Google is rolling out new artificial intelligence tools to automate bidding and budgeting in Search and Shopping campaigns, helping advertisers capture more conversions with less manual work. The updates, announced ahead of Google Marketing Live 2026, focus on smarter journey tracking, wider query reach and budgets that follow real-time demand.
Journey-aware bidding, now in beta, allows Search Ads optimising for Target CPA to learn from both biddable and non-biddable conversion goals. This means Google AI can use the full lead-to-sale journey, not just form fills, to bid more accurately on high-quality leads.
Smart Bidding Exploration, which has already shown an average 18–27% increase in unique converting users, is expanding from Search to Performance Max and Shopping campaigns. Advertisers can adjust their Target ROAS tolerance to explore new, conversion-friendly traffic and capture additional queries they might otherwise miss.
On the budgeting side, demand-led pacing will automatically shift spend to match consumer behaviour in the coming months. Google AI will increase bids and spend on peak demand days and reduce them on slower days, while staying within monthly and daily budget limits.
These tools build on campaign total budgets, which let advertisers set a single budget for a defined period of days or weeks across Search, Shopping and Performance Max. Together, they aim to reduce manual optimisation and help campaigns scale more predictably.
FAQs [Frequently Asked Questions]
Q1: What is journey-aware bidding in Google Ads?
A: Journey-aware bidding is a beta feature that lets Search campaigns optimise using both biddable and non-biddable conversion signals from the full customer journey.
Q2: How does Smart Bidding Exploration help Shopping campaigns?
A: It expands Smart Bidding to new query categories in Shopping and Performance Max, helping capture more unique users and incremental conversions.
Q3: What is demand-led pacing for ad budgets?
A: Demand-led pacing uses AI to adjust daily spend based on real-time consumer demand, increasing budget on high-opportunity days without exceeding overall limits.