Google Ads display advertising helps you reach potential customers while they browse websites, apps, and other sites in the Google advertising network. Unlike search, ads don't require a user to enter a commercial query right away. Ads can take into account a selected audience, interests, past interactions with the site, and other signals.
The Google Ads Display Network is used to attract new audiences, increase awareness, bring back visitors, and support sales. A single campaign can utilize banner ads, responsive ads, multiple audience segments, and automated bidding strategies.
Starting in 2026, Google will gradually migrate Google Display Ads to Demand Gen. Access to the Google Display Network will remain, and existing display campaigns will be migrated in stages. Therefore, the interface of the new advertising account may differ from the instructions showing the classic Google Ads Display Network setup.
The Google Display Network (GDN) is the Google Display Network. It includes websites, mobile apps, and Google advertising surfaces where visual ads can appear. In English-language content, the terms Google Ads Display Network, Google Display Ads, and Google Ads Display are used.
The operating principle depends on the campaign's objective and the selected settings. The advertiser defines the geography, advertising budget, audiences, conversions, creatives, and bidding strategy. The system analyzes available impressions and determines where and to whom the ad can be shown. Google uses automation in bidding, targeting, and ad creative adaptation.
Queries like "google kms", "google kms", or "google contextual display advertising" all belong to the same group of services. Users are looking for the ability to advertise outside of regular search results and control which audiences see their ads.
Search advertising often works with existing demand. A user enters a query, sees ads, and selects a suitable offer. Google display advertising can reach users earlier, while they're reading materials on websites, viewing content, or using an app.
This difference also changes the approach to evaluating results. In search, direct inquiries from commercial queries are often prioritized. For display campaigns, reach, frequency of impressions, ad interactions, and subsequent conversions are additionally considered.
| Parameter | Search advertising | Display advertising |
|---|---|---|
| Main signal | search query | audience, content and other signals |
| Where does the user see the ad? | search results | Websites, apps, and Google properties |
| Typical materials | text ads | images, text, logos, videos |
| The main task | capture existing demand | find, engage, or bring back an audience |
| Setting up | keywords and queries | audience segments, data, context and automation |
Both formats can be used in a single advertising strategy. For example, a search campaign can generate leads from already engaged users, while display campaigns can expand reach or re-engage with previous website visitors.
Display Network ads can appear on websites and mobile apps that are part of the advertising network. Depending on the campaign type and Google's current settings, ads may also be shown on Google-owned properties.
After migrating Display Ads to Demand Gen, advertisers can use the Google Display Network alongside YouTube, Discover, Gmail, and other available channels, or manage their choice of platforms through campaign settings. The range of options depends on the campaign type and the stage of account migration.
Therefore, the phrase "Google display advertising" doesn't mean placement on just one Google site. It refers to a distributed advertising network, where display placement is determined by the selected settings, audience, ad format, and available ad inventory.
An impression on the Display Network doesn't require a user to be searching for a specific service on Google at the time. The system can take into account a user's membership in a selected audience segment, the content of the page being viewed, demographic parameters, and other available signals.
For example, a visitor researched a product on an online store's website but didn't place an order. If a relevant data segment can be used for this visitor, the ad can re-display the offer on another platform. For new audiences, different scenarios are used: interests, intent, custom segments, or automated user selection.
Before launching, it's important to determine the specific scenario your business needs. Overly broad display criteria typically yields a large volume of data, but the sheer number of impressions alone says nothing about the quality of the audience.
Before launching, we collect initial data and check the settings already in the advertising account. If the account has been used before, we separately analyze existing campaigns and accumulated statistics.
The setup work may include:
The scope of work depends on the project. If analytics are already set up correctly, there's no need to recreate them. If conversions are missing or are reported with errors, we first correct the measurement, as further optimization will rely on this data.
When working with display campaigns, I don't evaluate results solely by CTR or impressions. A high click-through rate doesn't necessarily mean high-quality traffic. I look at which audiences and platforms are bringing users, what they do after clicking, how much the targeted actions cost, and what value they provide to the business. If analytics are set up incorrectly, Google's automation is optimizing with incomplete data, so conversion measurement needs to be verified before scaling the campaign.
Setting up the Google Ads Display Network begins with a business objective and ends with testing a running campaign after publishing. Missing analytics, audience structure, or website checks usually becomes apparent after a portion of the budget has been spent.
Older instructions may refer to this process as "setting up the Google AdWords Display Network" or "setting up the Display Network in Google AdWords". The product is now called Google Ads, and in 2026, Google will also transition Display Ads to Demand Gen.
Dental clinic · Kyiv and Chernihiv
A domain with no history on a website builder. We built the semantic core for both cities, reworked the landing pages and built the link profile from zero. Four months: 34.8k clicks, impressions 1.32 → 1.76M, DR 0 → 41.
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A catalogue of digital 3D models. We clustered the semantics, rebuilt the hub pages and closed duplicates and indexing errors. Google users 247 → 532, CTR 2.4% → 4%.
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Narrow visibility and a small semantic core at the start. Semantics, landing page structure, metadata and internal linking, then gradual link building.
The time frame depends on the budget, audience size, number of conversions, and frequency of impressions. For some campaigns, statistics accumulate quickly, while for others, obtaining a sufficient sample size takes longer.
A few clicks or the first day of operation rarely provide the basis for a definitive conclusion. First, you need to ensure that advertising and analytics are working correctly, and then analyze statistically significant changes.
After major changes or campaign migrations, there may also be a period of algorithm adaptation.
A display campaign has at least two distinct cost elements: the money the advertising system receives for impressions or other advertising interactions, and the cost of setting it up and running it.
The advertising budget depends on the country, audience, niche, available inventory volume, objective, and bidding strategy. Therefore, a fixed cost per click or a universal minimum budget is not suitable for all projects.
When planning, you can consider CPC, CPM, CPA, and other metrics, but their actual value emerges after the launch and accumulation of statistics. For a sales-based project, ROAS and business margins are also assessed.
The cost of a contractor's work depends on the number of campaigns, account structure, scope of analytics, the need to create new audiences, and the complexity of regular optimization. These costs should be calculated separately from the Google advertising budget.
We begin our work with the business objectives and the current advertising status. We review the account, analytics, landing pages, conversions, and existing data. After that, we determine the campaign structure and audience.
When setting up the Google Ads Display Network, we don't create dozens of ad groups without a clear reason. The structure should help manage your budget and determine where your most valuable users are coming from.
After launch, we monitor traffic quality, conversions, creatives, and budget. We make adjustments based on statistics, not just recommendations from the advertising account interface.
The client receives a report based on agreed-upon metrics. If the goal is inquiries, the focus is on inquiries and their cost. If the campaign serves a reach objective, the metrics set changes along with the goal.
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The Google Display Network (GDN) is an advertising network through which visual ads can be displayed on websites, in apps, and across Google's available advertising surfaces.
Display advertising is used to attract new audiences, build reach, re-engage users, and drive conversions. The specific scenario depends on the campaign setup and business objectives.
In 2026, Google began migrating Display Ads to Demand Gen, but access to the Google Display Network remains.
In search advertising, one of the main signals is the query a user enters into Google. The user has already demonstrated a specific interest and receives ads directly in the search results.
On the Display Network, ads are displayed to users while they're viewing other content. Segments, advertiser data, demographics, and other available signals can be used to select audiences.
Search and display advertising solve different problems, so they are often used in parallel.
There is no universal cost. Costs depend on the country, niche, audience, advertising objective, bidding strategy, impression volume, and competition for ad inventory.
The cost of setup and management should be factored in separately. The cost of a specialist or agency's services is not included in the budget spent directly within Google Ads.
Before launch, the budget is calculated as a working guideline, and after data has been accumulated, it is adjusted based on the cost of target actions and business economics.
Display advertising uses responsive ads and uploaded ad assets. For the responsive format, the advertiser submits images, logos, headlines, descriptions, and other supported assets.
Google automatically creates variations from these assets to suit different ad placements. For greater design control, you can use uploaded image ads.
The set of available formats depends on the current version of the advertising account and the migration of Display Ads to Demand Gen.
Yes, segments based on the advertiser's own data are used to target users who have already interacted with the site or app.
Before launching, it's essential to properly build your audience and comply with Google's personalized advertising requirements. The capabilities of individual business categories may vary due to advertising policy restrictions.
It is advisable to divide segments based on user behavior, since visiting a single informational page and an incomplete purchase reflect different levels of interest.
To launch, you need a Google Ads account, a website or other suitable landing page, a specific advertising goal, a budget, and prepared advertising materials.
Before starting work, it's also a good idea to set up conversions and Google Analytics 4. Without proper measurement after launch, it's difficult to understand which audiences are driving useful actions.
After technical preparation, campaigns are created, audiences, bidding strategies, and ads are configured, and a final check is carried out before publication.
With responsive display ads, there's usually no need to create a separate banner for each ad space. The advertiser uploads a set of assets, and the system adapts the combination and format to the available inventory.
The situation is different for uploaded image ads. The designer prepares specific sizes and files according to Google's requirements, so the number of variations created affects the available placements.
In practice, it is possible to combine responsive and pre-prepared materials if this fits the campaign structure.
Google Ads display advertising is suitable for attracting new audiences, re-engaging website visitors, increasing awareness, and supporting sales. Results depend on the combination of audience, creatives, landing pages, analytics, and regular optimization.
If you need to launch a new campaign or check an existing Google Ads Display Network, start by analyzing your current account and conversions. Submit a request to Seo-Gen for display advertising setup – we'll determine the appropriate campaign structure, verify results measurement, and prepare the launch for your business objectives.
We reply within one business day. No newsletters, no “just a reminder” calls.
He will look at the site himself instead of passing it to a manager.
Before creating a campaign, we define the product, geography, audience, and the desired user action. For an online store, this could be a purchase, for a service, a form submission, or for a B2B project, a qualified lead.
The entire subsequent structure depends on the goal. A broad reach campaign and a lead campaign will use different metrics, audiences, and optimization approaches.
At this stage, we determine the limitations: the acceptable acquisition cost, priority regions, seasonality, and the available advertising budget.
Before launching, we check that the required events are being sent to Google Ads and Google Analytics 4. A button click cannot automatically be considered a high-quality request if the user doesn't submit anything afterward.
For online stores, e-commerce events and order values are additionally checked. For services, form submissions, phone calls, and other real-world contact points are also monitored.
We also view the landing page from a mobile device. Loading speed, a working form, and a clear offer directly impact what happens after the ad click.
We develop a separate audience management logic for each task. New users, website visitors, and existing clients should not be automatically lumped into a single segment.
Before launching, we evaluate the size of the audience groups and the feasibility of collecting sufficient data. An overly narrow audience may receive almost no impressions, while an overly broad one complicates traffic quality management.
The structure should make it possible to compare results and understand which group is leading to actions that are beneficial to the business.
Images, logos, headlines, descriptions, and CTAs are prepared for the campaign. Visual elements should align with the landing page so that after clicking, the user sees a continuation of the same offer.
We create several variants that differ not in minor decorative elements, but in the message, visual accent, or offer. This way, testing provides data for decision-making.
Google recommends passing multiple assets for responsive ads so the system can create different combinations.
The bidding strategy is selected based on the goal and available data. Different bid management methods can be used for sales, leads, traffic, or reach campaigns.
An automated strategy requires accurate conversions. If the system receives erroneous or unimportant events, increasing the volume of such conversions will not yield the desired results for the business.
Once launched, the strategy shouldn't be changed after every short-term fluctuation. First, collect data and understand the cause of the deviation.
The daily budget determines the amount of data a campaign can receive over a given period. There's no universal amount for any niche: the cost per contact depends on the market, geography, audience, and advertising objective.
Too small a budget can prolong the collection of statistics. A starting limit that's too high without control also doesn't guarantee quick results.
We plan the budget in conjunction with the business's target indicators, and after collecting statistics, we redistribute funds between campaigns and segments.
Before publishing, double-check your target URLs, geography, audiences, ad assets, conversions, and budget. A single error can impact your entire first period of campaign execution.
We also check platform restrictions and ad status. The creative prepared by the designer must comply with technical requirements and Google's advertising policies.
After publishing, we check whether the campaign has started receiving impressions and whether analytics data is being collected correctly.
Initial data is needed to verify the actual performance of the campaign. We look at where impressions are appearing, how much traffic costs, which audiences respond to ads, and what actions occur on the website.
Don't evaluate an entire campaign based on a few clicks. Drawing conclusions requires a sufficient volume of statistics, and the speed at which this data is accumulated varies across different niches.
Following the Display Ads migration to Demand Gen, Google also warns of potential short-term fluctuations, so such changes are taken into account when assessing dynamics.
Google display advertising can be used at different stages of the decision-making process. In some cases, a business may need a broad reach of potential buyers, while in others, it may seek repeat engagement with website visitors or additional conversions.
A campaign's objective influences the audience, ad assets, budget, bidding strategy, and set of metrics for analysis. Google also recommends defining the objective before setting up a campaign, as it determines subsequent launch parameters.
The Display Network helps you reach beyond people who already search for commercial queries. This can be achieved through audience segmentation and automated targeting of users who match your advertising campaign objectives.
This approach is suitable for companies that need to expand the top and middle of the funnel. A user may first see an offer on a relevant website, then return through search, a direct visit, or other advertising. Therefore, it's advisable to evaluate the impact of a display campaign alongside data on subsequent visitor actions.
When setting up a new audience, it's important to determine in advance who the business wants to attract and what actions are considered beneficial. A broad reach without a clear goal complicates optimization and quickly depletes the daily budget.
Display ads provide users with visual contact with the company's name, product, offer, and brand elements. Reach, frequency, creative quality, and audience relevance are crucial for this purpose.
Frequency of exposure should be monitored in the context of actual results. If a person sees the same ad multiple times, additional exposures won't necessarily yield additional benefits. At the same time, too infrequent exposures may not generate sufficient brand engagement.
For reach objectives, impressions, reach, CPM, and other related metrics are evaluated. These are considered together, as a low-cost CPM alone doesn't answer the question of whether the audience was relevant.
Follow-up communications are suitable for users who have already interacted with the company. These could be visitors to specific pages, customers, registered users, or other segments for which the business has accurately collected data.
Google's current terminology replaces some of the previous remarketing language with the concept of segments based on first-party data. Such segments can include people who visited a website or used an app.
Scenarios need to be differentiated. A person who viewed one blog page and a user who abandoned a shopping cart typically require different ads and offers. This segmentation helps to more accurately allocate budgets and compare results.
The Display Network can complement search advertising, Performance Max, YouTube advertising, and other PPC channels. Users often experience several ad interactions before making a request or purchase, especially in niches with long decision cycles.
For example, a person might first see a Google banner ad, then independently search for the company by name, and later return through a search campaign. If only the last click is measured, the role of the first contact will go unnoticed.
To analyze such chains, we use data from the advertising account, Google Analytics 4, and configured attribution. Conclusions are best drawn based on several metrics and user behavior after the click.
Display advertising is more often used by companies with a clear product, a working landing page, and the ability to measure target actions. Business size alone does not determine the suitability of the channel.
Results depend more on demand, the quality of the initial data, the audience, creatives, and the economics of the product. Before launching, it's important to determine the role of display advertising relative to other traffic sources.
Online stores can use Google Display Ads to introduce users to their product range, promote specific categories, and re-engage website visitors. Accurately communicating purchase data and its value is especially important for e-commerce.
It's advisable to segment based on user behavior. Homepage visitors, product page viewers, buyers, and users with unfinished shopping carts are all at different stages of choosing.
With high-quality analytics, you can evaluate not only cost per click, but also revenue, number of transactions, CPA, and ROAS. This helps you make budget decisions based on sales rather than visit volume.
Google display advertising is suitable for healthcare, education, real estate, repairs, professional services, and some B2B services. In these niches, customers often compare several options and return to the decision a few days later.
The primary target action depends on the business: a call, form completion, booking, quote, or consultation request. It's best to set up these events before the campaign starts generating significant traffic.
The landing page is checked separately. If the offer is unclear, the form doesn't work on a mobile device, or the user doesn't understand the next step, additional advertising traffic won't fix the problem.
Real estate, expensive equipment, complex B2B services, and education rarely sell after the first page view. Between the initial contact and the inquiry, a user may browse several websites, discuss the purchase, and return later.
A display campaign helps maintain contact with this audience. However, displaying the same ad to all visitors isn't always practical. It's more useful to consider the stage of engagement and the content of the pages the user has already viewed.
Such projects require accurate analytics. The last source before the request doesn't always reflect the entire customer journey, so it's advisable to compare advertising account data with GA4 and CRM, if used.
A new product may not yet have a significant volume of brand and commercial searches. In this situation, it's difficult to achieve broad reach with search advertising alone, as demand is limited by existing user queries.
Display formats offer the opportunity to introduce an offer to the right audience earlier. Clear visuals, a specific message, and a well-targeted user segment play a key role.
After launch, you need to monitor how your audience responds to your ad and what happens after they click through. A high number of impressions without further interactions may indicate that you need to reconsider the creative, the audience, or the offer itself.
Launching the Google Ads Display Network without configured goals and analytics complicates optimization. The system receives traffic, but advertisers don't understand which users submit requests, make purchases, or perform other useful actions.
A weak landing page also poses a problem. If the mobile version takes a long time to load, the offer is unclear, or the form doesn't work, increasing the advertising budget usually increases the number of lost visitors.
An audience that's too small limits reach, while one that's too broad can waste resources on users with a low likelihood of converting. Repetitive creatives, lack of testing, and incorrect optimization goals create additional risks.
Before launching, we check the "audience - offer - ad - landing page - conversion" relationship. If there's a clear issue, we fix it first or take the limitation into account when planning the campaign.
The Display Network uses several types of advertising materials. The choice depends on the campaign's objectives, the available advertising inventory, and the extent to which the advertiser desires to control the ad's appearance.
Most projects require a set of images, logos, ad headlines, descriptions, and a clear call to action. The creative should be easily viewed across various screen sizes and not rely on small text within the image.
In responsive format, advertisers upload images, logos, headlines, descriptions, and, if necessary, videos. Google creates various combinations of assets and adapts them to available ad spaces.
This format reduces dependence on a set of pre-prepared, fixed-size banners. The system receives multiple media options and can select a combination for a specific placement.
When preparing assets, keep in mind that elements can be combined with each other. The title and description should retain their meaning in different combinations, and the images should remain understandable even after changing proportions.
Google banner ads use pre-designed image ads. This option is suitable when advertisers require greater control over the composition, placement of elements, and the final appearance.
The designer prepares a separate file for each required format. As a result, the advertiser receives a predictable layout, but the number of available placements may depend on the sizes prepared.
For a banner, what matters is a legible key message, a visual accent, and a connection to the landing page. Avoid using the image to convey the entire text of the offer: the user should grasp the main idea within a short period of contact.
Google supports uploaded image ads and a number of more complex formats. These have requirements for file types, sizes, weight, and technical structure. Images can be uploaded in supported formats, and HTML5 is used via prepared ZIP files if Google's terms are met.
These ads are needed when the standard responsive format is insufficient or the design must follow a pre-defined scenario. Before producing creatives, it's important to check Google's current specifications, as technical requirements are subject to change.
Given the Google Display Ads transition to Demand Gen, certain features are also being migrated in stages. For example, Google indicates that some HTML5 features for GDN in Demand Gen are being rolled out as part of the migration.
There's no single set for all campaigns. For one project, responsive display ads are sufficient, another requires separate static banner ads, and yet another benefits from a combination of several creative types.
When choosing, we consider the task, available materials, audience, and advertising account capabilities. If a business requires a strict, branded layout, uploaded ads offer more control. If broad reach across multiple ad spaces is a priority, responsive formats are usually more convenient.
At the start, it's a good idea to prepare several versions of images and messages. Once data is collected, weak creatives are replaced, and strong ones are developed in subsequent iterations.
Targeting determines which users or contexts are considered when placing ads. Google Ads supports audience, demographic, contextual, and automated mechanisms.
Settings are selected based on the campaign's objectives. One set of conditions is used to attract new audiences, while another is used to re-engage visitors. Mixing all users in one group complicates analysis and budget management.
An audience segment is a group of users defined by the system based on available characteristics and signals. In Google Ads, audiences can take into account interests, intent, demographics, and user interactions with the business.
Segments help categorize potential customers based on the advertising objective. For example, for a single product, you can target new audiences separately from those who have already visited the site.
During the analysis, the cost and quality of each group's results are compared. If one segment consistently spends budget without producing useful results, its settings are reviewed after sufficient data has been accumulated.
A user's interest and expressed intent to purchase a product are at different levels of readiness. A person may regularly read materials about cars but not plan to buy a car anytime soon.
For a campaign, this means that a single, large group with a common theme isn't always suitable for generating leads. The closer the advertising goal is to a sale, the more careful you need to be about the quality of the signals you select.
In some projects, it's useful to launch different ad groups for broader interests and for stronger commercial intent. Their results are then compared based on conversions and cost per acquisition.
Demographic targeting helps take into account available data on age, gender, and other audience characteristics. Such restrictions should only be used when they are aligned with a real business objective.
Strictly excluding a large portion of users without data can artificially reduce reach. For example, a business owner's assumptions about the age of their customers sometimes diverge from the actual analytics data.
Therefore, it's better to base demographic adjustments on statistics rather than a general understanding of the target audience. After launch, the data is regularly reviewed.
Remarketing targets people who have already interacted with a website, app, or other available data sources. These users are familiar with the company, so the message you deliver to them may differ from advertising to a cold audience.
Google is gradually using the term "your data" for segments based on advertisers' own data. The principle remains clear: businesses create user groups based on available and accurately collected interactions.
When setting up, consider privacy, advertising platform requirements, and the limitations of specific topics. Having the technical ability to create an audience doesn't necessarily mean it can be used for any advertising scenario.
A business's first-party data helps you reach users who have already shared data they consented to be used or interacted with your digital assets. Specific capabilities depend on the data source and Google's policies.
Such segments are especially useful when the advertiser has sufficient, high-quality customer data. However, the source database must be accurate, and the transfer and use of the data must comply with platform requirements and applicable privacy policies.
Having a database alone doesn't guarantee good results. It needs to be properly segmented and linked to the right offer.
Optimized targeting helps the system find users beyond the initially defined signals if the algorithm sees an opportunity to achieve a result within the campaign objective. Google allows this expansion to be either on or off, depending on the scenario.
Automation requires high-quality input data. If the primary conversion is a low-value action, the algorithm will tend to capture those events.
Therefore, setting up the Display Network doesn't start with the automation switch. Business goals are defined first, events are verified, and only then is the appropriate algorithm management level selected.
Setting up Google Display Network ads doesn't end with publishing. Once launched, you'll gain real data on audiences, placements, cost per click, and conversions that's unavailable before ads start running.
Based on these statistics, the campaign structure is adjusted. Some segments receive a larger budget, others require additional restrictions, and individual creatives are replaced after sufficient data has been accumulated.
Placement reports help you understand where ads were actually shown. Clicks alone don't make a placement useful: you need to look at subsequent user behavior and target actions.
If certain placements consistently generate low-quality traffic without conversions, they can be analyzed separately and excluded if necessary.
It's best not to make a decision based on a single random click. A small sample size can easily create a false impression about a particular site's effectiveness.
We compare audiences based on costs, conversions, CPA, and other metrics relevant to the project's goals. We also consider new audiences and users already familiar with the website separately.
If one group is performing poorly, we check its size, creative, offer, and landing page. Sometimes the problem isn't with the audience itself, but with the message it's receiving.
This type of analysis helps to gradually reduce non-targeted spending and direct the budget to areas where the statistics look stronger.
A single set of advertising materials is rarely used unchanged throughout the entire campaign. Users become accustomed to images, offers change, and statistics show differences between variations.
You can test the visual idea, offer, headline, and call to action. However, it's best not to change too many elements at once, otherwise it's difficult to determine the cause of the change in results.
New options are added after assessing current statistics, not simply based on the calendar.
The budget is reallocated after analyzing actual results. If the campaign consistently achieves the desired results at an acceptable cost, we can consider increasing spending and subsequently monitoring performance.
Rapid scaling can change the behavior of the automated strategy, so budget increases should take into account the current data volume.
We also check budget restrictions and selected bidding goals. In August 2026, Google updated some of the optimization logic for campaigns with target bidding strategies, so the current settings in your account must be taken into account when making changes.
The number of clicks indicates interest in an ad, but it doesn't indicate whether the user completed the desired action. Therefore, we focus primarily on properly configured conversions.
For a service, this could be a submitted request or a call; for a store, it could be a purchase; for SaaS, it could be registration or another agreed-upon stage of the funnel.
We regularly check for duplicate events and make sure the form's functionality hasn't changed after a website update. Analytics errors can distort reporting and the training of automated strategies.
The set of KPIs depends on the campaign's objective. For reach advertising, audience engagement metrics are prioritized, while for lead generation or sales, conversions and their cost are paramount.
You can't evaluate a campaign solely by CTR. A high click-through rate looks attractive in a report, but it doesn't compensate for a lack of sales or high-quality leads.
| Metrics | What does it show? |
|---|---|
| Impressions | how many impressions the ads received |
| Reach | how many users the ad reached |
| Frequency | how often the audience saw the ads |
| CTR | what proportion of impressions resulted in click-throughs |
| CPC | average cost per click |
| CPM | cost per thousand impressions |
| Conversions | number of target actions |
| Conversion Rate | the proportion of clicks or interactions that resulted in conversion |
| CPA | cost of one target action |
| ROAS | revenue to advertising cost ratio |
The logic of evaluation can be represented as a sequence:
Impression → interaction with ad → clickthrough → action on site → conversion → economic result
Google Ads also allows you to analyze post-view conversions and use attribution data, so the impact of display campaigns can sometimes extend beyond direct clicks on an ad.
A user sees a banner ad for only a few seconds, but the outcome depends on the entire chain after the impression. The audience must be aligned with the product, the offer must be clear, and the landing page must continue the ad's message.
If one element is underperforming, increasing the number of impressions rarely solves the problem. A good creative can lead a visitor to an inconvenient page, and a high-quality page won't compensate for impressions to a random audience.
Therefore, setting up the Google Display Network involves working with targeting, ads, analytics, and conversions. After launch, these elements are verified against actual data and adjusted.
This approach allows us to understand the root cause of the results. Instead of concluding that "banners are performing poorly", we can identify the specific segment, placement, or step on the site that requires changes.
Display advertising is often integrated into an overall PPC strategy. Search campaigns, Google Shopping, Performance Max, remarketing, and other Google Ads formats can be used simultaneously.
If you want to tap into existing demand, the bulk of your budget can be directed toward Google Search Ads. For online stores, Google Shopping and product campaigns are considered separately.
Performance Max is suitable for tasks where a business needs to manage multiple Google ad surfaces simultaneously as part of an automated campaign. A PPC audit is performed for a detailed review of an existing account.
The choice of channels depends on the product and the goal. It's not necessary to use all available formats simultaneously: the role of each channel is determined first, and then the budget is distributed among the campaigns.