Olifant Digital vs Quartile: Which Amazon PPC partner fits your brand in 2026?

The short answer

Choose Quartile if you have strong in-house Amazon expertise, clean campaigns, and mainly want fast, automated bidding across many ad channels. Choose Olifant Digital if you’re an established brand doing roughly $1M to $50M a year on Amazon and want senior specialists owning strategy, listings, and profit. For example, Ekster added $688,406 in annual Amazon profit with us.

Our Amazon PPC management service is built around actual people running the account. Senior specialists review the account daily and set the strategy that software can’t. You get an operator who owns the result, with software doing the heavy data work.

Why this decision now

Amazon advertising is a large, competitive channel and spend keeps concentrating on this marketplace. In 2025, Amazon accounted for more than 75% of all US retail media ad spending, according to EMARKETER retail media analysis. What’s more, it predicts that Amazon’s US ad revenues will increase by 17.9% in 2026.

With spending concentrating this heavily on one channel, your daily bid and budget calls have a significant effect on whether your total advertising cost of sales (TACoS) moves in the right direction. Every bid the algorithm or team of specialists make will show up in your TACoS. By contrast, a low advertising cost of sales (ACoS) can still hide inefficient spending, if organic sales are performing well.

What is Quartile and how does its algorithm work?

Quartile, featured in our list of the best Amazon PPC agencies, describes itself as the world’s largest retail media optimization platform. It works with more than 5,300 brands, manages over $2 billion in annual ad spend, and covers Amazon, Walmart, Instacart, Google, Meta, and other channels. It typically uses a single-keyword campaign architecture, meaning each keyword gets its own campaign so the model can control every bid separately. It then adjusts bids dynamically, based on real-time performance data.

The technology is patented, and is good at speed, scale, and consistency. It reacts to the data faster than any person can. This speed is real, and it’s the main reason brands consider it.

Quartile also has people on every account. Each customer gets dedicated account support: a team that helps set strategy and explains the data. The difference from an agency like ours is scope and ratio. Quartile’s team manages advertising for thousands of brands, while our senior specialists run the whole Amazon account for 50+ brands.

What is Olifant Digital and how does human strategy work?

Olifant Digital is a full-service Amazon agency that manages over $100 million in annual client revenue across 50+ brands, with a 98% client retention rate and a 5.0 rating on Clutch. We staff senior people only, each with at least seven years of experience. This means that at no point will juniors learn on your account. You meet the team who will run your account before you sign.

Our team works the account every day, backed by Olifant AI, our in-house AI platform. The platform analyzes every account daily and surfaces high-converting keywords, wasted spend, and budget decisions against your margin targets. Our senior specialists review those decisions and act on them the same day. Our engineers build the platform in-house, and our data scientists review every account’s metrics daily.

Since Amazon ads’ performance is influenced by your Amazon account, we also manage the entire account through our full-service Amazon account management service. This includes:

• Listing optimization
• A+ Content and Brand Store creation
• Marketing strategy
• PPC management

Beyond Amazon, the same team runs DTC growth (Meta, Google, TikTok, email, and CRO) and marketplaces like Walmart, Target Plus, and Wayfair, for brands in the US, Europe, and Australia. For example, we run Target Plus for toddler carrier brand Wildride, and Amazon and Wayfair together for a US furniture brand.

Ads automation vs full-account ownership: a side-by-side comparison

Here’s how the two models of Olifant Digital vs Quartile compare across the mechanics that move TACoS and conversion rate positively on Amazon:

Read the table as ads automation versus full-account ownership. Quartile’s platform executes bids fast across many channels, while our senior team decides structure, reads context, and stays accountable for TACoS, listings, and organic rank.

Where an algorithm falls short on Amazon

An algorithm optimizes based on the data that it can see. This means that it essentially reacts to yesterday’s events which creates real gaps on a live account. These gaps apply to any bidding software left on its own, including the tools we use ourselves, which is why a person needs to own the account around it.

It reacts instead of planning

The model adjusts to past data. As such, it’s only as good as its historical data.

Also, because this type of system learns from past performance, it struggles with a brand-new product listing, newly launched brand, or product launches. In scenarios like these, its bidding decisions on new ASINs will often be more of an educated guess than an effective optimization and it can require more ad spend before it has enough data to perform well.

It can’t see your warehouse

Bid algorithms usually optimize against data about sales, conversions, and clicks. Unless inventory data is explicitly included, the algorithm won’t know when a given ASIN is about to run out of stock. As such, it will keep doing what it’s designed to do: keep spending efficiently on an ASIN that’s about to stock out.

The negative impact is twofold. You’re wasting money on acquiring customers for products that will be unavailable when they’re ready to buy and you risk losing your listing’s organic ranking.

This is one of the clearer cases where you need human oversight. You need someone to monitor stock levels and manually pause campaigns when you’re running low on stock.

It scales bad decisions

The whole pitch of an algorithm is based on the premise that it can apply a set of rules consistently across thousands of keywords, ASINs, and campaigns at once. However, this consistency at scale is only valuable if decisions are based on sound logic.

If the setup is wrong, software pushes more budget to a mistake faster. When this happens, a mistake that a human manager might restrict to one campaign gets multiplied across the account before anyone on your team has time to notice it.

This is one of the biggest arguments for human oversight that continues long after the initial setup.

It doesn’t fix the listing

Bidding can’t repair a weak title, poor images, or thin A+ Content. An algorithm will also not build your Brand Store from scratch or rewrite your detail page.

This limitation matters most for organic rank and conversion rate. Weak creative caps both, no matter how fast the bids move. When you have a confusing product title or poorly written bullet points, your conversion rate will remain low no matter how well the keywords and bids are tuned.

Also, when the conversion rate is low because of the listing itself, an algorithm won’t flag this as a problem to be fixed first. Instead, it just sees that the keyword or placement underperforms and responds by adjusting the bid.

In some instances, it can mean decreasing spend on a keyword that could, in fact, convert well if the listing was optimized. When this happens, you’re effectively giving up on real demand.

How Olifant Digital combines senior specialists with in-house AI

Used well, AI for Amazon PPC management is a real advantage. The gaps above appear when nobody owns the account around the software.

This is why we deliberately choose the following model: senior humans supported by AI.

Our in-house AI platform, Olifant AI, analyzes every account daily across Amazon, Meta, and Google. It surfaces high-converting keywords, wasted spend, and budget moves against your contribution margin targets.

Then, our senior specialists make the calls the software can’t. They’re the ones who can read the context and use this information to decide what to launch and pause, and when to defend. Applying their judgment, they use our 1-1-1-1 Scaling Method (one campaign, one ad group, one keyword, and one ASIN) to set the campaign structure so that every bid maps to a single outcome. They also apply our Kill Threshold Rule, which pauses a keyword with zero sales once it has run for 14 days and spent twice what a single sale earns you before ad costs.

This way, you get software speed and human judgment from a single team.

Where human strategy wins: named results

The proof that this blended approach works sits in our library of published Amazon case studies. Each one shows real numbers you can check.

Take the work we completed for Ekster, for example. Olifant AI analyzed performance at the SKU level every day, which showed our team how much budget was going to branded search instead of the category and competitor keywords that win new customers.

Then, our team of senior PPC specialists tied every decision back to TACoS targets. Together with a catalog rebuild, new listings, and A+ Content, this kept margins steady as revenue grew and added $688,406 in annual Amazon profit. That result came from account structure, listings, and daily decisions working together.

For Onsen Secret, we applied a similar approach. Olifant AI was used to measure profitability at the ASIN level so that we could identify high-performing ASINs.

The Onsen Secret case study also shows how to optimize listings before growing your paid traffic. In this case, we A/B tested hero images, titles, bullet points, and A+ Content. By making profitability the main focus, we added $95,934 in monthly Amazon revenue and tripled the brand’s Amazon profit.

MatchaBar’s Amazon account also captures the benefit of connecting PPC to listing work. After aligning its keyword strategy across PPC and SEO campaigns, paid and organic efforts started to reinforce each other. Paid ads drove sales which increased its organic rankings, adding $114,305 in monthly revenue after several previous agencies had failed.

Other published results include Wedge Guys, which added $305,771 in monthly Amazon revenue at 17% lower ACoS, and, on the DTC side, Coat Defense, which added $699,786 in monthly revenue after we rebuilt its Meta ads.

Looking for a Quartile alternative for Amazon?

Quartile works well when your team already owns strategy and wants faster bidding. Brands usually look for an alternative when they need a partner to own the whole Amazon account. It may be time to switch when:

• Your listings, A+ Content, or inventory planning have no clear owner, and bids alone aren’t moving TACoS.
• Your reports show ROAS and ACoS, but not TACoS or profit per product.
• You do roughly $1M to $50M a year on Amazon and want senior specialists you can reach directly in Slack.

What switching looks like

Most brands worry more about the handover than about the new partner. Here is how a switch to Olifant Digital runs:

• Weeks 1 to 2: access and audit. You add our team as users in Seller Central and the Ads console, and we audit campaigns, listings, and account health before we change anything. The KPIs for the 60-day guarantee are agreed in writing in the first 10 business days.
• Weeks 3 to 6: fix the leaks. We cut wasted spend, restructure campaigns with the 1-1-1-1 Scaling Method, and rewrite the listings that lose the most sales first.
• After that: weekly reporting. A weekly report in your Slack channel with TACoS and, when you share product costs, profit per ASIN, plus a weekly call with your team.
• You keep ownership. Your Seller Central and ad accounts stay in your name with your own admin access, and the campaign structures, keyword lists, and reports we build are yours if you leave.

Olifant Digital vs Quartile: the final verdict

Both options combine software and people. The real choice is how much of your Amazon business you want a partner to own: the advertising, or the whole account.

We say this plainly, because scale won’t fix weak fundamentals. If you’re still validating the product, put your money into the listing and inventory first, then come back to scale. As a rule of thumb, brands under roughly $1M a year on Amazon usually get more from fixing their top listings first. Check your numbers with our free ACoS calculator and TACoS calculator, and revisit an agency once Amazon revenue passes about $1M a year.

Comparing other Amazon agencies? Read Olifant Digital vs Tinuiti, Olifant Digital vs Amazon Growth Lab, Olifant Digital vs My Amazon Guy, and Olifant Digital vs Incrementum Digital.

Frequently asked questions

Olifant Digital vs Quartile: which is better for Amazon?

For established brands doing roughly $1M to $50M a year on Amazon that want one team to own PPC, listings, and profit, Olifant Digital is the better fit: senior-only specialists, a flat retainer from $2,000 per month, and a 60-day money-back guarantee on management fees. Quartile is the better fit for brands with in-house Amazon expertise that want automated bidding across many ad channels.

How much does Quartile cost compared to Olifant Digital?

Quartile doesn’t publish its pricing. According to G2 reviews and third-party pricing breakdowns, you get a custom quote based on ad spend, channels, and services, and some reviewers say Amazon DSP management costs extra. Olifant Digital publishes its starting price: a flat retainer from $2,000 per month with no percentage-of-spend fees, and custom pricing based on catalog complexity.

Is an Amazon PPC agency better than an AI platform like Quartile?

Neither an Amazon PPC agency nor an AI platform is categorically better than the other one as your brand’s needs will determine which route will deliver better results. An Amazon PPC agency wins when you need strategy, full-account ownership, and accountability for TACoS. An AI platform fits brands with straightforward catalogs and in-house PPC expertise that mainly need faster bid execution on campaigns they already run well.

Does Olifant Digital use software or humans to manage Amazon PPC?

Olifant Digital combines software with human oversight. Our in-house AI platform, Olifant AI, analyzes every account daily, while senior specialists with at least seven years’ experience make every strategic call and execute changes the same day.

Can an algorithm run Amazon PPC campaigns effectively without any human oversight?

Mostly no, at least not in any meaningful, fully autonomous sense. An algorithm can run bids on its own. It can also handle negative keywords and search term harvesting well on its own. However, it can’t plan launches, protect stock, or fix listings. As such, you’ll still need a person to own strategy.

What results has Olifant Digital delivered on Amazon?

Olifant Digital has more than 20 published case studies, each with a named brand and a specific dollar or percentage result. Several tie the result to a timeline: Elite Jumps grew revenue by 124% in 3 months, and Balanced Tiger grew revenue by 171% in 2 months. On the profit side, Ekster added $688,406 in annual Amazon profit.