GrowthLoop

What GrowthLoop does

GrowthLoop is a Compound Marketing Engine that drives compound growth by accelerating the marketing cycle, using Agentic AI powered by enterprise cloud data. It is an agentic, composable CDP that unites cloud data and AI into one platform. Growth Agents propose audiences and journeys, and activate campaigns across channels, streamlining execution and continuously analyzing performance data to make suggestions for campaign optimization. The platform empowers marketers to build effective audiences, orchestrate personalized omnichannel journeys, and leverage AI to find revenue opportunities. GrowthLoop is built on a cloud-native and composable architecture, providing a unified customer view from the data cloud and real-time data ingestion and analysis by agents for continuous improvement.

Products

• Compound Marketing EngineAn enterprise platform powered by agentic AI on the data cloud that helps marketers drive compound growth by accelerating the marketing cycle. It combines trusted data and agentic intelligence to power smarter, faster, compounding growth.
• AI StudioThe marketer’s command center for the Compound Marketing Engine, where marketers mobilize agents to build revenue-generating audiences and journeys, and where agents proactively surface recommendations to drive compound growth. It uses generative AI to create and refine target audiences.
• Composable AI DecisioningOptimizes for measurable business impact directly in the data cloud, allowing teams to measure incremental lift at scale, continuously improve campaign decisions, and determine actions that change customer outcomes. It runs directly inside the data cloud warehouse.
• Audience BuilderA visual, no-code, self-service audience-building interface built for marketers to create custom audience segments without writing SQL. It allows for building, customizing, and activating audience segments.
• Universal JourneysA visual canvas that enables customers to orchestrate full programs across multiple channels from a central canvas, sequencing multiple communications with customers across several destinations.
• Data ManagerProvides a visual UI to data modeling, making it simple for data teams to view, connect, and manage customer datasets all in one canvas, showing data relationships instantly without SQL.
• Composable Commerce MediaA solution for commerce media networks that enables teams to build precise audiences instantly, activate across DSPs and ad platforms, and deliver transparent ROI reporting to drive advertiser revenue. It provides self-serve audience building, campaign measurement, and flexible activation.

Key capabilities

• Agentic AI
• Composable CDP
• Cloud-native architecture
• Visual, no-code audience-building interface
• Omnichannel journey orchestration
• AI-driven optimization and insights
• Unified customer identity profile from cloud data warehouse
• Automated data syncs
• Real-time data ingestion and analysis
• Agentic recommendations
• Incrementality & uplift measurement
• Audience insights
• Journey insights
• Channel insights
• Journey personalization
• Journey experimentation
• Omnichannel message delivery
• Role & feature-based access
• SOC Type II Compliance
• PII Management
• Query in Place
• Data Governance
• Application Firewall
• SSO
• Encryption in Transit and Rest
• Bring your own encryption key support
• DevSecOps practices with automated vulnerability scans
• Yearly penetration tests
• Natural language prompts for audience creation
• Audience Agent for segment suggestions
• Data Agent for data understanding
• Supervisor Agent for overseeing other agents
• Journey Agent for building personalized journeys
• Insight Agent for performance data analysis
• Research Agent for brainstorming and contextual answers
• Self-serve data activation
• No data replication or data requests
• Pre-built audience templates
• Event collection activation
• Seamless ingestion of customer data
• Managed or self-serve activation for retail media networks
• Access control and role-based permissions for multiple brands

Use cases

• Accelerating the marketing cycle
• Building precise audience segments
• Building and triggering omnichannel journeys
• Personalizing customer experiences
• Running campaign experiments
• Quantifying marketing impact
• Activating first-party data within the cloud
• Building infrastructure for AI strategy
• Creating and maintaining a unified customer 360
• Enabling self-serve data activation for marketers
• Monetizing first-party data through retail media networks
• Optimizing for measurable business impact
• Measuring incremental lift at scale
• Improving campaign decisions
• Determining actions that change customer outcomes
• Creating highly targeted cross-sell segments for advertisers
• Targeting seasonal shoppers with early-access promotions
• Upselling investment products to long-term banking customers
• Cross-selling credit cards to high-credit customers
• Retargeting event attendees with exclusive deals
• Winning back churned streaming customers with promos
• Segmenting customers by most-used features for in-app experience
• Targeting highly engaged prospects with free trial offers
• Building omnichannel ad campaign orchestration systems
• Enhancing personalization efforts while complying with data privacy requirements
• Targeted audience segmentation and faster campaign launches
• Transforming fan engagement through data-driven insights
• Unifying marketing strategy and breaking down silos
• Driving ROI with predictive modeling to combat churn and improve user acquisition
• Streamlining loyalty programs
• Driving revenue growth through personalized, data-driven campaigns

AI approach

GrowthLoop utilizes "Agentic AI" to power its Compound Marketing Engine. This involves AI agents that propose audiences and journeys, activate campaigns, analyze performance data, and suggest optimizations. The AI Studio allows marketers to use natural language to define goals, and agents build audiences and campaigns. The platform also features Composable AI Decisioning for optimizing business impact directly in the data cloud, learning from causal data and real outcomes. GrowthLoop emphasizes that its AI agents learn from the customer's first-party data within their data cloud.

Tech named: Agentic AI, Generative AI, AI Studio, Growth Agents, Data Agent, Supervisor Agent, Audience Agent, Journey Agent, Insight Agent, Research Agent, Composable AI Decisioning, Agentic Context Graph

Industries served

• Software Development
• eCommerce
• Sports & Entertainment
• Finance
• Retail
• B2B
• SaaS
• Media and entertainment
• Tech

What it says sets it apart

• Agentic AI powered by enterprise cloud data
• Composable CDP architecture
• Runs directly on the customer's cloud data warehouse (Snowflake, BigQuery, Redshift)
• No-code, visual audience-building interface for marketers
• AI learns from performance over time to deliver precise insights
• Unified customer view built from the data cloud
• Real-time data ingestion and analysis by agents
• SOC 2 Type 2 compliant
• Avoids fetching or storing customer data on its platform
• Supports bring your own encryption key
• DevSecOps practices with automated vulnerability scans and penetration testing
• Natural language prompts to mobilize AI agents
• Agents proactively build audiences and campaigns for review
• Full visibility and approvals of AI agent suggestions
• Ability to manage multiple brands with ease, including data separation and access control
• Zero-copy and clean-rooms for privacy compliance in retail media networks