Webrooming

Webrooming (also called ROPO — Research Online, Purchase Offline) is the behaviour of browsing, comparing and researching products online and then completing the purchase in a physical store. It is the inverse of Showrooming (inspect in-store, buy online), and a core reason retailers invest in Store–Online Integration and Omnichannel Retail: the online channel influences a sale that ultimately lands offline, which standard ecommerce attribution misses.

Firewall: every claim below is what a source reports. See ../../CONTEXT.md Rule 1.

Prevalence (as-of 2026-06-27)

The freshest primary benchmark found:

• Salsify 2026 Consumer Research reports 67% of shoppers webroom (browse online, buy in store) and 53% showroom — the two behaviours coexist (Salsify, as-of 2026; n≈3,000 US/UK/ Canada shoppers; Salsify is a PIM/commerce vendor — mild COI).
• Profitero 2025 Digitally Influenced Shopper Report reports 64% of all retail sales are digitally influenced — shoppers engaged with online brand content before buying online or in-store — which it frames as "3× larger than the traditional eCommerce sales penetration figure" (Profitero, as-of 2025; n=4,000 across US/UK/Germany/Canada; digital-shelf vendor — mild COI).
• Profitero also reports nearly 1 in 2 (≈50%) of consumers who typically shop in-store prefer to research products online first (Profitero, as-of 2025).

Why shoppers webroom

Adyen 2025 quantifies the in-store pull for shoppers who researched online: they go to the store to see and feel the product (47%), try items on (42%), and walk out with the product immediately (34%) (Adyen Retail Report / Adyen Index, as-of 2025; payments vendor — COI noted). For fashion specifically, sources attribute webrooming to wanting to try on / see and feel garments and to avoid mail-return hassle — the same drivers Adyen quantifies.

[!unverified] Aggregator-summarised (undated, stale-risk) motivations: find the lowest price (75%), compare products (72%), research before buying (71%) (ReadyCloud — use directionally only).

How retailers operationalise / capture it

• The commercial case: Adyen 2025 reports omnichannel shoppers spend twice as often as single-channel shoppers and ~30% more per purchase (Adyen, as-of 2025).
• The capability gap: only 42% of retailers currently let customers shop and transact easily across online and offline channels, with a further 18% planning to within 12 months (Adyen, as-of 2025). The consistent failure mode is the same Store–Online Integration glue — Order Management System (OMS), global inventory visibility, single customer view.
• BOPIS as routine: McKinsey reports more than one-third of Americans have made omnichannel features such as buy-online-pickup-in-store (Click and Collect|BOPIS) part of their regular routine, with ~two-thirds intending to continue (McKinsey "Omnichannel shopping in 2030" — undated landmark; treat as framing, not a fresh stat).

Measurement / attribution — and its difficulty

ROPO's defining problem is that the research happens online but the purchase lands offline, so standard ecommerce attribution under-counts the online channel's contribution.

• InternetRetailing (2024–2025) frames omnichannel attribution as a "perennial retail media challenge": retail media networks struggle to show full shopper-journey insight when research is online and purchase is in-store.
• The reported practical fix is data integration — e.g. Boots with Criteo and LiveRamp connecting datasets to track whether shoppers researched online before buying in-store, using flexible attribution windows (up to 30 days). An initial result showed a 22% uplift in ROAS when online and offline sales data were integrated (InternetRetailing, as-of 2024–2025; vendor case study, single retailer — treat the 22% as illustrative, not a benchmark).
• Profitero frames the halo commercially: for every $1 spent online from retail media campaigns, $7–$11 was spent offline in stores (Profitero, as-of 2025; vendor-sourced).
• Think with Google (Germany) documents Google Store Visits as a method retailers (e.g. Berliner Sparkasse, Görtz) use to make the ROPO effect measurable by linking online ad exposure to subsequent store visits (date unconfirmed — stale-risk, low confidence).

Sector differences

• Shopify (2024) frames webrooming as most beneficial for high-ticket, high-consideration durables — electronics, appliances, furniture, apparel — while consumables (grocery, medicine) are bought in person.
• Grocery shows a distinct "list-building" webrooming pattern — shoppers use the supermarket app for promotions/lists, then pick items in store — versus high-ticket comparison-shopping webrooming (Shopify, 2024).

[!unverified] Aggregator category split (undated, almost certainly recycled pre-2022 Retail Perceptions data): appliances 58% of purchases, electronics 54%, apparel 49% (ReadyCloud — do not present as current).

Contradictions

Open gaps

No single fresh (2024–2026) primary figure isolates "% of total in-store sales attributable to prior online research" — the closest are Profitero's 64% digitally-influenced (all channels) and the undated Think with Google ≈88% in-store figure. No fresh Europe-fashion-specific ROPO prevalence figure was found (UNIQLO-relevant). Salsify and Profitero headline numbers sit behind gated landing pages — exact per-category breakdowns and publication dates should be verified against the source PDFs before deeper reuse.

Key terms

Term	Meaning
Webrooming	Research online, buy in a physical store (= ROPO)
ROPO	Research Online, Purchase Offline — synonym for webrooming
Showrooming	Inspect in-store, buy online — the inverse behaviour
ROPES	Research Online, Purchase Elsewhere/in-Store — extended framing used in retail media
Digitally-influenced sales	Sales (online or offline) preceded by an online brand touchpoint
Store Visits	Ad-platform measurement linking online ad exposure to subsequent physical visits