Competitive Traffic Analysis — Nespresso (US)
A sample intelligence briefing built from the Datos consumer behavior panel: what your site visitors do across the rest of the web.
Cohort: US panelists observed on nespresso.com
Window: Jun 17 – Jul 12, 2026 (28 days)
All values are shares or indexed — no personal data
Exhibit 1 · Competitive Cross-Shop
Where your visitors also shop for coffee
Your audience overlaps premium espresso — Illy indexes 2.6× higher than Keurig — and machine partners De’Longhi and Breville each out-attract the pod rival. The competitive set your visitors act on is not the one most category maps assume.
Share of Nespresso site visitors who also visited each brand’s site in the same 28 days, indexed to the highest-overlap brand (Starbucks = 100).
Exhibit 2 · Marketplace Cross-Shop
Your own visitors, shopping your brand on marketplaces
About 1 in 8 nespresso.com visitors also viewed Nespresso-branded listings on Amazon within the same 28 days — and nearly as many browsed the wider coffee category there. Marketplace leakage is not a hypothesis; it is observable, per cohort, per week.
Viewed Nespresso-branded pages (% of cohort)
Viewed generic coffee / espresso pages (% of cohort)
Exhibit 3 · Acquisition Mix
How visitors arrive
Two-thirds of referred arrivals come through search and one in nine through email — and AI assistants now drive measurable referral volume, a channel that did not exist two years ago and that most attribution stacks cannot see.
Search (Google, Bing, DDG)
66.2%
Email (Gmail, Yahoo)
10.8%
AI assistants (ChatGPT)
0.6%
Share of referred nespresso.com visits by referrer domain; internal and CDN referrers excluded. Remainder distributed across long-tail sources.
Exhibit 4 · Demand Language
The words your demand actually uses
Vertuo dominates branded search — five of the top eight branded terms name the platform. A visible maintenance-and-accessory tail (descaling, pod holders) signals an installed base ready for attach, and “promo code” puts a number on price-seeking.
Branded search terms by volume among the cohort, indexed to the head term (“nespresso” = 100). Navigational terms excluded.
This is a sample
One 28-day window. Four behaviors. The panel measures dozens.
- Which competitor actually wins your cross-shoppers — and in what sequence they defect
- Day-level trend, campaign lift, and geo splits across every market you sell in
- Path-to-purchase: search → review → marketplace → checkout, step by step
- Audience overlap against any brand list you define — measured, not modeled
- 24+ months of history for seasonality and share-shift baselines
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