広告のスケジュール

サプライアカウントは、広告のスケジュール機能にアクセスでき、アカウントのデマンドサイドで管理するスポンサード広告の広告グループの時間および日単位の詳細なスケジュールを作成できます。

広告のスケジュールツールは、広告グループ作成ワークフローのステップ 1 にある大きめの見出し、[スケジュール] の下に表示されます。 矢印をクリックし、[広告をスケジュールに基づいて配信] を選択すると、希望のスケジュールを選択するための [曜日]、[開始時間]、[終了時間] ドロップダウンを使用できるようになります。

スポンサード広告の広告グループのスケジュールを作成するには:

  • 曜日を選択するか、平日(月曜日から金曜日)または週末(土曜日から日曜日)のプリセットを使用します。

  • 希望の開始時間を 12:00 am ~ 12:00 pm までで入力してください。

  • 希望の終了時間を 12:00 am ~ 12:00 pm までで入力してください。

カスタムスケジュールを作成したい場合は、[追加 ] ボタンを使用して追加パラメータを入力します。 1 つの曜日に対して複数のパラメータを入力できます。たとえば、広告グループを火曜日の 8:00 am ~ 9:00 am と 1:00 pm ~ 2:00 pm に有効にしたい場合などで 便利です。 終了時間が開始時間より後になっていることをご確認ください。

Set Up an Ad Schedule

To create a schedule for your Onsite Sponsored Products line item: 

  1. On the campaign dashboard, click the desired campaign name to open the line item dashboard. 

  1. On the line item dashboard, click + Line item to create a new line item or click the three dots against your desired line item to edit it 

  1.  In the line item creation workflow, scroll down to find the Ad Schedule tool under the larger Schedule heading in Step 1. 

  1. Expand the Ad Schedule panel by clicking the arrow and choose Run ads on a schedule to reveal a series of three dropdowns that can be used to select your desired schedule: Day(s) of the week, Start Time, and End Time. 

    • Choose a day of the week or use the weekday (Monday–Friday) or weekend (Saturday-Sunday) presets. 

    • Input your desired start time, from 12:00 a.m. to End of Day (11:59 p.m.) 

    • Input your desired end time, from 12:00 a.m. to End of Day (11:59 p.m. 

  1. Use the Add button to build out your schedule.

  2. Click the x to the right of each rule to remove it. To reset the schedule entirely, click Run ads all the time.

Ad Scheduling Recommendations

Ad Scheduling is a powerful tool that helps you control delivery and ensure that you reach your target audience at the most impactful times. Here are some key tips:  

  • Leverage data: Ad scheduling lets you adjust ad delivery based on when shoppers are most active and engaged, so use historical performance reporting to identify which time slots and days of the week routinely have higher conversion rates.

  • Test and Monitor: Start with a phased approach. Minimize risk to your campaign by implementing ad scheduling strategies on a smaller scale initially. Monitor the performance impact, and gradually adapt your delivery schedule based on ongoing review of the data, user behavior, and market trends. 

  • Understand the Competition: Ad scheduling can be used to help advertisers with limited funds (i.e., routinely capping out)concentrate ad delivery during the most important time slots. That said, the time slots with the highest engagement may also be the most competitive. Adapt your CPC bidding strategy based on the competitiveness of certain time periods. You can adjust bids during high-conversion hours to ensure your ads remain visible and competitive.

  • Seasonal or Event-Based Campaigns: For advertisers running campaigns tied to specific events or seasons, ad scheduling allows you to intensify and concentrate your efforts during relevant periods, ensuring maximum impact during key moments. We recommend that retailers and brands leverage their promotional calendars to identify time frames where site traffic and consumer interest may be highest.

When Ad Scheduling Helps and When It Hurts

Always make sure that ad schedules are deployed toward achieving a specific strategic objective. Ad scheduling is not suitable for campaigns and line items struggling to scale. By limiting a line item’s delivery to specific time periods, you further reduce the chance that your ad will be seen by interested shoppers.

Since Sponsored Products are on the CPC model, advertisers do not pay for impressions. Advertisers risk missing potential opportunities for engagement and conversions during other times of the day, and in these circumstances, the objective should be to maximize exposure. 

Ad scheduling is more effective when campaigns have sufficient data to identify peak engagement times. If a campaign is struggling to hit daily caps, it may not have gathered enough data to pinpoint the most effective time slots for ad delivery accurately. Implementing dayparting without a clear understanding of when shoppers are most active may lead to missed opportunities or, conversely, overspending during less effective time periods.