Walmart Negative Keywords: How to Cut Wasted Walmart Connect Spend

If you run Sponsored Products on Walmart Connect, you have spent years watching budget go to searches you would never have chosen to bid on, with no way to exclude them. You could lower a bid, pause an item, or switch the campaign off. You could not hand Walmart a list of queries to skip.

On July 29, 2026, Walmart Connect launched negative keywords for Sponsored Products. A negative keyword tells the platform not to enter the auction when a shopper types a particular search, so you stop paying for clicks you already know will not convert.

The lever is narrower than the Amazon equivalent in four ways that matter to your weekly routine. On automatic campaigns, negatives require fixed bidding. They live at the ad group rather than the campaign. They never appear in your performance reports, so you cannot measure what they blocked. And they only govern keyword-triggered search placements, which on Walmart can be a minority of your spend.

What follows is how the two match types behave, how to measure how much of your budget a negative keyword can actually reach, and a weekly routine that accounts for the auto-campaign condition.

Quick answer

• What you get. Two match types on Sponsored Products: negative exact, which blocks the search word for word, and negative phrase, which blocks any search containing the phrase in the same order. There is no negative broad, and no negative product or negative brand exclusion.
• Where they live. At the ad group, set when you build the campaign or added later. Walmart's keyword API puts the character limit at 80 and caps a batch request at 50 keywords.
• The condition that catches people out. Manual campaigns can use negatives on any bidding strategy. Automatic campaigns have to be on fixed bidding, and lose eligibility if someone switches them to dynamic bidding or Target ROAS.
• What it actually saves you. Only the spend a keyword triggered. Buy Box, carousel, browse, stock-up and homepage placements are untouched, so measure your keyword-triggered share before you commit an hour a week to this.
• What you cannot prove. Negative keywords are absent from Snapshot V2 reports, so the saving is inferred from your spend curve rather than reported to you.
• Where to start. Negative exact on wrong-intent one-offs. Move to negative phrase only once a modifier has proved itself across several queries, because a phrase negative on a category term can remove a large slice of volume in an afternoon.

Walmart's negative keywords come with two match types and one bidding condition

There are three mechanics to get right: what negative exact blocks, what negative phrase blocks, and the bidding condition that governs half the account.

Negative exact blocks the query and nothing else

A negative exact keyword blocks your ad only when the customer's search term matches the negated term word for word. Walmart's own example: "dog food" negates "dog food." It does not negate "grain free dog food" or "dog food 30 lb." This is the precise instrument. Use it when a single query converts badly but the terms around it are the ones paying for the account.

Negative phrase blocks the phrase in order, with words wrapped around it

A negative phrase keyword blocks any search term that contains the full negated phrase in the same order, with additional words allowed before or after. Walmart's example: "running shoes" negates "white running shoes" and "running shoes for kids." Word order matters, so "shoes running" is a different phrase. This is the one that does damage if you reach for it early. A phrase negative on a two-word category term can remove a meaningful slice of a mature ad group's volume in a single afternoon.

Those two are the whole set. There is no negative broad on Walmart, and there is no negative product or negative brand exclusion for Sponsored Products, which is the closest thing to a real capability gap against Amazon.

Fixed bidding is a precondition on automatic campaigns

This is the line most people misread. Walmart Connect's announcement states that negative keywords are available for Sponsored Products manual campaigns and for automatic campaigns using fixed bidding. The fixed-bidding condition attaches to the automatic campaigns: a manual campaign can use negatives whatever its bidding strategy, and an automatic campaign has to be on fixed bidding to use them at all.

That split matters because auto campaigns are where negatives earn the most. They carry no bidded keywords, so before July there was no way to exclude a query from them, and the portfolio-hygiene case Walmart itself highlights, keeping your own brand name out of an auto campaign built for non-branded demand, only exists on that side of the account.

So the operating risk is specific rather than account-wide. An auto campaign that somebody moves onto dynamic bidding or Target ROAS while chasing a target stops being eligible for the negatives you set on it. What Walmart does with the existing list at that moment is not something it has published, so treat it as a state to verify rather than a mechanic to rely on. Nothing will flag it either way, because negative keywords are not included in Snapshot V2 reports: there is no report of what your negatives blocked, or of when they stopped.

How much of your Walmart spend can a negative keyword actually reach?

A negative keyword can only stop spend that a keyword triggered in the first place. Work out that share before you write a single exclusion, because it decides whether this work pays.

Walmart Sponsored Products serves across Search In-Grid, Carousel, Buy Box, Browse In-Grid, Stock Up, Home Page and other placements. Only the search-in-grid keyword auction is governed by keywords at all. The rest is item selection, relevance and your placement settings.

You can see the split in your own data without guessing. In Walmart's keyword-level reporting, an alphabetical or alphanumeric searched keyword means your ad showed in the Search In-Grid position for that query. A searched keyword that is a number means your ad showed on the Buy Box or Item Carousel of that item ID. Those numeric rows are not searches. No negative keyword will ever touch them.

Pull that report, split spend into rows with word-shaped searched keywords and rows with number-shaped ones, and you have your answer as a percentage. If it is 70 percent, negatives are the best hour you will spend this week. If it is 25 percent because your ad groups earn most of their impressions on carousels and Buy Box placements, then the honest next move is placement exclusion and item-level pruning, and negatives are a tidy-up. Both answers are fine. Building a 400-term negative list against a 25 percent share and reporting it as a spend fix is not.

Seven ways Walmart negatives behave differently from Amazon's

If you run both channels, the muscle memory from Amazon will cost you in seven specific places. We cover the Amazon side and its automation in depth in the wasted-spend routine for Amazon and in what negative keywords are on Amazon. This table is only the delta.

Two of those rows turn into an incident. Normalization plus no reporting means a bulk negation upload on Walmart can change what your campaigns bid on, in ways your report will not show you and your submitted file will not match. And the placement row is the one Amazon operators get wrong first, because the instinct to bid a placement down does not survive the trip.

A Walmart negation routine that holds up on auto campaigns

Once you know how much of your spend is reachable, the routine itself is short. Five steps, run weekly, and the fourth step is the one Walmart forces on you and Amazon does not.

Pull the item keyword report, not just the keyword report

If you have never opened either of these, start with the difference between them. For automatic campaigns, the keyword performance report is not available, because auto campaigns have no bidded keywords. The report that shows what customers typed is the item keyword report, which returns the bidded keyword, the searched keyword and the match type per item, for both automatic and manual campaigns. You can request it in Walmart Ad Center under reporting, or through the advertising API if you already pull reports programmatically.

One caveat to hold onto: Walmart's docs state that both the keyword and item keyword reports only include a row when impressions exceed 10, or ad spend exceeds zero, or attributed sales exceed zero, and that you should therefore expect a discrepancy against other reports and not compare the metrics directly. Practically, spending terms do show up, so your negation candidates are all there. What you cannot do is reconcile the sum of those rows to total campaign spend and call the difference waste.

Set the thresholds before you look at the data

Write the rule first, then run it. A defensible starting standard for a mature Walmart ad group: 30 or more clicks with zero attributed orders, or spend above your break-even cost per order at a conversion rate under a quarter of the ad group's average. Thirty clicks is a convention rather than a law, and the right floor depends on your price point and how much traffic the ad group sees. What matters is that the number is chosen when you are calm rather than when you are looking at a bad week.

Deciding the threshold in advance is also what makes the results comparable across weeks. A rule you re-derive every Monday produces a different list every Monday, and you never find out whether negation is working.

Choose the match type from the shape of the query, not by habit

Read the query and ask which one it is:

• A wrong-intent one-off, like a competitor product name or a search for a different size. Negative exact.
• A wrong-category modifier that recurs in many forms, like "refill," "for dogs," "used," "case only." Negative phrase, on the modifier.
• Your own hero product name showing up inside a campaign built for non-branded demand. Negative phrase, in that campaign only, which is exactly the portfolio-hygiene case Walmart Connect calls out.
• A term you are not sure about. Leave it, and check it next week. A phrase negative you regret costs more than a week of waste.

Check the bidding strategy on your auto campaigns before you write the negative

This step has no Amazon equivalent, and it applies to the automatic campaigns in your account rather than all of them.

Before you add negatives to an auto campaign, confirm it is on fixed bidding. After anyone changes the bidding strategy on an auto campaign, re-check the negatives on its ad groups rather than assuming they are still doing work, because eligibility went away when the strategy changed. Manual campaigns are unaffected, so the negatives you set there hold on any bidding strategy.

If an auto campaign has to run on dynamic bidding or Target ROAS for performance reasons, negatives are simply not available to it. Restructure instead: move the intent you want to protect into a manual campaign, where negatives hold regardless of strategy, and let the auto campaign chase volume with a tighter item set.

Handle the waste you cannot negate

Whatever is left after the search-triggered spend is dealt with needs different levers, and the first thing to understand is that one lever you may be reaching for does not exist. Walmart's placement and platform bid multipliers only move bids upward. The floor is 0 percent, which means bid at your base bid with no uplift rather than bid less, so there is no way to shade a carousel or Buy Box placement down the way a negative placement adjustment works on Amazon. Setting a multiplier to 0 percent does not switch a placement off either.

So to cut spend on a placement that converts poorly, you have four options: exclude the placement outright in your campaign's placement settings, split placements into separate campaigns so you can budget and pause them independently, lower the base item bid and accept that it affects every placement at once, or pause the item. Add item-level pruning for products that draw irrelevant impressions, and listing content work so relevance stops matching you to the wrong queries in the first place. Our guides to Walmart keyword research and Walmart ROAS cover how those interact with a target, and if you are picking software to run any of it, our roundup of the best Walmart ad management tools judges them on Walmart Connect API depth.

Where a manual Walmart negation pass breaks down

None of the five steps is hard. A good operator can do all of it in an hour with a spreadsheet and the item keyword report, and for one brand with six ad groups that is the right answer. Do not buy software for a problem this size.

The first thing worth trying beyond a spreadsheet is a saved report and a recurring calendar block. That gets you consistency of timing, which is most of the value. What it does not get you is consistency of judgment, because the person running it changes and so does the threshold in their head.

The second is a general-purpose AI tool. Paste the export in, ask which terms to negate, and you get a fast, decent answer, including the semantic calls a numeric rule cannot make, such as whether "sport" in a query is a competitor's line name or a genuine product attribute. That works, and it is genuinely useful. What it does not do is hold your operating standard steady from one week to the next, or reach into Walmart to check a bidding strategy before it recommends a negative, or write the negative once you approve it.

That is the break point, and on Walmart it is specific rather than general. The negation decision depends on live account state that has to be re-read every run: whether an auto campaign is still on fixed bidding, whether the term is also an active bidded keyword you would be switching off silently, and whether the spend is even search-triggered. Across 40 ad groups and a client roster, that precondition check is the step that gets skipped first, and skipping it is what makes the list stop working without anybody noticing.

Laid out by task, the three approaches divide like this.

Where Qore fits: the Walmart negation standard, written down once

Qore is where you turn a review you currently do by hand into a workflow that runs itself on a schedule. You describe the routine once, in your own words, it gets assembled into logic you can read and correct, you lock it, and it runs weekly across every ad group or every account in your roster.

For this routine, the encoded standard carries the four things a spreadsheet does not: the thresholds you chose, the precondition check on auto-campaign bidding strategy, the conflict check against active bidded keywords, and the memory of what was negated last month so a change in eligibility shows up as a diff rather than as a slow rise in spend. The semantic call still gets made, because branded-versus-competitor is a judgment and not a number, and the same inputs produce the same output so this week's list is comparable to last week's.

Actions start gated on your approval, and that gate is a setting rather than a permanent state. Once you have watched a routine make the same call correctly for a month, you can tighten its rules until it writes the clear-cut negatives itself and escalates only the ambiguous ones. The point of writing the standard down is that it becomes conservative enough to trust with the action, not just the recommendation.

Qore reads the account, analyzes it, and writes the approved negative no matter what runs your bids, so it sits alongside whatever bid manager you already use, or works with no automation platform at all. Where the accurate answer is bid movement rather than negation, that sits with Qinetix Walmart ads automation, which manages the base bids themselves inside a floor and a ceiling you set, rather than here.

What it does not do: it will not decide your thresholds for you, and it should not. You set the standard; Q helps you shape it and Qore runs it. It also cannot give you a control Walmart does not expose, so nothing here extends negatives to Buy Box or carousel placements, nothing here can bid a placement down when Walmart's multipliers only go up, and nothing here can report on what a negative blocked, because Walmart does not report that to anyone. Qore is in open beta, and you can sign up here.

What to do this week

Walmart negative keywords are a real lever and a narrower one than the Amazon equivalent. The sequence that gets value out of them: measure how much of your spend is search-triggered first, choose your thresholds before you read the data, prefer negative exact until a modifier proves itself, confirm your auto campaigns are still on fixed bidding on every run, and keep a record of what you negated so a change shows up. Then take the remaining waste to placement exclusion, campaign structure and item selection, which is where it lives.

The bottom line for ecommerce teams

• Measure before you build. Split your item keyword report into word-shaped and number-shaped searched keywords. The word-shaped share is all a negative keyword can ever reach.
• Auto campaigns need fixed bidding. Manual campaigns can use negatives on any strategy, but an auto campaign moved to dynamic bidding or Target ROAS loses eligibility, and no report will tell you.
• Exact first, phrase later. A phrase negative on a category term can cut real volume in an afternoon. Earn your way to it.
• You cannot bid a Walmart placement down. Placement and platform multipliers only raise bids, and 0 percent means base bid rather than off. To cut a weak placement, exclude it, split it into its own campaign, or lower the base bid.
• Keep your own record of what you negated. Walmart reports nothing on negatives, so your list is the only evidence of what is still in force.
• Everything off the search surface needs a different lever. Placement exclusion, campaign structure, item selection and listing content, rather than negation.