PROJECT 05 · AI margin intelligence

Amazify — revenue is a vanity metric. Profit is the only truth.

Amazify is not an agency. Not a platform. A new species — agency expertise delivered by an always-on swarm of specialized AI agents, powered by CONTEXTUA. We partnered with the team to build the product behind the positioning: the margin-intelligence engine, the operator dashboard, and the campaign-level intelligence that turns raw Amazon data into profit decisions.

Project by Amazify · Powered by CONTEXTUA

Next.js Node workers Amazon SP-API Amazon Advertising API AI agents Postgres & Redis

Live product tour

Amazify marketing landing page — revenue is a vanity metric, profit is the only truth

Amazify KPIs overview dashboard with margin intelligence

Amazify campaign-level advertising intelligence

Highlights of the Project

1. An always-on swarm of AI agents. Agents trained on billions of Amazon signals monitor PPC, inventory, listings and reimbursements non-stop — while human operators turn that intelligence into action.

2. Margin-first, not revenue-first. The product is built around margin-aware metrics: mACoS, ROAM, organic cannibalization, recovery — not just top-line sales numbers.

3. Honest, operator-grade dashboards. Revenue, ad spend and TACOS on one chart. Per-campaign ACOS, ROAS, CTR, CPC with period comparisons. Everything a serious seller needs to decide in minutes.

4. Built on Amazon SP-API + Advertising API. First-party data, not scraped data — which is why the numbers can be trusted on a P&L call.

Amazify KPIs Overview dashboard with revenue, ad spend and TACOS chart

Dashboard · KPIs Overview

Revenue, ad spend and TACOS — on a single honest chart.

The KPIs Overview answers one question: "Are we actually making money this week?" Revenue is plotted as an area, ad spend as columns, and TACOS as a line on the right axis — all for the selected analysis window, all compared to the previous period.

Below the chart, core business metrics roll up total sales, gross revenue, net profit, ACOS, TACOS, ad spend, sessions, page views and unit session % — each with a vs-prior comparison. The moment a metric moves the wrong way, the team sees it.

Amazify campaign-level advertising metrics with ACOS, ROAS, CTR, CPC comparisons

Advertising · campaign level

Every campaign, every SKU — with honest deltas against the prior period.

Spend, sales, ACOS, ROAS, CTR, CPC, impressions, clicks and conversion % for every campaign — with a vs-comparison delta on each cell. The campaign table is sortable, paginated for large accounts, and designed for operators who make 30 decisions before their second coffee.

SKU / ASIN performance is stitched in below: unit sales, sessions, buy-box %, ad metrics and health signals per SKU. The AI agents use the same table to flag outliers and propose fixes.

Amazify margin intelligence marketing page with CONTEXTUA live dashboard

Margin Intelligence · CONTEXTUA

Standard ACoS. mACoS. ROAM. Recovery. Margin improvement.

The Amazify marketing page carries the exact numbers the product delivers — not stock photography. A live CONTEXTUA panel shows Standard ACoS, Margin-Aware ACoS (mACoS), ROAM, organic cannibalization, recovery from FBA and TikTok, and quarterly margin improvement.

We designed this as the proof surface of the product itself: what visitors see on the marketing site is exactly what logged-in operators see inside the app — so the promise and the product never disagree.

Always-onAI agent swarm

SP-APIFirst-party data

mACoSMargin-aware metric

+$127KQ1 margin improvement

01 The Client

Amazon agency expertise, delivered by an always-on AI agent swarm.

Amazify is an Amazon growth team that refused to pick a lane between "agency" and "SaaS". Their bet: take the people and playbooks of a serious Amazon agency, couple them to an always-on swarm of specialized AI agents, and sell the outcome — margin improvement — not the tool. Their slogan — "Revenue is a vanity metric. Profit is the only truth." — set the tone for every product decision.

Amazon Agency + SaaS AI agents Margin-first CONTEXTUA

02 The Challenge

Three problems between "agency promises" and "product-grade reality".

⇆

Agency data, SaaS reliability

Agencies are used to pulling reports ad-hoc. SaaS users expect numbers that stay correct at all times, across dozens of accounts. Getting from one to the other required a real data backbone.

⌖

Margin over revenue

Off-the-shelf Amazon metrics don't tell you margin. We had to build mACoS, ROAM, organic cannibalization and recovery as first-class metrics — computed live, per SKU, per campaign.

✹

AI agents that are actually useful

"Let's bolt on ChatGPT" is not a product. We had to design a narrow, purposeful set of agents — each with scoped responsibilities around PPC, inventory, listings and reimbursements.

03 Our Solution

What we shipped — one margin engine, five decisive wins.

First-party data layer On Amazon SP-API and Advertising API, with job queues and worker pools that respect rate limits at scale.
Margin-aware metrics engine Computes mACoS, ROAM, organic cannibalization and recovery per SKU / per campaign / per period.
Operator-grade dashboards Analysis period + comparison period baked into every chart and every cell.
CONTEXTUA-powered agent layer Scoped roles for PPC, inventory, listings and reimbursements — feeding intelligence into the operator's queue, not replacing them.
Marketing surface = product surface The promise and the app show the exact same numbers — they never diverge.

04 The Outcome

A credible "agency + AI" offering, measured on margin — not vanity.

+$127KQ1 margin improvement

Always-onAgent swarm

mACoSFirst-class metric

SP-APIFirst-party data

Amazify now runs as a credible "agency + AI" offering — a team of operators augmented by an always-on agent swarm, measured on margin improvement instead of vanity revenue. Their live CONTEXTUA panel (+$127,400 margin improvement, Q1) is not a mockup — it's a screen from the product. That's the standard we build to.

Building an AI + human hybrid for Amazon sellers? Let's talk.

We've shipped 50+ tools for Amazon sellers and agencies since 2017 — from repricers to margin-intelligence systems. If you're designing anything in the same lane, we're happy to share honest architecture advice on a call.

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Case Study