The most common version of this use case is an e-commerce brand running a giveaway through a group of influencers, capturing emails at the top, and tracking every one of those emails through to a coupon-code purchase. Here's exactly how that's built.
Most teams think of influencer marketing as pure awareness. In practice, one campaign gives you a lead-capture moment, a purchase-tracking moment, and a retention moment, if it's built to capture data at each one.
Bloom & Co. wants to grow its email list ahead of a seasonal sale and prove which influencers are worth rebooking. They partner with 12 micro-influencers (8,000 to 60,000 followers each).
Not "how many entries." A per-influencer breakdown of emails captured, coupon redemptions, revenue generated, and cost, so the next rebooking decision is based on ROAS, not follower count.
| Influencer | Coupon | Emails captured | Redemptions | Revenue | Fee paid | ROAS |
|---|---|---|---|---|---|---|
| Mia (62K) | MIA20 | 418 | 61 | $3,110 | $400 | 7.8x |
| Jordan (24K) | JORDAN20 | 205 | 19 | $940 | $200 | 4.7x |
| Priya (11K) | PRIYA20 | 96 | 22 | $1,180 | $150 | 7.9x |
Illustrative numbers. In practice this table updates live as redemptions come in from Shopify.
Run this same structure every quarter and the per-influencer scorecard becomes a running leaderboard. Rebooking decisions stop being about vibes and follower count, and start being about who actually converts your audience.