What is Google Ads and how does it work?

With the Google Ads ad­ver­tis­ing platform, the search engine operator offers the ability to manage campaigns and enhance them with mul­ti­me­dia ads in the Google Display Network.

What is Google Ads?

Google Ads, known as Google AdWords until 2018, is Google’s central platform for search engine ad­ver­tis­ing. Over the years, it has developed into the world’s largest online ad­ver­tis­ing network, allowing busi­ness­es to place ads in Google Search, on YouTube, and across millions of partner websites.

Through Google Ads, ad­ver­tis­ers can manage campaigns for Google Search and seam­less­ly expand them to include place­ments on the Google Display Network and YouTube. This makes it possible to pursue a wide range of marketing ob­jec­tives—from in­creas­ing reach to driving specific con­ver­sions—within a single, central platform.

Ad formats in Google Search

Google Ads allows ad­ver­tis­ers to place ads on Google search results pages, as well as on platforms such as Google Play and Google Shopping. These ads are displayed above and below the organic results on Google’s search engine results pages (SERPs). In addition, Google Ads works with a range of partner search services to extend ad reach.

Within the search network, Re­spon­sive Search Ads (RSAs) are now used almost ex­clu­sive­ly. Ad­ver­tis­ers submit several headlines and de­scrip­tions, which Google then au­to­mat­i­cal­ly combines to generate relevant ad vari­a­tions. The following character limits apply:

• Headlines: max. 30 char­ac­ters
• De­scrip­tions: max. 90 char­ac­ters
• Path: max. 15 char­ac­ters

Ad formats in the Google Display Network

Google Ads’ reach is not limited to the search engine. The Google Display Network enables ad­ver­tis­ers to place ads on Google services like Gmail or YouTube as well as on various third-party sites. In addition to text ads, ad­ver­tis­ers also have mul­ti­me­dia ad formats available here.

Instead of static banner formats, Re­spon­sive Display Ads are pre­dom­i­nant­ly used today. These ads au­to­mat­i­cal­ly adapt to different place­ments, devices, and screen sizes.

• Image ads: Banner ads are still based on stan­dard­ized formats, but are delivered and optimized au­to­mat­i­cal­ly.
• Video ads: Google Ads offers various video ad formats, including in-stream ads, in-feed video ads, and video ads in YouTube Shorts. These can be served on their own or as part of modern campaign types.

How Google Ads works

The stated goal of Google’s ad­ver­tis­ing network is to deliver the most relevant ads possible. For this reason, Google Ads campaigns are keyword-based, but today they also take user signals, context, device type, location, and the time of the search query into account.

While in­di­vid­ual keywords used to be the key factor, Google Ads today relies heavily on au­toma­tion and machine learning. Ads are served dy­nam­i­cal­ly to maximize the like­li­hood of a desired action—such as a purchase or an inquiry.

Keywords

The core idea behind Google Ads is to place ads in a way that feels helpful rather than dis­rup­tive, offering added value to users. Keywords still play a role in assigning ads to topics and matching them to relevant search queries. They can consist of single terms or longer keyword phrases that potential customers use when searching for products or services. However, the success of a Google Ads campaign today no longer depends solely on manual keyword selection. Instead, it is driven by the in­ter­ac­tion of search intent, au­toma­tion, and data.

In modern campaigns, broad match keywords are fre­quent­ly used in com­bi­na­tion with automated bidding strate­gies to capture relevant searches. This approach also allows ad­ver­tis­ers to reach se­man­ti­cal­ly related queries without relying on exact, pre­de­fined keywords.

The Keyword Planner remains a helpful tool for eval­u­at­ing keyword ideas, search volumes, and com­pe­ti­tion. For ongoing op­ti­miza­tion, however, actual search queries and con­ver­sion data are far more valuable than forecasts alone.

Ad auction

Google decides which ad is served for an ad-relevant keyword based on what is known as an ad auction. This process de­ter­mines the ad rank, which decides whether an ad appears and in what position.

Key factors include:

• the ad bid
• the Quality Score
• ad ex­ten­sions
• con­tex­tu­al and user-related signals, such as device or location

Quality Score remains relevant, but today it is sup­ple­ment­ed by automated op­ti­miza­tion and data-driven models.

Costs

To determine the costs of an ad campaign in Google Ads, ad­ver­tis­ers can choose from various bidding and billing models. Today, there is less manual bidding and a greater focus on automated strate­gies that align with defined campaign goals.

Costs can still be grouped according to different billing models:

• CPC (cost per click): With cost-per-click pricing, ad­ver­tis­ers pay only when a user clicks on an ad. The actual CPC is de­ter­mined by the ad auction and is often lower than the maximum bid set. Search campaigns are commonly billed on a CPC basis.
• CPM (cost per mille): Cost-per-mille pricing is based on im­pres­sions. Ad­ver­tis­ers define how much they are willing to pay for 1,000 ad im­pres­sions. This model is mainly used for display and video campaigns, for example to increase brand awareness.
• CPA (cost per ac­qui­si­tion): This model focuses on specific actions, such as purchases or inquiries. Today, CPA is usually not a fixed price per con­ver­sion but a target value used by automated bidding strate­gies.

In addition, automated bidding strate­gies such as Target CPA or Target ROAS are widely used. Here, Google au­to­mat­i­cal­ly adjusts bids to achieve pre­de­fined campaign goals, taking numerous signals into account, including device, location, time of day, and user behavior.

To ensure full control over spending, Google Ads campaigns are managed using in­di­vid­ual budgets. Ads are displayed only until the defined budget is reached.

Per­for­mance mea­sure­ment, tracking, and data privacy

In the United States, tracking and per­for­mance mea­sure­ment in Google Ads are evolving as privacy ex­pec­ta­tions increase. With many browsers limiting or disabling support for third-party cookies, ad­ver­tis­ers are in­creas­ing­ly relying on cook­ie­less tracking ap­proach­es that use modeled data, first-party signals, and server-side con­fig­u­ra­tions to maintain mea­sure­ment accuracy and fill gaps left by tra­di­tion­al tracking methods.

Google Analytics 4 (GA4) has become a central tool for tracking and per­for­mance mea­sure­ment in this en­vi­ron­ment. Its event-based data model and in­te­gra­tion with Google Ads make it possible to capture con­ver­sions, analyze campaign per­for­mance, and optimize campaigns with data-driven insights, even as cookies become less reliable.

In the US, privacy com­pli­ance is shaped by state privacy laws such as the Cal­i­for­nia Consumer Privacy Act (CCPA) and the Cal­i­for­nia Privacy Rights Act (CPRA). These laws give users rights such as the ability to opt out of the sale or sharing of their personal in­for­ma­tion, require clear privacy dis­clo­sures, and impose oblig­a­tions on busi­ness­es that collect and process data about residents. Unlike in the EU, there is no single na­tion­wide privacy standard, and opt-in consent for cookies is not generally required, though an easy opt-out must be provided under laws like the CCPA.

Google’s Consent Mode can help align tracking with user pref­er­ences since it allows websites and analytics tools to adjust how tags behave based on whether a user has provided consent. Even without full consent, Consent Mode can provide modeled con­ver­sion data that supports mea­sure­ment while re­spect­ing user privacy choices.

Another important trend in the US is the growing adoption of server-side tagging. Server-side setups route data col­lec­tion through a server rather than relying solely on browser scripts, giving ad­ver­tis­ers more control over what data is collected and how it is processed. This approach improves mea­sure­ment stability despite browser re­stric­tions or ad blockers and helps preserve privacy by cen­tral­iz­ing data col­lec­tion and man­age­ment.

Overall, even in the US context, reliable per­for­mance mea­sure­ment in­creas­ing­ly depends on a com­bi­na­tion of first-party data, event-based mea­sure­ment, modeled insights, and privacy-aligned tracking tech­niques rather than solely on tra­di­tion­al cookie-based tracking.

Boost a website’s success with Google Ads

Before ad­ver­tis­ers launch an ad campaign with Ads, they need to define the goals of this marketing measure. Typical ob­jec­tives are:

• Increase brand awareness
• Increase website traffic
• Generate leads
• Drive sales
• Drive visits to brick-and-mortar stores

Google Ads offers enormous reach and a wide range of options for reaching potential customers at exactly the right moment. At the same time, using the platform suc­cess­ful­ly requires clear strategic planning, a clean setup, and reliable per­for­mance mea­sure­ment. Legal re­quire­ments—es­pe­cial­ly those related to data privacy—must also be con­sid­ered from the very beginning. Busi­ness­es that con­sis­tent­ly align their ads with defined marketing goals, make effective use of modern au­toma­tion features, and regularly review and optimize their campaigns can use Google Ads both ef­fec­tive­ly and cost-ef­fi­cient­ly in the long term.