Bid strategies are the specific rules an advertiser selects to translate a business goal — more conversions, a target return on ad spend, more visibility for new products — into the actual bids submitted at auction. Rather than fixing a single number and leaving it in place, a bid strategy tells the platform's algorithm what outcome to optimize for and how aggressively to pursue it, then lets automated systems recalculate individual bids in the background as conditions shift. Choosing the right bid strategy for each part of a catalog is one of the more consequential decisions in running Google Shopping or Meta catalog campaigns, since the wrong strategy can either starve profitable products of budget or overspend on traffic that was never going to convert.

Why it matters for feed management and e-commerce

A single bid strategy rarely fits an entire catalog. A newly launched product with no conversion history needs a strategy built around getting clicks and building impression share so the algorithm has data to learn from, while an established bestseller with years of conversion data can run efficiently on a strict target-ROAS strategy. Getting this segmentation wrong is expensive in both directions: applying a conservative ROAS target to a new product often means it never gets enough auction exposure to prove itself, while applying an aggressive growth strategy to a mature, thin-margin product burns budget chasing volume the unit economics can't support. Because most of these strategies pull their signals directly from feed attributes — price, margin, product age, category — feed structure and bid strategy selection are really the same decision viewed from two sides.

How it works

Bid strategy selection typically happens at the campaign or product-group level, with the underlying bid management system enforcing the chosen goal on every individual auction. Target ROAS and target CPA strategies work by predicting the likelihood of conversion for each auction opportunity and bidding up or down accordingly, which only functions well once a product has enough conversion history to model against. For newer or lower-volume products, strategies focused on clicks or impression volume are more common, prioritizing visibility over immediate efficiency. All of these strategies execute through the same underlying mechanism: real-time bidding, where the actual bid submitted varies auction by auction based on user intent signals, even though the strategy governing it stays constant. Retailers running Performance Max campaigns lean especially hard on feed structure to make these strategies work, since Performance Max removes much of the manual bid-strategy control available in standard Shopping campaigns.

Example

<item>
  <g:id>SKU-51042</g:id>
  <title>Wireless Noise-Cancelling Headphones</title>
  <g:price>129.00 USD</g:price>
  <g:custom_label_0>established-bestseller</g:custom_label_0>
  <g:custom_label_2>target-roas-tier-1</g:custom_label_2>
</item>

The custom_label_2 value here doesn't change how the product displays to shoppers — it exists so campaign structure can route this item into an ad group running a strict target-ROAS bid strategy, distinct from the growth-focused strategy applied to newer arrivals in the same feed. Our guide on advanced feed tactics for dominating Performance Max walks through building these tiers at scale.

Related Concepts

Bid strategies are the policy layer that sits above day-to-day bid management, and both ultimately execute through real-time bidding at the auction level. Getting strategy selection right is also inseparable from tracking impression share, since a strategy that's too conservative shows up first as declining share of the available auctions rather than an obvious drop in conversions.