be set as Main conditions or sub-conditions.

  • Inventory age: Shows the age of your in-stock units.  Inventory age units = available + reserved - pending removal units.
  • Sell-through rate: The number of units sold and delivered over the past 90 days divided by the average number of sellable units in fulfillment centers during that time
  • Days of supply: The estimated number of days that your current inventory supply will last based on the projected demand for your product.
  • Units sold: The number of units sold in the last xx days.
  • Units sold %: The percentage change of units sold in the last xx days.
  • Sales: The amount of sales in the last xx days.
  • Sales %: The percentage change of sales in the last xx days.
  • Available quantity: The number of sellable units that you have in stock to fulfill orders. Available units don't include units that are pending removal.
  • Buy box wins: The listing's buy box winning percentage in the last 24 hours.
  • Listing at min price: The listing that remained at min price for the last xx days.
  • Listing at max price: The listing that remained at max price for the last xx days.
  • Listing at lowest price: The listing that remained at lowest price for the last xx days.
  • Listing did not win buy box: The listing that haven't won buy box for the last xx days.
  • Inbound quantity: The number of incoming units. Inbound quantity = working units + shipped units + receiving units.
  • Storage type: Standard-size, Oversize, Aerosol, Apparel, Flammable, Footwear and Extra-large.
  • Estimated excess: Estimated excess are units for which Amazon forecast that it will cost you more to keep in stock and pay storage costs than to reduce by repricing or liquidating.
  • Estimated long term storage fee: Estimated long term storage fee is charged monthly when your inventory has been in a fulfillment center for more than 365 days in addition to the monthly inventory storage fee. Long-term storage fees are assessed using an inventory snapshot on the 15th of each month.
  • Estimated long term storage units: Estimated long term storage units is estimated number of units that will be subject to long-term storage fees on your next charge date, assuming no further sales.

☛ Note:

  1. A maximum of 2 sub-conditions can be added to each main condition.

  2. Repricing will only be triggered when both the main condition and the sub-conditions have been met. 

  3. If a scenario only matches either the main condition or the sub-condition, BQool will automatically check the next tier of conditions until it finds both the main and sub-condition are matching with the scenario. 

  4. The applied order of Conditional Repricing begins from the top to the bottom. mceclip1.png

Step 3

After setting up the conditions, you can set different repricing strategies.

  • Rule: The specified rules will be applied for repricing.
  • Rule + Min Price: Set a new Min Price based on Lowest Price / ROI / Est. Profit or Est. Profit Margin, the new Min Price and the specified rules will be applied to adjust your price whenever the condition has been triggered. .
  • Your Price:
    • Do Not Reprice - No repricing
    • Buy Box Price- Set Your New Price based on Buy Box Price +/- value
    • Your Price - Set Your New Price based on Current Your Price +/- value
    • Lowest Price - Set Your New Price based on the Lowest Price +/- value
    • Min Price - Set Your New Price based on Min Price +/- value
    • Max Price - Set Your New Price based on Max Price +/- value
    • Fixed Price – Fixed a specified price for Your Price 

☛ Note: To reset Min Price based on ROI / Est. Profit / Est. Profit Margin, the cost has to be added to the  listings.

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Step 4

After finishing setting up the conditions and repricing rule settings, go to “Rule Overview”, and click “Save and Finish”.

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Step 5

Assign your newly-added conditional rules to the listings you would like to start repricing.

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Examples (reference only)

If you would like to customize your price strategy based on the Buy Box Win %, BQool conditional repricer allows you to set specific rules that are triggered at different Buy Box Win % thresholds (the percentage of getting the Buy Box in the last 24 hours).

If the Buy Box Win % is above 80% in the past 24 hours, it may be advantageous to use the profit-based AI Profit Maximizer and increase the Min Price at the same time.

Take the image below for example, if the previous Est. Profit of Min was $8, adjusting the Est. Profit to $15 can result in an increase in the Min Price from $48.22 to $56.46. This strategic adjustment aims to optimize profits.

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If the Buy Box Win % in the past 24 hours is between 60% and 80%, which is still within the acceptable range, it's suggested to change the rule from AI Profit Maximizer to AI Equalizer, and to make a slight reduction in the Min Price.

Take the image below for example, if the previous Est. Profit of Min was $15, reducing the Est. Profit to $10 result in an decrease in the Min Price from $56.46 to $50.58. This strategic adjustment aims to enhance Buy Box Win % by reducing Min Price and profit.

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If the Buy Box Win % is below 59% in the past 24 hours, it's suggested to change the rule from AI Equalizer to sales-based AI Sales Maximizer, and to make a slight reduction in the Min Price.

Take the image below for example, if the previous Est. Profit of Min was $10, reducing the Est. Profit to $5 result in an decrease in the Min Price from $50.58 to $44.69. This strategic adjustment aims to enhance Buy Box Win % by reducing Min Price and profit.

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It may be unable to increase the Buy Box Win % even if you lower the Min Price when the Buy Box Win % is below 30% in the past 24 hours. In such instances, considering both cost and profit, it's suggested to compete with the Lowest Price. This approach ensures that your price remains at the lowest t to enhance competitiveness.

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☛ Looking for more case studies? Please visit Tutorial Video- Real-life Scenarios of Conditional Repricing for more information!

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