Optimising advertising campaigns on Google means improving the ratio between every euro invested and the result generated (conversion, lead, sale, call) through a systematic process that acts on campaign structure, targeting quality, bidding strategy, ad creative, landing page experience and the quality of measurement data. In 2026 this process has undergone a radical transformation: Google has integrated artificial intelligence almost entirely into the core of the platform (Marketrock, 2026), shifting the professional’s role from manual micro-management of keywords and bids to the strategic definition of the objectives, signals and quality data the AI uses to optimise autonomously. Adoption of creative automation solutions has grown by 200% in the last year (Google Ads Blog, cited by Talent Garden, 2025). Anyone still optimising Google Ads campaigns as they did in 2020, with manual bids, exact match and rigid targeting, is competing with algorithms that analyse millions of signals in a few milliseconds for every single auction.
The prerequisite no one mentions: tracking quality
Before discussing any optimisation tactic, there is a prerequisite that most guides leave out and that in 2026 is more critical than ever: the quality of conversion tracking. Google’s AI, which drives Smart Bidding, Performance Max and every automated strategy, optimises on the conversion data it receives. If that data is wrong, partial or poorly configured, the AI optimises in the wrong direction with maximum efficiency. This is the garbage in, garbage out problem applied to Google Ads campaigns: poor input data produces poor optimisation, however sophisticated the strategy.
Conversion tracking in 2026 requires a precise set-up that includes (Marketrock, 2026): integrating Google Ads with Google Analytics 4 (GA4) as the primary data source; implementing the correct conversion tag for every relevant action (purchase, lead, call, download); configuring conversion values so that optimisation can target ROAS and not just volume; integrating with the CRM for B2B campaigns with a long buying cycle; and, in some cases, using enhanced conversions, which send first-party data to offset the signal loss caused by cookie blocking and privacy restrictions.
Before touching any campaign setting, check that tracking is working correctly. It is the step most often skipped, and the one that causes the greatest damage.
The 6 Google Ads campaign optimisation levers in 2026
1. Campaign structure: the foundation that nothing else can fix
A poorly structured campaign is not optimised: it is rebuilt. The structure of a Google Ads campaign determines how budget is allocated, how ads are served, how results are measured and, crucially in 2026, how the AI learns from the data. An overly fragmented structure (many ad groups with little data each) deprives the AI of the signal volume it needs to optimise. An overly aggregated structure loses the granularity that allows strategic choices for different segments.
The 2026 best practice for Search campaigns is to build themed ad groups rather than single-keyword ones, with enough monthly conversions for the AI to learn. For Performance Max campaigns, the structure shifts from ad groups to asset groups: sets of creatives, headlines and images organised by product or service theme, with audience signals attached to steer the AI towards the most valuable segments.
2. Targeting quality: keywords, audiences and negatives
In 2026, targeting on Google Ads is no longer just a matter of keywords. It is a combination of intent signals (keywords and search themes), audience signals (who the user is, remarketing, Customer Match, interest segments) and negative signals (what to exclude to avoid wasting budget). Exact match keywords have lost some of their weight; phrase match and AI-driven broad match have become the dominant types, but they require a robust list of negative keywords to stop the campaign serving on irrelevant searches.
Search Themes in Performance Max campaigns are the new strategic lever of 2026: they are not keywords in the traditional sense, but intent signals that tell the AI in which directions to expand targeting. “They let you guide the AI without constraining it, improving traffic quality and accelerating learning” (Ilaria Buselli, 2026). Best practice is to add 3–7 per asset group, focused on users’ needs, problems and solutions, not on the company’s product.
3. Bidding strategy: choosing the right Smart Bidding
Choosing the bidding strategy is the decision with the greatest direct impact on Google Ads campaign performance in 2026. Smart Bidding is not a single strategy but a set of different approaches with different objectives. The wrong choice produces campaigns that optimise in the wrong direction, maximising volume when the objective is profitability, or vice versa.
| Strategy | Objective | When to use it | Prerequisite |
|---|---|---|---|
| Maximise conversions | Maximum conversion volume on a fixed budget | Those who need to generate as many leads as possible | Defined budget; precise conversion tracking |
| Target CPA | Maximise conversions at a target cost per acquisition | Advertisers with a clear target CPA and sufficient historical data | At least 30 conversions/month to learn |
| Maximise conversion value | Maximise the total economic value generated | E-commerce businesses looking to optimise total revenue | Conversion values correctly configured |
| Target ROAS | Optimise for a target return on ad spend | Those with strict margin targets who want to scale profitably | Sufficient volume of conversions with value; clear margins |
| Maximise clicks | Maximum traffic to the site | Only at launch, for campaigns with no historical data | None, but to be abandoned as soon as conversion data is collected |
The fundamental principle: Smart Bidding needs data to learn. The system requires a minimum volume of conversions, generally at least 15–30 within a 30-day period, to build reliable predictive models (Eduu, 2026). A Smart Bidding campaign with too few conversions does not produce optimisation: it produces instability. And one critical rule is often broken: do not change the budget more than once every two weeks, to avoid sending the campaign back into the learning phase (Marketrock, 2026) and risking wiping out the work the AI has already done.
4. Quality of creative assets: the only area where humans still outperform the algorithm
“Creative is the last great battleground where humans can still outperform the algorithm” (Marketrock, 2026). Responsive Search Ads (RSA) and Performance Max allow Google to combine headlines and descriptions into thousands of variants, but the quality of those combinations depends on the quality of the assets the professional provides. An RSA with generic headlines produces generic ads, however sophisticated the bidding strategy.
Best practice for creative assets in 2026: include the main keyword in the first headline (for Search campaigns); use at least 5 genuinely different headlines, not variants of the same sentence, to give the algorithm truly different options; include at least one headline with the USP (unique selling proposition) and one with a clear CTA; for Performance Max, supply high-quality visual assets in all the required sizes. Ad strength, the indicator Google provides within the platform, is not a performance metric but a proxy for asset variety: “Excellent” does not guarantee better performance, but it reduces the risk of the algorithm running out of possible combinations.
5. Landing page optimisation: the most neglected lever
Google Ads optimises traffic to the landing page, but it cannot fix a landing page that does not convert. Quality Score, the quality rating Google assigns to every keyword, includes landing page experience as a component and directly affects cost per click (CPC) and ad position. A landing page that is relevant, fast (Core Web Vitals) and optimised for conversion lowers CPCs and raises the conversion rate, improving ROI twice over. A practitioner who optimises only the campaign and ignores the landing page is optimising half the system.
6. Brand protection: the campaigns nobody remembers but everyone should have
Brand protection campaigns, Search campaigns that target the company’s own brand keywords, are among the most profitable and least discussed in Google Ads guides. Without a branded campaign, competitors can easily bid on the company’s brand name, capturing traffic from users who were searching specifically for that brand. Branded campaigns almost always deliver very high CTRs (the 13.36% in the Doreca case is a documented example), very low CPCs and high conversion rates, because a user searching for the brand name already has a strong propensity to buy.
Performance Max in 2026: work with the AI, not against it
By 2026, Performance Max campaigns have become the dominant format for advertisers with conversion goals across multiple Google channels (Search, Display, YouTube, Shopping, Gmail, Maps). They bring all traffic sources together in a unified strategy and use AI to optimise budget allocation, targeting and creative across all channels simultaneously.
The change of mindset required is precise: “instead of managing placements and match types, your job is to provide the system with high-quality creative, structured data and clear objectives” (Webpd, 2025). Success with Performance Max is not automatic; it requires a well-structured strategy, high-quality creative assets and a data-driven approach. The three inputs that determine the quality of AI optimisation in Performance Max:
- High-quality conversion data: without accurate conversions, the AI does not know what to optimise for. Tracking configuration is the absolute prerequisite.
- Audience signals: remarketing lists, Customer Match segments (existing customers uploaded into the system), relevant interest segments. The AI uses these signals as a starting point for finding similar users.
- Diversified creative assets: headlines, descriptions, images and videos in the required sizes. More variety of quality assets = more options for the AI = better optimisation. The learning phase lasts 1–6 weeks (Google Ads Support, 2025): during this period it is critical not to change budget or targeting significantly.
Case studies: Google Ads performance documented by Bliss Agency
Profumum Roma: ROAS 17.1 on luxury e-commerce Google Ads
The Profumum Roma case, a luxury heritage perfume house with international distribution, is the most significant benchmark for Google Ads optimisation in a high-end e-commerce context. Bliss Agency has carried out ongoing brand governance and performance work for Profumum Roma: on the Google Ads channel, campaigns reached a ROAS of 17.1, meaning 17.1 euros generated for every euro invested in advertising. In the luxury heritage segment, where the purchase cycle is long and average order value is high, a ROAS of this magnitude results from three integrated elements: a campaign structure aligned with product segments and target markets, a bidding strategy calibrated on conversion value (Target ROAS) with accurate conversion data, and consistency between brand positioning and ad messaging that delivers above-average CTR and Quality Score. The Profumum Roma case demonstrates the core principle of this article: the quality of input data (precise tracking, correct conversion values) and consistency with the brand determine campaign performance, regardless of budget.
Doreca: 13.36% CTR on 51,599 Google Ads clicks
The Doreca case, an HO.RE.CA. beverage distributor, documents the impact of a Google Ads strategy integrated with brand and content. 51,599 clicks with a CTR of 13.36% are the result of a set-up in which campaign structure, ad quality and consistency with the brand’s positioning produced a perceived relevance among users significantly above the sector average. The 13.36% CTR signals ads that are highly relevant to the target audience, with messages aligned to search intent and a consistent brand identity that strengthens ad recognition. For operational details: Bliss Agency case studies.
The 5Ws of Google Ads campaign optimisation
- Who: Any company that invests in Google Ads and wants to improve the return on its advertising spend. It is not only for large budgets: Italian SMEs with limited budgets often benefit more from optimisation, because every wasted euro weighs proportionally more.
- What: A systematic process covering structure, targeting, bidding, creative, landing pages and tracking, with the aim of increasing the value generated for every euro invested. It is not a one-off exercise: it is a continuous cycle of analysis, hypothesis, testing and implementation.
- When: Continuously, not only when campaigns underperform. Campaigns that perform well are optimised to scale; those that perform poorly are optimised to stabilise. The right review cadence is weekly for operational metrics and monthly for strategic decisions.
- Where: In the Google Ads platform, but with inputs from outside it: CRM data for offline conversions, GA4 analysis for on-site behaviour, brand data for message consistency. Google Ads optimisation is an integrated activity, not one isolated from the wider digital strategy.
- Why: Because the cost of failing to optimise is concrete and measurable: budget spent on irrelevant keywords, low-CTR ads that push up CPC, landing pages that fail to convert the traffic generated. In 2026, with competition on Google Ads at an all-time high, the gap between optimised and non-optimised campaigns is measured in points of ROI, not marginal percentages.
2026 trends: where Google campaign optimisation is heading
AI Max and the new generation of Search campaigns
AI Max for Search campaigns is the most significant new development in the Google Ads landscape in 2026. It automatically expands the search queries matched to your ads using natural language understanding, dynamically adapts ad headlines to the context of the user’s search, and optimises the landing page for each query (Talent Garden, 2025). It adds a further layer of automation compared with traditional RSAs, and demands a further layer of oversight from the practitioner to ensure that generated messages are consistent with the brand’s positioning.
First-party data as a competitive asset
With the steady erosion of third-party cookies and tightening privacy restrictions, first-party data, the data a company collects directly from its own customers — has become the main competitive asset in Google Ads campaigns in 2026. Companies with up-to-date Customer Match lists (existing customers uploaded to Google Ads), CRM data integrated with offline conversions and first-party data for enhanced conversions achieve structurally better performance than those still relying on third-party signals. Building a first-party database is not an advertising task: it is a strategic marketing priority.
Marketing Mix Modelling to measure the real contribution of Google Ads
In 2026, the most advanced companies do not measure their Google Ads campaigns solely through Google’s native attribution (which tends to overstate Google’s own contribution). Marketing Mix Modeling (MMM), which uses statistical modelling to attribute each channel’s real contribution to conversions, has become accessible to SMEs too, thanks to open-source tools and AI. MMM answers the question no native attribution model can: “how many of my conversions would have happened even without my Google Ads campaigns?”
New Connections (FAQ)
How can I improve the performance of my Google Ads campaigns?
The first step is to check that conversion tracking is configured correctly: without accurate conversion data, every optimisation points in the wrong direction. Then: review the campaign structure (thematic groups with sufficient volume for the AI), update the negative keyword list to exclude irrelevant traffic, improve the variety and quality of creative assets, and check that the bidding strategy is aligned with the real objective (volume, ROAS, CPA). Do not change several levers at once: doing so makes it impossible to attribute results to individual optimisations.
What is Google Ads Quality Score and why does it matter?
Quality Score is the indicator (from 1 to 10) Google uses to assess the relevance of a keyword, the corresponding ad and the destination landing page. A high Quality Score lowers CPC (you pay less for the same position) and improves ad rank. It is made up of three factors: expected clickthrough rate (expected CTR), ad relevance (how well the ad responds to the keyword’s intent) and landing page experience (relevance and speed of the landing page). The most effective way to improve it is to increase consistency between keyword, ad copy and landing page content.
How much does advertising on Google cost in 2026?
The cost of advertising on Google Ads varies enormously by sector, keyword competitiveness and campaign quality. The average CPC in Italy in 2026 ranges from a few cents for niche keywords to 5–15 euros for highly competitive keywords in sectors such as legal, insurance and finance. There is no mandatory minimum budget, but a campaign spending less than 300–500 euros a month in competitive sectors is unlikely to gather enough data for the AI to optimise properly. The right metric is not absolute cost but CPA (cost per acquisition) or ROAS measured against your business objectives.
What are Performance Max campaigns and when should you use them?
Performance Max campaigns are the Google Ads format that automatically brings every channel in the Google network (Search, Display, YouTube, Shopping, Gmail, Maps) into a single AI-managed campaign. They suit advertisers with conversion goals across multiple channels who can provide high-quality creative assets in every format, accurate and sufficient conversion data (at least 30–50 conversions/month) and audience signals (remarketing, Customer Match). They do not suit advertisers with very limited budgets or those who need granular control over where their ads appear. They require a learning phase of 1–6 weeks, during which performance can be unstable.
Should I manage Google Ads in-house or rely on an agency?
It depends on the complexity and budget of the campaign. Simple campaigns with a limited budget can be managed in-house with adequate training. Campaigns with a significant budget, multiple products/services or complex objectives (ROAS, CPA optimised across several channels) structurally benefit from professional management, both for the technical expertise and for the time devoted to continuous optimisation. The signs that external support is needed: campaigns that consume budget without conversions, ROAS below break-even, an inability to exit the learning phase. Bliss Agency manages Google Ads campaigns as part of integrated marketing strategies: request an audit of your current campaign.
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