Segment

The leading customer data platform, powered by AI

Attribution & BI
★★★★★ 4.5
2012 Founded
501-1000 Employees
25,000+ Customers
San Francisco, CA, USA Headquarters

Quick Facts

✓ Free Trial
Website
segment.com →
Starting Price
120
Pricing Model
usage-based
Free Trial
14 days
Company Type
acquired

About Segment

Twilio Segment (often referred to simply as Segment) is a leading customer data platform that helps companies collect, clean, and unify first-party customer data from web, mobile, server, and cloud sources. With a single API and over 700 pre-built integrations, Segment routes high-quality behavioral and profile data into analytics, marketing, advertising, product, and data warehouse tools, becoming the central data foundation for modern growth and customer experience teams.

Founded in 2012 and incubated out of Y Combinator, Segment quickly became a core piece of infrastructure for digital-first businesses that needed to standardize event tracking and avoid building and maintaining dozens of custom point-to-point integrations. The company raised over $283M in venture funding and grew its customer base into the tens of thousands, including brands like Intuit, FOX, IBM, Levi’s, and MongoDB. In 2020, Segment was acquired by Twilio for approximately $3.2B and now operates as Twilio’s CDP business unit, tightly integrated with Twilio’s messaging, email, and customer engagement products.

The Segment product portfolio centers on several key modules: Connections (the customer data pipeline), Protocols (governance and data quality), Unify (real-time identity resolution and profiles), and Engage (audience building and journey orchestration), plus warehouse-centric capabilities like Reverse ETL and Profiles Sync. Together, these enable companies to build “golden” customer profiles, power advanced audience segmentation, orchestrate multichannel journeys, and feed AI/ML models with clean, identity-resolved data. Segment’s open, vendor-agnostic architecture is designed to work with any data warehouse and a broad ecosystem of SaaS tools, which differentiates it from closed marketing clouds.

In the CDP market, Twilio Segment is consistently positioned as a leader, with IDC citing it as the #1 CDP by market share in recent years. The platform is used by over 25,000 companies and handles trillions of API calls annually, serving both high-growth startups and large global enterprises. Its strengths lie in its integration breadth, developer-friendly APIs, and strong governance and security posture (including SOC 2, ISO 27001, GDPR, and HIPAA eligibility). At the same time, reviewers note that Segment’s powerful capabilities come with a learning curve and a pricing model that can be expensive at very high volumes, especially for data-heavy, consumer-scale businesses.

Key Features

Customer data pipeline (Connections) - Collects event data from web, mobile, server, and cloud sources via a single API and sends it to hundreds of downstream tools.

Real-time event streaming - Processes customer events in real time so analytics, personalization, and messaging tools can react instantly to user behavior.

Identity resolution & unified profiles (Unify) - Merges identifiers across devices, channels, and systems into real-time, identity-resolved customer profiles.

Profiles Sync & warehouse interoperability - Continuously syncs unified profiles to data warehouses like Snowflake, Redshift, BigQuery, and Databricks for advanced BI and modeling.

Reverse ETL - Moves enriched data and model outputs from the warehouse back into SaaS tools (CRMs, marketing automation, ads platforms) without custom pipelines.

Audience segmentation & activation (Engage Audiences) - Builds dynamic audiences using behavioral, trait, and predictive data and syncs them to marketing, ads, and engagement tools.

Journey orchestration (Journeys / Engage) - Orchestrates multi-step, multi-channel customer journeys triggered by real-time behavior and profile changes.

Data governance & schema management (Protocols) - Enforces event schemas, validates payloads, and standardizes naming to maintain clean, trustworthy data.

Privacy & security controls (Privacy Portal) - Classifies, masks, and optionally encrypts sensitive fields; integrates with consent management platforms to honor user preferences.

AI & predictive capabilities (CustomerAI) - Generates AI-powered traits (e.g., likelihood to convert or churn) and supports generative AI workflows for building audiences and campaigns.

Extensive integration catalog - Offers 700+ pre-built sources and destinations across analytics, advertising, marketing automation, CRM, data warehousing, and more.

Developer toolkit & Functions - Provides SDKs, APIs, and Functions for custom sources/destinations and transformation logic, allowing teams to tailor pipelines.

Multi-region data residency (Regional Segment) - Supports US and EU regional infrastructure to help customers meet data residency and GDPR requirements.

Enterprise-grade security & reliability - Delivers high availability, encryption in transit and at rest, and maintains certifications like SOC 2 and ISO 27001.

B2B and B2C support - Handles both user-level and account-level data models, supporting SaaS, ecommerce, marketplaces, and other B2B/B2C use cases.

Pros & Cons

👍 Pros

  • Excellent integration ecosystem - hundreds of pre-built sources and destinations make it easy to connect analytics, marketing, ads, and data warehouse tools.
  • Centralizes and standardizes customer data, creating a single source of truth that significantly reduces custom engineering work.
  • Real-time data collection and activation enables timely personalization and campaign triggers across channels.
  • Strong developer experience with good documentation, SDKs, and APIs that simplify implementation for engineering teams.
  • Flexible architecture that supports warehouse-centric workflows (Reverse ETL, Profiles Sync) and scales to very high event volumes.

👎 Cons

  • Pricing can become expensive at high MTU or visitor volumes, especially for products with many anonymous users.
  • Initial implementation, event design, and identity resolution setup can be complex and require careful planning.
  • Some reviewers report variability in customer support responsiveness and a desire for more proactive guidance.
  • User interface and configuration options can feel overwhelming for non-technical users or smaller teams.
  • Certain niche integrations or advanced use cases may still require custom work or use of developer Functions.

User Reviews

G2
4.5
★★★★★
Capterra
4.7
★★★★★
TrustRadius
8.4
★★★★★

Integrations

Salesforce HubSpot Marketo Amplitude Analytics Mixpanel Google Analytics 4 Google Ads Facebook Ads / Meta Ads LinkedIn Ads Amazon Ads Braze Klaviyo Customer.io Iterable Intercom Zendesk Shopify Snowflake Amazon Redshift Google BigQuery Databricks

Best For

Company Size

smb mid-market enterprise

Industries

SaaS E-commerce & Retail Financial Services Media & Entertainment Healthcare Marketplaces

Use Cases

Centralized customer data collection and event tracking Marketing and revenue attribution for digital campaigns Customer analytics and business intelligence reporting Audience segmentation and personalized lifecycle marketing Product analytics and experimentation Feeding clean data into AI/ML models and reverse ETL workflows

FAQ

What is Segment?

+

Segment (Twilio Segment) is a customer data platform (CDP) that collects, standardizes, and unifies first-party customer data from websites, mobile apps, servers, and cloud tools. It provides a single API for event collection and connects that data to hundreds of downstream destinations such as analytics tools, CRMs, marketing automation platforms, ad networks, and data warehouses. Using modules like Connections, Protocols, Unify, Reverse ETL, and Engage, Segment helps teams create identity-resolved customer profiles, build audiences, orchestrate journeys, and power AI/ML use cases on top of consistent, high-quality data.

How much does Segment cost?

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Segment offers a Free Connections plan at $0/month that includes up to 1,000 visitors per month, a limited number of sources and one data warehouse destination. The paid Connections Team plan starts at approximately $120/month and includes 10,000 visitors per month, with additional volume billed per 1,000 visitors. Business and full CDP bundles (Connections + Unify + Engage) are sold on custom, usage-based contracts and require contacting sales. Pricing can vary significantly based on your monthly traffic, warehouse usage, and add-ons like Unify and Engage.

What are the main features of Segment?

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Core Segment features include a customer data pipeline (Connections) for real-time event collection and delivery, extensive pre-built integrations, identity resolution and unified profiles (Unify), governance and schema enforcement (Protocols), Reverse ETL and Profiles Sync for warehouse-centric workflows, and audience/journey orchestration capabilities via Engage. Additional capabilities span AI-powered traits and recommendations, privacy and consent controls, data classification and encryption, and enterprise security and reliability features.

Who are Segment's main competitors?

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Segment's main competitors in the customer data platform and data activation space include mParticle, Tealium Customer Data Hub, Hightouch, RudderStack, and larger marketing cloud CDPs such as Salesforce Data Cloud or Adobe Real-Time CDP. Buyers often compare Segment to these alternatives on integration breadth, warehouse interoperability, governance, ease of implementation, and overall cost at scale.

Is Segment good for small businesses?

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Segment can be a strong fit for small and mid-sized digital businesses that already rely on multiple tools and want a scalable data foundation from the start, especially if they have access to engineering or analytics resources. The free and lower-tier plans make it accessible for startups with modest traffic. However, very small businesses with limited technical capacity or simpler needs may find Segment's flexibility and implementation overhead more than they require and may prefer lighter-weight analytics or email/CRM tools until their data complexity grows.

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