Food & Beverages Checkout Performance Index | PDQ Checkout Benchmarks

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.

Food & Beverages Checkout Performance Index: July 2026

PDQ Checkout Benchmarks – By Industry

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.

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.
    • 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.

  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 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 a clear signal to redirect it.

  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.

    • 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.

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.

Monthly archive: Food & Beverages

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

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.