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Jamie Schelling - BE Digital

Written by

Digital Marketing & AI Automation

Updated on 17 April 2024

Google Ads bidding strategies

Google Ads campaigns are a crucial instrument for businesses to increase their visibility and sales. One of the most complex aspects of Google Ads, however, is managing bidding strategies. Choosing the right strategy can make the difference between a successful campaign and one that costs a lot of money without results. In this blog we will explain the different Google Ads bidding strategies, when to use them, and give tips to get the most out of your campaigns.

What are bidding strategies?

Bidding strategies in Google Ads determine how you bid on ad placements in the search engine and on other platforms. These strategies can be automated or set manually, depending on your specific needs and the degree of control you want to have. 

Types of bidding strategies

Manual CPC (Cost Per Click)
With this strategy you set the maximum cost per click that you are willing to pay for each ad yourself. This is ideal for advertisers who want to closely monitor their spend and bids.
  • Advantages: Gives you full control over bids. You can adjust bids based on detailed insights and campaign results.
  • Disadvantages: It requires a lot of time and attention, and you may miss opportunities that algorithms can identify.
Automated strategies
Google offers several automated bidding strategies that use machine learning to adjust your bids in real time for the best results. Examples are:
  • Enhanced CPC (ECPC): Adjusts your manual bids to maximise conversions.
  • Target CPA (Cost Per Acquisition): Aims for an average CPA that you set in advance.
  • Target ROAS (Return on Ad Spend): Tries to achieve a return on ad spend that you specify.
  • Maximise conversions: Uses your budget to achieve the maximum number of conversions.
  • Maximise clicks: Aims for the maximum number of clicks within your budget.
  • Advantages: Saves time and uses Google’s advanced machine learning technology to optimise bids for the goals you have set.
  • Disadvantages: You have less direct control over individual bids and it can take some time for the algorithms to optimise, which can lead to less predictable results at first.

When do you use which strategy?

The choice of strategy depends on your marketing goals. If you want to build brand awareness quickly, for example, ‘Maximise clicks’ can be a good option. For businesses that are more interested in the quality of traffic and conversions, a ‘Target CPA’ or ‘Target ROAS’ strategy would be more effective. It also depends on your specific business goals, the nature of your products or services, and your market environment. By carefully choosing between manual and automated bidding options and tailoring them to your campaign goals, you can develop a more effective advertising strategy that is both cost-efficient and delivers maximum return.

Tips for optimising your bidding strategies

  • Objective: Clear goals help you choose the right bidding strategy.
  • Monitor and optimise: Regularly analyse the performance of your campaigns and adjust where necessary.
  • Test different strategies: Experiment with different bidding strategies to see which works best for your specific situation.
  • Use advanced options: Consider advanced settings such as ad scheduling and location targeting to refine your bidding strategy further.

Tips for using bidding strategies

Understand the context of your campaign
  • The type of product or service, the market dynamics and the competition are all factors that influence the choice of your bidding strategy. For example, for products with a lot of competition it can make sense to use more aggressive bidding strategies such as ‘Target ROAS’ or ‘Maximise conversion value’.
Use bid adjustments
  • Bid adjustments allow you to increase or decrease your bids based on specific devices, locations, times of day, and more. For example, if you notice that you receive more conversions in the evening, you can increase your bids during those hours.
Combine with other Google tools
  • Combine Google Ads with Google Analytics to gain deeper insight into how users interact with your website after clicking on ads. This can help you fine-tune your bidding strategies further.

Conclusion

A smart choice of bidding strategies in Google Ads can contribute significantly to the success of your digital marketing efforts. By aligning your strategies with your business goals and reviewing them regularly, you can maximise the effectiveness of your ads and achieve a better return on your investments. Start with a clear plan, stay flexible, and use the power of Google’s machine learning to take your digital marketing to the next level.
Do you want to know more or do you need help? Request a no-obligation consultation with us.

Frequently asked questions

What is the difference between manual and automated bidding strategies in Google Ads?

With manual CPC you set the maximum cost per click yourself, which gives you full control but takes a lot of time. Automated strategies use machine learning to adjust bids in real time, which saves time but gives you less direct control.

Which bidding strategy should I choose if I want more conversions in Google Ads?

If you care more about the quality of the traffic and about conversions, the article says Target CPA or Target ROAS is more effective. If you want to build brand awareness quickly, Maximise clicks can be a good option.

Which automated bidding strategies does Google Ads offer?

Examples are Enhanced CPC (ECPC), Target CPA, Target ROAS, Maximise conversions and Maximise clicks. They all use machine learning to adjust your bids in real time towards the goal you have set.

How do I get more out of my bidding strategy in Google Ads?

Set clear goals, regularly monitor and optimise performance, and test different strategies. You can also use bid adjustments, for example higher bids in the evening if you get more conversions then, and combine Google Ads with Google Analytics.

Jamie Schelling - BE Digital

About the author

Digital Marketing & AI Automation

Jamie Schelling is a Digital Marketing & AI Automation specialist at BE Digital. She combines data, campaigns and automation to make digital performance visible and to improve it structurally.