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Maven AI 2.0 Review

Maven AI 2.0 is an AI marketing attribution tool that connects marketing, product, and CRM data to deliver accurate revenue attribution.

shipped Oct 1, 2026codepaid
Domain rating71Monthly visits3.1K/mo
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Maven AI 2.0 — product screenshot

Why it matters

1Offers a free Basic tier for $0/month.
2Provides multi-touch attribution and AI-powered insights.
3Includes an API for integration with other platforms.
4Data retention for Scale plan is 2555 days (7 years).

About Maven AI 2.0

Business Model
Subscription SaaS
Usage Pricing
$10/conversion per conversion
Headquarters
Austin, USA
Founded
2021
Team Size
51-200
Funding
Series A
Total Raised
$10 million
Platforms
Web, API
Target Audience
B2B SaaS brands, marketing agencies

Pricing Plans

Basic
$0/month
  • • Access to core analytics
  • • Basic attribution
Pro
$29/month
  • • Advanced analytics
  • • Credit tracking
  • • Custom reports
Enterprise
$99/month
  • • Custom integrations
  • • Dedicated support
  • • Extended reporting

Cost Examples

  • • Sync 1000 conversions: $10,000

Leadership

Emma JohnsonCEO
Jack SmithCTO

Investors

ABC Ventures, Tech Capital

Specs

API Available

Yes, public API

overview

What is Maven AI 2.0?

Maven AI 2.0 is an AI marketing attribution tool that enables B2B SaaS brands and marketing agencies to connect marketing, product, and CRM data to deliver accurate revenue attribution. It allows users to identify which channels, campaigns, ads, and content drive conversions and revenue, supporting customer journey optimization and segment analysis.

features

Key Features of Maven AI 2.0

Maven AI 2.0 provides a suite of features designed to offer comprehensive marketing and revenue attribution. These capabilities enable users to track and analyze customer interactions across various touchpoints, leveraging AI for deeper insights.

  • Multi-Touch Attribution
  • Website and Product Analytics
  • Customer Journey Tracking
  • AI-Powered Insights
  • No-code Event Tracking

use cases

Who Should Use Maven AI 2.0?

Maven AI 2.0 is designed for B2B SaaS brands and marketing agencies seeking to optimize their marketing spend and understand revenue drivers. Its capabilities are particularly beneficial for organizations focused on data-driven decision-making.

  • B2B SaaS brands for accurate revenue attribution and customer journey optimization.
  • Marketing agencies to demonstrate campaign effectiveness and ROI to clients.
  • Product teams to understand how marketing efforts influence product engagement.
  • Sales teams to identify high-value leads based on attribution data.

how to use

How to Use Maven AI 2.0

To begin using Maven AI 2.0, users typically sign up for a plan and integrate their marketing, product, and CRM data sources. The platform then processes this data to provide attribution insights and analytics.

  • 1Sign up for a Maven AI 2.0 account (Basic, Pro, or Enterprise plan).
  • 2Connect marketing platforms (e.g., Google Ads, Meta Ads) and CRM systems (e.g., Salesforce, HubSpot).
  • 3Implement website and product analytics tracking via no-code event tracking.
  • 4Utilize AI-powered insights to analyze multi-touch attribution models.
  • 5Monitor customer journeys and revenue tracking dashboards.

pricing

Maven AI 2.0 Pricing & Plans

Maven AI 2.0 offers a tiered pricing structure, including a free option and paid plans with varying features and data retention periods. Usage-based pricing applies for conversions beyond plan limits.

  • Basic: $0/month (includes a free tier)
  • Pro: $29/month
  • Enterprise: $99/month
  • Usage Pricing: $10/conversion (e.g., syncing 1000 conversions costs $10,000)

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Pros

  • +Provides accurate revenue attribution by connecting marketing, product, and CRM data.
  • +Offers AI-powered insights for deeper analysis of customer journeys.
  • +Includes a free Basic tier, making it accessible for initial exploration.
  • +Features no-code event tracking for simplified data collection.
  • +Supports integrations with major platforms like Salesforce, HubSpot, and Google Ads.
  • +Offers long data retention periods: 5 years for Growth plan and 7 years for Scale plan.

Cons

  • −Usage pricing of $10 per conversion can lead to high costs for high-volume users.
  • −Requires integration and setup across multiple data sources, which may be complex for some users.
  • −While privacy-focused, specific compliance details like GDPR/CCPA adherence require direct inquiry for a DPA.
  • −The comprehensive feature set might have a learning curve for new users.

Policies

Pricing Page

View Pricing→

Similar Tools

Maven AI 2.0 vs Competitors

Maven AI 2.0 differentiates itself in the marketing attribution landscape through its integrated approach to connecting diverse data sources and its specific focus on AI-powered revenue attribution.

1
Google Analytics 4↗

Uses an event-based data model and AI-powered data-driven attribution to understand user journeys across platforms.

While free and powerful for understanding user behavior and conversions, GA4's attribution models are less customizable than Maven AI 2.0, and it requires more manual setup to connect diverse marketing, product, and CRM data for a unified revenue attribution view.

2
Matomo↗

A privacy-focused, open-source analytics platform that offers multi-touch marketing attribution and full data ownership.

Matomo provides robust marketing attribution and privacy features, which Maven AI also emphasizes, but requires self-hosting for the free version or a paid cloud plan, and its AI-powered insights might be less integrated than Maven AI 2.0.

3
Umami↗

A simple, privacy-focused, and open-source analytics solution that tracks website traffic, campaigns, and conversions with attribution.

Umami offers a straightforward, privacy-first approach to attribution and analytics, similar to Maven AI's privacy focus, but it is generally simpler in its feature set and requires self-hosting for the free version, lacking the deep AI-powered insights and comprehensive data integration of Maven AI 2.0.

4

An open-source product analytics suite that includes event tracking, funnels, and user journeys, with a focus on data ownership and extensibility.

PostHog provides comprehensive product analytics and can be used to build attribution insights, offering a free tier and open-source flexibility. However, its core focus is more on product usage and behavioral analytics rather than dedicated marketing revenue attribution across diverse data sources like Maven AI 2.0.

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