Placements & Automated Bidding

📚 Module 8: Keywords & Bidding⏱ 6 min read🎯 Advanced

What you’ll learn

How to use placement multipliers on real data
Why position 1 is worth an aggressive multiplier
When to hand bidding to Target ROAS automation
How to scale winners without wrecking efficiency

Two advanced levers separate good accounts from great ones: placement multipliers (bidding more for the spots that convert) and automated bidding (letting Walmart’s algorithm manage bids toward a goal). Here’s how to use both well.

Placement multipliers

You can bid differently by placement. On manual campaigns you bid on Search In-grid (required) and can add multipliers for Search Carousel, Item Page Carousel and Buy Box. Your placement reports show how each performs, so you tune multipliers on evidence:

A placement consistently above your ACoS target → reduce its multiplier.
A placement running efficiently below target → increase its multiplier to capture more.

Why position is worth paying for

Placement isn’t vanity. The first Search In-grid position sees roughly 6× the add-to-cart rate of positions 2–10, and the top four positions convert far better than lower ones. That data justifies aggressive multipliers for premium placements on your proven winners.

One tactic for new products: item-page placements are usually less competitive than in-grid, so they can be a cheaper way to build early data and visibility.

Automated bidding

Manual bidding gives control, but it doesn’t scale to hundreds of keywords. Walmart offers automation:

Dynamic bidding

Adjusts bids in real time by conversion likelihood — up when a sale looks likely, down when it doesn’t (never below the floor).

Target ROAS

You set a ROAS goal (say 5:1) and the algorithm manages bids to hit it — ideal for large catalogs where hand-tuning every bid isn’t realistic.

Give automation room to learn

Automated strategies need a learning period — commonly 2–3 weeks — before you judge them. Don’t yank targets around mid-learning. Set a realistic ROAS goal, let it stabilise, then refine.

Manual or automated?

Manual — best when you’re learning, on smaller catalogs, or on high-stakes keywords you want to control precisely.
Automated (Target ROAS) — best for scale, large catalogs, and once you know your reliable ROAS target.

Many advertisers run a mix: manual control on hero products and key terms, automation across the long tail.

Scaling winners

Once you have stable winners, scale without destroying efficiency: raise bids on proven keywords gradually, lean on placement multipliers for premium positions, and increase budgets on products with strong conversion and efficient ACoS. Scale the proven, never the unproven.

Module 8 complete

You can now build a tiered keyword strategy, deploy match types, calculate profitable bids, and use placements and automation to scale. Next, Module 9: Campaign Structure & Optimization — the account architecture and weekly routine that puts all of this on autopilot.

Quick recap

Tune placement multipliers on report data — raise on efficient placements, cut on costly ones.
Premium positions convert far better (position 1 ~6× add-to-cart) — worth aggressive multipliers.
Use dynamic bidding and Target ROAS to scale; give automation a 2–3 week learning period.
Scale only proven winners — raise bids gradually and lean on multipliers for position.