Overview
Google Ads is not neutral. That is the essential takeaway from Andrew Goodman’s recent analysis for Search Engine Land (Andrew Goodman, Search Engine Land). The platform does more than deliver ads – it steers choices. For businesses that depend on paid search to drive customers, those nudges can translate into wasted budget, distorted performance signals, and second-order auction effects that hurt even well-run accounts. Read Goodman’s full piece here (https://searchengineland.com/the-availability-heuristic-7-ways-google-ads-can-steer-your-decisions-487769).
Why this matters to Irish advertisers
Many businesses in Ireland and beyond assume that the platform’s defaults are best practice. They are not. When dozens or hundreds of advertisers in a vertical accept the same platform-friendly defaults, the aggregated result can be higher CPCs, worse audience targeting, and campaigns that look healthy on surface metrics but fail to move the revenue needle. The problem is systemic – it is not just the novices who suffer. Skilled advertisers can be whipsawed by auction anomalies caused by others’ sloppy settings.
How Google makes platform-friendly ideas more visible
Goodman frames the issue through the lens of the availability heuristic – the human tendency to overweight information that is readily visible. Google uses naming, in-product prompts, and dashboard placement to increase the availability of certain ideas. Campaign types with persuasive names like Performance Max, Demand Gen, and Smart Bidding are not just technical labels – they are marketing tools inside the product that encourage budget allocation in particular directions.
Seven specific ways the platform nudges you
1. Dashboard defaults
Google’s account and campaign dashboards often promote period-to-period comparisons and surface metrics such as impressions and clicks. For most businesses, year-on-year comparisons and revenue or return on ad spend (ROAS) are far more meaningful. Accepting the platform defaults can create false urgencies and distract from financial performance.
2. Columns that favour noise over signal
The visible columns in the UI include many metrics that look important but add little to optimisation. Advertisers should customise Columns > Modify and prioritise clicks, CTR, conversion value, conversion value divided by cost, and CPC. Anything that breeds anxiety rather than clear action should be hidden.
3. Pagination and the row count trap
Small friction adds up. When the default rows revert to 10 and you need to click through pages, optimisation effort shrinks. That is how neglected campaigns fester. Consolidation of campaigns and a ruthless clean-up of redundant line items usually improves financial performance.
4. Optimization Score and recommendations
Google’s in-product recommendations and the lightbulb icon push easy actions – remove keywords, enable display expansion, accept bid suggestions. Many such recommendations are platform-serving rather than advertiser-serving. Accepting them uncritically can increase spend or dilute quality. The optimization score is a persuasive number, not an accountability metric for your business.
5. Ad group-level targets that override campaign intent
Goodman highlights a common operational oversight – mismatched targets between campaign-level and ad group-level settings. If ad group targets are set lower than the campaign target, raising the campaign target accomplishes nothing. Drill down into ad group settings before changing headline campaign parameters.
6. Search query reporting misunderstandings
Novice advertisers conflate account keywords with the queries users actually enter. The Search Terms report contains the raw user queries you need to add as negatives or to map to the right ad groups. Common blind spots include navigational brand searches, single-word broad queries, competitor names, and irrelevant product terms.
7. Conversion counts that obscure quality
Too many conversion events, or poorly chosen primary conversions, create feedback loops that mislead automated bidding. Decide on a clear primary KPI – revenue or high-quality leads – and demote or remove noisy events such as store visits if they skew signal. Where necessary, import carefully chosen Analytics goals into Google Ads for precision.
Practical steps for advertisers
– Reclaim your dashboard. Set period comparisons to year-on-year and display revenue and ROAS prominently.
– Customise columns. Keep a short list of high-signal metrics and hide the rest.
– Audit account structure. Consolidate redundant campaigns, simplify duplicate KPIs, and ensure pagination does not impede oversight.
– Treat recommendations with scepticism. Use experiment campaigns to test platform suggestions rather than applying them account-wide. Google’s recommendations page is a prompt, not a prescription (see Google Ads help for recommendations).
– Verify ad group and campaign targets. Make sure there are no mismatched overrides.
– Run a search terms cleanse. Use negative keywords strategically and monitor queries weekly.
– Rationalise conversions. Pick one or two primary metrics that tie to revenue and keep secondary events for directional insight.
– Invest in first-party data and independent measurement. Attribution models inside the platform are useful but can be gamed by interface design. Use cross-channel analytics to validate performance.
What regulators and businesses should consider
There is a public interest angle to how platforms nudge commercial users. For now, the pragmatic response is better housekeeping and discipline at the advertiser level. Irish SMEs and in-house marketing teams should avoid outsourcing unquestioning trust to automated defaults. At the policy level, transparency obligations on how optimization scores and recommendation engines are calculated would help. In the absence of formal regulation, market incentives – clients demanding clearer reporting and separation of platform-provided guidance from independent audit – will push practice in a healthier direction.
A closing note for those who manage ad budgets
Automation has genuine value but it is not a substitute for commercial judgment. If you want your ads to serve your business rather than the platform’s attention economy, adopt a sceptical, banker-like approach: focus on margins, verify attribution, and make decisions that preserve long-term financial health. For a deeper dive into the availability heuristic and the seven tactics Goodman outlines, read the original piece on Search Engine Land (Andrew Goodman, Search Engine Land). For competitive intelligence and seeing how rivals behave in paid search, tools such as Semrush can be useful, but treat any third-party data as a complement to, not a replacement for, your own account hygiene. (https://www.semrush.com)
