// 01 Amazon · AI operations for premium brands

For years I was the brand owner getting one hour of an agency's attention a week. So I built one that never looks away.

I spent 15 years inside premium distribution and etail — and watched agency after agency spread one account manager across a dozen brands, glancing at my account the morning before each call.

// 02 Why I left agencies behind

One account manager. Twelve brands. A calendar that reaches yours once a week.

Traditional agencies are bottlenecked on human attention. Your account gets opened the afternoon before the call, a report gets pulled, and whatever the manager happens to notice gets raised. A competitor undercut on Tuesday, a converting keyword slipping, a sales dip with no obvious cause — all of it has days to compound before anyone says a word. I lived this as the client. It's not negligence; it's arithmetic. No human can watch every signal on every account in real time.

// 03 The shift

The data was always there.
The bottleneck was attention, not information.

Amazon already publishes everything that matters — search-term performance, session velocity, conversion, rank movement, competitor pricing, review shifts. None of it is hidden. It's simply too much for one person to watch live. Software can. So I built the layer that watches continuously, and I sit behind it to decide what actually matters.

// 04 The buyer's-eye view

I look at your listing the way your customer does — then tell you what's beating you.

Every day, the monitor reads the competing products the way a shopper would: their images, their copy, the keywords they rank for, and what their reviews say buyers actually love and hate — yours included. It turns that into specific, ranked suggestions: the photo that's losing the comparison, the benefit your bullets bury, the keyword a rival just started winning, the complaint showing up again and again in your reviews. Not a quarterly audit — a standing read on why a shopper picks them over you, and what to change this week.

Diagram: how the monitor reads four aspects of your listing the way a shopper would — photo, reviews, keyword, and price — with one example finding per axis. The price card is highlighted in yellow to mark a live alert.

Your listing seen as a shopper sees it PHOTO losing the comparison REVIEWS recurring complaint KEYWORD rival just started winning PRICE competitor −7%, review now FLAG
  • 01reviews
  • 02imagery
  • 03copy
  • 04keywords
  • daily

// 05 What I actually do

The three signals that move sales — watched continuously.

Three disciplines, ordered by where the real leverage sits for a premium brand. Watched continuously — so a move at 9am isn't a finding at 5pm on Friday.

  1. 01

    Sales & buyer-behaviour intelligence

    Your own account data, read every day instead of once a week. Sessions, conversion, where buyers drop, which products carry the account and which are quietly sliding — surfaced as it happens, not recapped after the fact.

    per-ASIN · daily
  2. 02

    Competitor analysis

    Continuous tracking of the SKUs that compete with yours — price, rank, reviews, content and ad moves. A rival funding a new campaign or undercutting your floor is something you hear about the day it starts, not the month it costs you the category.

    tracked · daily
  3. 03

    Keyword & search intelligence

    Search-term performance monitored at the individual-keyword level. The terms that actually convert, the ones bleeding ad spend, and any rank slide caught in week one — before a quiet drop becomes a category loss.

    term-level · live