Compare Analytics

Identity Resolution

Compare all software platforms supporting this capability.

10 tools supported

Updated:

HubSpot Marketing Hub is a comprehensive tool designed to elevate your marketing strategies with advanced analytics and seamless integrations.

Its sophisticated identity resolution engine automatically merges disparate contact activity into a single, unified HubSpot CRM profile.

Identity resolution is a core strength of this platform, functioning through a robust 'Contact' and 'Company' object model. Whenever a user interacts with content, clicks a link, or fills out a form, the platform attempts to match that interaction to an existing record. If it identifies the user through an email click or form submission, it stitches all previously anonymous web sessions together with their known profile. This provides a deep, longitudinal history of a customer’s engagement, enabling incredibly targeted, behavior-based marketing that is impossible in platforms lacking a native CRM foundation.

Klaviyo

Supported

Klaviyo offers a powerful, user-friendly platform designed to revolutionize how businesses engage with their audiences through precision-targeted email and SMS marketing, all starting at no cost.

The platform uses a powerful, contact-centric data model to resolve identity, ensuring every interaction is tied to a single unified customer profile.

Identity resolution is a key strength, especially for e-commerce, where it effectively links anonymous browsing behavior to specific customer records. As soon as a user clicks a Klaviyo email or fills out a form, the platform resolves their identity and stitches all previous anonymous site history into their master contact record. This persistent, contact-centric profile is the backbone for the platform's powerful personalization, allowing businesses to tailor every email and site interaction to the user's past behaviors and purchase history.

ActiveCampaign is a powerhouse in the email marketing and automation space, offering a comprehensive suite of tools to streamline customer engagement and drive conversions.

Identity resolution uses a robust, contact-focused model to resolve user identity across multiple sessions, devices, and communication channels.

Identity resolution is built around a centralized Contact record. As a user engages via email, website visits, or form submissions, all these interactions are automatically merged into one persistent contact record. When a user clicks a link in an email, the system instantly identifies them, stitching all previous web behavior to their profile. This creates an incredibly detailed, unified history of every touchpoint, which is essential for the platform's advanced personalization features. This identity-centric design allows marketers to trigger responses based on total user history, rather than isolated sessions.

Google Analytics 4 is a robust analytics platform that offers real-time insights and advanced features to track user behavior across websites and apps.

The platform uses a blended approach, prioritizing user-provided IDs, then vendor signals, and finally device IDs to deduplicate users across devices.

To solve the challenge of cross-device tracking, the platform utilizes a sophisticated, tiered identity resolution system called reporting identity. By default, it attempts to identify a user first by a deterministic User-ID (if provided by the business upon login), then falls back to Google Signals (data from users logged into Google accounts who have enabled ad personalization), and finally relies on standard device or cookie IDs. This blended approach significantly improves the accuracy of user counts and journey mapping when individuals switch from mobile to desktop. However, the reliance on external vendor signals introduces modeling opacity, and privacy-conscious organizations may choose to disable these signals, reverting the system to a purely device-based or deterministic model.

Adobe Analytics is a robust analytics solution designed for enterprises seeking deep insights into customer behavior and marketing effectiveness.

The platform uses its robust Customer Data Platform (CDP) and identity graphing capabilities to stitch complex cross-device user profiles together.

Identity resolution in Adobe Analytics is handled primarily through the Experience Cloud Identity Service (ECID), which assigns a consistent identifier to visitors across supported Adobe solutions and can connect activity across sessions and devices when a known customer ID is implemented. Adobe Analytics itself does not provide a complete customer identity graph or automatically unify online and offline records. More advanced profile stitching across CRM, call-center, and other data sources requires Adobe Experience Platform or Real-Time CDP. This makes the capability suitable for organizations already using the broader Adobe ecosystem, but considerably less self-contained than identity resolution in a dedicated CDP. Implementation quality also depends heavily on a well-designed identity strategy and consistent authenticated identifiers.

Matomo

Supported

Matomo is a privacy-focused analytics platform offering a comprehensive suite of tools for tracking, analyzing, and optimizing user interactions.

The identity framework relies heavily on deterministic User IDs set upon login to track users across devices, avoiding the use of opaque third-party data graphs.

To track individual users across different browsers and devices, the platform relies primarily on a deterministic User ID feature. When a user authenticates (logs into a website or app), developers can pass a unique, hashed identifier to the analytics tracking code. The system will then retroactively stitch the pre-login anonymous behavior with the post-login authenticated behavior into a single, unified profile. True to its privacy-first ethos, it does not attempt to supplement this data with opaque, third-party identity graphs or cross-site tracking mechanisms used by advertising-driven platforms. Consequently, if a user browses completely anonymously across multiple devices without ever logging in, the platform will treat them as entirely separate visitors.

Amplitude

Supported

Amplitude is a powerful analytics tool designed for businesses looking to harness data insights to optimize user experiences and drive growth.

The platform uses a sophisticated ID resolution framework, automatically merging anonymous device IDs with authenticated User IDs into a single profile.

Accurate identity resolution is critical for product analytics, and this platform handles it through a robust, deterministic system. When a user first opens an app or website anonymously, they are assigned a unique Device ID. The moment that user creates an account or logs in, developers pass a distinct User ID to the platform. The system then automatically and retroactively stitches all the previous anonymous actions to the authenticated profile, creating a seamless, cross-device historical record. It intelligently handles complex edge cases, such as multiple users sharing a single device, ensuring that product metrics like "Unique Users" are exceptionally accurate compared to simple cookie-based web trackers.

Mixpanel

Supported

Mixpanel is a powerful analytics platform offering detailed insights into user behavior and engagement, enabling businesses to optimize their digital strategies effectively.

The platform employs a robust identity management system that seamlessly merges anonymous device history with authenticated user profiles.

Accurate cross-device tracking is handled natively through a sophisticated ID merging system. When a user interacts with a digital property anonymously, they are assigned a unique distinct_id. Once the user authenticates (logs in or registers), the developer triggers an identify call with the user's permanent backend ID. The platform automatically and retroactively stitches the anonymous pre-login history together with the authenticated profile. This ensures that user journeys remain intact even as individuals switch from an anonymous mobile browser to a logged-in desktop application, guaranteeing highly accurate unique user counts and seamless long-term behavioral tracking.

PostHog

Supported

PostHog is a powerful, self-hosted analytics platform designed to provide deep insights into user behavior with a highly customizable and privacy-focused approach.

The platform handles cross-device tracking by allowing developers to explicitly map anonymous session IDs to authenticated internal user IDs.

Identity resolution is managed through a deliberate, developer-controlled merging process using the identify and alias API calls. When a user browses anonymously, they are assigned a distinct ID. Once they authenticate (log in), developers trigger an identify call with the user's permanent backend database ID. The system then automatically stitches the pre-login anonymous behavior with the authenticated profile, maintaining a continuous historical journey across different devices and browsers. This ensures highly accurate tracking for SaaS and subscription businesses. However, this deterministic approach relies entirely on users actually logging in; it does not attempt to guess identity using opaque third-party data graphs.

Customer.io

Supported

Customer.io is a powerful marketing automation platform designed to enhance customer engagement through personalized communication and robust data handling.

Its robust identity engine allows businesses to unify customer data across any number of web and mobile touchpoints, building a single, persistent user profile.

Identity resolution is a key strength of the platform, built to handle complex customer journeys. As users move across web, mobile apps, and other sources, the system resolves their distinct identities into one persistent "profile." By mapping these various IDs to a single master record, the platform maintains a continuous history of customer interactions. This is essential for providing a personalized, omnichannel experience, as it ensures that the business can treat every individual user as a coherent, recognized entity regardless of how they choose to interact with the service.