Implementation guide
Scale Referrals with AI Matchmaking
Detailed training workflow for Scale Referrals with AI Matchmaking in Sales & Deals.
salesreferral
Guided walkthrough
Problem: Referrals convert at 3-5x the rate of cold outreach, but most companies get them accidentally. NPS Analysis AI identifies your top promoters from NPS and CSAT scores. Network Match Cross-reference promoters' LinkedIn connections against your ICP to find warm intros. Intro Drafting Generate a pre-written intro email for the customer to send to their peers in seconds.
Advanced implementation notes
Systematic Referral Program Engine Advocate Identification AI builds an 'Advocate Score' for each customer combining: NPS score (weight: 30%), support ticket sentiment (20%), product usage depth (20%), tenure (15%), and social mentions (15%). Top 10% become Priority Advocates. Network Mapping For each Priority Advocate, AI maps their professional network: LinkedIn connections filtered by your ICP criteria (industry, company size, role seniority). Identifies 'golden connections' — advocates connected to prospects already in your pipeline. Trigger-Based
Activation AI auto-triggers referral requests at optimal moments: just after a successful QBR, after the customer achieves a key milestone, after they publicly praise your product on social media, or after a major support issue is resolved above expectations. Facilitated Introduction AI generates 3 assets for the advocate: a pre-written LinkedIn message, an intro email template referencing their specific success story, and a 'What's in it for you' incentive summary (rewards, credits, or 'pay it forward' community impact). Referral Pipeline Tracking Track
the full lifecycle: Request Sent → Intro Made → Meeting Booked → Deal Created → Deal Won. AI calculates referral conversion rates vs. other sources and generates ROI reports for the advocacy program. Make referring effortless — the advocate should need to do nothing more than forward a pre-written email or click 'Send' on a LinkedIn message. Personalize the 'ask' to the advocate's relationship: 'I noticed you're connected to Sarah Chen at Acme — would an intro make sense?' beats 'Do you know anyone who might benefit?' Close the loop — always tell the
advocate what happened with their referral, whether it converted or not. Acknowledge their effort regardless of outcome. Don't ask for referrals from customers with open support tickets or unresolved issues — it poisons the relationship. Don't make referral incentives the primary motivator — research shows the strongest referrals come from genuine belief in the product, not financial reward. Don't spam advocates with monthly 'Give us a referral!' emails — use trigger-based activation tied to positive moments. The 'Peer Community' Flywheel Create a
private Slack community or LinkedIn group for your top advocates. AI can seed discussion topics based on trending industry challenges. When advocates help each other in the community, they naturally become stronger champions — and organic referrals emerge from these peer conversations without any direct 'ask' from your sales team.