The right advocates at the right moment.
SlapFive uses AI to help teams reach out to the right customers at the right time. Advocacy opportunities are informed by real engagement, so requests feel natural, timely, and aligned with how customers are already interacting with your business.
AI-Powered Advocate Sourcing That Keeps Up
AI-Guided Matching
Automatically identify the right advocates using CRM data, customer attributes, and real engagement signals to support timely, accurate advocacy requests.
Dynamic Availability
Automatically update advocate availability based on participation, engagement, and defined rules, without manual tracking or list management.
Balanced Outreach
Distribute advocacy requests across the advocate pool using participation preferences to prevent overuse and protect customer relationships.
Engagement Signals
Incorporate customer engagement signals from any platform or data source to intelligently inform advocate selection.
Agnostic Sourcing
Rely on AI to identify advocacy intent from any internal or external system, including call recordings, reviews, and CSAT data.
Built-In Guardrails
Apply rules and approvals to advocate sourcing to ensure customer relationships are centered and protected.
AI-Powered Advocate Sourcing That Does The Heavy Lifting For You
Manually sourcing advocates often means piecing together fit by pulling data from multiple systems and chasing sales and customer success colleagues for context. It is time consuming, inconsistent, and pulls teams away from the work that actually builds strong customer relationships.
SlapFive uses AI to actively listen across your customer systems and surface pre-screened advocates based on real intent and engagement. By handling the analysis and cross-checking behind the scenes, SlapFive allows teams to apply their human judgment where it matters most: thoughtful outreach, meaningful communication, and long-term relationship building.
Surface Advocates
Stop hunting for the right customers, start choosing.
SlapFive continuously surfaces advocates by always-on listening across your customer systems and bringing engagement signals together in one place. Instead of assembling context manually, teams start with a clear, curated view of customers who are ready and appropriate for advocacy programs.
Advocates are presented as pre-screened campaigns informed by real intent and engagement. This allows teams to focus their time and judgment on outreach and relationship building, rather than searching for who might be a good fit.
Balance Outreach
Advocacy works best when it stays sustainable.
SlapFive tracks what advocacy activities customers are willing to do and how often they want to participate, then uses that logic to guide outreach across programs and campaigns. Participation history and engagement signals stay connected, so advocate sourcing remains informed as customer relationships evolve.
Customer-defined logic can also automatically pause advocate asks based on customer health signals, ensuring outreach adjusts when circumstances change. This helps teams align asks to customer preferences and protect long-term relationships as programs scale.
Listen Everywhere
Advocacy intent can show up in surprising places.
SlapFive listens for advocacy intent wherever customers are engaging, across internal systems, third-party platforms, and public channels. Signals from CRM, community, call recordings, product usage, and third party reviews are tracked and evaluated in context.
This allows advocate sourcing to reflect the full reality of customer engagement, not just activity captured in a single tool. Programs are informed by a complete, connected view of intent, regardless of where that signal originates.
Balance Outreach
Advocacy works best when it stays sustainable.
SlapFive tracks what advocacy activities customers are willing to do and how often they want to participate, then uses that logic to guide outreach across programs and campaigns. Participation history and engagement signals stay connected, so advocate sourcing remains informed as customer relationships evolve.
Customer-defined logic can also automatically pause advocate asks based on customer health signals, ensuring outreach adjusts when circumstances change. This helps teams align asks to customer preferences and protect long-term relationships as programs scale.
Ready to Ditch the Manual Labor?
Let AI surface advocates who are ready and appropriate, so teams can focus on outreach and relationships instead of searching.