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When evaluating longer data

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发表于 2024-2-14 19:05:49 | 显示全部楼层 |阅读模式
本帖最后由 mdrahim 于 2024-2-15 19:41 编辑

When evaluating longer data, it can bias the data. In this case, it is beneficial to handle higher-level entities for the account. This strategy can produce good results if keywords are logically clustered together and similar keywords are kept in one group. Another important approach is to group biddable entities based on similarity, not limited to account structure. For this, an efficient bidding tool is required to perform the task. More bid management strategies include: Portfolio Bidding Portfolio bid management works by setting bids at the ad group level,

so the list of keywords in each ad group acts like a portfolio. Google’s flexible Latvia Email List bidding strategies such as Target CPA and Target ROAS are some great examples of combination rules. The benefit of a portfolio bidding management system is the ability to decide which ad groups or campaigns should be grouped based on similar strategies. For example, if you have two strategies that target a similar goal (such as target CPA) but apply to different collection groups, you can create two different portfolios that should independently meet the goal.





Rule-based bidding Rule-based bidding is the exact opposite of portfolio bidding. In rules-based bidding, instead of grouping keywords to achieve the goal evenly, it analyzes each item (whether it's a keyword or ad group) individually and forces them to meet the goal. For example, if your keyword has more than 100 clicks and a CPA of less than $20, it might ask you to change your bid by 10%. Rules-based bidding doesn't record other keywords or how the bid changes the bid's impact on other keywords. Rules-based bidding can be accomplished using .

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