Limitations of Tags:

1. Lack of Granularity: Tags offer a broad categorization, but they might not provide the level of detail needed for complex data analysis.

2. Limited Data Capture: Tags don't capture specific data points like Custom Fields do. They're more about grouping content rather than storing detailed information.

3. Limited Reporting Insights: While tags help with basic reporting, they might not offer as in-depth insights as structured data in Custom Fields would.

4. Overuse and Inconsistency: Using too many tags or using them inconsistently can lead to confusion and defeat the purpose of effective categorization.

5. Limited Personalization: Tags may not provide the same level of personalization as Custom Fields when tailoring interactions based on specific data points.

Limitations of Custom Fields:

1. Complexity: Setting up Custom Fields requires careful planning and configuration, which might be overwhelming for less experienced users.

2. Data Maintenance: Ensuring accuracy and consistency in the data entered into Custom Fields requires ongoing effort and oversight.

3. Data Overload: Having too many Custom Fields can clutter your platform and make data management challenging.

4. Limited Flexibility: Custom Fields may not provide the same quick categorization and sorting abilities as Tags do.

5. Learning Curve: Users new to the platform might need time to understand how to utilize Custom Fields effectively.

Choosing the Right Functionality:

Consider your specific data management needs and reporting requirements when choosing between Tags and Custom Fields. While both have their limitations, understanding these can help you make informed decisions and use the right tool for the right purpose in Sprinklr.