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This article highlights and explains how to set up conditionals and combine features to build powerful, precise rules. 

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The antecedent is the first, or “if,” part of a conditional statement. The consequent is the second, or “then,” part of a conditional statement. The consequent is the result of the antecedent. Keep in mind that conditional statements might not always be written in the “if-then” form. Conditional statements may be nested such that either or both of the antecedent or the consequent may themselves be conditional or logical statements.


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Examples of conditionals you can use in Hawksearch would be the following:  

  • If an item is on sale, then boost it relative to the top of search results. 
  • If an item is discontinued or out of stock, then hide it. 
  • If an item is cheaper than other items in the search results, then bury it to the bottom of the results. 
  • If an item is a very popular item in the department, then pin it to the top of the search results for the department name.  

By using well-formed conditionals in Hawksearch to trigger actions, you can precisely enable actions like boost/bury, visibility rules, landing pages, item pinning, etc. 

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Conditional statements are found in Hawksearch to program and select pools of items or content based on certain conditions. The image above highlights the basic features of a conditional trigger. 

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Field Selection

You may select any field that is set toXXXXX.variable from the drop down box to be the field used to trigger an action. 

Operators

Conditional statements in Hawksearch utilize several operators to logically evaluate statements. All operators are not applicable to each field, depending on if the operator is derived from data or from user inputs.   

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Not all fields are capable of using all operators! Strings XXXXXXXXX CHECKSome fields are set as text strings, some as numbers, etc. The settings of a field determine what operators can be used. Also, if you're using a field condition that is explicitly in the data, your entry must be a perfect fit. For example, department name, color, or any other field.  

For numerical fields, the operators perform mathematical comparisons. 

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