List of Feedback Intelligence Platform Customers
San Francisco, 94117, CA,
United States
Since 2010, our global team of researchers has been studying Feedback Intelligence Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Feedback Intelligence Platform for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Feedback Intelligence Platform for ML and Data Science Platforms include: ActiveCampaign, a United States based Professional Services organisation with 1000 employees and revenues of $150.0 million and many others.
Contact us if you need a completed and verified list of companies using Feedback Intelligence Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Feedback Intelligence Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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ActiveCampaign | Professional Services | 1000 | $150M | United States | Feedback Intelligence | Feedback Intelligence Platform | ML and Data Science Platforms | 2026 | n/a |
In 2026, ActiveCampaign acquired Feedback Intelligence and brought the Feedback Intelligence Platform into its stack to accelerate Active Intelligence. The acquisition in February 2026 adds conversation analysis and AI evaluation capabilities for marketing/CRM and enables AI agent observability across ActiveCampaign operations in the United States.
ActiveCampaign integrated the Feedback Intelligence Platform's conversation analysis modules and continuous improvement features directly into Active Intelligence, aligning ML and Data Science Platforms capabilities with marketing workflows and CRM automation. Functional capabilities implemented include conversation transcript analysis, AI evaluation pipelines, agent performance scoring, and feedback loops for iterative model retraining, reflecting standard ML and Data Science Platforms functionality.
The technical integration layers the Feedback Intelligence Platform into ActiveCampaign's Active Intelligence runtime, routing conversational telemetry and evaluation outputs into campaign orchestration and agent monitoring processes. Operational coverage focuses on marketing, CRM, and AI operations teams in the United States, providing observability for AI agents and feeding insight-driven automation back into campaign logic and customer experience workflows.
Governance concentrated on establishing evaluation and continuous improvement workflows, including annotation review, evaluation cadence, and change controls for model updates, to manage AI agent performance within marketing and customer experience processes. Rollout is organized to prioritize Active Intelligence touchpoints in marketing and CRM, with shared ownership across analytics, product, and customer success teams to operationalize findings.
The Feedback Intelligence Platform positions ActiveCampaign within ML and Data Science Platforms while directly serving marketing and CRM business functions and AI agent observability. The stated objectives are to accelerate Active Intelligence, improve agent performance, and enable insight-driven automation.
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