The In-Store Returns Paradox: Why US Shoppers Are Choosing the Effortful Option

The Convenience Assumption That Shaped a Decade of Reverse Logistics

The convenience-equals-home-pickup assumption was rational when it was first made. eCommerce returns volume was growing faster than retailers could absorb it. Customer service complaints were dominated by return friction. Home pickup, particularly when bundled with the next outbound delivery, looked like the operational answer to a customer experience problem.

The infrastructure followed the assumption. Carriers built home pickup capability. Returns portals defaulted to schedule-a-pickup workflows. Reverse logistics partnerships were structured around residential reverse flows. Third-party logistics providers built service catalogues around home-collection convenience tiers. The customer experience narrative reinforced the architecture: that returns should be as frictionless as possible, that the closer the return process stayed to the customer’s home, the better the experience, and that anything else was a step backward.

By 2024-2025, US returns volume had crossed $850B annually, and reverse logistics had become a recognised category of operational spend. The architecture built on the convenience assumption was being scaled to industrial volume, with most major US retailers operating reverse logistics as a separate infrastructure track that paralleled their forward delivery operations.

The Q2 2026 consumer data suggests the architecture has been scaled against a preference that no longer holds, if it ever held in the form retailers assumed. The convenience assumption is not wrong as a directional principle. It is wrong about which channel consumers actually associate with convenience.

61% of Boomers, 53% of Gen Z, and 49% of Millennials all choose in-store drop-off above any other return option. 

What the Q2 2026 Data Actually Shows

Three findings from the survey deserve close attention because they upend the operational assumptions reverse logistics networks have been built around.

In-store drop-off is the dominant return preference across generations. 54% of all US consumers name in-store drop-off as their preferred return method. The preference is not concentrated in older shoppers expected to favour physical retail; it is shared across the generational spectrum. 61% of Boomers, 53% of Gen Z, and 49% of Millennials all choose in-store drop-off above any other return option. The eCommerce-native generation is choosing the physical option at almost the same rate as the generation that grew up with physical retail.

Price is not the deciding factor. Only 19% of consumers default to whichever return option is cheapest. The 54% who prefer in-store drop-off are not making that choice because it costs less or because retailers charge for home pickup. They are making it because the in-store option matches their actual definition of convenience.

The third-place options are revealing. Home pickup, locker drop-off, and PUDO partner returns all draw smaller preference shares than in-store. The reverse logistics infrastructure built around residential collection or carrier-managed home pickup is serving a minority of the preference distribution. The infrastructure built around third-party locker networks is serving an even smaller share.

The data does not say home pickup or locker returns should not exist. It says they should not be the primary architecture. The primary architecture should reflect the primary preference, and the primary preference is in-store drop-off across every generation surveyed.

Why Consumers Prefer the Effortful Option

The in-store preference looks counterintuitive only if convenience is defined narrowly as physical proximity. Once convenience is unpacked, the preference is consistent with how consumers actually experience the return process.

In-store drop-off offers immediate confirmation. A consumer who hands an item to a store associate sees the return acknowledged in front of them. A consumer who hands an item to a pickup driver waits for a confirmation that may arrive hours or days later. The certainty of immediate confirmation matters more to consumers than the labour of the trip.

In-store drop-off offers refund speed. Returns processed at the store often trigger refund initiation faster than returns collected from home, which have to travel back through the reverse logistics chain before refund processing begins. Given that 68% of US shoppers in the same survey say fast refund increases their likelihood of shopping with a retailer again, the refund-speed advantage of in-store returns is operationally consequential.

In-store drop-off bundles with other errands. A shopper returning an item often combines the return trip with other shopping, errands, or visits to nearby retailers. The marginal effort of the return trip is lower than the home pickup scheduling friction that home-collection requires. Pickup windows, schedule coordination, and rescheduling for missed pickups carry their own friction that home pickup advocates have historically discounted.

In-store drop-off avoids package handling concerns. Consumers reporting in-store preference often cite concerns about packaging the item correctly for carrier pickup, having a package sit at the doorstep waiting for collection, or coordinating the pickup against a work schedule. The store visit avoids all of those concerns.

The pattern is consistent: in-store drop-off is more effortful in terms of physical travel and less effortful in terms of operational coordination, package handling, refund waiting, and confirmation uncertainty. US consumers, in aggregate, are choosing operational simplicity over physical proximity. The decade-long architecture assumption inverted those weights.

68% of US shoppers say a fast refund alone makes them more likely to shop with a retailer again. 

What This Means for Reverse Logistics Network Design

Retail and eCommerce CX leaders evaluating reverse logistics networks against the Q2 2026 data face four specific architectural shifts. Each one moves the network away from the convenience-equals-home-pickup assumption and toward the in-store-as-primary-channel preference the data actually shows.

Treat in-store and partner drop-off as core return infrastructure, not as one option among several. Returns portals, checkout flows, and post-purchase communication should surface in-store and partner drop-off options as the default, with home pickup and locker returns positioned as alternatives for consumers whose situations require them. The architecture should reflect the preference distribution rather than carrier capability convenience.

Build localised drop-off density rather than centralised reverse logistics throughput. A reverse logistics network optimised for in-store drop-off prioritises proximity of drop-off points to consumer routines, not the throughput of centralised processing hubs. The network design question becomes how dense the drop-off footprint is across the customer base’s actual movement patterns, not how efficient the back-end consolidation is once items reach the reverse hub.

Connect in-store return events to refund triggers without back-end consolidation delay. If in-store drop-off advantages depend partly on refund speed, the architecture has to make that advantage real. Returns acknowledged at the store should initiate refund processing before items physically move through the reverse chain, with the back-end reconciliation handled separately from the consumer-facing refund timeline.

Treat partner drop-off networks as primary reverse infrastructure, not as supplementary channels. Third-party drop-off networks such as parcel shops, retail partners, and convenience store networks are part of the in-store preference distribution even when they are not the consumer’s primary retailer’s stores. The architecture that treats them as core rather than supplementary captures the preference rather than fighting it.

The four shifts are connected. A network designed around in-store dominance, localised density, refund-event coupling, and partner network integration produces returns experience that aligns with consumer preference. A network that retains the home-pickup-as-primary architecture continues to invest in capability the data shows consumers will use less than the alternatives.

The Returns Experience as Customer Retention Architecture

The deeper implication of the Q2 2026 data is what returns architecture actually does in the customer relationship. Returns have moved from being a customer service exception to being a customer retention lever, and the lever sits in the operational architecture rather than in the marketing or loyalty function.

The retailers who treat returns as a reverse logistics cost line will continue to design networks that minimise cost per return. The retailers who treat returns as customer experience infrastructure will design networks that maximise return experience quality relative to cost per return. The second optimisation produces different decisions than the first, and the consumer preference data suggests the second optimisation is the one that compounds.

The 54% in-store preference is not just a routing decision. It is a signal about how US consumers want to manage one of the most operationally consequential interactions retailers have with them after the purchase. The returns experience is among the highest-frequency post-purchase touchpoints retailers have, particularly for categories with elevated return rates (apparel, footwear, certain consumer electronics, furniture, and accessories). A returns experience that aligns with consumer preference produces retention compounding that the convenience-equals-home-pickup assumption does not produce.

For retail and eCommerce CX leaders evaluating reverse logistics architecture in 2026, the strategic question is concrete: does your reverse logistics network reflect how US consumers actually want to return items, or how a decade-old convenience assumption said they would? The architectural answer determines whether returns operations compound customer retention or quietly erode it across delivery volume.

The data shows the assumption needs revisiting. The architecture decisions follow.

FAQs

Why do 54% of US consumers prefer in-store returns over home pickup?

The Q2 2026 Locus US Consumer Survey found that 54% of US consumers name in-store drop-off as their preferred return method, with the preference holding across generations: 61% of Boomers, 53% of Gen Z, and 49% of Millennials. The preference reflects how consumers actually define convenience: immediate refund initiation, certainty of confirmation, ability to bundle with other errands, and avoidance of pickup scheduling friction. The decade-long assumption that convenience equals home pickup defined convenience narrowly as physical proximity, missing the operational simplicity advantages that in-store drop-off provides.

What does the Q2 2026 survey say about the role of price in return method choice?

Only 19% of US consumers default to whichever return option is cheapest, according to the Q2 2026 Locus US Consumer Survey. The 54% who prefer in-store drop-off are not making that choice because it is cheaper than alternatives. Price is not the deciding factor in return method choice for the majority of consumers; the deciding factors are confirmation certainty, refund speed, and operational simplicity.

What are the implications for reverse logistics network design?

Reverse logistics networks designed around the convenience-equals-home-pickup assumption serve a minority of the preference distribution. The Q2 2026 data suggests four architectural shifts: treating in-store and partner drop-off as core return infrastructure, building localised drop-off density rather than centralised throughput, connecting in-store return events to refund triggers without back-end consolidation delay, and treating partner drop-off networks as primary rather than supplementary infrastructure.

Does the in-store preference hold across all age groups?

Yes. The Q2 2026 Locus US Consumer Survey shows the in-store drop-off preference holding across the generational spectrum: 61% of Boomers, 53% of Gen Z, and 49% of Millennials name in-store drop-off as their preferred return method. The eCommerce-native generations are choosing the physical return option at almost the same rate as generations that grew up with physical retail. The preference is not generational, which means reverse logistics architecture cannot rely on generational replacement to shift preference toward home pickup or locker returns.

How is returns experience connected to customer retention?

The Q2 2026 Locus US Consumer Survey found that 68% of US shoppers say a fast refund alone makes them more likely to shop with a retailer again. Combined with the in-store preference data, the survey suggests returns experience is now a customer retention lever rather than a customer service exception. The retailers who design reverse logistics networks around how US consumers actually want to return items produce retention compounding that retailers retaining the convenience-equals-home-pickup architecture do not produce.

What should retail and eCommerce CX leaders evaluate in their current reverse logistics architecture?

Retail and eCommerce CX leaders should evaluate whether their current network reflects how US consumers actually want to return items or how the decade-old convenience-equals-home-pickup assumption said they would. Specific evaluation criteria include: the share of return volume routed through in-store and partner drop-off versus home pickup or locker channels, the density of drop-off points relative to customer movement patterns, the speed of refund initiation from in-store return events, and the integration depth of third-party drop-off networks as core rather than supplementary infrastructure.