Just a guess of the traffic coming during the peak season is not feasible. Guesses may work at casinos or racetracks, but they don’t work in the e-commerce industry. For your peak season sales, you must consider a data-based approach. There are four important benchmarks that have been shared by Adobe Commerce Business Intelligence which you can use as a guide for useful predictions about the traffic in your peak season.
- The traffic on your store for the past 6 months on a daily or weekly basis
- The traffic on your store during the last peak season time.
- The calculated percentage increase for last year’s peak season traffic over the last year’s 6 months average before the peak season
- Percentage growth in the traffic year-wise between last year’s and this year’s traffic.
After gathering this data, the sales team should calculate expectations for the peak season by using the metric of last year’s percentage growth of traffic against the daily and weekly average of the traffic. Use the overall year-wise growth rate to validate the resulting prediction by applying the percentage to last year season numbers.
Another way for making a prediction to know the required resources is to identify the normal peak sales hour and review the load on the infrastructure places (memory, CPU, disk space). Multiply the metrics to 3 to get a reasonable approximation.
Also, give consideration to how COVID-19 has impacted the sales on your Magento store whether your site might experience peak season traffic levels are far different than last year’s peak levels.