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mParticle by Rokt

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  1. Media and communications
  2. Arts, entertainment, and recreation
  3. Accommodation and food services

What is mParticle by Rokt

mParticle by Rokt is a customer data platform that collects, standardizes, and routes customer event data from web, mobile, and server sources to analytics, marketing, and data warehouse destinations. It is used by product, marketing, and data teams to manage event instrumentation, identity resolution, and downstream integrations. The platform emphasizes real-time data pipelines, governance controls, and a broad catalog of prebuilt connectors to reduce custom integration work.

pros

Broad integration and routing

mParticle provides a large set of prebuilt connectors to common analytics, attribution, messaging, and warehouse destinations, reducing the need for custom ETL for many use cases. It supports event forwarding and audience/segment activation patterns that help teams operationalize data across tools. This is particularly useful for organizations running multiple analytics and experimentation stacks and needing consistent event delivery.

Strong mobile and app focus

The product includes mobile SDKs and tooling designed for high-volume app event collection and governance. It supports common mobile identity and attribution-related data flows and helps teams manage consistent event schemas across iOS, Android, and other clients. This makes it a practical fit for app-centric businesses that need reliable, near-real-time behavioral data.

Data governance and controls

mParticle includes features for data quality and governance such as schema management, event validation, and controls over what data is forwarded to which destinations. These controls help reduce downstream inconsistencies and limit accidental propagation of sensitive fields. For privacy programs, it can support workflows that align with consent and data handling policies when distributing customer data.

cons

Not a full analytics suite

While mParticle can send data to analytics and journey tools, it is primarily a data collection and activation layer rather than a complete product analytics or session replay solution. Teams often still need separate tools for deep funnel analysis, qualitative replay, and experimentation analytics. This can increase total cost and operational complexity compared with more all-in-one approaches.

Implementation requires discipline

Value depends heavily on correct event design, identity strategy, and ongoing schema governance. Organizations without mature tracking plans may experience inconsistent data or duplicated events across sources. Initial setup and ongoing maintenance typically require coordination between engineering, analytics, and marketing operations.

DSAR needs broader stack

DSAR and privacy operations usually require coordination across data stores and downstream processors, not only the CDP layer. mParticle can participate in privacy workflows, but many organizations still need dedicated privacy tooling and processes to discover, retrieve, and delete data across warehouses, SaaS destinations, and internal systems. This can limit its suitability as a standalone DSAR system of record.

Plan & Pricing

Pricing model: Value-based / Credit-based (prepaid credits, "mParticle Credits"; also referred to as Value-Based Pricing, VBP) Free tier/trial: 30-day free trial available for the Analytics product (see notes).

How it works (official): Customers purchase mParticle Credits via an upfront contractual commitment; usage across billable items (events, real-time audiences, Cortex, storage, etc.) is metered each billing period and drawn down from pre-paid credits. Unit prices (per billing item) are specified in the customer contract; larger credit commitments unlock volume discounts. Invoices and detailed credit-usage reports are provided to customers each billing period.

Billable items (official list / summary):

  • Tiered Events (counted in units of 1 million events; three tiers: Connect, Preserve, Personalize)
  • Real-time products (Real-time Audiences and Calculated Attributes; metered per workspace and personalizaion event volumes)
  • Real-time invocations (for some customers)
  • mParticle-hosted rule invocations (Lambda invocation counts)
  • Backfill and Data Replay (event units retrieved from storage)
  • Profile API (provisioned in bands; not purely usage-metered)
  • Cortex Intelligent Attributes (metered by active IAs and events forwarded to Cortex)
  • Indicative (mParticle’s Analytics product) usage (metered by events used by Indicative)

Public list prices / visibility: mParticle does not publish a single public price table in USD on its documentation site. Unit prices are defined in customer contracts and are not listed as public fixed USD tiers. The product documentation includes an illustrative example of unit prices denominated in mParticle Credits (mPCs) for demonstration only (not published list prices):

  • Example (illustrative only, from official docs): 60 mPCs per 1M Preserve-tier events; 74 mPCs per 1M Personalize-tier events; 5 mPCs per additional 6 months of long-term storage.

Purchase & billing cadence (official):

  • Customers make an upfront contractual credit commitment and may purchase additional credits at any time.
  • Growth/legacy plans may have annual billing; Enterprise contracts are typically billed monthly (per product docs/FAQ for Analytics-related products).

Availability of published prices: Not published; pricing is provided via sales/contract (contact provider).

Notes: The mParticle docs include a dedicated guide for Value-Based Pricing, a Usage & Billing report explanation, and a 30‑day free trial flow for the Analytics product (Analytics trial starts when a workspace is configured). All of the details above are taken from mParticle’s official documentation (docs.mparticle.com).

Seller details

Rokt
New York, NY, USA
2012
Private
https://www.rokt.com/
https://x.com/rokt
https://www.linkedin.com/company/rokt/

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