Loops

Loops: AI-Powered Data Analytics for Unseen Growth

What is Loops? Loops is an AI-powered data analytics platform designed to unlock hidden growth potential within your product data and seamlessly enhance your KPI performance. It offers deep, accurate causal insights through its AI Analytics Agent, Scout.

Key Features and Benefits:

• AI Analytics Agent (Scout):
  • Empowers users to ask questions and instantly gain insight. Understand changes in conversion, retention, or monetization, identify reasons for user drop-off in funnels, and uncover causal drivers impacting KPIs.
  • Delivers Agentic AI-powered Alerts and Insight Summaries via Slack, MS Teams, and email.
  • Provides self-serve analytics for stakeholders, freeing analysts to focus on in-depth research and growth opportunities.
  • Unlike typical GenAI tools, Scout delivers accurate, causal insights you can trust.
• KPI Monitoring and Root Cause Analysis:
  • Tracks and identifies KPI drops in real-time, eliminating the need to spend hours identifying the cause.
  • Pinpoints root causes, such as changes in traffic and new feature releases.
• Hypothesis Prioritization:
  • Helps prioritize hypotheses with a higher likelihood of success, improving the success rate of product changes.
• Impact Measurement:
  • Accurately measures the impact of changes, boasting 80%+ accuracy in measuring product release impact compared with real A/B tests.

How does Loops work?

1. Connect to your data warehouses and analytics solutions.
2. Pick the KPIs you want to maximize.
3. Start getting insights on your biggest opportunities.

Why is Loops important?

Loops helps businesses:

• Turbocharge analytics resources: One analyst can do the work of five data scientists.
• Maximize KPIs: Lift conversion, retention, and revenue metrics.
• Focus efforts where they matter most: Improve accuracy in measuring product release impact.

Who is Loops for?

Loops offers solutions for:

• Data Analysts: Empowering them with tools to uncover deep insights efficiently.
• Product Managers: Helping them make data-driven decisions to optimize product performance.

Real-world Example:

Noa Kind, Senior Group Product Manager, highlights the advantage of Loops in the preliminary stage of identifying hypotheses with a higher likelihood of success. Loops allows her team to improve the success rate of product changes and concentrate on what truly matters.

Loops ROI:

• 80+% Experiment Success Rate
• 20-200% Lift in conversion, retention and revenue metrics
• 80+% Accuracy in measuring product release impact

Where can I learn more about Loops?

• Official Website: Check the official Loops website for detailed information, case studies, and integration details.

In conclusion, Loops is a powerful AI-driven data analytics platform that enables businesses to unlock growth opportunities by providing accurate causal insights, streamlining KPI monitoring, and empowering data-driven decision-making. By using Scout, the AI Analytics Agent, stakeholders can gain self-serve analytics, allowing analysts to focus on deeper research and strategic initiatives.