Food & Beverage
Indexed performance data for Food & Beverages 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.
Food & Beverages Checkout Performance Index: May 2026
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.
May 2026: Food & Beverages Checkout Insights
Three signals worth acting on this month
Written for Food & Beverages operators. Every observation connects to a decision you can make this week.
Food & Beverages conversion returned to exactly baseline at 1.00x, recovering from March's first-ever below-baseline reading
March's 0.97x conversion was the first sub-baseline reading the Food & Beverages vertical had produced in twenty-one months of data. April's 1.00x brings the vertical back to the floor of its normal range, and while exactly baseline isn't a strong reading by this category's historical standards, it's a meaningful recovery from the prior month's anomaly.
The single-month dip in March followed by a return to baseline in April points strongly to a traffic-mix explanation rather than a structural checkout problem. March sits in a seasonal trough for Food & Beverages: the January resolution buyers have largely made their purchases, the spring gifting cycle hasn't fully activated, and brands often fill the gap with broader acquisition campaigns that bring in lower-intent traffic. April's recovery coincides with the spring demand cycle starting to turn -- grilling season, specialty food gifting, and subscription reactivation -- which naturally restores the high-commitment buyer mix that gives this vertical its structural conversion advantage.
What to do: If your own conversion dipped in March and recovered in April, the checkout is probably fine. The more useful analysis is whether your March new-buyer cohort converted at a lower rate and whether those buyers came back in April or churned. First-purchase conversion in Food & Beverages is heavily influenced by delivery promise and packaging quality signals at checkout. If the March traffic was colder and less brand-committed, those are the specific trust signals worth auditing.
AOV jumped to 1.22x in April, the highest reading since December 2024
Food & Beverages AOV has been running in a narrow band between 1.09x and 1.19x for most of the last six months. April's 1.22x reading is the highest the vertical has posted since the December 2024 peak of 1.28x, and it arrives alongside ARPC at 1.23x -- also a strong reading. Both metrics moving upward together in April reflects the spring demand cycle concentrating higher-intent, higher-basket buyers into the category.
Spring is a structurally important moment for Food & Beverages AOV. Grilling and outdoor entertaining purchases, specialty food gifting, subscription upgrades, and new product launches all tend to arrive with higher per-session value than the replenishment purchases that dominate Q1. The buyers entering the category in April aren't just restocking. They're building, and the checkout experiences that capture that intent -- bundle pricing, subscription commitment prompts, multi-unit savings framing -- are the ones producing the AOV lift.
What to do: If your April AOV tracked below the vertical's 1.22x reading while conversion was roughly in line, the issue is likely checkout mechanics rather than traffic mix. Pull your average order value distribution for April and check where it clusters. If a disproportionate share of orders is landing just below a natural bundle or subscription price point, you have a specific threshold to target. A "buy two, save 10%" prompt or a subscription offer at the right moment in the checkout flow can move a meaningful share of those orders to the next price tier.
Coupon usage edged up to 0.37x but remains the lowest reading of any vertical in this dataset
Food & Beverages coupon usage has been running at historic lows for over a year, and April's 0.37x -- up slightly from March's 0.32x -- doesn't change that story. The vertical runs at less than 40% of baseline coupon engagement, a level so far below every other vertical tracked here that it operates as a structural characteristic rather than a fluctuation.
The small uptick from March is consistent with minor spring promotional activity -- a new product launch code, a subscription referral campaign, an Earth Day offer -- but the magnitude is so small that it doesn't signal a shift in category behavior. Food & Beverages buyers are simply not code-motivated at the rates other categories are, and the data has confirmed that consistently for over a year.
What to do: Before activating a code-based campaign for May, model what the same promotional budget would produce as a free shipping threshold reduction, a bundle discount, or a subscription introductory offer. In a vertical where coupon engagement is 63% below baseline, code-driven campaigns are working against the grain of buyer behavior rather than with it.
How does your Food & Beverages 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.
Archive
Monthly archive: Food & Beverages
Every monthly dispatch, indexed and preserved. Use the archive to track how Food & Beverages checkout behavior has shifted over time, to validate whether seasonal patterns in your own data match the vertical.
May 2026 {{latest}}
CVR recovers to 1.00x after March's first below-baseline reading; AOV jumps to 1.22x, highest since December 2024; coupon usage edges up to 0.37x but remains near dataset low.
Conversion dips below baseline for first time at 0.97x; shipping revenue recovers to 1.34x; coupon usage hits series low at 0.32x.
Coupon usage at 0.32x, lowest reading in the dataset; conversion holds above baseline for twentieth consecutive month; shipping revenue continues post-holiday normalization.
Data begins June 2024 (baseline). Earlier dispatches available on request.
Methodology
About this dataset
The Food & Beverages dataset within the PDQ Checkout Benchmarks draws from aggregated, anonymized session data across food and beverage-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 Food & Beverages cohort spans packaged food, beverages, supplements, specialty grocery, and direct-to-consumer meal and snack brands.
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.
