In Optimove, the attributes that help you create target groups are grouped in categories called “selection criteria”. Target groups are comprised of at least one selection criterion.
The table below describes how often each criterion is updated.
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Selection Criteria
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Description
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When
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Lifecycle Stages
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Lifecycle stages is a high-level segmentation that represents the different phases a customer moves through during their relationship with your company.
The purpose of segmenting customers into lifecycle stages is to distinguish between different types of customers and sub-segment them separately.
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Daily
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Segmentation Layers
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Key aspects of customer behavior are described by a set of segmentation layers for each lifecycle stage.
Customers are clustered into distinct customer personas across each segmentation layer, to enable persona identification and customer insights.
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Daily
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Customer attributes are traits and characteristics that represent any data point, raw or calculated, that you may have on your customers and which is reflected within Optimove. For example, the customer’s country is an attribute.
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Daily or Real-time, based on your settings
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A Daily breakdown of the different activity types that customers perform.
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Daily
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Detailed historical data on prior campaigns that customers received and responded to. You can take advantage of this valuable “campaign memory” to drive even more personalized, relevant and effective campaigns.
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Daily
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Optimail and Optipush clients can create customer segments based on customers’ interactions with their emails and mobile push notifications.
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Real-time
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Daily breakdown of how much a customer has spent, and how many times a customer purchased a specific product or played a specific game. Using Purchase/Game History, you can segment based on a customer’s past purchasing or playing behavior.
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Daily
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Includes or excludes customers who match another target group’s criteria, in order to save precious time when using repetitive rules for various groups.
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Daily
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Optimove provides you with four out-of-the-box predictive attributes to use when targeting your customers; Conversion Rate, Future Value, Reactivation Rate, and Risk of Churn.
These attributes are based on a daily analysis of the migrations of customers between micro-segments over time.
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Daily
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A daily breakdown of the different activity types that customers perform on your website or app. This is relevant only if you have implemented Optimove’s SDK.
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Hourly
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Grouping of customers according to their expected future value.
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Daily
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A micro-segment is the most granular level of segmentation. It is based on a combination of cluster personas. These small groupings of customers share similar behavioral characteristics.
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Daily
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A criterion that enables you to build a target group of customers who match a specific list of Customer IDs uploaded via a CSV file. The data of the customers included in the list is updated as part of the daily batch.
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Daily
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