How to Effectively Segment and Target Audiences in Messaging Campaigns While Avoiding Duplicates
Blast messaging campaigns are a powerful way to reach a wide audience effectively, but they must be carefully managed to ensure proper segmentation and prevent recipients from receiving duplicate communications. Below, we provide guidelines and best practices for organizing messaging campaigns efficiently, targeting the right audience, and avoiding overlap.
Challenges of Audience Segmentation
When managing blast messaging campaigns, common concerns include:
Ensuring patient-specific messages are aligned with the correct provider.
Refining the audience to exclude irrelevant groups or prevent duplication.
Preventing the same recipient from appearing in multiple blasts for different campaigns or time periods.
Best Practices for Segmenting and Targeting Audiences
Adopting careful segmentation strategies and using the platform's filtering tools will help you address these challenges:
1. Segment Campaigns by Provider
To ensure patients do not receive duplicate messages from multiple providers:
Create distinct campaigns for each provider.
Apply provider-specific filters so that only patients associated with a specific provider are targeted.
Use the "Appointment Provider" filter instead of "Primary Provider" for drip campaigns. This ensures that messages are sent in alignment with the scheduled visit and prevents mismatched communications.
2. Refine Audience Criteria Beyond Tags
To ensure your blast reaches the right audience:
Exclude groups based on tags.
Further refine the audience using filters such as: - Case type. - Demographic attributes, such as age. - Payment history, such as total amount paid. - Patient status (active/inactive).
3. Prevent Duplicates Across Multiple Campaigns
When managing campaigns across different years or time periods:
Use consistent visit date ranges across all blasts (e.g., January 2023 to January 2026).
Ensure recipients do not appear in multiple blasts by segmenting audiences with mutually exclusive filters, such as: - Age bands (e.g., 1-30, 31-60, 61-90) - Birthday months (e.g., January-March in one campaign, April-June in another). Since each recipient has a single birthday month, these criteria prevent duplicates among blasts.
Common Pitfalls and Solutions
Overlap in Audience Filtering
Overlapping filters can lead to duplication or audience mismatches. Always apply mutually exclusive criteria to prevent overlap.
Incorrect Provider Targeting
Using the "Primary Provider" filter instead of "Appointment Provider" may misalign campaign messaging. Double-check campaign settings to ensure correct targeting.
Inconsistent Audience Rules in Automated Campaigns
Ensure all ongoing (e.g., review requests) and automated campaigns follow the same audience rules as the main campaigns. Regularly review audience and filter settings.