Most Amazon ad accounts waste spend in places nobody's watching. I rebuild them into clean, rule-driven systems — then automate the bidding, harvesting, and negatives so ACOS keeps falling while sales climb.
A few accounts where the work showed up on the bottom line. Numbers are rounded — the full breakdowns are yours on request.
Held ACoS near 20% while turning $1.37M of ad spend into $6.7M in sales — the efficiency benchmark across my accounts.
Scaled a regulated beauty catalog with monthly budgets peaking past $300k, run on documented bid and negative rules.
High-volume supplements account — 320M+ ad impressions and 229k orders driven through structured, rule-based campaigns.
Seasonal toys account with sharp Q4 spikes — broad discovery early, exact-match harvesting before the rush, dayparted bids through peak.
Department-head-level PPC across multiple brands and portfolios.
Earlier: customer-experience and team-lead roles (2017–2020).
Send me your numbers and I'll tell you where the waste is and what I would fix first. No cost, and findings come back within 2 business days.
Every account gets the same disciplined loop. Nothing changes on a feeling; it changes on data and a documented rule.
Strip the account to a clean structure — single-purpose campaigns, tight ad groups, no overlap I can't measure. You can't optimize what you can't read.
Pick the work, or stack a few.
Reports go in, an optimization engine does the math, an upload-ready bulk file comes out. The judgment stays human; the grind doesn't.
bids · placements · harvest · negatives
Reads the Targeting, Placement, and Audience reports plus your bulk file, then writes back optimized bids and multipliers tuned to target ACOS.
reports → optimized bulk file
Monthly negatives and harvests applied against each product's own rule set — so wasted spend never compounds and converting terms get promoted.
monthly · per-product rules
Scores every target against the listing so off-intent keywords get flagged and cut before they ever burn budget.
scored against the listing
Pulls competitor and product-page data straight from the catalog, so targeting reflects what the listing and the market actually show.
competitor + PDP intel
Generates ready-to-upload campaign bulk files — structured ad groups, keywords, and starting bids — so launches take minutes, not afternoons.
one upload-ready file
Reads a Placement report plus your bulk file, then raises placement bid adjustments only where a placement clears your ROAS/ACoS threshold — output is an upload-ready bulk file.
threshold-based · bulk .xlsx
After a Prime Day or Marquee push, reverts campaigns to their original budgets and placement multipliers — portfolio-preserving — with one generated bulk file.
post-event · one bulk file
The third-party software I run day to day — research, automation, and account management.
ClickUp
Helium 10
Jungle Scout
Brand Analytics
DataDive
Data Rova
Hector
Google Suite
Keepa
Claude CodeClickUpHelium 10Jungle ScoutBrand AnalyticsDataDiveData RovaHectorGoogle SuiteKeepaClaude Code
The Amazon spaces I've run ad spend in — each with its own buyers, seasonality, and margin math.
Send me your numbers and I'll go through the account. You get a plain-English read on where the money is going, at no cost. If it's worth taking further, we'll put fifteen minutes on the calendar.
Your numbers stay between us, and you don't hand over account access to get a teardown. Prefer email? kirkjabeduremdes26@gmail.com
I go through every account myself. Findings back within 2 business days, and the call only happens if you want one.