Loops
2024-07-18T07:01:00+00:00
Loops
Generated by AI —— Loops
Loops is a revolutionary no-code platform designed specifically for product and data managers, aiming to enhance key performance indicators (KPIs) such as conversion and retention. By utilizing advanced causal AI models, Loops goes beyond traditional dashboard solutions to proactively uncover insights that are often hidden within vast datasets.
The platform is trusted by leading growth teams and is aptly titled 'Loops | Be the Key to Growth'. It focuses on getting straight to the core of why KPIs fluctuate and what actionable steps can be taken next. One of the standout features of Loops is its ability to identify in real-time when KPIs are declining, pinpointing root causes such as changes in traffic or new feature releases, thereby saving valuable time and resources.
Loops excels in identifying hidden segments within your data. It continuously monitors all KPIs, automatically detecting trends and anomalies, and then provides a ranked list of potential causes based on their impact. This includes factors like marketing efforts, product performance, bugs, seasonality, and more.
The platform's proprietary causal analysis capabilities set it apart. These models empower users to deeply understand the 'why' behind their KPIs. By analyzing every possible combination of data, Loops can pinpoint the most impactful opportunities that may have otherwise remained hidden.
Another significant advantage of Loops is its ability to measure the impact of changes without the need for A/B testing. By simulating A/B tests, Loops can show the effects of actions even with minimal traffic, as demonstrated by how Taboola used this feature to increase revenue.
Loops also provides insights into how user journeys affect KPIs. It reveals hidden user journeys and funnels that influence whether users convert or churn, offering a deeper understanding of user behavior.
The platform facilitates the definition and tracking of top KPIs, ensuring that everyone on the team is empowered with generative AI insights delivered directly to their Slack, MS Teams, or email. This feature allows for powerful progress-to-target tracking, enabling early detection of deviations from goals and facilitating timely course corrections.
Loops is designed to close the loop on hypotheses prioritization, as evidenced by testimonials from industry leaders like Noa Kind, Senior Growth Product Manager, who reduced her analysis time from a whole day to less than an hour. Similarly, Yuval Regev, Head of BI & Analytics, saw a 200% increase in conversion to the next step, and Simon Trudeau, Head of Analytics and Optimization, experienced a 25% increase in core feature use.
The platform's ease of use is highlighted by its straightforward workflow: connect to your data, select the KPIs you want to maximize, and start receiving insights on your biggest opportunities. It also allows for measuring the impact of every change made, ensuring that efforts are focused where they matter most.
Loops offers a significant return on investment (ROI) by turbocharging analytics resources. One analyst can effectively perform the work of five data scientists, with an 80+% experiment success rate. It maximizes KPIs, potentially increasing conversion, retention, and revenue metrics by 20-200%. Additionally, it provides over 80% accuracy in measuring the impact of product releases compared to real A/B tests.
In summary, Loops is a powerful tool for product and data managers looking to unlock hidden insights and drive significant improvements in their KPIs. Its user-friendly interface, advanced causal AI models, and real-time insights make it an indispensable asset for any growth team.
Related Categories - Loops
Key Features of Loops
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Causal Analysis
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Measure impact without A/B testing
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See how user journeys impact your KPIs
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Define & Track your Top KPIs
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Turbocharge Analytics Resources
Target Users of Loops
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Product Managers
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Data Managers
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Growth Teams
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Analytics and BI Teams
Target User Scenes of Loops
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As a Product Manager, I want to quickly identify why a KPI is going down so that I can take immediate action to correct it
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As a Data Manager, I want to perform causal analysis on my KPIs to understand the root causes of changes and make informed decisions
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As a Growth Team member, I want to discover hidden user segments and their journeys to optimize conversion and retention strategies
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As an Analytics Team member, I want to measure the impact of product changes without conducting A/B tests to save time and resources
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As a BI Team member, I want to prioritize hypotheses for product improvements based on data-driven insights to enhance product performance.