Product seeding campaign checklist
Why brands fail at seeding
Seeding rarely fails because the product was wrong. It fails in the gaps between steps — the address that never got collected, the follow-up nobody sent, the post nobody noticed. The checklist above exists to close those gaps.
Frequently asked questions
What is a product seeding campaign?
A product seeding campaign is when a brand sends free product to creators in the hope that they make organic content about it. Unlike a paid partnership there are usually no posting requirements — see the full guide to product seeding.
How many influencers should I seed to?
Plan for 50–100. With typical response and post rates, that batch yields roughly 25–35 pieces of user-generated content.
What is a good post rate?
50–70%. Below 30% usually points at product-market fit, creator selection or the unboxing experience. The best-run programs reach 80%+.
How do I calculate seeding campaign ROI?
Three numbers: cost per post (total cost ÷ posts), earned media value (impressions ÷ 1,000 × CPM) and sales ROI (code-attributed revenue − cost, ÷ cost). The ROI calculator does all three.
What goes wrong
- Sending product to creators who never agreed to receive it
- A generic unboxing that gives nobody a reason to film it
- No follow-up after delivery
- No record of who posted and who did not
- Never calculating ROI, so the next campaign repeats the same mistakes
What the checklist covers
- Proper vetting and explicit confirmation before anything ships
- A memorable unboxing with personalised touches
- Systematic follow-up and relationship building
- Complete content tracking and UGC organisation
- Data-driven decisions on the next batch
Related resources
- ROI Calculator
Cost per post, EMV and break-even for a seeding batch.
- What is Product Seeding?
The complete guide to influencer gifting.
- How to Choose Influencers
Seven criteria for picking partners worth shipping to.
Run your next seeding batch without the spreadsheet.
Claim links, $0 Shopify gift orders, tracking, follow-ups and code-level attribution — in one pipeline.