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Consumer Goods

Checkout Benchmarks

Indexed performance data for Consumer Goods brands on Shopify: conversion rate, AOV, free shipping behavior, and shipping revenue, tracked against a consistent baseline month over month.

Part of the PDQ Checkout Benchmarks: 130M+ checkout sessions across 500+ Shopify merchants, indexed to June 2024 = 1.0x.

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Consumer Goods Checkout Performance Index: May 2026

https://checkoutindex.prettydamnquick.com/widget-consumer-may2026.html

An index of 1.15x means that metric is 15% above baseline. 0.92x means it's 8% below. We publish relative change rather than absolute numbers because absolute rates vary too much by merchant size and category to be meaningful as cross-merchant benchmarks.

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May 2026: Consumer Goods Checkout Insights

Three signals worth acting on this month

Written for Consumer Goods operators. Every observation connects to a decision you can make this week.

1

Consumer Goods ARPC pulled back to 1.56x and AOV to 1.48x in April. Still extraordinary. Still worth examining.

February's 1.80x ARPC was the highest reading of any vertical in this dataset. March was 1.69x. April came in at 1.56x -- a third consecutive monthly decline, but a level that remains well above anything the vertical had produced before the January 2026 surge. AOV at 1.48x follows the same gradual step-down pattern: 1.64x in February, 1.59x in March, 1.48x in April.

This is not a collapse. It's a controlled normalization from a peak that was itself historically anomalous. The Consumer Goods buyer cycle that concentrated in Q1 -- tax refund season, home improvement planning, winter appliance and equipment decisions -- is winding down naturally as spring settles in. The buyers who drove the February peak were making major purchases. April's buyers are still spending substantially above the June 2024 baseline, but the mix is shifting toward mid-ticket rather than high-ticket items.

What makes April's normalization different from a crisis reading is the conversion data. CVR held at 1.05x in April, above baseline and consistent with the prior month. Buyers are still arriving and completing at healthy rates. The revenue per session is declining because basket sizes are normalizing, not because checkout friction is increasing or buyer intent is weakening.

What to do: If your ARPC and AOV have been declining since February, resist the temptation to react with checkout changes designed for a different problem. The normalization is demand-side, not checkout-side. The more productive investment for May is making sure your checkout infrastructure -- delivery date accuracy, returns confidence, subscription and loyalty mechanics -- is positioned to retain the Q1 buyers who made high-ticket purchases and could be returning in May for complementary or replacement items.

2

Shipping revenue held at 1.70x, the most elevated reading of any vertical in the dataset. The category's shipping premium is structural.

Consumer Goods shipping revenue has been running well above baseline for the entire dataset, and April's 1.70x reading -- down slightly from March's 1.74x -- is consistent with the gradual normalization pattern across all revenue metrics this month. The vertical still produces shipping revenue at nearly double the all-industry rate, a gap that reflects the category's fundamental product characteristics: heavier items, higher-value purchases, and a buyer who is less price-sensitive on shipping because the base transaction is already a meaningful commitment.

The April reading also highlights a structural dynamic that distinguishes Consumer Goods from every other vertical: the category has maintained elevated shipping revenue even as the free shipping rate has been ticking upward. April's free shipping rate came in at 0.83x, still below baseline, while shipping revenue sat at 1.70x. That combination means Consumer Goods brands are generating substantial shipping revenue from orders that don't qualify for free shipping, and the buyers on those orders are completing anyway.

What to do: If you've been considering expanding free shipping in Consumer Goods in response to competitive pressure or conversion softness, April's data is a useful check. The category's buyers are completing at 1.05x conversion while still paying for shipping on the majority of orders. Before lowering your threshold, measure your current conversion rate among orders that paid shipping versus those that didn't. If the paid-shipping conversion rate is within 3 to 4 percentage points of your free-shipping conversion rate, your threshold is positioned correctly and expanding eligibility will cost margin without a meaningful return.

3

Coupon usage edged up to 0.68x, its second consecutive monthly increase after the January floor

Consumer Goods coupon usage hit a low of 0.49x in February 2026 and has been gradually climbing since: 0.62x in March, 0.68x in April. Two months of consecutive increases in a vertical that has historically run well below baseline on coupon engagement is worth tracking, even if the absolute level is still meaningfully below baseline.

The gradual uptick is most likely driven by spring promotional campaigns tied to home improvement, outdoor equipment, and spring cleaning categories within the broader Consumer Goods cohort. These are product areas with established spring promotional rhythms, and April is when those campaigns typically activate. A reading of 0.68x is still 32 points below baseline, so this is not a vertical that's becoming code-driven. But it is a vertical where some categories are reintroducing promotional mechanics after a quiet Q1.

What to do: If you're planning a May promotional campaign in Consumer Goods, test non-code value mechanics before reaching for a percentage-off code. Extended warranty offers, free accessory with purchase, or premium shipping upgrades at no additional cost all deliver value at checkout without the margin cost of a blanket discount. These mechanics also reinforce the high-consideration purchase decision rather than undercutting it with a last-minute price reduction.

How does your Consumer Goods store's checkout compare?

Checkout Index tells you where your store sits inside this vertical: personalized Health Score, shipping signal analysis, and a revenue impact estimate based on your actual checkout behavior.

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Archive

Monthly archive: Consumer Goods

Every monthly dispatch, indexed and preserved. Use the archive to track how Consumer Goods checkout behavior has shifted over time, to validate whether seasonal patterns in your own data match the vertical.

May 2026 {{latest}}

ARPC pulls back to 1.56x and AOV to 1.48x, continuing controlled normalization from February peak; shipping revenue holds at 1.70x; conversion steady at 1.05x.

April 2026

ARPC pulls back to 1.69x from February's 1.80x peak; AOV holds at 1.59x; free shipping rate reaches 0.81x, highest in over a year.

March 2026

ARPC hits 1.80x, highest reading of any vertical in the dataset; AOV reaches 1.64x series high; conversion holds above baseline at 1.09x.

Data begins June 2024 (baseline). Earlier dispatches available on request.

Methodology

About this dataset

The Consumer Goods dataset within the PDQ Checkout Benchmarks draws from aggregated, anonymized session data across consumer goods-categorized merchants on Shopify's platform. Merchants are classified using Shopify's standard industry taxonomy and must meet a minimum session threshold for inclusion. The Consumer Goods cohort spans home goods, appliances, outdoor and sporting equipment, personal care devices, hardware, and general household products.

All figures are indexed to June 2024 = 1.0x. Figures exclude bot traffic, draft orders, and point-of-sale transactions. Data refreshes monthly, typically in the first week, reflecting the prior month's activity. Absolute conversion rates are not published; all metrics represent relative indexed change against the baseline cohort.

To compare your store's actual performance against this vertical, use Checkout Index.