Pakistan
Shopify stores in Pakistan — small lists, loud footwear
12,095
stores tagged Pakistan
0.6%
dropship share
60k
avg visits on active footwear
Footwear and fragrance over-index on attention
Source: EcomScout catalog, pulled 2026-09-04. GET /v1/stores?countryCode=PK&groupBy=vertical&minVisits=500.
Pakistan searches the platform, not “suppliers”
Ahrefs PK: “shopify pakistan” is 1,100/mo (KD 0, $0.25 CPC). “dropshipping pakistan” is 150/mo and harder (KD 30). Contrast India, where “dropshipping suppliers” is 2,100. From Pakistan the typed job is often “how do I use Shopify,” while the chat job we see is still a US list. Footwear is the local exception.
| Query | Vol / mo | KD | CPC |
|---|---|---|---|
| shopify pakistan | 1,100 | 0 | $0.25 |
| dropshipping pakistan | 150 | 30 | $0.15 |
| shopify stores pakistan | 30 | — | — |
Source: Ahrefs Keywords Explorer. Keywords Explorer, country=pk, 2026-09-04.
PK jobs are usually US lists — except when they are shoes
“Pakistani footwear over 15k visits.”
“Fragrance shops tagged PK, Instagram present.”
“20 US apparel stores >10k visits, email on file.”
How the numbers were calculated
- Country totals: Neonjelly
get_countries/GET /v1/analytics/countries. Dropship % =round(1000 × dropshippers / stores) / 10. - Vertical bars:
GET /v1/stores?countryCode=PK&groupBy=vertical&minVisits=500. Floor drops parked shops.(unclassified)omitted from charts.storeCountis shops that clear the floor, not the unfiltered country total. - Mean vs median modeled revenue: catalog fields on the unfiltered country row. A fat head (US $15.6k mean / $8 median) is why we print both when the gap is the story.
- Keyword tables: Ahrefs Keywords Explorer, country-local Google volume (12-month average), KD 0–100, CPC in USD (API returns cents; we divide by 100). Pulled 2026-09-04. We do not invent volumes.
Source: EcomScout catalog, pulled 2026-09-04. Catalog snapshot 2026-09-04. Ahrefs cited on each keyword table.
Other country cuts
Run a Pakistani list
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