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Most articles about Amazon Advertising Examples: 12 Campaigns Beauty & Supplement Brands Can Copy make the same mistake. They hand you isolated wins from Amazon, then imply the answer is to push harder into a marketplace that already punishes sloppy structure, weak economics, and lazy campaign sprawl.
That's backwards.
If you run beauty, skincare, or supplement ads with a real P&L attached, Amazon should be treated as a mature channel where you defend rank, harvest proven demand, and launch with discipline. The bigger upside often comes from taking the campaign logic that works on Amazon and applying it to Walmart Connect, where competition is lighter and operational mistakes are easier to fix before they become expensive habits.
The examples below matter because they're reusable systems, not inspirational screenshots. Some come directly from Amazon case studies. Others are the campaign types we'd copy, adapt, and deploy for brands that need profitable growth across Amazon and Walmart, not vanity metrics inside one dashboard.
You're probably searching for Amazon campaign examples because you want something proven. Fair. But the wrong lesson from most Amazon case studies is “copy the ad type.” The right lesson is “copy the operating system.”
Take Tree Hut. For a new lifestyle product launch, the brand used Amazon Ads' managed full-funnel New Product Campaigns and saw a 27% increase in new-to-brand customers according to Amazon's Tree Hut case study. That matters because it shows full-funnel orchestration can create demand beyond branded search and bottom-funnel retargeting.
What too many operators miss is the transferability of that model. If full-funnel targeting can move acquisition on Amazon, it often becomes even more valuable when you apply the same thinking to a less crowded marketplace like Walmart, where many brands are still running blunt, one-layer sponsored campaigns and calling that a strategy.
That's also why strong measurement matters more than another round of bid tweaks. If you're trying to separate branded demand from actual incrementality, this guide to Amazon analytics for eCommerce growth is worth reviewing before you touch budgets again.
Practical rule: Don't copy campaign formats. Copy the shopper journey the format is designed to capture.
Amazon still deserves serious attention. It's where many brands defend branded terms, protect hero ASINs, and convert existing demand at scale. But mature marketplaces create a specific trap. Teams spend weeks squeezing tiny efficiency gains out of bloated legacy structures while ignoring cleaner growth opportunities elsewhere.
On private calls, the pattern is usually the same. The account has too many campaigns, too little segmentation, and no hard distinction between launch spend, harvesting spend, and defense spend. Then the brand asks why profitability keeps drifting.
A better frame is simple:
If you're still setting marketplace budgets from a single blended number, start with a sharper planning model. This breakdown on Amazon advertising cost and what to budget in 2026 is a useful reference point when you're deciding what belongs in defense spend versus expansion spend.
Most agencies stay vague on Walmart because they don't have enough live spend flowing through the platform to say what “good” looks like. That leads to bad decisions fast. A weak account gets called healthy, and a promising account gets cut before it has enough structure to mature.
Here's the benchmark view we use for Walmart Connect.
These are the benchmark ranges we use as a practical scorecard for Walmart Connect Sponsored Products in beauty, supplements, and CPG.
| Metric | Beauty & Skincare | Supplements & Wellness | CPG (Food & Beverage) |
|---|---|---|---|
| ACOS | 15% - 20% | 15% - 20% | 15% - 20% |
| ROAS | 5x - 6.5x | 5x - 6.5x | 5x - 6.5x |
| CTR | 0.5% - 1.0% | 0.5% - 1.0% | 0.5% - 1.0% |
| Conversion Rate | 8% - 12% | 8% - 12% | 8% - 12% |
These aren't abstract targets. They're operating thresholds. If your CTR is soft, your keyword and placement alignment is usually off. If conversion rate is weak, the issue often sits downstream in content, price-pack architecture, reviews, or mismatch between ad promise and PDP reality. If ACOS looks fine but blended profitability still stings, attribution is flattering a weak campaign.
Walmart can look cleaner than Amazon on the surface. That's exactly why bad analysis slips through.
Three rules keep the read honest:
If your Walmart numbers look amazing but your organic contribution isn't improving, the ads are probably renting sales, not building a position.
Amazon-first brands often miss the opportunity. They know how to build exact-match harvesting on Amazon, but they bring over all the clutter too. Walmart usually rewards cleaner architecture. Fewer campaigns. Tighter SKU grouping. Stronger negatives. Less internal competition.
What Clickstera Does Differently: We don't judge Walmart accounts on ad metrics alone. We read marketplace ads against inventory position, organic movement, and cross-channel demand so you can tell whether growth is compounding or just being paid for one click at a time.
The best Amazon advertising examples aren't single ads. They're repeatable structures with clear jobs. For beauty and supplement brands, we'd group the 12 campaign types worth copying into three systems.
This is the most underused structure in beauty.
Beauty brands that organize Sponsored Products around routine-based keyword clusters, such as “morning serum” versus “night cream,” can see 20% to 35% higher conversion rates than generic product-level campaigns, based on Amazon's beauty routine case study. That logic carries cleanly into Walmart because shoppers still buy into routines, regimens, and use cases, not just ingredients and sizes.
Here are the first four campaigns we'd copy from that model:
Morning routine exact-match campaign
Use high-intent searches tied to daytime use. Keep the SKU set narrow. Don't mix every serum variant into one ad group.
Night routine exact-match campaign
Separate this from morning traffic so bids and search term data don't blur together.
Routine phrase-match discovery campaign
Let this find adjacent demand. Then promote proven terms into exact.
Routine cross-sell brand campaign
Pair cleansers, serums, creams, or masks that belong in the same regimen. Such pairings often lead to improvements in average order value and repeat rate.
The key is negative separation. If you don't block overlap between routine buckets, your own campaigns compete against each other.
A strong Walmart build usually starts from existing search-term data. Pull what converted in Amazon auto and manual campaigns, bucket those terms by routine, then rebuild with cleaner intent separation. If you need a tactical model for that migration, this guide on how to structure Walmart Sponsored Products campaigns is the right starting point.
Broad category campaigns make reporting easy and optimization sloppy.
Supplements need a different machine. Search still matters, but relying only on bottom-funnel Sponsored Products caps growth and usually inflates acquisition costs over time.
A wellness supplement case study showed that brands using Amazon DSP with first-party AOV and LTV segments achieved 6x to 9x ROAS on top-of-funnel awareness, with one example delivering 8.35 ROAS, while Sponsored Products ACOS on the same segment dropped by roughly 22% after rollout, according to this DSP case study for health and wellness brands.
That gives you the next four campaign types to copy conceptually:
High-LTV lookalike awareness campaign
Seed demand with audiences modeled from your best repeat buyers, not your broad customer file.
Bundle-focused audience campaign
Build around people who bought multi-SKU combinations or who show stronger replenishment behavior.
Retargeting campaign for comparison-stage shoppers
Bring back detail-page viewers with sharper creative and tighter SKU alignment.
Bottom-funnel exact campaign aligned to the same audience theme
Match search campaigns to the same use case or bundle logic as the awareness layer.
For Walmart, the equivalent may not map feature-for-feature, but the operating principle still holds. Build upper-funnel demand around the customer types you want more of, then narrow into lower-funnel sponsored search with aligned product sets and messaging. Supplement brands that skip this usually overdepend on a tiny cluster of high-intent keywords and hit a ceiling early.
Launches fail when brands either spread spend across too many products or overcommit before they've harvested enough signal. Amazon's new product examples are useful here because they show launch momentum comes from structured sequencing, not panic spending.
These are the last four campaigns worth copying:
Auto launch harvesting campaign
Start broad enough to collect real query data.
Manual exact launch campaign
Move proven converting terms out quickly and bid them separately.
Competitor conquest launch campaign
Useful when your differentiation is obvious on the PDP and pricing is defensible.
Branded defense campaign for launch spillover
Once discovery starts working, protect the branded queries that follow.
What Clickstera Does Differently: Most agencies either over-fragment launches or leave them too loose for too long. We treat launch campaigns as temporary research environments first, then shift budget only after the account shows clear harvesting paths and enough inventory support to hold momentum.
Campaign examples are easy to admire and hard to apply if your account is leaking money. Before you launch anything new on Amazon or Walmart, run a hard audit.
Stage 1 is Spends Allocation. You check whether the budget is sitting on the right products, marketplaces, and campaign types. Most accounts fail here before anyone notices because spend gets distributed by habit instead of by margin profile, inventory position, or product role.
A common problem in beauty is equal treatment for unequal SKUs. Hero products, accessories, seasonal products, and weak-tail items all pull from the same pool. That's how a decent account ends up subsidizing mediocrity.
Stage 2 is Bleeders. In this stage, you identify campaigns, search terms, or placements that keep spending without producing profitable movement. In practice, these are often old autos left unattended, generic category terms that never mature, and broad campaigns that eat budget while exact campaigns stay underfunded.
Beauty by Earth is a good illustration of what happens when you clean this up. After an Amazon PPC restructure and tighter negative keyword harvesting, the brand saw ACoS drop 12 points to 28%, revenue grow 27% in 30 days, and 15% of non-converting traffic spend eliminated, according to the Beauty by Earth case study.
A quick self-check:
Stage 3 is Harvesting.
This is the part brands rush through. They run automatic or broad discovery, spot a few winners, then leave the rest of the account messy. Proper harvesting means mapping converting search terms into new manual structures with clear match type roles and negatives that prevent re-collision.
Stage 4 is Headroom. Once you know what's converting, the question becomes how to scale without wrecking unit economics. Headroom doesn't mean “raise budgets everywhere.” It means identifying where the account can absorb more spend. That might be branded defense on Walmart, routine-level exacts in beauty, or high-intent bundle queries in supplements.
A disciplined account doesn't scale because the budget increased. It scales because the structure gave the budget somewhere intelligent to go.
If you only have an hour, audit in this order: budget concentration, search term waste, negative coverage, then scaling candidates. That alone usually reveals the top leaks faster than another dashboard export.
Most PPC teams talk about compliance only after an ad gets rejected. That's too late. In beauty and supplements, compliance affects creative angles, copy approval, category expansion, and how aggressively you can scale.
Here, generic agencies get exposed.
Supplement advertising on Amazon and Walmart faces heightened FDA and FTC scrutiny around health benefit and clinical efficacy claims, while beauty products follow a different messaging framework, as noted in this piece on health and wellness advertising restrictions. If your team writes supplement ads the same way it writes skincare ads, you're inviting suppression or unnecessary review friction.
For beauty, the practical issue is usually tone and implication. Copy can still get flagged if it sounds diagnostic, overly personal, or pushes direct problem statements too aggressively. For supplements, the issue is stricter. Claims around outcomes, body functions, efficacy, and substantiation need tighter control.
The smart move is to create two internal review lenses:
The fastest way to lose momentum on Walmart is to treat compliance as a platform nuisance instead of a campaign input. We'd run a short pre-flight review on every creative set before launch.
Use this checklist:
What Clickstera Does Differently: We separate compliance review by category before the launch plan is finalized. That prevents wasted production cycles and avoids the common agency mistake of building creative concepts the marketplace was never likely to approve.
Split based on role, not emotion. If Amazon is already carrying branded defense, mature exact-match search, and your core hero SKUs, pouring more money into the same structure may only buy more expensive incremental sales. Walmart is often the better place to extend proven campaign logic once your Amazon account has a stable baseline.
Move what already has evidence. That usually means proven keyword clusters, strong hero products, bundles with clear use cases, and branded defense logic. Don't migrate campaign clutter. If a structure only exists because the Amazon account drifted over time, Walmart is your chance to rebuild it cleanly.
Audit first if the catalog is healthy and the main issue is waste, overlap, or weak keyword control. Rebuild when campaign roles are unclear, products are grouped badly, and reporting can't tell you what each campaign is supposed to do. If your team can't answer why a campaign exists in one sentence, that campaign probably needs to be replaced.
They're simpler in some ways and less forgiving in others. Cleaner competition doesn't mean sloppy execution gets rewarded. Walmart punishes weak structure fast because there's less noise to hide behind. If your campaigns are well segmented and your listings are ready, that simplicity becomes an advantage.
They assume channel expansion means copying the same account. It doesn't. You want the same strategic logic across marketplaces, but the campaign architecture, compliance review, and budget pacing should reflect each platform's behavior. Copy the system. Rebuild the execution.
Want us to audit your Amazon/Walmart ad account for free? Clickstera offers a no-obligation PPC audit where we identify your top 3 budget leaks within 48 hours. Book yours at Clickstera Solutions LLC.
Talk to Clickstera and get a clear next-step plan to scale your performance marketing.