Loops
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About
Loops is an AI-driven product analytics platform designed to move beyond traditional descriptive data and into the realm of causal insights. By acting as an automated analytics agent named Scout, the tool allows users to ask natural language questions about their business performance. Instead of just showing that a metric changed, Loops identifies why conversion, retention, or monetization metrics have shifted. It connects directly to existing data warehouses and analytics stacks to provide a continuous stream of insights without requiring manual query writing or deep data science expertise. The platform’s core functionality revolves around its ability to surface the underlying drivers of key performance indicators. It features specialized modules for root cause analysis, KPI drop detection, and release impact measurement. For product teams, this means being able to see exactly how a new feature deployment influenced user behavior or which specific segments are driving growth. The tool also helps in mapping user journeys and identifying habit moments—the specific actions that lead to long-term user retention. Loops is specifically tailored for product managers, data analysts, and growth marketers at fast-scaling companies. It aims to reduce the time spent on manual data exploration from days to minutes, allowing teams to prioritize hypotheses based on their predicted likelihood of success. By automating the discovery of correlations and causal relationships, it bridges the gap between raw data and actionable product strategy, making it a valuable asset for teams at companies like Monday.com, ClickUp, and Postman. What distinguishes Loops from standard analytics tools is its focus on causal analytics rather than just simple correlation. While traditional platforms might highlight a drop in engagement, Loops investigates the why by analyzing various data dimensions automatically. Its no-code setup ensures that teams can integrate it with their existing infrastructure quickly, while its AI-first approach provides a conversational interface that makes complex data science accessible to non-technical stakeholders across an organization.
Pros & Cons
Automates the discovery of causal drivers behind KPI changes.
Reduces data analysis time from a full day to under an hour.
Provides a conversational AI interface for complex data queries.
Integrates seamlessly with existing data warehouses without coding.
Trusted by major growth teams at companies like Monday.com and ClickUp.
Pricing information is not publicly available on the website.
Requires a demo booking for full access to platform details.
Focuses primarily on product-led growth metrics rather than general business BI.
May require significant existing data volume to generate accurate causal insights.
Use Cases
Product Managers can use Loops to prioritize their feature roadmap by identifying which hypotheses are most likely to drive meaningful KPI improvements.
Growth Teams can automate the detection of KPI drops and instantly identify the root cause of user churn or decreased monetization.
Data Analysts can reduce their manual workload by using the Scout AI agent to answer routine stakeholder questions about data trends.
Product Engineers can measure the direct impact of every release to ensure that code changes are positively influencing user behavior.
Platform
Task
Features
• root cause analysis
• no-code data integration
• hypothesis prioritization
• habit moment discovery
• release impact measurement
• kpi drop detection
• causal insights
• scout ai analytics agent
FAQs
What kind of questions can I ask the Scout AI agent?
You can ask Scout natural language questions to understand why your KPIs like conversion, retention, or monetization have changed. It surfaces the specific causal drivers and user segments impacting those metrics.
Does Loops require a complex technical setup?
No, Loops offers an easy, no-code setup that allows you to connect directly to your existing data warehouses and analytics solutions. Once connected, you can immediately begin picking KPIs to monitor.
How does Loops help with product releases?
The tool includes a Release Impact feature that measures the specific effect of every change you make to your product. This helps teams understand if a new feature actually improved metrics or caused friction.
What makes Loops different from traditional analytics tools?
Unlike traditional tools that focus on descriptive data, Loops focuses on causal analytics to explain the why behind data changes. It prioritizes hypotheses with a higher likelihood of success based on automated data science.
Can Loops integrate with my existing data stack?
Yes, Loops is designed to find opportunities in your data regardless of where it resides by connecting to major data warehouses and popular analytics solutions.
Pricing Plans
Custom
Unknown Price• Scout AI Agent access
• Root cause analysis
• Causal analytics
• KPI monitoring
• Release impact measurement
• Habit moment discovery
• No-code data warehouse integrations
Job Opportunities
Senior Account Executive
Identify hidden growth opportunities and understand the causal drivers behind KPI changes with an AI-powered analytics agent for product and growth teams.
Experience Requirements:
Proven experience in sales or business development.
Experience in the analytics industry (product/marketing analytics, AI, BI, etc) – a big advantage.
Experience working in start-ups – advantage.
Other Requirements:
Excellent communication and presentation skills. Ability to persuade, lead, and confidently handle and resolve customer objections.
High motivation and energy to exceed targets.
High analytical skills to be able to understand the customers’ pain points and showcase Loops’ unique value propositions.
English mother tongue – mandatory.
Responsibilities:
As an Account Executive, you will be responsible for generating new revenue for Loops: creating, cultivating and developing accounts and increasing market share.
Meet and exceed sales quota – strategically selling the company’s core product to new prospects in a consultative manner.
Generate new leads through outbound research.
Management of entire sales cycle from prospecting, discovery, solution proposing, presentation, negotiating and closing.
Working days – Mon-Fri.
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