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Brief
Lytics

Lytics

Customer Data Platform (CDP)lytics.com

Lytics enables enterprises to unify first-party customer data and activate AI-driven audience segments without moving data out of their existing cloud infrastructure, accelerating personalization while maintaining data control and privacy compliance.

Last updated Aug 20, 2026 by ATDb automated enrichment · Connections updated Aug 24, 2026

Founded
2012
HQ
Portland, Oregon, United States
Connections
29

At a glance

Employees
51-200
Funding
$110M
Revenue
$10M-$50M
Stock
N/A
20integrations9competitors

About

Mid-tier composable CDP with strong ML and behavioral analytics capabilities, differentiated by cloud data warehouse integration and Google Cloud partnership

Lytics is a Portland, Oregon-based customer data platform founded in 2012 that enables brands to collect, unify, and activate first-party customer data across marketing and advertising channels. The platform leverages machine learning and behavioral data science to build predictive audience segments, enabling marketers to deliver highly personalized experiences across web, email, paid media, and other touchpoints. Lytics differentiates itself through its 'composable CDP' architecture, which allows enterprises to deploy the platform on top of their existing cloud data warehouses such as Google BigQuery, Snowflake, and others, rather than requiring data to be moved into a proprietary data store. In the AdTech and MarTech ecosystem, Lytics occupies a position as a mid-market to enterprise CDP with a strong emphasis on data science, behavioral modeling, and privacy-first data activation. The company has built deep integrations with major marketing clouds, advertising platforms, and data infrastructure providers, making it a flexible hub for customer intelligence. Its Google Cloud partnership is particularly notable, with Lytics being deeply integrated into Google's marketing and data stack. Lytics has raised significant venture funding and serves customers across retail, media, financial services, and technology verticals. The company competes with other CDPs such as Segment, mParticle, Tealium, and Treasure Data, but positions itself on the strength of its machine learning capabilities, composable architecture, and ease of integration with modern cloud data infrastructure. Its focus on first-party data activation is increasingly relevant as third-party cookies are deprecated and privacy regulations tighten globally.

Business model

SaaS

Target market

Mid-Market and Enterprise

What they offer

  • Lytics CDP

    Core customer data platform for collecting, unifying, and activating first-party customer data across channels

  • Conductor

    Composable CDP layer that sits on top of existing cloud data warehouses like BigQuery and Snowflake, enabling data activation without data movement

  • Audience Builder

    Visual tool for creating and managing behavioral and predictive audience segments using machine learning

  • Content Affinity Engine

    ML-powered engine that analyzes content consumption patterns to predict user interests and personalize content recommendations

  • Lytics Personalization

    Web and app personalization capabilities that deliver tailored experiences based on real-time behavioral data

  • Data Collection & Unification

    Tag management and identity resolution tools for ingesting and stitching customer data from multiple sources into unified profiles

  • Audience Activation

    Integrations and workflows to push audience segments to advertising platforms, email tools, and other marketing channels

Key features

Composable CDP architecture on cloud data warehousesBehavioral machine learning and predictive scoringReal-time audience segmentationContent affinity and interest modelingIdentity resolution and profile unificationFirst-party data activation across channelsPrivacy-first data managementGoogle Cloud native integrationPre-built integrations with 100+ marketing tools

Use cases

First-party audience building for paid media targetingWebsite and app personalizationEmail segmentation and lifecycle marketingCustomer churn prediction and retentionContent recommendation and personalization for media companiesLookalike audience creation for advertisingCustomer journey analytics and attributionSuppression audiences to reduce ad waste

Customer segments

Retail and eCommerceMedia and PublishingFinancial ServicesTechnology companiesTravel and HospitalityHealthcare

Tech & specs

Technology stack

Google Cloud PlatformBigQuerySnowflakeApache KafkaMachine learning / behavioral modelingJavaScript SDKREST APIsWebhook integrations

Security & compliance

SOC 2 Type IIGDPRCCPAPrivacy Shield

Deployment

CloudHybrid

API

Yes

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