When Are People Most Likely to Buy Online? - SaleCycle (2024)

Using data from our upcoming 2023 Ecommerce Stats Report and the 2022 Ecommerce Stats Report, we look at traffic and significant buying patterns from online shoppers. We also suggest ways you can improve your conversion rate optimisation strategy.

2020 has set a certain amount of standards in ecommerce – of which we can still see the effects today in 2023. The pandemic changed the way we live our lives (including working habits) and is still impacting the global economy, which has had a direct impact on buying habits and online shopping behaviours.

For example, we can see that online consumers are purchasing earlier in the day, perhaps down to new working patterns like remote working and a change in the items that are being bought. For example online travel industry marketing statistics look very different in the space of 12 months.

Using a wealth of ecommerce data we compare previous yearly buying and online shopping behaviour with results from 2021 and 2022. We’ve been looking at how sales patterns change during the day, which days of the week are busiest online, and how sales trends look across the whole year.

Table of Contents

Peak Online Shopping Hours

In 2022 there are two peak hours for online shopping – the first happening at 10am, with a second peak in the evening at the 8pm mark. The evening peak is similar, if not the same, as previous years in ecommerce.

Sales volumes build from between 6am – 7am and remain at a consistent level after this 10am morning peak. Interestingly, in 2022, online buying has increased throughout the middle of the day (traditional working hours) and has slightly decreased in the evening compared to previous years.

Still, online sales broadly follow people’s daily patterns, with sales dipping overnight before beginning to build up from around 6am, and growing throughout the rest of the day – so this general trend rings true in most recent findings.

As of November 2022, 38% of workers in Great Britain advised that they had worked from home at some point in the previous seven days (according to a study by Statista). With more remote working becoming the norm since the covid-19 pandemic in 2020, we see an opportunity to become agile with marketing campaigns targeting morning shoppers. These new online buying habits such as the new online fashion retail trends that we see also look set to continue.

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Best Day of The Week for Online Sales

In 2020, SaleCycle data found Wednesday and Thursday saw the busiest retail days online for online sales with Saturday being the worst day of the week for online sales.

However in most recent findings, Monday has taken the lion’s share of online sales for the last two years in a row. Sunday currently bodes the lowest amount of online sales.

The weekend is certainly the quietest time for ecommerce activity, when people have more leisure time and therefore are less likely to be around a device on which they can shop.

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Monthly sales patterns are heavily influenced by pay dates, with the peak days for sales coming at the beginning and end of each month, when people are more likely to have money to spend.

Our 2019 data shows that online sales volume significantly increased between the 25th – 28th of the month. Again – we can attribute this to the impact of payday.

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Busiest Retail Months

Looking at sales trends across the calendar year, we can see the effect that big online sales events have on ecommerce sales volumes – as well as the effects of the cost of living crisis in ecommerce. We can see (in the graph below) that spending as a whole has decreased in 2022, most likely due to the extended after-effects of the covid-19 pandemic.

Looking at each month, January (a traditional period for post-Christmas discounting) produces a large sales peak at the beginning of the year, as shoppers go bargain hunting. With stock and sales periods time limited, it can encourage people to make faster decisions to buy.

November and December are the biggest two months of the year by some distance in terms of sales volumes. The biggest online sales events occur during this two month period. Singles’s Day, Black Friday and Cyber Monday and the Christmas shopping period all combine to make these the peak months for online retail. And as we can see below, Black Friday and Cyber Monday show enormous growth from 2019 into 2020.

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What Can Retailers Learn From Sales Patterns?

For retailers, knowing the busiest times of each day, week, month, or time of year can help to improve service, performance and build an optimised basket abandonment strategy.

These are general stats across several sectors of ecommerce, and of course some business types will experience different peaks. For example, florists may have their strongest sales periods around Valentines’ Day or Mothers’ Day.

Whenever peak periods fall, there’s a lot ecommerce sites can do to adapt.

Website & Marketing Best Practice For Peak Online Shopping Times

Knowing When to Provide Help to Customers

Our data shows that the evening is prime time for ecommerce sites, but this is also when many customer service departments are winding down or already closed until the following day.

To avoid lost sales, it may pay to provide help at this time, and around busy periods in general, when most customers are online, and may have questions about potential purchases.

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Planning Stock Levels

If retailers know when most sales occur, they can plan inventory around this data, so you don’t run out of stock during key sales periods.

Testing Sites for Performance

Busier periods, especially huge sales events like Black Friday, can test websites to the limit.

Load test to ensure that your site can handle traffic spikes. Even a slightly slower site can deter shoppers through poor usability.

Timing of Marketing Campaigns and New Products

Knowing when people are more likely to be buying can inform marketing activity. For example, it’s important to time the market because this allows you to increase your ROI. For example, busy periods is a prime entry for your cross-selling and upsell strategy to feature in your basket abandonment emails, likewise when you know there will be a greater digital footfall make sure you are ready to make the most of it.

For example, it may be wise to release new products or campaigns towards the end of the month around pay day when people are more likely to buy.

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Also, in periods that are traditionally quieter, marketing may need to work harder to drive customer interests and boost sales away from peak periods.

Know When to Plan Site Updates

Finally, if you’re redesigning a website, changing platforms, or carrying out some key updates, then knowing sales patterns can help you to do this when fewer customers will be affected.

For more on sales trends, along with a wealth of data on ecommerce, download our2022 Ecommerce Stats Report.

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Reviewed by Brad Ward
Written by Graham Charlton
— Updated on 11/05/2021

The concepts highlighted in the article revolve around understanding and leveraging e-commerce trends, online shopping behaviors, and strategies for conversion rate optimization (CRO) based on data from various sources. Let's break down the key concepts and elements within:

  1. E-commerce Trends Analysis: The article delves into the analysis of e-commerce trends using data from different periods, emphasizing the impact of the COVID-19 pandemic on consumer behavior. It tracks changes in purchasing patterns, identifying shifts in peak shopping hours, popular days for online sales, and the influence of events like Black Friday and Cyber Monday on sales volumes.

  2. Peak Online Shopping Hours: The article mentions the observation of peak hours for online shopping in 2022, highlighting two significant peaks at 10 am and 8 pm. It notes changes in shopping habits during traditional working hours and their relationship to remote working trends post-pandemic.

  3. Best Day of the Week for Online Sales: It contrasts previous findings with recent data, showcasing a shift in the most lucrative day for online sales from Wednesday and Thursday to Monday. It also highlights the weekends as quieter periods for e-commerce activities.

  4. Busiest Retail Months: The article analyzes the impact of big online sales events on e-commerce sales volumes, citing January (post-Christmas discounting) and the holiday season months (November and December) as significant peaks for online retail.

  5. Learning from Sales Patterns: It emphasizes the importance for retailers to leverage sales patterns for better service, performance optimization, and strategy development. This includes understanding peak times, planning stock levels, optimizing website performance, timing marketing campaigns, and knowing when to plan site updates.

  6. CRO Strategies: The article hints at a CRO Health Score meeting with experts to discuss improving conversion rate optimization strategies based on the data-driven insights derived from these patterns.

  7. Marketing Strategies and Customer Service: It touches on the significance of adjusting marketing strategies based on peak periods and aligning customer service availability with high online traffic times to prevent lost sales.

In my expertise, analyzing e-commerce trends involves a comprehensive understanding of consumer behavior, market fluctuations, and adapting strategies to maximize sales opportunities. Leveraging data-backed insights helps businesses optimize their operations and cater to evolving customer needs and preferences.

When Are People Most Likely to Buy Online? - SaleCycle (2024)
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