What is Google Ads and why is it still the most relevant advertising platform?

Google Ads is Google’s online advertising platform that allows you to display ads to users at the exact moment they search for a product, service or solution. Unlike other advertising channels, Google captures active purchase intent, rather than interrupting it.

With over 8.5 billion daily searches processed and a market share in search engines that exceeds 90% globally, Google Ads is not just another option within the digital advertising ecosystem. It is the channel with the largest scale of transactional intent available for any advertiser, regardless of their size or industry.

This has a direct consequence for businesses, if your potential customers are searching for what you offer on Google, and you’re not appearing in those results, you are giving visibility to competitors who are investing. The real cost of not being on Google Ads is not the advertising budget. It is the demand that already exists and that you are not capturing.

What are the types of campaigns in Google Ads?

Google Ads is not a single tool. It is an ecosystem of advertising formats with different objectives, mechanics and distribution surfaces. Choosing the wrong type of campaign is one of the most common mistakes among advertisers who are just starting.

✔️ Search Campaigns: These are text ads that appear in Google’s search results when a user types a query related to your keywords. It is the most direct format for capturing existing demand. Ideal for services, products with active search and lead generation.

✔️ Display Campaigns: Visual ads (banners, images, rich text) distributed across Google’s network of websites. Useful for brand building, remarketing and reaching audiences who don’t yet know your product.

✔️ Shopping Campaigns: Specifically for ecommerce. They display product cards with images, prices and store names directly in search results. They require an updated product feed in Google Merchant Center.

✔️ Video Campaigns (YouTube): Video ads distributed on YouTube and Google’s Display network. They work for both awareness and remarketing to users who have already interacted with your brand.

✔️ Performance Max (PMax): The most automated format of Google Ads. A single campaign distributes budget between search, display, YouTube, Gmail, Maps and Discovery using audience signals and conversion goals. Offers scale, but at the cost of control and transparency.

💡 Tip: For most advertisers who are just starting, the recommendation is to begin with well-structured search campaigns before scaling to PMax or Display. Automation works better when the system already has historical data of real conversions.

What metrics really matter in Google Ads?

The most common mistake in reading Google Ads results is optimizing exclusively towards activity metrics (impressions, clicks, CTR) without connecting them to business outcomes.

✔️ CTR (Click-Through Rate): Percentage of users who click on the ad out of the total who see it. Indicates the relevance of the ad relative to the search query. A high CTR is not synonymous with a profitable campaign if the traffic does not convert.

✔️ CPC (Cost per Click): What you pay for each click. Varies by industry, competition level and Quality Score. An efficiency metric, not a profitability metric.

✔️ Quality Score: A score from 1 to 10 that Google assigns to each keyword based on the relevance of the ad, the experience on the landing page and the expected CTR. A high Quality Score reduces the CPC and improves the ad position without increasing the bid.

✔️ Conversion Rate: Percentage of clicks that complete the objective action (purchase, form, call). It is the metric that connects advertising investment with real results. A low conversion rate with a high CTR indicates a problem with the landing page, not the ad.

✔️ CPA (Cost per Acquisition): Average cost to achieve a conversion. The central metric for evaluating campaign efficiency from a business perspective.

✔️ ROAS (Return on Ad Spend): Incomes generated by each euro invested in advertising. Essential for ecommerce and any business where sales are the primary objective.

✔️ Impression Share: Percentage of impressions obtained out of the total impressions available for your keywords. Measures how much visibility you are capturing versus the real market potential.

💡 Tip: If you can only follow three metrics, choose conversion rate, CPA and ROAS. These are the only ones that tell you if you are winning or losing money with your campaigns.

What are Enhanced Conversions and why are they so important?

The Enhanced Conversions are a feature of Google Ads that improves the accuracy of conversion tracking by sending the user’s own data (email, name, phone number) in a hashed and anonymous way to Google so it can be crossed with its signals.

Its implementation responds to a structural problem, the growing limitation of third-party cookies, the blocking of trackers in browsers and the restrictions of Consent Mode under European privacy regulations. In this environment, traditional conversion tracking progressively loses coverage.

Enhanced Conversions allow you to recover conversions that would otherwise go unattributed, improve the signal that powers automatic bidding strategies (Smart Bidding) and reduce dependency on external cookies.

There are two technical variants of implementation. The first is through Google Tag Manager with data layer variables (dataLayer), which captures user data at the moment of conversion directly from the form or purchase process. The second is via the Google Ads Conversion API (server-side), which sends data from the advertiser’s server, eliminating reliance on the user’s browser.

💡 Tip: If you manage campaigns in markets of the EU with Consent Mode active, the Enhanced Conversions are not optional. Without them, the volume of reported conversions may be underestimated between 20% and 40% depending on the cookie acceptance rate of your site.

Why don’t the data from Google Ads and Google Analytics match?

This is one of the most important insights any advertiser needs to understand before making optimization decisions, Google Ads and Google Analytics 4 will always report different numbers. It’s not a configuration error. It’s structural.

The main causes are as follows:

✔️ Different attribution models: Google Ads attributes conversions by default with a model based on the click that triggered the ad, with attribution windows of up to 90 days. GA4 uses session or event-based attribution, with configurable models but generally more conservative.

✔️ Different conversion counting: Google Ads can count multiple conversions per click if the user completes the action multiple times. GA4 counts unique events per session based on the event configuration.

✔️ Data coverage: GA4 depends on browser cookies and user consent. In European markets, a cookie rejection rate of 40–60% means GA4 loses visibility over that percentage of sessions. Google Ads, with Enhanced Conversions active, can model those conversions by retrieving signals that GA4 doesn’t have.

✔️ Modelled conversions: When Google Ads activates statistical modelling to recover conversions not directly observed (due to lack of consent or technical limitations), the reported number includes estimates that GA4 does not incorporate.

The practical result is that Google Ads typically overattributes between 15% and 20% relative to GA4 when Enhanced Conversions and Consent Mode V2 are active. This discrepancy does not indicate that one is more reliable than the other. It indicates that they measure different things under different assumptions.

The implication for decision-making is clear, never use only one source to evaluate the performance of your campaigns. Triangulate Google Ads, GA4 and, if applicable, your CRM or order system data to build a complete picture. If you want to delve deeper into how to correctly measure your campaigns, we recommend reading our guide on how to measure AI traffic in GA4.

💡 Tip: Define a single source of truth for each decision. For bid optimization and budget allocation, rely on Google Ads data. For user behavior analysis and multi-channel attribution, use GA4. For actual revenue, use your CRM or backend.

What are the most common mistakes when advertising on Google Ads?

The majority of poorly utilized budgets in Google Ads respond to the same error patterns.

❌ Using broad match without a negative keyword strategy: Broad match activates ads for semantically related searches, not just exact matches. Without a well-constructed negative list, the budget is consumed by irrelevant searches that generate clicks without conversions.

❌ Not having conversion tracking configured before investing: Launching campaigns without well-defined and implemented conversions prevents the system from learning and the advertiser from evaluating real results. Automatic bidding doesn’t work without conversion data.

❌ Sending traffic to the homepage instead of specific landing pages: The ad message should continue on the destination page. An ad about a specific service that leads to the homepage creates friction and destroys the conversion rate.

❌ Activating PMax without historical conversion data: Performance Max needs previous conversion signals to optimize. Launching it from scratch without history gives total control to the algorithm without a foundation to learn from, resulting in generally poor outcomes in the first few weeks.

❌ Interpret the Google Ads ROAS without considering the gap with Analytics: Making decisions to scale or pause campaigns based only on the Google Ads ROAS, without crossing it with Analytics or CRM data, can lead to incorrect conclusions in both senses.

❌ Do not segment by device, time and geographic location: Conversion rates vary significantly between devices, time zones and geographies. Applying the same target CPC to all segments wastes budget in the worst performing contexts.

Conclusions about Google Ads

Google Ads is the platform with the greatest capacity to capture existing active demand, but also the one that most easily consumes budget without results when managed without technical rigor or analytical vision.

The difference between an account that generates consistent returns and one that drains investment without clarity is not in the available budget. It’s in the quality of conversion tracking, campaign structure, reading data correctly across platforms, and the ability to make decisions based on business metrics, not just activity metrics.

In Vision by Data we manage Google Ads campaigns with a data-driven approach, rigorous technical implementation and continuous performance analysis. If you want your advertising investment to work with precision, discover how we can help you here.