Scoring Engine Overview

Overview

In Apollo, you can define Score Rules to automatically rank potential Contacts and Accounts based on the demographics and behaviors that are most important to you. This information defines your Scoring Model.

Before you proceed, you should first identify your Ideal Customer Profile (ICP). With a clear idea of your ICP, you can use the Apollo Analytics tool to refine your data. You can then leverage Score Rules to rank the most important criteria for each ICP.

Apollo uses the Score Rules that you define to filter Contact and Account results so that they remain relevant to your ICP.

You can assign a numerical value to rank your criteria in order of importance. The higher the number you assign to a criterion, the more important Apollo ranks it. You can use the historical data from your Score Rules to inform how you adjust the rules to your liking.

For more information on how to create Score Rules and a Scoring Model, read the Create a Scoring Model article.

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Create Multiple Scoring Models

Your Scoring Model is a complete set of Score Rules that you enable in Apollo. You can create as many Scoring Models as you like.

However, only 1 Scoring Model can be active at a time.

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Sync Your Scoring Model(s) With Salesforce

You can sync the results from your Scoring Model with Salesforce. You need to map the relevant field from Apollo to Salesforce to sync this information.

For step-by-step instruction to sync Salesforce with your Scoring Model, read the Create a Scoring Model article.

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Define Your Scoring Criteria

Apollo breaks down the Scoring Rule filters into 2 types: Demographic and Behavioral. Refer to the table below for a list of the Account and Contact filters you can use to make a Scoring Model.

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