Core mechanics · module 7 of 13 · 9 min read
Smart Bidding: what the machine optimises
What is the algorithm actually trying to do, and what did you tell it?
- Target CPA
- Target ROAS
- Maximize conversions
- Maximize conversion value
- budget-limited
- target overperformance
- auction-time bidding
Read first: Conversion tracking is the spine, Account structure
Smart Bidding sets a bid for every individual auction using signals you cannot see, aiming at a goal you set. Understanding what it is optimising — and what it does when it cannot — is the difference between steering it and being surprised by it.
The strategies
- Maximize conversions — as many as possible for the budget. No efficiency constraint.
- Maximize conversion value — as much value as possible for the budget.
- Target CPA (tCPA) — as many conversions as possible at a cost per acquisition.
- Target ROAS (tROAS) — as much value as possible at a return on ad spend.
The targeted strategies add a constraint. Without a target, the system spends the budget and takes whatever efficiency results.
The target is a target, not a floor
This is the part that changed, and it is the most consequential PPC story of 2026.
Historically, budget-limited campaigns often overperformed their targets — a 400% tROAS routinely delivering far more, because a constrained budget meant only the very best auctions were bought. Many accounts exploited this deliberately: set a low target, let Google overshoot.
Google announced on 15 June 2026 that this was ending, and from 17 August 2026 bids on budget-limited campaigns optimise more consistently toward the stated target. Google's own example: a campaign with a $10 target CPA delivering an actual $5 CPA will now deliver closer to $10.
Campaigns that are not budget-constrained are unaffected — they already scaled in line with their target.
The practical fallout was immediate and is visible in the daily feed: practitioners reporting sharply higher CPCs, ROAS collapsing toward target, and a threshold effect where raising a target slightly above recent actuals throttles delivery. Every target set under the old overshoot behaviour is now mis-set, in the unprofitable direction.
The response is not a trick. Re-derive targets from the margin you actually need rather than from a historical number that used to be beaten.
Learning periods and data
Bid strategies need conversion volume. Changing strategy, target or structure triggers a learning period during which performance is unstable. Change one thing, then wait — the common failure is stacking three changes in a week and being unable to attribute anything.
What trips people up
- Setting a target from last month's actual rather than from required margin.
- Adjusting targets weekly. You are permanently in learning.
- Assuming automation removes the need for negatives and structure. It increases it — the machine spends faster in whatever direction you pointed it.
You have got this when
You can explain why a campaign that used to beat its target now merely meets it, and what you would change in response.
Go to the source
What has changed since
Stories from the briefs that touch this module.