Georank: the overlooked Amazon ranking factor that varies by zip code
Georank, the variability of a product's keyword ranking from place to place inside a single marketplace, challenges the long-held assumption that Amazon rankings are uniform nationwide. Most sellers have yet to factor it into their strategies, leaving opportunity on the table.
Skeptics argue rankings normalize as a product gains traction, but researchers say testing has found no empirical evidence of that. In one case study, a skincare ASIN more than ten years old selling over 7,000 units a month showed wide ranking variability: across 21 keywords tracked in 532 locations, the term 'acne treatment' ranged from organic position 1 to position 196 depending on the zip code.
Amazon itself confirmed the structural basis for this at its Accelerate conference in September 2023, revealing it splits its marketplaces into micro-markets carrying distinct demand curves, logistics, and product mixes. Four years of testing across five markets and more than 7,000 ASINs found persistent variability even for established, high-volume products.
Researchers are also debunking common myths: georank does not normalize with sales; it is not determined solely by inventory placement, since local demand signals matter more; sellers can influence it through geo-targeted marketing; and established tactics such as giveaways, Search-Find-Buy, and influencer campaigns still deliver when adapted to georank principles.
Two ranking impact types matter. First Order Ranking Impact, tied directly to clicks, visits, cart adds, and purchases from on-Amazon searches, is the strongest signal and is localized to specific regions. Third Order Ranking Impact, driven by secondary factors like Best Seller Rank and inventory placement, affects all indexed keywords but with weaker force and can give incremental lifts to weaker locations.
Practical strategies include using TikTok's DMA regions or Pinterest's location targeting to advertise into weak-ranking areas, optimizing Google and Meta campaigns regionally, combining Amazon DSP geo-targeting with remarketing, running regular georank reports, and driving demand in targeted areas to influence where Amazon places inventory. With most sellers still unaware of the effect, early adopters have an opening.
Geofence advertising is a related tactic gaining ground. Self-serve platforms now let marketers draw a virtual fence around a physical location, such as a convention center or stadium, collect the device IDs of GPS-enabled phones that enter, and serve banner, streaming TV, or pre-roll video ads to those devices across hundreds of thousands of publishers. In the US, roughly 90 percent of handsets run GPS in the background, and brands already use the technique to target competitors' customers, as when Dunkin' targets Starbucks visitors.
Separately, analysts studying Amazon's A9 algorithm say its search rank factor stack adjusts by sub-category, and that the factors are comparative rather than absolute. Primary influencers are relative conversion rate, relative sales velocity, and relative title optimization against competing listings. Secondary factors include content quality, unit versus order velocity, search-node relevance, price, shipping speed, Prime eligibility, review counts and ratings, image quality, engagement rate, consumer behavior signals, and more than twenty undisclosed metrics. The implication: sellers optimizing only titles and ads will lose to those optimizing every controllable factor.
Finally, a Swedish study finding that top-five-percent earners score marginally lower on intelligence than the tier beneath them has revived debate about what drives business success. Commentators argue highly intelligent people tend to rationalize, fear looking stupid, overestimate risk, and never feel they know enough, while action-takers win.
