The Quartile Alternative That Shows Its Work
Quartile automates at the catalogue level: you set ACoS or TACoS targets and the system builds campaigns beneath them. That works until performance drops, at which point there is little to troubleshoot. Dr. PPC runs the same automation with a readable change log and human operators reviewing it, at $300/mo plus 3%.
What do you actually get with catalogue-level targets?
Quartile's model is that you should not have to think about campaign structure. You set an efficiency target for the catalogue and the platform generates the machinery underneath — typically a very large number of narrow, often single-keyword campaigns.
For a brand where advertising is a minor channel, that trade is reasonable. Nobody wants to hand-manage a thousand campaigns. The trade stops being reasonable when most of your sales come through advertising, because then the machinery beneath the target is your business and you cannot see into it.
The specific failure we have hit repeatedly is troubleshooting. When performance drops and the only lever exposed to you is a catalogue-level target, there is no diagnosis available. You can move the target and watch what happens, which is not the same thing as knowing what changed.
What did we find in accounts we took over?
In one takeover of a children's play-mat brand, the tool had made roughly 1,800 changes in a single day, with no reason recorded against any of them. We also inherited ten campaigns running the same keyword list, which means the account was bidding against itself in the same auctions.
In a separate audit we found a large population of campaigns that had spent money and produced zero sales. That is the predictable output of generating campaigns automatically at volume without a pruning discipline — the same pattern we have seen in a legacy vendor account carrying 17,000 campaigns of which fewer than 200 had spent anything in sixty days.
One more thing worth stating plainly, because it is the part most comparison pages leave out: changes kept appearing after the tool was supposedly disconnected. If you migrate off any automation platform, verify that API access is genuinely revoked before you rebuild, or you will be optimising against a process you cannot see.
What did Quartile do better?
Live hourly data. The clearest advantage we have heard described — including by someone who worked there before joining our team — is knowing the going top-of-search bid by the hour. That is a real edge and it is why the tool sometimes wins placements a slower system misses.
And an honest counterpoint from our own notes: in the first weeks after one takeover, the brand's BSR had been better under the incumbent tool. We wrote that down rather than explaining it away, investigated what the tool had been doing that we were not, and treated it as a gap to close. Dr. PPC now pulls hourly Amazon Ads data for exactly this reason.
If your account is winning and you can live without visibility, there is no urgent reason to move. The case for switching is about control, cost and auditability — not about the incumbent being incapable.
How do the two approaches compare?
The comparison that matters is not feature lists, it is what happens on a bad week. Both approaches automate. Only one of them can tell you why.
| Dimension | Catalogue-target automation | Dr. PPC |
|---|---|---|
| Where you set goals | Catalogue-level ACoS or TACoS target | Per-lane targets: branded harvest, non-branded growth, discovery |
| Campaign creation | Automatic, at volume, often single-keyword | Structured lanes with budget envelopes; pruning is part of the loop |
| Change visibility | Changes execute without a reason recorded — we counted ~1,800 in one day in an inherited account | Every change carries a reason you can read, and a revert path |
| Troubleshooting a drop | Move the target and observe | Read the log, find the decision, revert the decision |
| Human review | The algorithm is the review | Operators from a $500M+ Amazon portfolio review the agent's work |
| Hourly bid data | Historically a genuine strength | Hourly Amazon Ads data — added specifically to close this gap |
| Vendor Central (1P) | Coverage varies by account type | Validated on a live vendor account |
| Published price | Quoted per account | $300/mo + 3% of ad spend, capped, month-to-month |
Ask any automation vendor three questions: can I read a log of every change with its reason, who reviews the agent's work, and what does the system refuse to automate. A vendor with no answer to the third question has not thought about the problem.
Frequently asked
Is Quartile bad software?
No. It is software built for a brand that wants to set a target and stop thinking about advertising, and it has a real strength in hourly bid data. It is a poor fit when advertising drives most of your sales and you need to diagnose a bad week rather than wait one out.
What breaks when you migrate off an automation platform?
Three things, in our experience: duplicated keyword lists across campaigns that now compete with each other, a long tail of campaigns that spent money and never converted, and residual API access that keeps making changes after you think the tool is gone. Verify the disconnection before you rebuild.
How long does a rebuild take?
Plan for a rebuild plus three to four weeks of algorithm recovery. In one full restructure we consolidated an inherited account into branded, non-branded domination, discovery and growth lanes and saw total advertising cost of sale fall from 26.79% to 8.99% while revenue held within 4%.
Do you charge a percentage of ad spend?
Yes — 3% of ad spend on top of $300 a month, published and capped. We think the honest argument is about whether the fee is transparent and whether the work is auditable, not about which fee basis is fashionable.
Dr. PPC runs your Amazon ads daily — an AI agent doing the work, operators from a $500M+ Amazon team supervising. $300/mo + 3% of ad spend, published and capped, month-to-month.
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