Live
Updated monthly
July 2026 data now live
Live

Food & Beverage

Checkout Benchmarks

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.

Compare your Food & Beverages store

Food & Beverages Checkout Performance Index: July 2026

https://checkoutindex.prettydamnquick.com/pdq-widget-food-july2026.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.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
No account required. No app install. Results in under 90 seconds.

Shopify checkout benchmarks by vertical

Checkout behavior varies by category more than most merchants expect. Select your vertical for a full analysis.

July 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.

1

Food & Beverages shipping revenue surged to 1.50x in June, its highest reading since April 2025 and a 19-point jump from May

Food & Beverages shipping revenue has been one of the most volatile series in this dataset, ranging from 2.61x at the December 2024 peak to 1.17x at the February 2026 low. June's reading of 1.50x is the strongest the vertical has posted in fourteen months, and the 19-point jump from May's 1.31x is the largest single-month gain the series has produced in 2026.

The driver is almost certainly the summer specialty food and beverage season. June is when food and beverage DTC brands see their strongest demand for premium perishables, artisan products, and specialty ingredients for summer entertaining. These are product categories with inherently higher shipping requirements -- temperature control, faster delivery windows, specialty packaging -- that carry real shipping costs buyers willingly absorb. A buyer ordering specialty charcuterie or artisan hot sauce for a Fourth of July gathering is not abandoning over a $12 shipping fee. The June data confirms that buyers in this category in this season are paying for shipping at rates the vertical hasn't seen since spring 2025.

What to do: If your Food & Beverages shipping revenue didn't recover in June while the vertical posted 1.50x, the gap is almost certainly in how you're presenting shipping options. Premium and expedited tiers with specific delivery dates -- "arrives by June 28" rather than "2 to 3 business days" -- convert at meaningfully higher rates for summer entertaining purchases because the buyer has a specific event horizon. If you're only presenting standard delivery, you're leaving expedited revenue on the table in the season where buyers are most willing to pay for it.

2

Coupon usage fell to 0.31x in June, a new series low for the vertical and the lowest reading of any category in this dataset

Food & Beverages coupon usage has been at or near the floor of its historical range for most of 2026, and June's reading of 0.31x sets a new series low. The vertical is now running at less than a third of baseline coupon engagement -- the most structurally detached from code-based purchasing of any category tracked in this dataset, and pulling further away from baseline each month.

The June reading also arrives in a month when Apparel was running at 0.96x and Cosmetics at 0.81x. The gap between Food & Beverages and every other vertical on coupon engagement is now 50 points or more in most cases. This isn't a brand-level outcome -- it's a category-level behavioral characteristic. Food & Beverages buyers do not arrive at checkout with a code, and they do not leave without completing because they couldn't find one. The decision is made before they enter the funnel.

What to do: If you're allocating any meaningful promotional budget to discount codes in Food & Beverages, June's 0.31x is the clearest possible signal to redirect it. The buyers are converting without the code. The promotional mechanics that move this category are delivery-experience signals -- specific arrival dates, freshness guarantees, specialty packaging callouts -- and subscription value framing that makes a recurring commitment feel like the obvious choice. Put the discount budget into one of those instead.

3

AOV held at 1.25x in June, sustaining the spring demand momentum for a third consecutive strong month

Food & Beverages AOV has now held above 1.19x for four consecutive months: 1.19x in March, 1.22x in April, 1.26x in May, 1.25x in June. That's the most consistent run of elevated AOV the vertical has produced in 2026, and it confirms that the spring and early summer demand cycle is sustaining basket sizes rather than peaking and reverting.

June's 1.25x reading arrives alongside the shipping revenue surge to 1.50x, a combination that means buyers in June were both spending more on product and paying more for shipping in the same checkout session. That's a high-revenue-per-session outcome that reflects the specialty and premium nature of summer food and beverage purchasing. The buyer building a specialty entertaining basket in June is spending above average on both dimensions.

What to do: If your AOV has held near the vertical's 1.25x in recent months, June is the moment to test whether a bundle or case-pricing offer can push it higher. The summer entertaining buyer is already spending at an elevated rate and has a clear use-case frame -- building for an event or a season, not just replenishing. A "summer entertaining bundle" or a "case of 12, save 15%" offer at checkout gives that buyer a specific and rational reason to increase the order, and the category's low coupon sensitivity means the incremental margin stays intact.

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.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
No account required. No app install. Results in under 90 seconds.

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.

July 2026 {{latest}}

Shipping revenue surges to 1.50x, highest reading since April 2025; coupon usage hits series low at 0.31x; AOV holds at 1.25x for fourth consecutive elevated month.

June 2026

AOV at 1.26x, strongest reading since December 2024; conversion holds at 1.00x for second consecutive month; coupon usage falls back to 0.35x after April uptick.

May 2026

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.

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.