What the long tail is
The term comes from distribution theory: plot every query by search volume and the head is a few
thousand high-volume terms, while the tail stretches out across millions of low-volume ones. Each
individual tail query brings little, but together they account for 70–80% of all searches.
Head: "trainers" → heavy competition, low conversion
Body: "running trainers" → moderate competition
Tail: "Nike Air Max 90 white 43" → light competition, high conversion
Why the long tail matters in e-commerce
Someone typing a multi-word query has already been through the research phase and is looking for a
specific item. Their intention to buy is far stronger than that of a person entering a general
word. That makes tail pages valuable despite the small traffic each one carries.
For a large online store a substantial share of organic traffic arrives through the long tail —
via product pages and filtered category pages.
How to cover the long tail in e-commerce
| Page type | Mechanic | Example |
|---|---|---|
| Product pages (PDP) | Unique descriptions plus specifications | “Nike Air Max 90 white men’s” |
| Filtered category pages | Faceted search with SEO-accessible URLs | “/trainers/nike/white/size-43” |
| Informational articles | Blog, FAQ, guides | “How to choose running shoes for tarmac” |
| Tag pages | Automatic aggregators | “Everything tagged minimalist design” |
Tip: do not put template copy on filter pages — a bare buy Nike trainers with nothing useful
around it. Search engines filter duplicated thin content ever more aggressively. Add at least
three or four sentences of genuine description of that selection.
Common mistakes
- Blocking filter pages in robots.txt — manage canonical attributes and noindex for the
unwanted combinations instead - Duplicate content — the same products in several categories without a canonical leads to
keyword cannibalization - Neglecting product page optimisation — product pages often deliver more long-tail traffic
than the entire blog