Advanced Filters in DXT360 Analytics

The ‘Advanced Filters’ feature allows you to refine the data you're viewing on your dashboard by applying specific filters to your campaign data. This feature is especially helpful in isolating the most relevant information, enabling you to analyze performance more effectively.

How to Access and Apply Advanced Filters:

Select the campaign you wish to view, then click on the ‘Advanced Filters’ button.

Apply your desired filters by selecting options from the available fields such as Sources, Demographics, and Categorization. Please note that the number displayed on the ‘Advance Filters’ button indicates the total number of active filters applied to the current search or data view.

Available Filter Categories

1. Channel Filtering

You can filter data by selecting specific channels, such as Twitter, Facebook, Instagram, and others, to narrow down the sources of the posts being tracked.

2. Demographics

• Languages
  Filter posts based on the language of the content, allowing you to focus on specific languages across the data.
• Country
  Track content based on its origin country. This filter uses available geotag data and may be applied to online media and social media posts.
• Location
  Filter posts by specific location (e.g., city or district) based on geo-tagging or text mentions within posts.
• Interest (Social Data Only)
  Select posts related to specific user interests. This filter relies on Natural Language Processing (NLP) to analyze content and match it with predefined categories.
• Gender (Social Data Only)
  Filter content based on the gender of the user, determined by NLP text and context matching from public social media profiles.
• Age (Social Data Only)
  Filter content based on the age group of the user, determined using face recognition technology. This technology analyzes the account owner's profile picture to estimate their approximate age group (e.g., 18-24, 25-34, etc.).

3. Categorization

• Sentiment
  Analyze the sentiment of the content. Content can be classified as Positive, Neutral, or Negative, based on our sentiment analysis engine.
• Mood
  Mood is derived from sentiment analysis, capturing emotions like Happy, Sad, Frustrated, Excited, and more.
• Sentence Type
  Categorize content based on its sentence type, such as Complaints, Promotions, Greetings, and more.
• Topic
  Filter content by topics relevant to specific industries or campaign categories, helping to focus on relevant discussions.

One of the most powerful capabilities of Advanced Filters is the ability to combine multiple filters simultaneously. This allows you to slice through complex datasets and pinpoint the exact conversations that matter most to your campaign or business objective. By layering filters, you can focus your analysis on a highly targeted audience or situation—perfect for crisis monitoring, campaign tuning, or regional sentiment tracking.

💡 Pro Tip: Start with broader filters (e.g., Topic or Channel), then layer in specifics (e.g., Mood or Demographics) to gradually refine your dataset without losing too much volume.