AI Customer Advocacy Software
Herald helps teams determine which customers are truly ready to be advocates based on behavior, sentiment, and engagement.
Create a reliable pipeline of customer advocates.
Key facts
Category: Data enrichment agent
Job: Advocacy readiness assessment
What it analyzes:
Engagement, sentiment, risk signals, and customer interactions
What you get:
A clear advocacy status for each contact, with
- Rationale
- Last modified date
- Confidence scoring
How it’s priced: Included in Agentic Essentials
Mission
Herald helps teams build a reliable, evidence-based advocacy pipeline grounded in real customer behavior. By analyzing engagement, sentiment, and risk signals, it identifies who is advocacy-ready, who’s developing, and who to avoid, protecting trust and brand credibility with every ask.
Process
Herald analyzes customer interactions and contact data to determine each person’s advocacy status using defined criteria and confidence scoring.
Get the right customer advocates the first time around.
Advocacy is powerful and fragile. Herald helps you approach the right customers with the right request at the right moment, while steering clear of contacts showing risk or dissatisfaction. The result is higher-quality references, stronger stories, and fewer awkward “not right now” conversations.
Pro tip: Time advocacy requests around realized ROI.
Create a lightweight action that checks the AI advocacy status immediately after a customer milestone (such as a confirmed renewal or successful launch). When status is strong, the request lands naturally. When it’s “developing,” route it to a relationship-building step first (a thank-you note, an executive shareout, or a small spotlight).
Meet the full suite of ChurnZero AI agents
Learn more about ChurnZero AI agents. Every agent was built specifically for customer success and is embedded directly in the ChurnZero platform, not bolted on as a separate tool.
Unlike generic AI, ChurnZero agents use your customer data as their foundation to analyze signals like engagement, usage, and account changes, then take action by enriching data, triggering workflows, and guiding next steps. The result is faster execution, more accurate insights, and a more efficient CS team.