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Seasonality adjustment

A note to Smart Bidding that conversion rates will jump for a short, known period, such as a flash sale of a few days.

By the Optizads team

On this page
  1. Why it matters
  2. Where to find it in Google Ads
  3. An example
  4. Common mistakes
  5. Checks that look at it
  6. Related terms

Why it matters

Smart Bidding learns from the past. A three-day sale with twice the usual conversion rate would take it days to notice, and by then the sale is over.

A seasonality adjustment tells it in advance, so bids rise with the sale and fall back after.

Where to find it in Google Ads

  1. Open Tools, then Adjustments, and add a seasonality adjustment.
  2. Set the start and end dates and the expected change in conversion rate.
  3. Choose the campaigns or campaign types it applies to.
  4. Use it for events of a few days, not for whole seasons.

An example

A shop runs a 48-hour sale and expects conversion rate to rise by 60%. A seasonality adjustment for those two days lets bids rise from the first hour.

Common mistakes

  • Using it for long seasons like Christmas, which bidding learns on its own.
  • Overstating the expected change.
  • Forgetting to set it before the event starts.

Checks that look at it

The audit checks Oppy runs on this, each with its own page.

  • Smart Bidding: Google's automated bid strategies that set a bid for each auction toward conversions or conversion value.
  • Data exclusion: A date range you tell Smart Bidding to ignore, for example when conversion tracking was broken, so it does not learn from a false drop or spike.
  • Learning period: The time Smart Bidding needs to recalibrate after a new strategy or a large change.
  • Keyword Planner: Google's free tool for keyword ideas, average monthly searches and the range advertisers have paid to show at the top of the page.

Questions, answered.

Anything else? Ask Oppy in the product, or write to the team.

How long can a seasonality adjustment last?

It is designed for short events, ideally a few days and at most about two weeks.

What is the difference with a data exclusion?

A seasonality adjustment prepares bidding for a real, expected change. A data exclusion tells it to ignore days when measurement was broken.

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