Amazon Sales Trends: Day of the Week Performance Analysis
Identifying and capitalizing on sales trends to help sellers stand out from the competition
Which day of the week do we tend to see the highest sales on Amazon?
UPDATED April 2023
Selling on Amazon continues to get more competitive, so identifying and capitalizing on sales trends can help you stand out from the competition.
Since we aggregate data throughout multiple markets and products, we’re able to see wide-ranging trends that we can apply down to the account level. This allows us to adjust bids and/or budgets to be more aggressive on the days where conversion rate is most likely higher. If you spend more when shoppers are more likely to convert, you’ll likely net higher sales and lower ACoS.
One of the trends that we track is shopping habits and how the day of the week performance impacts key metrics. Understanding the shopping trends of your customers and optimizing your campaigns to match with how your sales fluctuate throughout the week can help make a huge difference.
What is the busiest day of the week for sales on Amazon?
While each customer is unique on the Amazon platform, we see trends in our client’s accounts in overall sales and conversion rates. Recent studies of online shopping like that found on Oribi indicate that Monday and Tuesday are the busiest days for online sales – with Tuesday being the strongest.
Intuitively, this makes sense, right? People enjoy their weekend and then complete their online shopping at the beginning of the workweek. We see a similar trend while assessing our clients’ accounts, too. But for our data analysis, Monday proved to be the strongest.
As of April 2023, Mondays have the highest traffic and sales.
Shoppers follow patterns over the week. After pulling data from 138M clicks, we find that Mondays are the best days. Both traffic and purchase intent are at their peaks on Mondays, which means high search impressions and ad efficiency. Tuesdays are the second-best day with above average traffic and conversion rates coming in slightly less than Mondays at 13.9%.
MAKING SENSE OF IT ALL
While the graph above lays it out best, here’s a quick breakdown by each day:
Sunday This is a high traffic day. However, we’re seeing the lowest average conversion rates. This means shoppers are doing a lot of browsing but their purchase intent is low.
Monday This is the best day overall. Mondays have proven to have the highest traffic and the highest conversion rates throughout the week. When optimizing campaigns from both a growth and efficiency standpoint, this would be the day to ramp up bids and budgets.
Tuesday Tuesdays come in as the second-best day for conversion rates. After assessing our data, we’re seeing above average traffic. This shows that shoppers are still looking around while also completing some of the purchases. From an optimization standpoint, Tuesdays can also be a great day to increase bids to help capture sales.
Wednesday Wednesdays also perform well with both above average traffic and conversion rate.
Thursday Both traffic and average conversion decline on Thursdays.
Friday While Fridays show the lowest traffic, the average conversion rate remains at 13.6%. This shows that shoppers on Fridays are usually more intentional with their purchases and likely know exactly what they’re looking for.
Saturday We’re seeing low traffic on Saturdays with low conversion rates. From an optimization standpoint, this would be a great day to cut back bids/budgets due to lower buyer intent.
If you’re interested in diving even deeper – with Amazon Marketing Stream, we can now track metrics by the day AND hour. Is there a trend we can track throughout the day? There sure is!
Optimizing Bids for Buying Trends and Patterns
We can fully optimize our bids by using these repeatable trends to take advantage of the best sales days on Amazon. When predicting high conversion days, we can get more aggressive with bids to help maximize sales. On lower converting days, we can decrease bids to reduce wasted spend and lower ACoS.
By increasing the bids when our customers are most likely to buy, we can increase the frequency our ads are shown leading to more clicks and sales. Since our customers will convert at a higher rate during these times, we can afford to pay more since we’ll be getting a better return per click. Taking the same approach, we can reduce bids on days when customers have a lower purchase intent.
We use a trained machine learning model to find repeatable patterns like these to take these bid updates to the next level. However, if you know the trends for your account, you can even make these moves manually or through bulk files.
Want to learn more? Let’s chat!