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  1. Home
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  3. /Bid Strategy
Advertising

Digital marketing term

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Bid Strategy

Bid Strategy is the umbrella term for the automated or manual approaches used on ad platforms to select the bidding method best suited to a campaign's goals, such as clicks, conversions, or impressions.

Detailed explanation

Platforms offer strategies such as manual bidding, target CPA, target ROAS, maximize conversions, or maximize clicks. The right choice depends on the campaign's goal — brand awareness, sales, or traffic.

Automated strategies use machine learning to adjust bids in real time and generally outperform manual methods once enough data has accumulated; however, in new campaigns without sufficient conversion data, the learning period can cause performance to fluctuate.

Beyond choosing the right strategy, giving a campaign time to learn and monitoring performance regularly are just as important for sustainable results.

Frequently asked questions

Is automated bidding always better?
It's generally more efficient for campaigns with enough conversion data; manual control can be safer for new campaigns or those with low data volume.
Which bid strategy should be chosen?
It depends on the campaign goal; sales-focused campaigns might prefer target ROAS or target CPA, while traffic-focused campaigns might prefer maximize clicks.

Related terms

Internal links for the topic cluster — read these concepts together.

  • CPCCPC (Cost Per Click): A click-based purchasing model. This digigund glossary entry explains how the term is used in digital marketing.
  • CPACPA (Cost Per Action) is a pricing and performance model based on completed actions such as a sale or form submission.
  • ROASROAS (Return on Ad Spend) is the revenue generated for every unit of advertising spend; it is used to measure profitability in performance marketing.
  • PPCPPC (Pay-Per-Click) is a paid advertising model where you pay only when someone clicks your ad; it underpins Google Ads and many social ad platforms.
  • Quality ScoreQuality Score is Google Ads' 1–10 rating of a keyword's expected relevance, based on expected CTR, ad relevance, and landing page experience.

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