Your lowest-CAC channel isin your customer list.
Most businesses treat referrals as a happy accident. They’re actually the highest-trust, lowest-cost channel you have — you’re just not running them as a system.
This engine makes referrals repeatable, forecastable, and compliant — with the economics to back the decision before you scale.
Referrals are your cheapest channel — run as a happy accident.
The introduction carries built-in trust, so a referred customer converts cheaper and sticks longer. Yet most businesses have no loop, no economics, and no compliance discipline — so the channel underperforms or quietly steps on the FTC rules.
Make it a system — identify, ask, reward, amplify, track — with the math behind it and the disclosures baked in, and referrals become a forecastable line.
Referrals are the highest-trust, lowest-CAC channel you have — and most businesses treat them as a happy accident instead of a system.
Without the math — referral CAC, net value, viral coefficient — you can't tell whether a program is worth scaling or just busywork.
Reward a positive review and you've broken the FTC rule. Disclose every incentive and reward honest referrals, and the whole program stays clean.
Is your referral program worth scaling?
Enter your funnel and see your referral CAC, net value, and viral coefficient — the same model as the included referralcalc.py.
Referred customers
37.5
Referral CAC
$25
Net value
$10,313
Supplemental channel
k = 0.07
Viral coefficient k ≥ 1 is self-sustaining; below 1 is a strong, profitable supplement. Referral CAC is almost always a fraction of paid CAC.
Build referrals into a forecastable channel.
The advocacy loop, compliant reward + disclosure templates, GHL wiring, and this economics model.
Get the Referral & Advocacy Engine — $79Incentivized advocacy must be disclosed, and you never reward a positive review specifically. Guidance, not legal advice.
Identify, ask, reward, amplify, track.
The repeatable loop behind the playbook, templates, and economics model — compliant at every step.
Find your advocates — the customers already succeeding and likely to recommend you — so you ask the right people, not everyone.
Make the ask at a genuine value moment (a win, a milestone, a renewal), with a clear, low-friction path to refer.
Reward an honest referral or a purchase — never a positive review — and disclose the incentive every time. Compliant by construction.
Turn the proof into momentum: showcase real outcomes and advocates honestly, with disclosure where there's a material connection.
Watch referral CAC, net value, and the viral coefficient k — the numbers that tell you whether to hold, tune, or scale.
A playbook, templates, an economics model, and a calculator.
Why referrals beat paid, the Advocacy Engine loop, referral economics, compliant incentives, and wiring it into GoHighLevel.
Reward structures, ask messages timed to value moments, and disclosure language — built so every incentive is clear and honest.
A referral-economics model (referred customers, referral CAC, net value, viral coefficient with a band verdict) and a live compliance checklist.
Enter your funnel for referral CAC, net value, and the viral coefficient k with a Self-sustaining / Strong supplemental / Supplemental verdict. Zero dependencies; runs keyless.
The editable thresholds behind the model — the k bands and compliance rules. Tune them to your business.
A referral system — honest about the rules.
- Reward referrals, not reviews
Reward an honest referral or a purchase — never a positive review specifically. That one rule keeps the program on the right side of the FTC.
- Disclose every incentive
Material connections must be clear. The templates and checklist make disclosure the default, not an afterthought.
- k below 1 is still great
Most SMB programs sit well under self-sustaining — and that's a strong, profitable supplement once you see the referral CAC. The model is honest about that.
- Not legal advice
Endorsement and incentive laws vary by jurisdiction. This is guidance and ready-to-adapt templates — confirm your obligations with counsel.
Businesses with happy customers and no referral system.
Service businesses, SaaS, and agencies sitting on satisfied customers — who want a forecastable, compliant referral channel instead of the occasional lucky introduction.
AI Reputation & Reviews Engine
$99The same advocates who refer also leave your reviews — and both disclose incentives the same way. The Reviews Engine earns five-stars compliantly, the natural companion to a referral program.
Customer Support & Success Skills Pack
$89Advocacy is downstream of experience. Six Claude skills — ticket triage, an on-brand reply drafter, QA scoring, churn-risk flagging — so the customers you ask to refer are genuinely succeeding.
GHL AI Activation Kit
$149Wire the advocacy loop into your CRM. The GHL AI Activation Kit fires the ask at the right value moment, tracks rewards, and tags advocates — turning the loop into an automated motion.
The questions operators actually ask before they launch referrals.
A system that turns referrals from a happy accident into a repeatable channel. It includes the Advocacy Engine loop (Identify advocates, Ask at a value moment, Reward, Amplify, Track), a referral-economics model (referral CAC, net value, and the viral coefficient k), compliant reward and disclosure templates, a compliance checklist, and GHL wiring.
k is the average number of new customers each customer generates — refer-rate × referrals-each × conversion. At k ≥ 1 the program is self-sustaining; below 1 it's a strong, profitable supplement, which is the realistic case for most SMBs. The model computes your k and referral CAC before you scale, so you decide on economics, not hope.
Three rules baked into the templates and checklist: disclose every incentive (material connections must be clear), reward an honest referral or a purchase — never a positive review specifically — and never publish fabricated testimonials. Incentivizing positive reviews is prohibited under the FTC's rules; rewarding a referral or purchase is fine when disclosed.
Almost always — referrals are among the highest-trust, lowest-CAC channels because the introduction carries built-in credibility. The exact numbers vary by business, so the model uses your inputs (reward, conversion, margin) rather than asserting a benchmark; it shows your referral CAC next to the net value so the decision is grounded.
Yes. The kit includes GHL wiring so the ask fires at the right value moment, rewards are tracked, and advocates are tagged — turning the loop into an automated motion inside your CRM rather than a manual chase.
It pairs naturally with the AI Reputation & Reviews Engine — the same advocates who refer also leave your reviews, and both disclose incentives the same way. The Customer Support & Success Skills Pack keeps the experience that earns advocacy consistent, and the GHL AI Activation Kit wires the whole motion into your CRM.
A Referral Engine Playbook, Templates (reward, ask, and disclosure), the Referral Workbook (Excel: economics + compliance checklist), referralcalc.py, and an editable config.
Make referrals a system.
Identify advocates, ask at the right moment, reward compliantly, and track the viral coefficient — your cheapest channel, run on purpose. One-time $79, yours to keep.
Sold by RedHub AI LLC · Secured by Stripe · Rewards honest referrals, not reviews · not legal advice · redhub.ai