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Seasonality in Marketing – Calculate the Seasonal Expected Value

What is seasonality in marketing?

Seasonality describes recurring fluctuations in demand throughout the year, such as higher sales during the holiday season or lower demand in certain summer months. The seasonal index makes these fluctuations comparable by putting each month in relation to the yearly average.

Seasonality Calculator

Seasonal expected value = Average value × Seasonal index (%) / 100

Example calculation

An average monthly value of $10,000 with a seasonal index of 140 percent for December gives an expected value of $14,000 — forty percent above the yearly average. Conversely, an actual December figure can be divided by the index to make it comparable with other months.

Why a single seasonal index per month has its limits

This calculation assumes a fixed seasonal index per calendar month. In practice, the index often differs by product and channel, shifts from year to year due to moving holidays, and overlaps with the timing of running campaigns. A flat annual overview without this nuance easily leads to wrong expectations for individual months.

Anyone who wants to account for seasonality separately by channel and product, combined with campaign timing, needs a model that accounts for these factors together.

👉 Combine seasonality per channel with timeline and market factors: try the full tool

How to determine the seasonal index

  • Evaluate monthly values across several prior years to smooth out single-year outliers
  • Put each monthly value in relation to the average of all months
  • Calculate the index separately per product group or channel if patterns differ
  • Update the index regularly, since seasonal patterns can shift

No seasonal adjustment vs. seasonal index vs. full time-series modeling

Approach Accounts for Limitation
No seasonal adjustment Only the yearly average Over- or underestimates individual months significantly
With seasonal index Recurring monthly patterns Ignores shifts and channel differences
Full time-series modeling Seasonality, trend and campaign timing together Requires more historical data

Frequently asked questions about seasonality in marketing

How do you determine the seasonal index for a month?

A common approach is comparing the average value of a month across several prior years against the average of all months. The ratio of the two values, expressed as a percentage, gives the seasonal index.

Is the seasonal index the same for every product or channel?

No. Different products and channels can show very different seasonal patterns, for instance when one product peaks in summer and another in winter.

How is seasonal adjustment different from a seasonal forecast?

A seasonal forecast multiplies a baseline value by the seasonal index to predict a monthly figure. Seasonal adjustment divides an actual value by the seasonal index to make it comparable with other months.

Does the seasonal index stay constant over the years?

Not necessarily. Changing consumer habits, new competitors or shifting holidays can alter the seasonal index over time, which is why it is worth updating regularly.

How should marketing budget be distributed seasonally?

Budget is often weighted more heavily toward months with a high seasonal index, provided those channels haven't already lost efficiency due to higher competition and prices during those months.

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