* Segment Errors in Data Cloud: Segments in Salesforce Data Cloud can encounter errors due to various reasons, including complexity and nested segments.
* Calculated Insights vs. Nested Segments:
Complex Segments: If a segment is too complex due to extensive nesting or numerous conditions, it can lead to errors.
Simplification with Calculated Insights: Using calculated insights can simplify segment creation by pre-computing and storing complex logic or aggregations, which can then be referenced directly in the segment.
* Solution:
Step 1: Identify the segment causing the "Segment is too complex" error.
Step 2: Break down complex logic into calculated insights.
Step 3: Use these calculated insights in segment definitions to reduce complexity.
* Reference:
Salesforce Data Cloud Calculated Insights
Salesforce Data Cloud Segment Creation

The result of a segmentation criteria filtering on City | Is Equal To | 'San Jose' is cities only containing 'San Jose' or 'san jose'. This is because the segmentation criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact value that is entered in the filter1. Therefore, cities containing 'San Jose', 'san jose', or 'San Jose' will not be included in the result, as they do not match the filter value exactly. To include cities with different variations of the name 'San Jose', you would need to use the OR operator and add multiple filter values, such as 'San Jose' OR 'San Jose' OR 'san jose' OR 'san jose'2. Reference: Segmentation Criteria, Segmentation Operators