Performance Max is used when businesses need to drive sales, leads, or other targeted actions through Google advertising platforms. The campaign uses automatic bidding and distributes impressions based on the set objective, conversion data, ad assets, landing pages, and other signals.
PMax results are highly dependent on the data the algorithm receives before launch. Incorrect conversion goals, a weak product feed, inappropriate pages, or excessively strict bid limits can significantly degrade campaign performance. Therefore, Performance Max setup begins before the specialist even clicks the campaign creation button.
Google Performance Max is a Google Ads campaign type that uses automation to find users who are highly likely to take a desired action. Advertisers set goals, conversions, budgets, bid strategies, creatives, and other inputs, after which Google AI determines the appropriate impressions.
A single campaign can work with various Google ad inventory. The system takes into account landing pages, product feeds, search intent, ad assets, audience data, and accumulated statistics. Therefore, the quality of the initial settings directly affects which users see ads and which actions the system prioritizes.
Performance Max can receive impressions on Google Search, Shopping, YouTube, Display Network, Discover, Gmail, and Google Maps. The specific allocation depends on the campaign objective, available ad assets, user behavior, and where the algorithm sees conversion opportunities.
The advertiser doesn't manually distribute the budget across all these platforms. The algorithm automatically selects available inventory and ad asset combinations. Therefore, when working with PMax, the overall campaign performance, search categories, product data, asset groups, and conversion quality are typically analyzed.
In a classic Search campaign, a specialist defines keywords, ads, and ad group structure, then manages queries using match types and negative keywords. Performance Max uses a broader set of signals and can find relevant traffic without a classic keyword list.
Search and PMax can operate in parallel. Google prioritizes campaigns, and exact keyword matches in a search campaign are prioritized over Performance Max in certain situations. Therefore, launching PMax does not automatically mean abandoning your existing search ads.
Search Themes help inform Google about the queries and topics that potential customers are interested in. They complement the information the algorithm receives from your website, ad assets, product feed, and accumulated statistics.
You can add up to 50 Search Themes to a single asset group. They remain an additional signal, so they don't function as a regular semantic core for a Search campaign and don't limit impressions to specific keywords. Negative keywords and other available exclusions continue to apply.
Setting up an advertising campaign begins with an analysis of the product, website, and existing Google Ads account. A specialist reviews the campaign goals, conversion tracking, website structure, product data, and existing statistics, and then determines the appropriate PMax structure.
Next, we configure asset groups, Final URLs, audiences, search topics, budget, bid strategy, ad assets, and any necessary restrictions. For an online store, we also check Merchant Center and the product feed, and for lead generation, we check how accurately inquiries are passed to the account.
| Stage | What we check and configure | Why is this necessary? |
|---|---|---|
| Analytics | Google Ads, GA4, conversion goals, enhanced conversions | Send the correct business signals to the algorithm |
| Structure | Campaigns, Asset Group, Product Groups | Separate business lines with different unit economics |
| Creatives | Headlines, descriptions, images, videos | Give the system enough ad options |
| Targeting | Geography, Search Themes, audience signals | Refine your search for potential clients |
| Control | URL, negative keywords, Brand Exclusions | Reduce the share of unwanted impressions |
| Optimization | CPA, ROAS, leads, sales, search queries | Adjust the campaign after collecting data |
After preparation, the campaign undergoes pre-publication testing. This process reduces the risk of a situation where the budget has already been spent, and a specialist only discovers incorrect conversions, a problematic feed, or inappropriate pages after the campaign launch.
I don't launch Performance Max immediately after creating an ad account. I first check which actions are being reported to Google as conversions, where the ads might lead, and whether the system has enough data for proper optimization. If the initial signals are faulty, increasing the budget usually only reveals the problem more quickly.
In the Google Ads interface, individual elements and setting names change over time, but the launch logic remains consistent. First, the result is determined, then the system receives data, restrictions, ad assets, and budget, after which the campaign can be submitted for moderation.
Performance Max configuration should take into account the project's economics. A one-size-fits-all configuration for a store, a clinic, and a B2B service is usually inappropriate, as these projects have different decision cycles, conversion values, and acceptable customer acquisition costs.
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.
E-commerce · international
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%.
Medical centre · Ukraine
Narrow visibility and a small semantic core at the start. Semantics, landing page structure, metadata and internal linking, then gradual link building.
Google notes that automated strategies typically require about one to two weeks to learn, and in some cases the process can extend up to six weeks. After significant changes, the system also requires time to adapt.
The approximate sequence looks like this:
Launch → primary data → strategy learning → accumulation of stable statistics → regular optimization.
This sequence does not mean that the campaign cannot be monitored earlier, but drawing sweeping conclusions based on the first few days is often premature.
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Setting up Google Shopping and Merchant Center for online stores: product feed, Google Ads integration, Shopping and Performance Max launch, analytics, optimization, and management.
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Performance Max is a Google Ads campaign type that automatically selects bids, ad inventory, and asset combinations based on set objectives. The system uses conversion data, landing pages, ad assets, product feeds, and other available signals.
The advertiser retains control over key input parameters. They define goals, budget, bid strategy, geography, asset groups, Search Themes, negative keywords, and other settings available for a specific campaign.
The cost depends on the status of the advertising account and the scope of preparation work. For a small project with a single service, the scope of setup will differ from that of an online store with a large catalog, multiple product lines, and complex analytics.
The price is also affected by conversion settings, Merchant Center, product feed, number of Asset Groups, creative preparation, and CRM integration. Therefore, a reliable estimate is possible after reviewing the initial project structure.
There's no universal minimum budget for all niches. It should be tied to the average cost per conversion, acceptable CPA, margins, geography, and the number of sales or leads the business wants to generate.
Too small a budget can limit data volume, and a high budget alone won't solve setup issues. First, you need to ensure the system is getting the right conversions and is serving relevant landing pages.
Automated strategies typically take about one to two weeks to learn, but Google notes that in some cases the process can take up to six weeks. The duration depends on the amount of data, conversion rate, and campaign settings.
After significant changes, the system also requires additional time to adapt. Therefore, it's better to evaluate the results over a sufficient period rather than comparing a few days before the change with a few days after.
Yes, because Google Performance Max isn't just used for product ads. Campaigns can be run for services, lead generation, and other purposes where Merchant Center and a product feed aren't required.
For online stores, Merchant Center plays a much more significant role. It transmits catalog data used for product display, so before launching a store, the account and feed status are always verified.
PMax doesn't require a standard keyword list like a Search campaign. Google uses landing pages, creatives, feeds, accumulated data, and other signals to find relevant search queries.
Advertisers can also use Search Themes and negative keywords. Search themes help pinpoint demand trends, while negative keywords block unwanted queries from the available Search and Shopping inventory.
Yes, Google supports negative keywords at the Performance Max campaign and account level. They apply to Search and Shopping inventory and help exclude queries that aren't relevant to your business or generate unwanted traffic.
For branded queries, it's best to consider Brand Exclusions separately. This mechanism takes into account variations of the brand name and is designed for situations where the advertiser wants to control their own or other branded traffic.
Not necessarily, as Search and PMax solve related but different problems. Search campaigns offer more direct control over keywords and structure, while PMax uses automated ad distribution across multiple inventory types.
Many accounts operate both formats in parallel. The specific structure depends on demand, budget, product range, accumulated statistics, and the level of control a specialist requires over individual advertising areas.
Google Performance Max can be used for sales and leads if the algorithm receives accurate goals, conversions, landing pages, product data, and advertising materials. The better the initial data, the easier it is to evaluate results and identify areas for further optimization.
If your current PMax campaign is spending budget without clear results or you need to launch a campaign from scratch, start by reviewing your analytics and account structure. Request a Performance Max setup – a Seo-Gen specialist will review your initial data, prepare your campaign structure, and determine which settings need to be adjusted before launch.
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In Google Ads, create a new campaign and select a goal that aligns with your business objectives. Performance Max is available for sales, leads, website traffic, local store visits, and some other scenarios, and can also be created without goal suggestions.
Before proceeding, you should check which conversion actions will be used in this campaign. If your account has accumulated many old or technical goals, don't automatically migrate them to the new structure without checking.
Conversion goals determine which result the system will attempt to achieve most frequently. For an online store, it's logical to consider the purchase and its cost, while for lead generation, it's actions that accurately reflect actual inquiries.
When different types of leads have different values, it's advisable to take this into account in analytics and data transfer. Otherwise, the algorithm may favor the maximum number of low-cost leads, even though the business actually needs more expensive, high-quality leads.
The bidding strategy depends on what is being passed to the advertising account. When working with the volume of requests, conversion maximization is most often used, while when passing revenue or varying order values, you can optimize for total value.
It's best to set your target CPA or ROAS based on your actual project data. An excessively high tROAS or too low tCPA can limit your campaign's participation in auctions and reduce traffic volume. Google recommends adjusting such restrictions gradually.
This strategy is suitable when the primary goal is to achieve more targeted actions within the available budget. The system automatically calculates bids for each auction and assesses the likelihood that a user will complete the selected conversion.
This approach is convenient for requests and other goals where each primary action has roughly comparable business value. However, the result still needs to be assessed based on the quality of the requests, as the same number of leads can generate different revenues.
This strategy takes into account the value conveyed by actions. For an online store, it can use the order value, allowing the algorithm to differentiate between purchasing an inexpensive item and a larger order.
Before using, verify that the revenue and currency are correct. Incorrect conversion values distort the signal more than a lack of additional detail, as the system begins to optimize bids based on incorrect commercial data.
Target CPA sets a benchmark for conversion cost, while Target ROAS defines the desired ratio of conversion value to advertising costs. Both parameters affect the flexibility of the automated strategy and require realistic starting values.
If the limit is significantly more stringent than the account's previous statistics, the campaign may receive less traffic. Therefore, target metrics are adjusted gradually and compared with actual sales performance, rather than being chosen solely based on desired results.
The advertising budget is calculated taking into account conversion cost, margins, sales frequency, and demand volume. The same amount may be sufficient for a local service and practically unnoticeable in a competitive online store with a wide selection.
After launch, don't evaluate Performance Max solely based on the first few days' spending. The new automated strategy collects data and adapts, so frequent budget changes make it difficult to compare periods and understand the campaign's true performance.
The geography must coincide with the territory where the company actually sells goods or provides services. For delivery within Ukraine, the logic will be different than for a local clinic, store, or service center.
When setting up, additional location parameters and user languages are also checked. Excessively broad geotargeting can drive traffic from regions where the business cannot fulfill orders or provide the service it claims.
The final URL defines the primary landing page for an asset group. Performance Max also supports final URL expansion, which allows the system to select other relevant pages on the site based on the user's search intent.
This feature should be used wisely. If a site contains old, service, or weak pages, first check the available URLs and exclude addresses that should not receive advertising traffic.
Typically, they check login pages, privacy policies, shopping carts without items, technical URLs, and other documents that are unsuitable as advertising landing pages. Informational materials are assessed separately, as some articles may serve the user's commercial intent.
Automatically banning an entire blog isn't necessary. If a specific piece of content helps people choose a product or service and leads to conversions, it may be useful, so the decision is based on the page's content and analytics data.
An Asset Group contains ad assets related to a single topic. Google recommends assembling groups around a common theme, similar to the thematic logic of ad groups, to ensure consistency between text, images, and landing pages.
For a store, groups can be divided by product category, brand, seasonality, or margin. For services, business lines are often used, such as separate Asset Groups for different procedures, types of repairs, educational programs, or other stand-alone services.
Headlines, long headlines, descriptions, images, and videos are added to the group. At the time of writing, Google allows a maximum of 15 regular headlines, 5 long headlines, 5 descriptions, 20 images, and 5 videos in a single Asset Group.
It's best to differentiate content while maintaining a consistent message for the user. Several nearly identical headlines provide the system with fewer useful options than texts with different arguments, products, features, and calls to action.
Audience signals help Google quickly understand which users might be of interest to advertisers. Custom segments, Customer Match, remarketing, and other available data can be added to signals, but this doesn't turn the selected audience into a hard cap on impressions.
The algorithm can find users outside the original segment if it predicts a high conversion probability. Therefore, audience signals should be considered as a focus for machine learning, with the results monitored against actual sales and leads.
First-party data typically includes website visitors, customers, shopping cart users, and customer lists obtained legally by the company. This data can help the system more quickly recognize the characteristics of audiences that have previously interacted with the business.
High-quality customer segments, where the commercial outcome is clear, are especially useful. A list of random visitors can provide a less accurate signal than an audience of real buyers or customers with confirmed inquiries.
Custom Segments are used to convey additional information about audience interests and intent. When creating a segment, it's important to select topics and search behaviors that are truly related to the product or service being offered.
There's no need to create dozens of nearly identical segments for the sake of quantity. It's better to give the algorithm a few clear directions that reflect demand, and then analyze campaign performance alongside other signals and conversion data.
Demographic characteristics and interests can complement audience insights when such parameters are truly product-related. Their usefulness varies across niches, so parameters should be selected based on actual customer behavior.
Overly narrow assumptions can limit a specialist's view of demand. If current customers vary in age or interests, it's better to rely on project statistics rather than trying to define the ideal client too rigidly in advance.
Search Themes provide the system with topics and phrases related to potential customers' queries. They are useful for new products, niche services, and situations where the landing page or accumulated statistics don't yet fully reveal the demand.
Each object group allows up to 50 search topics, but there's no need to fill the limit at any cost. It's best to use meaningful wording and avoid creating a large number of close duplicates that describe the same user interest.
Performance Max supports negative keywords for Search and Shopping inventory. These help eliminate unwanted search queries, but overly broad lists can also eliminate valuable traffic, so changes should be made after analyzing actual queries.
Brand Exclusions are used to manage branded queries. They allow you to exclude your own brand, a competitor's brand, or another brand, as long as this logic fits the structure of your advertising account and doesn't interfere with the desired product impressions.
Before publishing, you should double-check your goals, conversions, bid strategy, budget, geography, URL, Asset Group, ad assets, audience signals, and Search Themes. For e-commerce, you should also check the connection to Merchant Center and the availability of the selected product groups.
After launch, actual data collection begins, so further decisions are made based on statistics. At this stage, the Google Ads Performance Max setup transitions from a technical launch to monitoring and consistent optimization.
Performance Max can be used for online stores, service companies, and projects where advertising goals are measured by specific actions. Campaigns work with sales, leads, website traffic, and some local objectives, but the setup should take into account the business model and available data.
PMax is most effective when the advertiser is able to accurately convey results to the system. For a store, this means a purchase and order value; for services, this means a qualified inquiry, call, appointment, or other confirmed lead. The more accurately the results are measured, the clearer the optimization path is for the algorithm.
For e-commerce, Google Performance Max often works in conjunction with Google Merchant Center. In this case, the campaign receives data from the product feed: product name, image, price, availability, category, and other characteristics used to generate product ads.
The product range can be divided by category, brand, seasonality, profitability, or other commercial criteria. This structure helps analyze product groups separately and avoid lumping products with different margins, demand, and customer acquisition costs together.
In services, the primary goal is to correctly transfer leads. Submitting a form alone doesn't always mean a useful request, so whenever possible, it's important to consider the quality of inquiries, calls, appointments, and other events that correlate with actual business results.
Offline conversions and enhanced conversions can be used for CRM-based projects. This data helps link ad-driven inquiries to subsequent results, provided the project's technical infrastructure allows for the correct transfer of information back to the advertising account.
Problems arise when an advertising account doesn't receive reliable data. If the primary conversion is pageviews, random clicks, or other weak signals, machine learning will optimize for these actions, even though the business is expecting a sale or lead.
You should also check your landing pages, Merchant Center, product feed, mobile version of the site, forms, and ad creatives. Conversion history helps the algorithm navigate more quickly, but Google doesn't require a specific number of previous sales to create a PMax campaign.
Preparation determines the quality of the data the algorithm will learn from. Before launch, it's important to understand what action counts as a result, how much it might cost the business, and which pages are suitable for attracting paid traffic.
Technical data sources are checked separately. Google Analytics 4, Google Ads, Merchant Center, and CRM must transmit consistent information; otherwise, advertising may appear successful in the dashboard but yield poor commercial results.
For a store, the primary goal is usually a purchase with the associated conversion value. For services, form submissions, phone calls, appointments, and qualified leads, which have genuine commercial value, are more often used.
Micro-conversions can be saved for analysis, but don't automatically make every small action the primary optimization target. If the system gives the same priority to a contact view and a confirmed order, it's more difficult to understand the true value of each user.
Before launch, they check whether conversions are triggered once at the right time, whether the order value is transmitted, and whether the data between the advertising account and analytics matches. For an online store, the correct transmission of the transaction ID and revenue is especially important.
With the right technical implementation, you can integrate enhanced conversions, offline conversion import, or CRM data. This approach is useful in niches where several steps occur between the first inquiry and the sale, and a simple website form doesn't necessarily reflect the quality of the client.
An advertising page should match the user's intent and provide a clear next step. Before launch, check the content, prices, product range, terms and conditions, forms, contact information, mobile version, and loading speed.
You also need to ensure that the page doesn't contradict the ad. If the ad leads to a service that isn't actually listed on the page, or to a product without an up-to-date price or availability, automation won't bridge the gap between user expectations and the website content.
For product campaigns, Merchant Center status, disapproved items, and key feed fields are checked. Product names should help Google recognize the product, and images, prices, and availability should match the information on the website.
It's best to consider the feed as one of the primary data sources for e-commerce. Errors in the product name, category, or availability can impact the quality of product impressions, so it's checked before PMax actively spends the advertising budget.
An Asset Group should contain text, images, logos, and videos that align with the specific theme of the group. Google recommends adding a variety of options and allows up to 15 headlines, 5 descriptions, 20 images, 5 logos, and 5 videos per Asset Group.
It's better to upload your own high-quality content in different formats. This way, the system gets more options for different platforms, and the advertiser has more control over the ad's appearance and is less dependent on automatically generated videos and images.
In an online store, the quality of product data is crucial. Google needs to understand what's being sold, how much it costs, whether it's available for order, and which URL corresponds to which item. Therefore, Merchant Center status is checked along with the advertising campaign.
Performance Max Google Ads for e-commerce should be built with product assortment economics in mind. If products vary in margin, seasonality, and average order value, combining the entire catalog into a single management logic complicates performance analysis.
Google Ads and Google Merchant Center accounts are linked so the campaign can use product feed data. Before launch, they check diagnostics, disapproved products, price compliance, and landing page availability.
It's also important to monitor data updates. If prices or inventory on the website change, and the feed continues to transmit old information, this can lead to issues with the quality of product advertising and the moderation of individual offers.
The product range can be divided by category, brand, margin, seasonality, or other parameters that help with budgeting decisions. For one project, managing best-sellers separately may make sense, while for another, dividing the product range by major product categories may make sense.
An overly granular structure also hinders work if individual segments receive insufficient data. Therefore, the level of detail is chosen so that each group has a clear business logic and sufficient traffic volume for analysis.
The product title must accurately describe the offer and contain characteristics that help both the user and Google recognize the product. Images, category, brand, price, availability, and other required or useful attributes are also checked.
Working with the feed continues after the campaign launches. Using sales data and search demand, you can identify groups that require more precise descriptions, a separate structure, or product information adjustments.
When it comes to lead generation, the main challenge is the quality of the leads. A campaign may show a good cost per form, even though managers are receiving irrelevant leads. Therefore, advertising metrics need to be tied to the actual processing of leads.
Setting up PMax for services typically requires more rigorous verification of goals and landing pages. Users must understand the offer before submitting the form, and the advertising account must receive a signal specifically about the useful action.
The conversions that are close enough to a commercial outcome should be prioritized. This could be a confirmed form submission, a call of the required length, a service booking, or a qualified lead, if this information is transferred from a CRM.
Sub-actions can continue to be measured separately. While viewing multiple pages or clicking a button can sometimes be useful for analytics, they shouldn't be automatically equated to a full lead.
The first step is checking the spam source and the request form. Sometimes the problem can be mitigated by additional field validation, form security, and a more precise service description that filters out inappropriate audiences before the request is submitted.
If your CRM allows you to differentiate between high-quality and low-quality leads, it's a good idea to use this information in optimization. This way, Google receives a more accurate signal and is less likely to focus on cheap leads that don't turn into real deals.
After publishing, a specialist checks whether the budget is being spent, whether conversions are being recorded, and whether there are any technical errors. Initial data is needed primarily to ensure the campaign is configured correctly, so early fluctuations in CPA or ROAS don't yet provide a complete picture of effectiveness.
Key conclusions are drawn after sufficient statistics have been collected. Conversion rates, acquisition costs, order values, lead quality, product categories, and other metrics related to business objectives are compared.
Lead generation typically involves tracking the number of inquiries, CPA, and the quality of inquiries. For online stores, revenue, conversion value, ROAS, average order value, and the performance of individual product groups are also monitored.
CTR and cost per click can also be useful for diagnostics, but they don't determine PMax's commercial results on their own. A campaign with a higher cost per click sometimes generates more profitable orders, so these metrics are evaluated in conjunction with each other.
Asset Group reports help you see the health of your ad assets and identify areas that need to be reconsidered. Google recommends not replacing weak assets immediately after launch and giving the system a few weeks to accumulate data.
When analyzing, it's important to look beyond the individual asset's rating. A creative may have a weak internal rating but belong to a group that generates the desired sales, so it's best to link changes to the overall campaign statistics.
| Period | What's happening |
|---|---|
| The first 24–48 hours | Initial data appears, ads are verified |
| Approximately 1-2 weeks | Smart Bidding actively learns from new signals |
| Up to 6 weeks in individual cases | Learning takes longer when data volume is limited or conditions are complex. |
Changes are justified once data has been accumulated and the rationale for the adjustments is clear. If a campaign is limited by budget with acceptable economics, scaling can be considered, but if the cost of acquisition is high, conversion quality and settings should be checked first.
Frequent, abrupt changes to your budget, Target CPA, or Target ROAS make it difficult for your automated strategy to learn. Google specifically recommends avoiding large, ongoing adjustments during the learning period and adjusting your goals gradually.
Optimization begins with data verification, as the advertising account doesn't always directly reveal the cause of poor results. You need to compare conversion cost, lead quality, search queries, feed, landing pages, and the performance of individual campaigns.
Changes are then made sequentially. If you simultaneously replace all creatives, change the budget, bid strategy, geography, and objectives, it will be difficult to understand which specific decisions influenced the results.
New texts and images are created based on effective themes and selling points. There's no need to replace the entire set just for the sake of updating, as strong advertising assets can continue to deliver results over the long term.
After changing assets, Google recommends giving the system time to re-evaluate. It's best to compare results after statistics have accumulated, rather than several hours after uploading a new banner or video.
Search themes should be reviewed when product offerings change, new services are introduced, or accumulated data reveals additional demand trends. However, Search Themes remain signals, so don't expect them to behave like regular keywords.
Duplicate and nearly identical wording doesn't provide any additional value. It's better to choose topics that describe different demand groups and help the algorithm understand areas that are important to the business.
Search demand reports help identify irrelevant directions and new customer phrasings. If certain queries regularly waste budget without commercial merit, consider campaign-level or account-level negative keywords.
Exclusions should be added carefully, as overly broad negative keywords can block valuable traffic. For branded queries, Brand Exclusions are specifically designed to manage impressions for specific brands.
As statistics accumulate, you can identify products and categories that are receiving impressions but delivering weak results. For these, the product name, features, images, price, availability, category, and landing page relevance are checked.
It's also worth monitoring Merchant Center disapprovals. If some of your product range is no longer eligible for advertising due to a feed error, bid optimization alone won't restore these products to normal performance.
New Asset Groups are created when there's a specific theme, category, or offer that requires its own set of creatives and landing pages. Dividing groups just for the sake of increasing the number of groups rarely improves campaign manageability.
On the other hand, mixing unrelated products also complicates analysis. The structure should help understand which budget is allocated and what advertising materials are used for a specific offer.
Analytics errors can appear after launch due to changes to the website, form, checkout, or tagging system. Therefore, conversion goals are periodically tested manually and compared with data from the CRM, GA4, or the store's internal system.
Double-triggering of purchases or leads is especially dangerous. In this case, Smart Bidding receives an inflated number of results and makes decisions based on statistics that differ from actual sales.
First-party data helps supplement campaign signals with information about real customers and visitors. With suitable lists, you can use Customer Match, remarketing, and other approved audience management methods.
The quality of a segment is more important than its nominal size. A database of real customers usually contains a more clear commercial signal than a broad audience of users who randomly visited a single website page.
Most problems arise not from the PMax format itself, but from incorrect source data or too little post-launch monitoring. Performance Max setup requires checking multiple related elements, as an error in one can impact the entire campaign.
Most often, problems are found in analytics, feeds, goals, and structure. Therefore, when auditing a campaign, it's best to move from the basic data to individual ad assets, rather than starting with cosmetic changes to headlines.
The main errors look like this:
After creating the list, it's time to identify a few errors that have the greatest impact on results and address them sequentially. This approach helps you see the impact of a specific change and prevents campaign optimization from becoming a series of random actions.
Professional Performance Max setup is essential when a business wants to launch a new campaign, rebuild a weak structure, or validate an existing account before increasing its budget. The process begins with goals, analytics, website, and accumulated advertising data.
Next, the specialist creates the campaign structure, configures conversions, asset groups, Search Themes, audience signals, Final URL, bid strategy, and advertising budget. For online stores, Merchant Center and feed are additionally checked, and for lead generation, the quality of the incoming requests is assessed.
This approach is suitable for projects that require a manageable Performance Max setup with clear control points after launch. The configuration is tailored to a specific business model, geography, average order or lead value, and available data volume.