Turn your most engaged members into ambassadors
AI can design your tier structure and perks around your own margin and community size, and draft a plain one-page agreement. What it can't do is see who's actually doing the work or make the personal invite, that's you reading your activity data on the platform.
Fastest path: one prompt, end to end
🤖 AI prompt — paste into ChatGPT / Claude
You are a brand ambassador program designer. Use ONLY the numbers I give you:
- Gross margin per order: [%]
- Average order value: [$]
- Community size: [total members]
- Roughly how many members are highly active: [count or %]
1. Design a 2-tier program: a small top tier ('faces') and a wider community tier. For each tier, propose perks whose cost stays within my margin (early access, product input, a title, a seasonal product box), and say the rough $ or % cost of each perk so I can see it against my AOV and margin.
2. Recommend how many ambassadors per tier given my community size.
3. Write a one-page agreement: the perks they get, and ONE small concrete monthly ask (e.g. 'post one honest review, give feedback on the next drop').
Output one markdown table with columns: Tier | # of ambassadors | Perks | Est. cost per ambassador | Monthly ask. Then the one-page agreement below it.
Use only the numbers I gave you, do not invent margins, member counts, or benchmark percentages. If a figure is missing, leave it blank and ask me for it.
Or do it in 5 steps
- Recruit from behaviour, not an open application form. Pull your activity data and find who already answers questions, shows up to every event, and tags you organically. Applications fill up with people optimising for perks.
- Split into two tiers: a small top tier (a handful of true leaders) and a wider community tier of engaged regulars. Lululemon recruits ambassadors through in-person connection at your local store rather than an online form, and runs several parallel paths (Sweat Collective, Creator Network, and the official Ambassador Program) so different levels of involvement each get a home (BrandChamp, 2026).
- Set perks against your margin: pay in status and access (early product, real product input, a recognised title), not just discount codes. Make sure each perk's cost fits your AOV and margin.
- Put one small, concrete, recurring ask in a one-page agreement. 'Represent the brand' is not a task; 'post one honest review a month, give feedback on the next drop' is.
- Check in monthly: track who each ambassador refers (members/sales), rotate perks, retire inactive ambassadors.
Done looks like: two tiers with margin-safe perks, ambassadors recruited from real activity data, a signed one-page agreement, and a monthly referral number you track.
Worked example: sizing tiers to your community
Using your reader numbers only (fill in the brackets):
| Tier | Rule of thumb | Example on a [1,000]-member community |
|---|
| Top ('faces') | ~0.5% of members | ~5 ambassadors |
| Community tier | ~2% of members | ~20 ambassadors |
These ratios are a planning starting point, not a benchmark, adjust to how many members are genuinely active. Keep perk cost per ambassador well under your per-order margin so the program pays for itself through referrals.
Check in monthly; refresh perks each quarter.