Mina Elias Amazon PPC: Who He Is and How His Method Actually Works

Who Mina Elias Is

Mina Elias built a supplement brand while working full-time as a chemical engineer, funding the ad spend himself and learning Amazon PPC the slow way — trial, error, and his own money on the line. That brand still runs today, and it's the credibility behind Trivium Group, the agency he started after other sellers began asking him to manage their accounts.

He later packaged what he learned into PPC University, a paid course with 300+ students and 60+ modules covering campaign structure, targeting, bid strategy, search term reports, and Amazon DSP. He's also active on LinkedIn, where his more recent posts talk about building AI agents to speed up the account audits he used to sell as a $5,000, three-week deliverable.

None of this makes him unique in being a practitioner-turned-teacher — plenty of Amazon PPC educators have that arc. What sets his content apart is how mechanical it is: he teaches the actual sheet-level workflow, not just concepts.

The Core Method: Harvest, Negate, Repeat

The backbone of his teaching is the search term report, pulled and read regularly rather than glanced at monthly. The logic is simple: a search term that's already converting under a broad or auto campaign is proof of demand, and it deserves its own exact-match campaign with its own bid. A search term burning clicks with no orders is proof of the opposite, and it gets negated before it costs more.

Here's the arithmetic that makes the decision, not just the theory. Say a search term shows 40 clicks, 3 orders, and $52 in ad spend against an average $60 sale price — that's roughly 29% ACOS at the term level, worth pulling into its own exact match campaign at a bid you control. A neighboring term with 85 clicks and zero orders isn't underperforming, it's telling you to cut it before it costs another $100 this month.

The mistake most sellers make applying this isn't the math — it's the patience. Pulling the trigger on 15 clicks and no sale isn't a pattern yet on most search volumes; it's noise. We've made this exact error ourselves: killing a keyword at eight clicks because ACOS spiked, only to see later that it converts reliably by click ten. The report tells you what happened. It doesn't tell you the sample size was too small to act on.

Using PPC to Move Organic Rank

The other piece of his framework that doesn't show up in most beginner content is using PPC deliberately to influence organic rank, not just to drive direct sales. The idea: a keyword that converts well under a paid click also tells Amazon's algorithm something about relevance, and sustained ad-driven conversions on a term can pull the organic ranking for that same term upward over time.

This only works if you're tracking organic rank on the specific keywords you're pushing spend against — not just watching total sales. Without that tracking, you can't tell whether a budget increase actually moved rank or just bought more of the same clicks at a higher cost. This is the piece sellers skip most often, because it requires a rank tracker running alongside the ad account, not just the Amazon ad console.

Bid Math and Bulk Sheets

At scale, his method moves from the campaign manager UI into bulk sheets — spreadsheets that let you push bid changes across hundreds of keywords in one pass instead of clicking through them one by one. The logic is target-ACOS driven: raise bids on keywords running under target, cut bids (or pause) on keywords running over, and check placement reports separately, since top-of-search and rest-of-search often carry very different efficiency for the same keyword.

• Placement-level ACOS — top of search usually costs more per click but converts better; blending it with rest-of-search numbers hides which one is actually working.
• Bulk sheet cadence — weekly is the rhythm he teaches; monthly is too slow to catch a bleeding keyword before it costs real money.
• Bid step size — small, frequent adjustments beat large infrequent ones, because a big bid cut can also kill a keyword's delivery entirely.

The Process, Staged

The table below lays out the audit cycle as he teaches it — the same shape, roughly, that any account running search term harvesting and bid management week over week will follow, regardless of who's operating it.

Where Automated Management Fits Alongside This

The method works. It also takes real hours — pulling reports, building harvest campaigns, adjusting a bulk sheet, checking placement data, checking rank — every week, for every ASIN. That's manageable for one brand run by someone who knows it intimately. It gets harder past a few dozen SKUs, multiple marketplaces, or a small team stretched across other work, which is exactly where sellers start looking for something that runs the same discipline without the weekly manual labor.

That discipline — evidence before a change runs, a way to measure whether it worked, and a rollback if it doesn't — is the same standard any serious PPC process should meet, whether a person is running it by hand or software is running it on their behalf. That's the standard Dr. PPC, from Full Circle, builds its account management around: every proposed change carries the evidence behind it, a measurement plan, and a rollback trigger before it runs, priced at $300 a month plus a capped 3% of ad spend, with Orbit — the analytics and tracking suite, the same kind of tooling this method depends on — included rather than sold separately. It's not a replacement for understanding the mechanics Mina Elias teaches; it's what running those mechanics looks like once an account is too big to do by hand.