Part ofConversion Rate

Conversion Rate by Day of Week and Hour Benchmarks

Metricuno
November 1, 2026
7 min read
Conversion Rate by Day of Week and Hour Benchmarks — Ecommerce conversion rate by day of week and hour, with figures from Oribi, SaleCycle, Adobe and Omnisend. Use them to time promos and emails and to set A/B test length.
Quick answer

Online conversion rates peak early in the week and dip about 16% at weekends. Sales cluster in the evening, between 8pm and 10pm. Here are the sourced day, hour, device and email-timing figures, and what they mean for promotions and A/B test duration.

Definition
Conversion benchmarks

Conversion Rate by Day of Week and Hour

How a store's purchase conversion rate and traffic change across the seven days of the week and the 24 hours of the day.

Conversion rate by day of week and hour breaks your conversion rate (orders divided by sessions) into time-based segments. It shows when visitors are most likely to buy, as well as when they simply visit. Most published datasets agree that early-week days convert better than weekends. They also agree that order volume builds through the afternoon and peaks in the evening, when mobile's share of traffic is highest. The pattern matters for three operating decisions. It tells you when to launch promotions, when to schedule email and SMS, and how long an A/B test has to run before day-of-week swings stop skewing the result.

Also known as
Dayparting conversion rate
Time-of-day conversion rate
Hourly conversion rate
Conversion rate heatmap

The best-known day-of-week split comes from Oribi's 2020 ecommerce benchmark. Tuesday converted at about 2.5% and Monday at 2.25%, against a 2.2% overall average. Conversion fell as the week went on and hit 2.1% at weekends. Traffic followed the same curve, so Monday and Tuesday produced the most orders.

Sales-volume data from SaleCycle points the same way, but its peak day has shifted over time. Thursday was the strongest sales day in 2019 and across the five years before. In 2021, Monday overtook Thursday, and Saturday stayed among the weakest days.

Benchmark

Ecommerce conversion and sales by day of week: published findings

Source (data year)MetricStrongest dayWeakest dayHeadline figure
Oribi (2020)Visit-to-purchase conversion rateTuesdaySaturday / Sunday2.5% Tue vs 2.1% weekend (2.2% avg)
Oribi (2020)Visit-to-purchase conversion rateMonday (2nd)-2.25%
SaleCycle (2019)Share of weekly sales volumeThursdaySaturdayAbout 3M more purchases on Thursday than Saturday
SaleCycle (2021)Share of weekly sales volumeMondaySaturdayMonday overtook Thursday for the first time in 5 years
SaleCycle (2019)Cart abandonment volume-Saturday (lowest), then SundayWeekends have the fewest abandonments and the fewest sessions
Omnisend (2026)Email-driven conversion rateFriday-Friday 7am send had the highest conversion rate
Sources: Oribi 2020 eCommerce Benchmark Report; SaleCycle Ecommerce Stats Report 2020 (2019 client data); SaleCycle 2022 Ecommerce Stats and Trends Report (2021 data, 8.4bn customer journeys); Omnisend email send-time research, 2026 (approx. 26bn emails).

The weekday-to-weekend gap is real, but it's modest: 2.5% against 2.1% means Tuesday converts about 19% better than Saturday or Sunday. In Oribi's data, most of the weekend drop in orders came from less traffic, not worse conversion. Check this in your own data before you cut weekend ad budgets.

Chart

Ecommerce conversion rate by day segment

0%0.5%1%1.5%2%2.5%MondayTuesdayWeekly averageSaturday-SundayVisit-to-purchase conversion rateDay segment
Source: Oribi 2020 eCommerce Benchmark Report

Conversion and traffic by hour of day and device

Across the hourly studies, the evening is the most-cited peak. SaleCycle's 2020 report found sales start building from 7am, stay high from 3pm, peak between 8pm and 9pm, and fall away after 10pm. Adobe saw the same on Cyber Monday 2025: shoppers spent $16 million a minute between 8pm and 10pm, on a $14.25 billion day.

Device mix changes through the day too. Verto Analytics found PCs held 63% of shopping time in the morning working hours. Mobile's share peaked at 43% between 6-7am and between 9-10pm, and tablets reached 21% between 6-7pm, almost double their 11% daily average. That matters because Oribi measured desktop converting at 2.7% against 1.9% on mobile.

Not every dataset agrees. ClickPost's 2026 analysis of more than 1.1 million US orders found 36% of daily transactions landed between 11am and 3pm, with 1pm as the peak. In that data, 6-11pm took less than 20% of orders. ClickPost is a logistics platform, so its sample probably leans toward categories that people buy during work hours.

Benchmark

Ecommerce activity by hour of day and device: published findings

Source (year)What was measuredPeak windowKey figure
SaleCycle (2020)Online sales volume by hour8pm-9pmHigh from 3pm; drops after 10pm
Adobe (2025)US online spend, Cyber Monday8pm-10pm$16M spent per minute; 57.5% of sales on mobile
Adobe (2021)US online spend, Cyber Monday11pm-12am ET (8-9pm PT)$12M spent per minute
Verto Analytics (2021)Shopping time share, mobile6-7am and 9-10pm43% mobile share at both peaks
Verto Analytics (2021)Shopping time share, PCMorning working hours63% PC share
Verto Analytics (2021)Shopping time share, tablet6-7pm21% vs 11% daily average
ClickPost (2026)Order activity index (100 = average)11am-3pm (peak 1pm)1pm = 151; noon = 142; 10am = 103; 5am = 22
Oribi (2020)Conversion rate by device-Desktop 2.7% vs mobile 1.9%
Sources: SaleCycle Ecommerce Stats Report 2020; Adobe Digital Economy Index, Cyber Monday 2021 and 2025; Verto Analytics via InternetRetailing (2021); ClickPost hourly order analysis, 2026 (1.1M US orders); Oribi 2020.

Mobile's share keeps rising, which moves the evening peak further toward phones. On Cyber Monday, Adobe measured mobile at 57.5% of online sales in 2025, up from 41.4% in 2020. SaleCycle's client data put mobile at 53% of sales in 2019 and 56% in 2021.

Email and SMS send times by day and hour

Email timing data mostly backs up the early-week pattern for engagement, though purchases from email follow a different curve. Omnisend's 2026 dataset of roughly 26 billion emails found Tuesday had the best open rate (31.27%) and the best click-to-sent rate (0.81%). Friday had the highest conversion rate, and Friday at 7am was the best single slot.

Brevo's analysis puts the best ecommerce slot at Tuesday or Thursday, 10am. Klaviyo's 2025 online shopping report found consumers most likely to engage with brands by email, SMS and WhatsApp in the morning. Klaviyo's data science team also warns that past send performance alone doesn't reliably tell you the best send day.

Benchmark

Best email send times for ecommerce: published findings

Source (year)Best for opensBest for clicksBest for orders
Omnisend (2026)Tuesday (31.27%)Tuesday (0.81% click-to-sent)Friday; Friday 7am top slot
Omnisend (day of month)10th and 24th2nd and 26th1st and 30th/31st
Brevo (2025), ecommerceTuesday or Thursday, 10am--
Klaviyo (2025)Morning engagement strongest across email, SMS, WhatsApp--
Klaviyo (2023)Best day varies by verticalVaries by verticalUse Smart Send Time testing per brand
Sources: Omnisend send-time research, 2026 (approx. 26bn emails) and day-of-month data; Brevo send-time analysis via Shopify, 2025; Klaviyo 2025 Online Shopping Report; Klaviyo send-day analysis, 2023 campaign data.

Morning sends and evening purchase peaks fit together. An 8-10am email gets opened on mobile during the commute, and many of those readers come back to buy in the evening. If you only judge a campaign on opens in the first two hours, you'll undervalue it.

Payday affects timing too. SaleCycle found the 29th was the busiest day of the month in 2019 and the 26th in 2021. Omnisend's email conversions peaked on the 1st and the last day of the month, so plan monthly promotions around the end of the month.

What the patterns mean for A/B test duration and promotions

For experimentation, the most important point is how big the day-of-week swing is. In Oribi's data, Tuesday converts about 19% better than the weekend. If a test starts Monday and you read it Thursday, the sample is mostly high-intent weekday traffic, and the uplift won't hold at weekends.

Run every test in whole weeks, with at least two full weekly cycles, even if your significance calculator says you're done sooner. Start and stop at the same hour on the same weekday, so neither variant gets an extra evening peak. Report the result separately for weekday and weekend traffic, and for mobile and desktop.

Don't stop a test mid-week

If you stop a test on day 4 because it reached 95% significance, you've measured a weekday-only audience. Weekend shoppers browse more, use more mobile and convert at about 2.1% against 2.5% on Tuesdays (Oribi). Changes aimed at hesitant buyers can look different in that traffic. Run tests for whole weeks, start and stop at the same hour, and check the result for weekdays and weekends separately before you ship.

For promotions, a launch in the 6-8pm window lands just before the 8-10pm buying peak, so the offer is live when mobile traffic is highest. Your checkout has to hold up on mobile at that hour. Live chat or support that's closed by 6pm misses the hours when most orders happen.

These figures are cross-store averages from mostly US and UK retailers. Before you act on them, build your own day, hour and device heatmap, ideally from 12+ months of history so seasonality and payday cycles show up. Importing your historical GA4 data gives you that view immediately, so you don't have to collect new data for a year first.

Frequently asked

Conversion rate by day and hour: FAQ

In Oribi's 2020 benchmark, Tuesday converted best at about 2.5%, followed by Monday at 2.25%, against a 2.2% average. SaleCycle's sales-volume data named Thursday the top day in 2019 and Monday in 2021. Across studies, early-to-mid week beats the weekend.

Most studies put the peak in the evening. SaleCycle found sales peak between 8pm and 9pm, and Adobe recorded peak Cyber Monday 2025 spending between 8pm and 10pm. A 2026 ClickPost analysis found a lunchtime peak (11am-3pm), so check your own store's hourly data.

Slightly. Oribi measured 2.1% at weekends against 2.5% on Tuesdays, about a 16% drop. Most of the weekend dip in orders comes from lower traffic, not a collapse in conversion rate.

Desktop dominates morning working hours (63% of shopping time in Verto Analytics' data). Mobile's share peaks early in the morning and late in the evening at around 43%, and tablets peak at 6-7pm. Desktop converts better (2.7% vs 1.9% in Oribi's data), so your blended conversion rate drops in the hours when mobile's share is highest.

Run it for at least two full weeks, in whole-week multiples, and start and stop at the same hour on the same weekday. That way both variants see the same mix of weekday, weekend, morning and evening traffic. Stopping as soon as a test reaches significance mid-week overweights high-converting weekday traffic.

Omnisend's 2026 data shows Tuesday is best for opens and clicks, and Friday is best for conversions, with Friday at 7am the top slot. Brevo recommends Tuesday or Thursday at 10am for ecommerce. Treat these as starting points and test your own send times with Klaviyo's Smart Send Time or split sends.

Launch about 1-2 hours before the 8-10pm buying peak, early in the week. Avoid Saturday-only launches, which hit the lowest-traffic day. End-of-month launches also benefit from payday, which SaleCycle found drives the busiest days of the month (the 26th to 29th).

Not by default. Lower weekend conversion mostly reflects lower traffic, and late-evening mobile sessions often lead to purchases later. Check conversion by hour and device in your own data and use an attribution window that covers the time between first visit and purchase before you cut budget by time of day.

Your overall conversion rate is a weekly or monthly average. Breaking it down by day and hour shows the variation that average hides. Two stores with the same 2.2% average can have very different peaks, and that changes how they should staff support, schedule sends and run tests.

In GA4, create an exploration with Day of week and Hour as dimensions, sessions and purchases as metrics, and device category as a breakdown. Use at least 12 weeks of data, or 12 months if you want to see seasonality and payday effects. Shopify Analytics shows sessions and orders by hour but gives less device-level detail.

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