Anrok is a customer identity and data activation platform that helps teams collect, unify, and activate first-party data across channels while enforcing privacy rules. It centralizes event and profile data from web, mobile, server, CRM, and offline sources, applies deterministic and probabilistic identity resolution, and maintains an identity graph that maps identifiers (email, device IDs, CRM IDs) to persistent profiles.
The platform is designed for marketing, analytics, and product teams that need accurate audience definitions and reliable exports to ad platforms, email providers, and analytics tools. Anrok stores event streams and profile attributes in a way that supports both real-time segmentation and historical analysis, so teams can evaluate audience performance, retention, and conversion metrics.
Anrok includes governance controls for consent and data residency, enabling compliance with GDPR, CCPA, and other regional privacy laws. Administrators can configure data retention policies, consent sources, and attribute-level processing rules to ensure that data usage aligns with legal and internal requirements.
Operationally, Anrok is available as a managed SaaS offering with optional enterprise deployment and onboarding services. It includes a web console for audience building and reporting, SDKs for client-side and server-side data collection, and an API layer for automated data exchange and activation.
Anrok ingests events and customer attributes from multiple sources and converges them into a unified identity graph, then exposes that graph for activation and analysis. It provides connectors for common data sources, SDKs for web and mobile, and a robust API for server-side integrations. The identity graph supports merge rules, deterministic joins, and privacy-safe hashing.
Audience management tools let users create, preview, and export audiences based on behavioral, demographic, and lifecycle criteria. Audiences can be built using real-time event filters (for example, "visited pricing page in last 7 days"), profile attributes ("lifetime_value > X"), and predictive model outputs, then activated to downstream destinations.
Key features include event collection and streaming, identity resolution, consent management, audience builder, scheduled and real-time exports, data masking and encryption, and a monitoring dashboard for data flow and delivery health. Reporting includes audience size estimates, overlap analysis, and delivery/status logs for each connector.
Anrok also includes role-based access controls, audit logs, and workspace management so organizations can separate projects, teams, and environments. Workspace-level settings cover retention periods, allowed destinations, and compliance defaults.
Anrok offers these pricing plans:
The Starter and Professional plans include progressively higher monthly event allowances, more concurrent audience exports, and access to scheduled syncs. The Free Plan: $0/month is intended for evaluation and smaller projects but limits the number of destinations and the retention window for stored events.
Add-ons commonly available include managed onboarding, extra event capacity, premium connectors for walled-garden ad platforms, and dedicated feature work. Enterprise contracts often include custom SLAs, on-premise connectors or private cloud deployments, and professional services for implementation.
Check Anrok's current pricing plans for the latest rates and enterprise options.
Anrok starts at $0/month when using the Free Plan. For production usage, the typical entry-level paid plan is Starter: $99/month billed monthly, with discounted annual billing available at $1,068/year for the Starter plan.
Monthly costs scale with event volume, number of destinations, and feature add-ons such as advanced identity resolution or premium connectors. Teams running larger workloads will typically choose Professional: $499/month or negotiate an Enterprise contract.
Pricing models can include per-event fees, per-profile fees, or a blended milestone-based contract for large customers. Be sure to check the billing terms for overage charges and how event aggregation (batch vs. streaming) affects metering.
Anrok costs $1,068/year for the Starter plan when billed annually at the $89/month equivalent rate. The Professional plan is typically $5,388/year when billed annually at the $449/month equivalent.
Enterprise customers sign annual contracts that reflect negotiated usage tiers, implementation fees, and optional managed services. Annual billing usually includes a commitment to minimum event volumes to secure discounted rates.
If you plan to scale, request a TCO estimate that includes projected event growth, additional connectors, and any professional services required for deployment and data migration.
Anrok pricing ranges from $0 (free) to several thousand dollars per year for Professional tiers, with Enterprise custom pricing. Small teams and proof-of-concept projects can use the Free Plan: $0/month or the Starter: $99/month tier, while mid-market and larger teams typically operate on Professional or Enterprise plans with costs that scale by volume and features.
In practice, expect total annual costs to include base subscription fees, overage charges for events beyond included quotas, and optional professional services. For accurate budgeting, plan around expected monthly event counts, number of downstream destinations, and required retention windows.
Organizations seeking predictable operations often negotiate annual usage bands and committed event volumes as part of Enterprise agreements to avoid variable overage costs.
Anrok is used to centralize customer data and create activation-ready audiences for campaigns, personalization, and analytics. Marketing teams use it to build target audiences and deliver them to ad platforms and email providers; analytics teams use the event store to measure funnel performance and retention; product teams use behavioral profiles to power in-app personalization.
Typical use cases include cross-device identity stitching for ad targeting, suppression lists for privacy-compliant marketing, lookalike seed exports to advertising platforms, churn prediction integration with CRM, and offline-to-online stitching for retail attribution. The unified identity graph makes it possible to treat the same user across multiple touchpoints without duplicating logic in each integration.
Anrok is also used for consent-aware data processing, where consent status is stored as a first-class attribute and drives downstream routing. For companies operating in regulated markets, Anrok’s processing rules prevent exporting PII to destinations that cannot legally receive it.
Operational benefits include faster audience creation cycles (from days to minutes), centralized monitoring of delivery health, and reduced engineering overhead because common connectors are managed by the platform rather than built in-house.
Pros:
Cons:
Operational considerations include ensuring clean source identifiers, designing retention policies that match business and legal needs, and evaluating downstream acceptability of hashed versus plaintext attributes.
Anrok typically offers a hands-on evaluation via the Free Plan: $0/month and time-limited trials of paid features. Trial accounts provide limited event quotas and access to the audience builder, allowing teams to test integration flows, identity resolution behavior, and delivery to a subset of destinations.
During a trial, teams should validate core flows: SDK ingestion, server-side ingestion, identity merges, audience membership calculations, and delivery confirmations in target systems. Testing should include consent toggles to confirm that suppression and data masking behave as expected.
Trials often include access to documentation and community resources; larger proof-of-concept engagements may be supported by anrok professional services or a technical account manager to validate scale and clarify configuration options.
Yes, Anrok offers a Free Plan that lets teams evaluate core features with constrained event volumes and a single workspace. The free tier is suitable for proof-of-concept work and early-stage projects but restricts the number of destinations, retention window, and available connectors.
For production workloads, teams typically move to paid plans to gain higher quotas, enhanced connectors, and support options.
Anrok provides a RESTful API and streaming endpoints for event ingestion, profile lookups, audience definitions, and export management. The API supports JSON payloads, batch ingestion endpoints for high-throughput server events, and SDKs for client-side collection.
Authentication uses API keys for server-side integrations and OAuth 2.0 for partner or delegated access. Rate limits are applied per API key and vary by plan; Enterprise customers can request higher throughput or dedicated ingestion endpoints as part of their contract.
Key API capabilities include:
Refer to Anrok's developer documentation for endpoint-level details, example payloads, and SDK downloads at the Anrok developer documentation page: https://www.anrok.com/docs.
These paid tools differ on their focus areas (routing and transformation, mobile SDK quality, governance, analytics depth) and on how they meter usage (events vs. profiles vs. seats).
Open source options often require more engineering effort to deploy and operate but provide flexibility over data residency and customization.
Anrok is used for customer identity and data activation. It consolidates event and profile data into a unified identity graph, enables audience building based on behavioral and profile criteria, and exports audiences to ad networks, email platforms, and analytics tools. Teams use it for targeted campaigns, suppression lists, and analytics-ready event stores.
Yes, Anrok supports real-time audience exports via streaming connectors and webhooks in addition to scheduled batch exports. Real-time exports are suited for low-latency personalization and ad targeting, while scheduled exports support larger batch delivery windows.
Anrok includes consent management and configurable data governance. Consent flags can be captured at ingestion and applied as routing rules so that data is stored or exported only when allowed. The platform supports attribute-level masking, retention policies, and regional data residency controls.
Anrok's API uses API keys and OAuth 2.0. API keys are typical for server-to-server ingestion and administrative tasks; OAuth 2.0 is available for delegated access and partner integrations. Enterprise customers can request SSO and more advanced access controls.
Yes, you can import historical data into Anrok. The platform supports batch ingestion endpoints and S3-style bulk uploads for backfilling events and profiles. For large migrations, Anrok offers migration tooling and professional services to validate mappings and deduplicate records.
Yes, Anrok offers connectors to major advertising platforms. Prebuilt integrations cover Google Ads, Meta Ads, and other walled-garden platforms, with hashed audience exports and required consent checks applied during delivery.
Anrok is designed to scale to high event volumes. The managed service supports streaming ingestion pipelines, partitioned storage, and parallel export workers; Enterprise plans include higher rate limits and dedicated ingestion paths for very large workloads.
Yes, Anrok can be used as a source for attribution and analytics workflows. The platform retains event histories and can forward raw or aggregated events to analytics platforms, data warehouses, or BI tools so attribution models can run against consistent data.
Yes, Anrok provides sandbox environments for development and testing. Sandboxes allow teams to validate SDK implementations, test audience rules, and run end-to-end delivery checks without affecting production data.
Anrok provides tiered support options from community and documentation to enterprise SLAs. Paid plans include faster response times and technical onboarding, while Enterprise customers receive dedicated account management, architecture review, and custom SLAs.
Anrok maintains hiring for engineering, product, data science, and customer success roles to support platform development and customer implementations. The engineering team focuses on scalable data pipelines, identity resolution algorithms, and SDK quality to support diverse client environments.
Open roles typically include backend engineers experienced in stream processing, frontend engineers for dashboard experiences, data engineers for ingestion and modeling, and integrations engineers for connector development. Customer-facing roles include solutions architects and technical account managers who guide onboarding and scale implementations.
Candidates should expect technical interviews that cover distributed systems, data modeling for identity resolution, and real-world integration scenarios. Check Anrok's careers page for current openings and details about benefits and remote work policies.
Anrok operates an affiliate and partner program for agencies, system integrators, and technology partners that build integrations or refer customers. Partners receive referral fees, co-marketing support, technical enablement, and access to partner-only documentation and sandbox environments.
The partner program includes tiers for resellers and implementation partners. Reseller partners can negotiate revenue share for referrals, while implementation partners gain technical certifications and prioritized product roadmaps for integration needs.
Prospective affiliates should review partner terms and integration requirements; Anrok typically provides a technical onboarding kit and example integration code to accelerate partner work.
Independent reviews and user feedback about Anrok can be found on software comparison sites and industry forums that cover customer data platforms and marketing technology. Look for platform evaluations that discuss identity stitching accuracy, connector coverage, and delivery reliability.
For product-specific details and customer case studies, consult Anrok's website where they publish customer stories and implementation notes. For technical insights and community feedback, developer forums and engineering blogs often discuss integration patterns and performance benchmarks.
When evaluating reviews, prioritize sources that discuss scale, privacy controls, and connector reliability, as these are frequent decision factors for teams choosing a data activation platform.