Case study

Tinuiti

Empowering one of the world's largest Amazon agencies to scale from 35 to 3,500 clients by rebuilding their data and automation backbone from the ground up.

120+ Automations LiveDevOpsData Engineering
Tinuiti case study hero
Client
Tinuiti
Industry
Amazon · Multi-marketplace advertising
Duration
Ongoing partnership
Services
DevOps, Data Engineering, ETL pipelines, Automation

About the project

Tinuiti manages advertising across Amazon, Walmart, TikTok, Instacart, and Criteo but their teams were stuck with fragmented reporting and heavy manual work.

Techesthete rebuilt their data and automation backbone from scratch, creating a multi-source ETL pipeline and a unified BI framework that pulls every marketplace into one real-time dashboard. This foundation now powers AI-driven budget allocation, audience automations, and rapid dayparting.

Challenge

Tinuiti's growth was explosive scaling from 35 to 3,500+ clients and their data systems couldn't keep up.

They needed to process billions of rows across five marketplaces, update in near real-time, and automate optimizations inside two-minute dayparting windows. Any delay meant wasted spend.

We engineered a system that stayed accurate, fast, and stable even when millions of dollars were being optimized every hour.

What we did

  • Built multi-source ETL pipelines for all major marketplaces
  • Created a unified BI warehouse for clean, consistent reporting
  • Integrated Amazon Marketing Cloud (AMC) for deeper audience insights
  • Developed automation engines for bidding rules, pacing logic, and dayparting schedules

In short, we transformed fragmented reporting into a fully automated growth system.

Multi-source ETL pipelines ingest and standardize campaign data across Amazon, Walmart, TikTok, Instacart, and Criteo in

Multi-source ETL pipelines ingest and standardize campaign data across Amazon, Walmart, TikTok, Instacart, and Criteo into one unified warehouse.

Automation engines power bidding rules, pacing logic, and rapid dayparting on top of the real-time data layer.

Automation engines power bidding rules, pacing logic, and rapid dayparting on top of the real-time data layer.

Result

Tinuiti's campaigns now optimize themselves fast, accurate, and built for scale. With a stable real-time data layer and automation engine, Tinuiti scaled from 35 to 3,500+ brands without slowing down.

120+Automations deployed across marketplaces to replace manual daily tasks.
20%Average improvement in operational efficiency after full data unification.
80+Custom rules, bidding strategies, and optimization workflows running in real time.
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Stack

Amazon Ads APIAmazon Marketing CloudETL pipelinesData warehouseBI dashboardsAutomation engineDayparting
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