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Brief
Sellozo was acquired by Acadia (2021).
Sellozo

Sellozo

Retail Mediasellozo.com

Sellozo automated Amazon PPC campaign management and bid optimization using AI, enabling sellers to improve ad performance and reduce wasted spend without requiring deep advertising expertise.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2017
HQ
Kansas City, Missouri, United States
Parent
Connections
3

At a glance

Employees
11-50
Funding
$10M
Revenue
$1M-$10M
2integrations1corporate family

About

A niche Amazon PPC automation tool serving small-to-mid-sized sellers and agencies, competing in the growing Amazon advertising management software segment.

Sellozo was a software-as-a-service platform purpose-built for Amazon sellers and agencies seeking to automate and optimize their Amazon Advertising campaigns. The platform leveraged machine learning and AI to handle bid adjustments, keyword harvesting, campaign structuring, and performance reporting — tasks that would otherwise require significant manual effort from sellers managing sponsored product, sponsored brand, and sponsored display ads on Amazon. Sellozo served a broad range of Amazon merchants, from individual third-party sellers to larger agencies managing multiple client accounts. Its toolset included automated campaign management, a dayparting feature for time-based bid scheduling, and a customizable reporting dashboard that gave users visibility into ad spend efficiency and return on ad spend (ROAS). The platform was particularly valued for reducing the complexity of Amazon PPC management and making sophisticated optimization accessible to sellers without deep advertising expertise. Sellozo operated in a competitive market alongside tools like Perpetua, Teikametrics, and Pacvue. The company was acquired, marking a consolidation trend in the Amazon advertising technology space as larger players sought to expand their capabilities and customer bases by absorbing specialized point solutions. Following the acquisition, Sellozo's distinct brand and independent operations were wound down as its technology and customer relationships were absorbed into the acquiring entity.

Business model

SaaS

Target market

SMB

What they offer

  • Campaign Studio

    Visual campaign builder and manager for structuring Amazon Sponsored Ads campaigns with automated optimization rules.

  • Automated Bid Management

    AI-driven bid adjustments based on performance data to maximize ROAS and minimize wasted ad spend.

  • Keyword Harvesting

    Automated identification and migration of high-performing search terms from auto campaigns into manual campaigns.

  • Dayparting

    Time-based bid scheduling that allowed sellers to increase or decrease bids during specific hours or days of the week.

  • Reporting Dashboard

    Customizable analytics and reporting interface providing visibility into campaign performance, ad spend, and profitability metrics.

  • Agency Dashboard

    Multi-account management interface designed for advertising agencies managing Amazon PPC for multiple clients.

Key features

AI-powered automated bid optimizationKeyword harvesting from auto to manual campaignsDayparting and time-based bid schedulingMulti-account agency managementCustomizable performance reportingCampaign structure automation

Use cases

Automating Amazon Sponsored Products bid management for individual sellersManaging multiple Amazon advertiser accounts for agenciesReducing wasted ad spend through automated negative keyword managementScaling Amazon PPC campaigns without proportional increases in manual effortImproving ROAS through data-driven bid adjustments

Customer segments

Amazon third-party sellers (SMB)Amazon advertising agenciesPrivate label brand ownersAmazon wholesale sellers

Tech & specs

Technology stack

Machine learning / AI for bid optimizationCloud-based SaaS infrastructureAmazon Advertising API integration

Deployment

Cloud

API

Limited

Corporate history
  1. 2017 · Founded
  2. 2021Acquired by Netrush
    Still operating as part of Netrush
Connection details

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