Uncap growth for 2027: The new rules of AI Search and target ROI
Consumer search behaviour is evolving rapidly. Today, we see over 5 trillion searches on Google annually.1 AI Overviews now has 2.5 billion monthly users,2 and AI Mode has been a revelation, one of our most popular updates in Search… ever.3 As we drive towards a strong peak season finish — and look ahead to 2027 — this surge in conversational, dynamic search means the old rules of manual campaign constraints are obsolete.
In the old world of digital advertising, capping daily budgets felt like a necessary safety net against diminishing returns. In today’s AI Search era, it is the digital equivalent of locking the doors of your flagship store mid-afternoon on a Saturday while profitable customers are still queuing outside.
Updates to target-based bid strategies — specifically Target ROAS and Target CPA — have changed how campaigns scale, rendering artificial budget caps unnecessary. To win in this new landscape, marketers need a unified strategic playbook based on three pillars: setting the right target, adopting demand-led budgeting, and embracing AI Max.
To unpack these changes and help leadership teams capture unconstrained demand, we sat down with Scott Sinclair. As Google’s Head of Search+ for Europe, the Middle East, and Africa, he advises top CMOs and CFOs across the region on turning technological shifts into predictable, bottom-line growth.
In this Q&A he explains what these bidding updates mean for your strategy, and how to future-proof your campaigns during this year’s peak season rush — and into 2027:
Q1: What exactly changed with Target ROAS and Target CPA bidding, and how does this shift the conversation with the CFO?
Scott Sinclair: The core of this year’s update rests on a simple premise: your campaign now consistently optimises toward your stated target, regardless of the daily budget you enter, across Search, Shopping, Performance Max, Demand Gen, and Travel.
Previously, when your campaign had a “Limited by budget” status and you used a Target-based bid strategy (for example, Target CPA or Target ROAS), some campaigns may have overperformed on bidding targets and found performance fluctuations when budgets were adjusted. For example, a 5X Target ROAS on a tight budget might deliver 10X. When the advertiser raised their budget to capture more demand, actual ROAS dropped back toward the 5X they originally requested, creating the illusion of diminishing returns. We removed that artificial distortion. Today, if you set a 10X Target ROAS, Google AI optimises directly toward that target, giving you a predictable return as you scale.
When you speak with a CFO, predictability is paramount. Advertisers no longer experience a cliff edge in efficiency when they raise budgets to capture demand. Because constrained campaigns no longer artificially overachieve, forecasting tools now model incremental revenue at your target, empowering marketing teams to take clear, transparent business cases straight to the boardroom.
Your target controls your efficiency, while your budget simply dictates the total revenue you capture at that ROI.
Q2: With this new predictability, how should teams validate and calibrate their targets to ensure they drive true business value?
Scott Sinclair: You can no longer set a “placeholder” target and rely on a tight daily budget to artificially inflate your ROAS. Setting the right target is now the single most critical strategic decision for every advertiser.
Work directly with your finance team to ground your Target ROAS or Target CPA in true unit economics, such as gross margin, net profit contribution, or customer lifetime value. Because internal finance systems and platform tracking rarely match perfectly, establish a clear multiplier so everyone agrees on what a profitable target looks like.
You must also beware of over-tightening. When you set an artificially high target, you walk away from profitable auctions. Your ROAS percentage might look high on paper, but your net profit and category impression share will shrink.
For those looking to safely push the boundaries, Smart Bidding Exploration lets Google AI explore new converting query categories within a flexible ROAS tolerance if your budgets are already unconstrained.
Q3. Once an advertiser sets the right target, what does operating with a ‘demand-led budget’ look like day-to-day?
Scott Sinclair: Customer demand does not arrive in flat, identical daily slices. It spikes unpredictably — whether on paydays, during late peak sales rushes, or when a product suddenly goes viral. If your daily budget is kept too close to average daily spend, your campaigns will run out of budget on precisely the days consumer intent is highest.
When marketing and finance align on a target, that metric becomes your true <a href="https://bitcomme.com/southwire-data-breach-exposes-employee-health-and-financial-data/” title=”Southwire Data Breach Exposes Employee Health and Financial Data”>financial guardrail. To prevent static caps from cutting off-peak momentum without raising a flag with finance:
- Configure your daily budget at roughly 4X your projected average daily spend. With the updates to bid strategies, this will not cause overspending; it simply gives Google AI the headroom for flexibility during sudden demand spikes.
- When spend touches 25% of your daily cap, increase the ceiling by 25% to protect demand headroom.
- If your finance leadership requires validation before increasing, use Google Ads bidding and budget experiments to run a clean 50/50 split test, proving incremental revenue at your target ROI in a controlled environment.
Forcing a profitable campaign to miss high intent searches is like turning off the tills and pulling down the shutters right in the middle of a weekend rush. A demand-led budget allows you to capture those highly profitable spikes without constraint.
Q4. How does this bidding and budgeting foundation connect to AI Max and expanding search behaviours?
Scott Sinclair: Setting the right target and unlocking a demand-led budget is only half of the equation. The other critical step is ensuring your AI-powered campaign can actually see and match the way consumers are searching today.
In AI Mode, we see queries that are, on average, three times longer than traditional Search queries,4 and 1 in 5 AI Mode searches globally use voice, images, or documents.5 Now, instead of searching for something like “kids trainers”, a parent might ask for “a durable waterproof shoe for an 8-year-old who plays on astro-turf in the rain, available for next-day delivery”.
You simply cannot capture millions of unique, conversational queries with a manually curated list of exact-match keywords and static ad copy. Advertisers that adopt AI Max for Search campaigns are seeing 27% more conversions at a similar CPA or ROAS compared with campaigns that mostly use exact and phrase-match keywords.6
To unlock this uplift, enable all three settings in AI Max together: Search term matching, text customisation, and final URL expansion. Paired with the updated target bidding model and an unconstrained, demand-led budget, every net-new conversational query is captured at your exact target ROI.
Q5. What are the core takeaways for marketers to ensure they are 2027-ready?
Scott Sinclair: As AI Search continues to reshape the customer journey, clarity of execution will win. Focus your teams on these three steps:
- Validate your target. Ensure your Target ROAS or Target CPA is grounded in your finance team’s true unit economics, rather than an inflated buffer that throttles your volume.
- Move to a demand-led budget.Uncap constrained budgets at your target ROI. If your campaigns are hitting their stated targets but are flagged as limited by budget, you are leaving revenue on the table.
- Enable AI Max completely. Audit your campaigns to ensure all three AI Max settings are enabled. Turning them on, and fuelling them with a demand-led budget, is how you turn expanding search behaviours into predictable growth.
