Membership Programs Are Not Being Used to Reduce Return Rates

The average ecommerce return rate sits between 20 and 30%, according to multiple industry sources, with apparel and footwear categories running even higher. The cost of processing those returns, restocking items, and writing off products that cannot be resold represents one of the most significant margin drains in DTC ecommerce. Most brands address it through policy changes, restocking fees, or longer evaluation periods.

Almost no Shopify Plus brand has asked whether its membership program is affecting that rate, and if so, by how much and in which direction.

The relationship is not obvious. A member who buys more often might also return more often, simply by volume. But a member who has built a genuine relationship with the brand, who has ordered enough times to understand the sizing, the fit, and the quality of specific product lines, is also a customer who buys more selectively. The impulse purchase that gets returned after two days in the home is less common among customers who have been ordering from a brand for fourteen months.

The Research Suggests a Real but Complex Relationship

Analysis of loyalty tier and return rate data published in recent ecommerce research found that the highest loyalty tier members, in some categories, show the lowest return rates among all customer segments, including customers with no loyalty tier. The pattern was attributed to higher purchase selectivity: top-tier members buy fewer items they are uncertain about because their familiarity with the brand and its products makes them more accurate in predicting what will work for them before committing.

This is not a universal finding. In some categories and some tier structures, higher-tier members also return more frequently simply because they order more. The specific relationship depends on category, program design, and how the membership shapes purchase behavior over time. The point is not that membership always reduces returns. It is that the relationship between membership and return rate is measurable, consequential, and almost never measured.

The Most Relevant Population Is Long-Tenure Members

The return rate benefit of membership, where it exists, is concentrated in longer-tenure members rather than recent joiners. A member in their second month is still figuring out sizing and product quality. A member in their twelfth month has enough experience to buy with higher accuracy.

Research from NRF on the 2025 retail returns landscape found that online returns are projected at 19.3% of online sales, with the processing cost per return ranging from $15 to $30 depending on the category. For a brand with significant membership volume, a 2 to 3 percentage point difference in return rate between members and non-members translates into a meaningful dollar figure at scale, and that calculation has almost certainly never been run.

Running it requires one query: compare the return rate for orders placed by members versus orders placed by non-members, then segment members by tenure to see whether the rate changes over time in the membership. Most brands have all the data required to answer this question and have never asked it.

Returns Policy as a Membership Perk Also Works Differently Than Expected

Some membership programs offer extended returns as a perk, which creates a different kind of return behavior than a standard policy. A member who knows they have thirty days instead of fourteen to return an item may actually buy with less anxiety rather than more, because the extended window reduces the pressure to make a perfect decision in the first evaluation period. The result is sometimes lower returns rather than higher, because the purchase was made with more confidence.

Subscribfy's own merchant data shows member LTV running 115% higher than non-members at twelve months and order frequency running 10 to 25% higher. That behavioral profile, more orders, longer relationship, deeper category familiarity, is exactly the profile associated with lower return rates in the research. Whether your specific program is producing that effect is a question your data can answer.

If your operations team and your membership team have never compared return rates between the two customer populations, a meaningful margin lever may be sitting unmeasured in data both teams already have.

Subscribfy helps Shopify Plus brands connect membership behavioral data to operational metrics like return rates so the full commercial impact of the program is measured rather than assumed. See how at subscribfy.ai.