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MICROSOFT ADS ENCYCLOPAEDIA

Seasonality adjustments and data exclusions

Short promotional bursts and tracking outages disrupt machine learning models. Here is how seasonality adjustments and data exclusions protect automated bidding.

Quick answerSeasonality adjustments inform Smart Bidding algorithms of short, anticipated conversion rate spikes during promotions. Data exclusions remove specific date ranges affected by website downtime or tracking tag errors from algorithmic training data.
Section 01

Managing short promotional conversion spikes#

Smart Bidding algorithms rely on historical conversion rates to set auction bids. During short, intense promotions (e.g., Black Friday 72-hour flash sales), conversion rates surge dramatically.

Without a seasonality adjustment, the algorithm will not react quickly enough to capture peak volume, and will subsequently overbid after the sale ends as explained in Microsoft Seasonality Adjustments Docs, 2026.

Section 02

Configuring promotional seasonality windows#

Seasonality adjustments are designed for short events lasting between 1 and 14 days. Advertisers input start and end timestamps and the predicted conversion rate change (e.g., +50% conversion rate lift).

The algorithm immediately scales bids during the promotional window and automatically resets to standard historical bidding the moment the window concludes.

Best practice

Seasonality adjustments should only be used for short events under 14 days. Longer seasonal shifts (e.g., full summer quarters) are handled natively by the algorithm.

Section 03

Data exclusions for tracking outages and site errors#

When website crashes, checkout gateway failures, or UET tracking tag errors corrupt conversion data, Smart Bidding algorithms can misinterpret the zero-conversion period as a drop in commercial demand, lowering future bids.

Creating a Data Exclusion informs Microsoft to completely ignore that specific date range in algorithmic training datasets as documented in Microsoft Campaign Management Data Exclusion API, 2026.

Section 04

Reporting integrity versus algorithmic training#

Data exclusions only affect algorithmic bidding calculations; they do not alter standard performance reporting tables or historical analytics charts.

Consult our Microsoft Ads Hub for complete operational hygiene checklists.

Section 05

Seasonality Adjustments versus Data Exclusions#

The table below highlights when to apply Seasonality Adjustments versus Data Exclusions.

Comparison: Seasonality Adjustments vs Data Exclusions
FeatureSeasonality AdjustmentsData Exclusions
Primary PurposeInform AI of anticipated temporary conversion spikesErase corrupted or missing conversion data from training
Event TimingConfigured before the promotional eventConfigured after a tracking outage or site error
Duration Range1 to 14 days maximumSpecific hours or days affected by data outage
Impact on BidsTemporarily increases bid aggression during salePrevents algorithms from depressing bids post-outage
Questions

Frequently asked questions#

When should I use a Seasonality Adjustment in Microsoft Ads?

Use seasonality adjustments for short promotional events (1 to 14 days) such as Black Friday or flash sales where conversion rates increase significantly above normal baselines.

How do Data Exclusions protect automated bidding?

Data exclusions tell machine learning models to ignore specific dates affected by website outages or broken tracking, preventing algorithms from reducing bids based on bad data.

Do Data Exclusions delete my historical reporting data?

No, data exclusions only remove data from Smart Bidding algorithmic training sets; standard performance reporting metrics remain unchanged.

How far in advance should I set up a Seasonality Adjustment?

Configure seasonality adjustments a few hours to a day before the promotional event begins to ensure seamless activation.

Can I use seasonality adjustments for long seasonal shifts like summer?

No, longer seasonal changes lasting several weeks or months are natively detected and handled by Microsoft's continuous machine learning models.

Keep reading

Read more on this topic#

Preparing for a major promotional event or recovering from an outage?

folkfox configures advanced seasonality adjustments and data hygiene protocols on Microsoft Advertising.