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AI Explorer / Customer Engagement / Identify Advocacy and Referral Candidates

Customer Engagement

Identify Advocacy and Referral Candidates

Spot satisfied customers who are most likely to refer, review, or advocate

FitnessFinancial ServicesHealthcareReal EstateHigher Education

Many of your best customers are willing to refer, review, or advocate for the brand, but most teams do not know who is most likely to act. Advocacy programs stay broad, underused, and difficult to scale. Valuable word-of-mouth potential is left untapped because outreach is not targeted well enough.

AI identifies customers whose behavior, satisfaction, and engagement suggest a high likelihood to advocate. Teams can invite the right people into referral, review, and ambassador programs at the right time. That makes advocacy efforts more efficient and helps turn satisfied customers into active brand supporters.

  • Score customers on advocacy propensity from multiple signals
  • Trigger personalized advocacy program invitations
  • Identify review opportunities at peak satisfaction moments
  • Surface referral candidates before enthusiasm fades
  • Track advocacy contribution to pipeline and revenue
  1. Build a referral engine that works continuously, not just when the sales team remembers to ask.
  2. Grow your review presence on key platforms before prospects are actively researching you.
  3. Identify your most passionate customers and give them meaningful ways to participate in your success.
3-5xIncrease in customer review submission rate
25-45%Improvement in referral program participation
15-30%Of new pipeline attributed to advocacy sourced leads
Day 30

Advocacy scoring model built, data signals integrated, initial cohort of high propensity advocates identified

Day 60

Advocacy program workflows live, review invitations and referral asks triggered automatically for qualifying customers

Day 120

Advocacy pipeline contribution measured, reviews generated, referrals tracked, revenue impact quantified

  • NPS and CSAT survey data by customer and account
  • Product usage and feature adoption data
  • Support interaction sentiment and resolution history
  • Social mention and review data (brand listening)
  • Customer tenure, expansion revenue, and account health data
  • Historical referral program participation and conversion data
  • Customer advocacy platform (Influitive, ReferenceEdge, Birdeye)
  • CRM (Salesforce, HubSpot)
  • NPS and survey tools (Qualtrics, Delighted)
  • Social listening (Brandwatch, Sprinklr)
  • Review management (G2, Trustpilot, Google Business)
  • Customer marketing manager (advocacy program strategy and execution)
  • Data analyst (propensity scoring and signal integration)
  • Customer success manager (account-level validation and relationship context)
  • Marketing ops (workflow automation and CRM integration)
  • Sales enablement (referral tracking and pipeline attribution)
Identify Advocacy and Referral Candidates | AI Explorer | The Matrix Point