Audience Search

2.1 Keyword Selection and Targeting

• What Are Keywords?

  • Explanation of how keywords represent what your target audience is searching for online.
  • Importance of choosing the right keywords to ensure you reach the most relevant audience.

• How to Choose Keywords:

  • Step 1: Identify key terms related to your product or service (e.g., "Kansas City Chiefs," "NFL gear").
  • Step 2: Consider adding variations or related terms to capture a broader audience (e.g., "Patrick Mahomes," "football").
  • Step 3: Focus on intent—choose keywords that reflect the actions your audience is likely to take (e.g., searching for a specific product).

• Tips for Effective Keyword Targeting:

  • Use both broad and specific terms to cover different aspects of your audience’s interests.
  • Avoid overly generic keywords that might attract irrelevant traffic.
  • Regularly update and refine your keywords based on performance data.

2.2 Advanced Search Filters (Location, Demographics, etc.)

• Refining Your Audience Search:

  • Location Filters: Target specific geographic areas (e.g., Kansas City) to ensure your audience is in the right place.
  • Demographic Filters: Narrow down your search by age, income, gender, etc., to reach the right segment of the population.
  • Behavioral Filters: Target audiences based on their online behavior, such as recent searches, interests, and purchase history.

• How to Apply Filters:

  • Step 1: After entering your keywords, select the filters that match your target audience.
  • Step 2: Adjust the filters to refine your audience further (e.g., exclude certain age groups, focus on high-income individuals).
  • Step 3: Preview the estimated audience size to ensure your criteria are neither too broad nor too narrow.

• Examples of Filter Combinations:

  • Targeting NFL fans in Kansas City who are 18+ and have a household income of $75,000+.
  • Finding business professionals searching for marketing services in New York City.

2.3 Reviewing and Selecting Audience Segments

• Understanding Audience Segments:

  • Explanation of how Ad Hub groups audiences into segments based on your search criteria.
  • Each segment represents a group of people with similar characteristics and interests.

• How to Review Audience Segments:

  • Step 1: After performing a search, view the list of audience segments generated.
  • Step 2: Analyze the segment descriptions, keyword matches, and relevance scores to determine the best fit for your campaign.
  • Step 3: Prioritize high-relevance segments and exclude any that don’t match your target criteria.

• Selecting the Right Segments:

  • Choose up to 5 segments that best align with your campaign goals.
  • If necessary, combine segments to create a broader audience without diluting your targeting.

• Example of Segment Selection:

  • Choosing segments related to Kansas City Chiefs fans and NFL merchandise buyers for a sports apparel campaign.

2.4 Exporting Audience Data (CSV, Integrations)

• How to Export Your Audience Data:

  • Step 1: After selecting your audience segments, choose the export format (e.g., CSV).
  • Step 2: If integrating with a marketing tool like GoHighLevel, create a tag to organize your data (e.g., "Kansas City Chiefs Fans").
  • Step 3: Export the data and download the file or sync it directly with your chosen platform.

• Integration Options:

  • Overview of integration possibilities with tools like GoHighLevel, CRMs, and email marketing platforms.
  • How to set up and manage integrations to streamline your marketing workflow.

• Best Practices for Data Export:

  • Organize your exported data with clear tags and filenames for easy reference.
  • Regularly update and re-export your data as your audience segments change.

2.5 Real-Time Data Updates

• Daily Data Refreshes:

  • Explanation of how Ad Hub updates its audience data daily, ensuring you always work with the most current information.
  • Importance of using fresh data to stay ahead of competitors and target active, engaged audiences.

• How to Monitor Data Updates:

  • Track changes in audience size and segment relevance over time.
  • Set up notifications or scheduled exports to automatically receive updated data.

• Examples of Real-Time Data Usage:

  • Running daily email campaigns with the latest audience data.
  • Adjusting social media ad targeting based on newly refreshed audience segments.