For example, Google Ads takes the following signals into account when optimizing bids:
*Signals are attributes that can identify at the time of auction.
Examples of signals used in automated bidding
: ・User's device
・User's browser, OS
・User's location
・Day of the week and time of day
・Search terms (search campaigns and shopping phone number databases campaigns only)
・Website placement (display campaigns only)
・User behavior on the site (display campaigns only)
・Product attributes (shopping campaigns only)
Source: Google Ads Help "About Smart Bidding"
Compared to traditional manual bidding, automated bidding has the following features:
High bidding accuracy thanks to machine learning based on various signals
Since operators do not need to manually adjust bid prices one by one, operational workload is reduced.
Goal-based bidding strategies help you tailor your account to your goals
It is not necessarily the case that automatic bidding is better at all times, but it is important to use manual bidding and automatic bidding appropriately depending on the purpose and status of your account.
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Case details
1. Overview of this case
Industry: Medical clinic (Number of stores: 50 or more nationwide)
Budget: Around 80 million yen per month
Media: Search, Display, DSP, SNS, Video, P-MAX
CV points: Advertising goal is the number of new patients visiting the store, Web CV is a reservation made via the web (reservation completed + phone tap + online medical appointment)
