Google Ads optimisation: the complete SME guide

Optimising a Google Ads account used to mean bidding, refining keywords and testing ad copy. In 2026 it mostly means: steering an AI system. According to Google, over 30% of customers’ search ad spend runs through AI campaign types such as Performance Max and AI Max, and since April 2026 the classic alternatives have been disappearing step by step. That does not make optimisation less important, just different: your levers shift from micromanagement to data, target values and creatives. In this guide you get the data-driven optimisation routine we use at ClickForest for the Google Ads accounts of SMEs in Flanders: what you do weekly and monthly, how to read Quality Score and optimisation score correctly (both different from what the myths claim), how to steer Performance Max and AI Max, and why profit is your compass instead of revenue.

How do you optimise a Google Ads campaign in 2026?

By working on the right layer: not the bids (the AI handles those), but the inputs that steer the AI. Concretely, those are your conversion measurement and target values, your search terms and exclusions, your ad copy and assets, your landing pages and your budget allocation. Get those five inputs right and adjust them in a fixed rhythm, and you beat virtually every daily knob-turner.

The fixed rhythm we use:

Rhythm	What you do
Weekly	Go through search term reports (exclude and promote), check budget allocation, explain outliers in costs or conversions
Monthly	Refresh ad copy and assets, review audience and location data, compare landing pages against your best performing search terms
Quarterly	Review bidding strategy, target values and account structure, plus evaluate one structural experiment

The reason for that rhythm is not laziness: AI bidding strategies have a learning period, and making big changes every day constantly resets that learning process. How this fits into your broader channel approach is covered in our pillar on what performance marketing is.

Where does every optimisation start? With your measurement

Every Google Ads optimisation stands or falls with conversion measurement: if the system counts the wrong actions as a “conversion”, the AI confidently optimises in the wrong direction. So first check what counts as a conversion, whether the values are correct, and whether your measurement holds up with Consent Mode for European traffic.

The biggest lever for e-commerce sits in the conversion value you send along: pass revenue and the AI steers on revenue; pass margin and it steers on profit. That difference is bigger than any other optimisation in this guide, and it is why we steer on POAS at ClickForest instead of bare ROAS; the worked example is in POAS versus ROAS. American benchmark data underlines why profit steering is becoming more urgent: WordStream/LocaliQ measured years of click price increases that only stabilise in the most recent report (2026), with a falling cost per lead for the first time in years. Senior director Pepe Hernandez on those figures:

“Seeing an overall drop in cost per lead for the first time since before 2020 is a big signal that advertisers who’ve adapted to search platform changes are getting more stable and predictable results.”

— Pepe Hernandez, Senior Director of Optimization Strategy at LocaliQ

American data in dollars, so directional rather than Belgian price levels; your own campaign data remains the yardstick. And one observation from the 2025 report of that same benchmark study deserves your attention when choosing a bidding strategy:

“The rate of CPC increases varies depending on optimization type, but we’ve seen sharper increases on campaigns with smart bidding, which is likely expected since Google has direct control over these CPCs.”

— Katia Hausman, Vice President of Product at LocaliQ

Smart bidding pays off, but it does not release you from vigilance over what a click costs you.

How do you read Quality Score correctly?

As a diagnostic tool, not as a grade to maximise. Google says it literally in its own documentation: the visible Quality Score from 1 to 10 is “not an input in the ad auction” and not a KPI. The score consists of three components, each rated below average, average or above average: expected clickthrough rate, ad relevance and landing page experience.

The right approach: use the three components as a map for improvement work. If expected clickthrough rate scores below average, your ads do not match the search intent; if landing page experience scores low, you lose visitors after the click (which also touches your conversion optimisation). The underlying quality signals do count in the auction, so this improvement work usually lowers your costs; only staring at the number itself is pointless. That instantly debunks the most persistent Google Ads myth (“Quality Score is the ranking factor”), in Google’s own words.

Should you follow the optimisation score and recommendations?

Critically, not blindly. The optimisation score (0 to 100%) is, according to Google’s own definition, an estimate of how well your account can perform, calculated partly on the open recommendations. In practice the score mainly moves with how you handle those recommendations. Ex-Googler and Google Ads coach Jyll Saskin Gales puts it sharply:

“The optimization score is not a measure of how well your account is performing; it is a measure of whether you are reviewing your recommendations.”

— Jyll Saskin Gales, Google Ads coach and ex-Googler

Practically: go through the recommendations weekly or monthly, apply what fits your strategy, and explicitly dismiss the rest (dismissing also counts towards your score). Turn off auto-apply for anything that touches budgets, bids or keywords; you do not want the system rewriting your strategy overnight. A score of 100% means you manage your recommendations, not that your account is perfect.

Rather have a specialist take over this rhythm? ClickForest carries out Google Ads optimisation for SMEs in Flanders, with profit steering and full transparency. See our performance approach or book a no-obligation video call.

How do you optimise Performance Max in 2026?

You steer Performance Max with four levers that really matter: your conversion values (the most important), your asset groups with strong copy and images per theme, your search themes as signposts, and your exclusions. Since early 2025 that last one is finally properly possible: campaign-level negative keywords, brand exclusions and URL rules are officially available.

The old “black box” reproach is also partly outdated: in 2025 Google rolled out channel reporting (you now see per channel, from Search to YouTube and Maps, what PMax spends and returns) plus full search term reports at the same level of detail as regular campaigns. PMax specialist Mike Ryan already said something about it in 2022, well before those transparency updates, that still holds:

“I think Performance Max is a new advertising platform incubating within the old one.”

— Mike Ryan, then Head of Marketing at Smarter Ecommerce, in 2022

So treat PMax as a platform of its own with its own rules: feed it correct values and strong creatives, check the channel distribution and search terms monthly, exclude what does not fit, and compare profitability with your regular Search campaigns instead of blindly trusting the total figure. For webshops there is an extra rule: the product feed is an asset; we made the comparison with Meta campaigns in Google Ads versus Meta Ads for Shopify.

What is AI Max and what does it change in your Search campaigns?

AI Max is the AI feature set inside your existing Search campaigns, generally available since April 2026, with three parts: broader search term matching beyond your keywords, automatically adapted ad copy based on your site and ads, and automatic landing page selection. Google reports an average 7% more conversions with the full feature set (its own measurement); at the 2025 launch it cited higher percentages for exact- and phrase-heavy campaigns.

More important than the percentages is the direction: Google is discontinuing the legacy alternatives, in two waves. Automatically created assets and the campaign-level broad match setting will be automatically converted to AI Max from September 2026; for Dynamic Search Ads, Google pushed that automatic migration back to February 2027 in June 2026, following advertiser feedback. So you are not choosing whether to work with this, only when and how controlled. Our approach: activate AI Max on one campaign first, watch the search term reports extra strictly in the first weeks (the matching broadens noticeably), and update your exclusion lists before rolling out further. How AI is redrawing the whole advertising trade is covered in performance marketing in the AI era.

Which bidding strategy do you choose?

Choose based on your goal and data volume: Maximize Conversions (optionally with a target CPA) for lead generation, Maximize Conversion Value (optionally with a target ROAS) for e-commerce. Those are the four Smart Bidding strategies Google offers, and they bid per auction on signals such as device, location, time and query that you could never process manually.

Two practical rules make the difference. First: give the strategy realistic target values; an overly aggressive target CPA or target ROAS smothers your volume, an overly loose one wastes budget. Start from your actual average and move in small steps. Second: respect the learning period after every big change and judge on weekly averages instead of daily figures. And tie the target values to your margins: a target ROAS without margin knowledge is steering on a phantom number, exactly why the profit discussion from POAS versus ROAS hits the core here.

Why are your Google Ads not delivering enough profit?

Usually not because the campaign runs poorly, but because you are steering on the wrong number. Optimising for revenue or ROAS lets the algorithm chase low-margin orders. The campaign then does exactly what you asked while your profit falls. Steering on gross profit reverses that.

Four causes explain most cases, and they rarely sit in the settings:

• You measure revenue, not margin. A ROAS of 4 on a product with a 20% margin loses money, while a ROAS of 2 on a 60% margin makes a profit. How to flip that is covered in POAS versus ROAS.
• Your conversion tracking double-counts or counts noise. The AI then optimises on signals that are not revenue, and scales exactly the wrong thing.
• Your budget leaks to search terms that never buy. Without search term hygiene you pay for visitors who have nothing to do with your offering.
• You compare the wrong periods. A campaign that is two weeks old is still learning; drawing conclusions on noise costs more than patience.

Which mistakes do you see most often in SME accounts?

Five classics, in order of damage: wrong or duplicate conversion measurement (the AI optimises on noise), no search term hygiene (budget leaks to irrelevant queries), everything in one campaign (no steering by margin or goal), neglected ad copy (the same assets for a year) and steering on revenue without margins. None of the five requires advanced knowledge; they require rhythm.

The common thread is always the same: the problem rarely sits in the clever settings and almost always in the boring basics. Get your measurement, structure and search terms in order and you will get more out of an AI campaign than someone stacking advanced scripts on a messy foundation. If you combine channels, also guard the division of roles: how search ads and SEO reinforce each other is covered in integrating SEA and SEO, and the full funnel build-up is in our guide on advertising strategy across the funnel.

How do you know whether your optimisation works?

Measure on three levels, each with its own rhythm: campaign level (costs, conversions, cost per conversion, week on week), account level (total profitability: returns minus ad costs minus product costs, month on month) and business level (what you notice in quotes, orders and revenue, quarter on quarter). A campaign that “performs better” while profit drops is not an improvement.

A practical pitfall when judging: never compare a learning period with a stable period, and factor in seasonal effects before drawing conclusions. Also keep one line of experimentation open: test one structural change per quarter (a new campaign structure, AI Max on an extra campaign, a different target value) instead of five at once, so you know what made the difference. That is how you build an account that demonstrably improves every quarter, and figures you dare to steer on; what such a trajectory looks like in practice is shown in the Bastiano advertising story.

What should you remember about Google Ads optimisation?

Optimising Google Ads in 2026 means steering AI with clean inputs: correct profit-value measurement, tight search term hygiene, strong creatives and realistic target values, in a fixed week-month-quarter rhythm. Read Quality Score and optimisation score as diagnosis, not goal, steer Performance Max through values and exclusions, and roll out AI Max in controlled steps before the legacy tools disappear (assets and broad match in September 2026, Dynamic Search Ads in February 2027). Profit is your compass; the rest is means.

ClickForest runs this Google Ads optimisation routine daily for SMEs in Flanders, as part of performance marketing management with profit steering and full transparency. Wondering whether your account gets the maximum out of it, or considering outsourcing? Book a no-obligation video call and we will look at your account together.