Affiliate case studies for affiliate marketers — done for you
Three niche builds with gate rates, index curves and post-update survival data. Scoped as a standalone workstream or folded into a full affiliate marketers build.
from $1,100 as a standalone workstream · included in the Affiliate Marketers Build tier
- Post-update
- Tracked 18 months
- Deliverables
- 4
- Runs with
- Amazon PA-API
What we actually do here
The only affiliate case study worth reading includes what happened at the next core update. We run this as a fixed-scope workstream: 4 defined deliverables, one named approver, and a written handover at the end. It attaches to an existing affiliate marketers engagement or stands alone if that is the only piece you are missing.
- 1Audit
A gear site that refused 81% of its planned pages
- 2Design
A price-tracking build where freshness was the ranking factor
- 3Build
A site that lost 70% of traffic and what the rebuild changed
- 4Hand over
Revenue per indexed URL across all three
- Full build documentation per study
- Core-update timeline overlays
- Gate configurations used
- Revenue-per-URL analysis
What the first weeks look like
- Week 1
Scoping call and data review
We look at what affiliate marketers already hold — systems, exports, APIs — and score each axis for demand and defensibility.
- Week 2
Contract and template design
The data contract is written and the first template is designed against real rows, not placeholders.
- Weeks 3–5
First tranche live
315–735 URLs published with schema, internal links, sitemap entries and IndexNow.
- Weeks 6–9
Read, widen, hand over
Indexation and impression data decides what widens and what gets cut. Templates, gates and runbook transfer to you.
Other pieces of the affiliate marketers build
Affiliate case studies — questions before you buy
Categories yes, exact domains no — these are competitive niches and clients ask us not to.
Programmatic SEO builds for other seats
Want the affiliate case studies for affiliate marketers surface scoped before you build it?
We'll audit the data source, size the first batch, set the performance budget and tell you honestly if programmatic is the wrong tool for your category.
