Marketing Analytics for Thousands of Brands — Zero Engineering Required
Sales, Marketing & GrowthE-Commerce · Analytics

Marketing Analytics for Thousands of Brands — Zero Engineering Required

Client: Confidential Client · Industry: Sales, Marketing & Growth

  • E-Commerce
  • Analytics
  • AI Agents
01Overview

Accurate numbers. In plain English. No data engineers.

We built an all-in-one e-commerce analytics platform trusted by thousands of online brands — ingesting 50+ live data integrations into dedicated data warehouses, with AI agents providing media-buying and inventory recommendations in natural language.

Every brand gets its own dedicated warehouse — data is never shared, commingled or processed in a shared environment.

02The Challenge

Accurate marketing numbers required data engineers most brands couldn't afford.

E-commerce brands were tracking CAC, LTV and ROAS across spreadsheets assembled from multiple export files — a process that took hours, produced stale numbers, and required engineering skills most marketing teams didn't have.

The tools that promised to fix it either oversimplified to the point of uselessness or required a full data engineering team to maintain. Brands were flying blind on their marketing spend because the alternative was too expensive to build.

03What We Built

50+ integrations. Dedicated warehouses. Natural-language querying.

01
50+ Live Data Integrations

Every data source an online brand uses — ad platforms, storefronts, email tools, payment providers — ingested and cleaned automatically, with no manual export steps.

02
Dedicated Warehouse per Brand

Each brand's data lives in its own dedicated warehouse — never shared, never commingled with another brand's data, regardless of platform size.

03
AI Agents on a Semantic Layer

AI agents sit on top of a semantic layer that understands commerce-specific concepts — CAC, LTV, ROAS, cohort retention — so recommendations are commercially meaningful, not just statistically correct.

04
Natural-Language Commerce Querying

Brands ask questions about their data in plain English and receive answers — no SQL, no dashboards to configure, no analyst required to interpret the output.

04Impact

Thousands of brands. Accurate data. No engineering team required.

2,700+

Brands on Platform

Online brands of all sizes running marketing analytics without a data engineering team.

50+

Live Data Integrations

Every commerce data source ingested and cleaned automatically — no manual exports, no stale data.

1 Warehouse

Per Brand

Dedicated warehouse for every brand — data never shared or commingled.

2,700+

Brands on Platform

0+

Live Integrations

Dedicated

Warehouse per Brand

NL Querying

No SQL Required

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