You don't have insights;
You have dashboards.

Loops is a no-code product analytics solution that uses AI and causal inference models to surface actionable insights tailored to your product KPIs, helping you focus on what drives product growth.

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Some of the companies that use Loops to gain actionable insights

How Loops Works

Loops presents opportunities
Loops surfaces the most impactful product growth opportunities hiding in your data in a dedicated feed of opportunities
Loops’ unique analyses and data science models
Loops applies advanced analytics and causal inference models on your data and links them to your KPIs
Take action
Loops inspires you to take action by surfacing the industry’s best practices.
Measure results and learning
Loops understands the impact of your actions, using minimal traffic and time, and shares the learnings from your experiments

What can you get with with Loops

Loops product analytics - see when a KPI is going down

Quickly see why a KPI is going down

Loops tracks and identifies when your KPIs are going down in real-time. No more spending hours trying to identify why; Loops shows you the root causes: changes in traffic, new feature releases and more. 

How features impact your KPIs

Loops identifies and shows the contribution of each product feature on conversions, retention and monetization using causal inference models.  

Loops product analytics - know how features impact KPIs
Loops product analytics - measure impact without ab testing

Measure impact without A/B testing

Loops leverages causal inference models to simulate an A/B test and show you the impact of your actions, even with minimal traffic.

Read how Taboola used this feature to increase revenue.

See how user journeys impact your KPIs

Loops shows you hidden user journeys and funnels that lead users to convert or churn. 

Loops product analytics - how user journey impacts kpis
Loops product analytics - ab testing with less resources

Accurate A/B tests with less traffic

Loops quickly helps you understand the impact of A/B tests by leveraging proprietary Bayesian models and finding machine learning-based leading indicators for lagging metrics. 

Zero-code Integration with all data sources

Loops vs. Alternatives

Comparison Table
Features Loops Mixpanel Amplitude Other Product Analytics Solutions
Unique Causal Inference Models V X X X
Cloud Native, No-Code Solution V X X X
Products Features ROI Analysis V X X X
Science-Based AB testing V X X X
Actionable Insights V X X X
AI Push-Based Insights V X X X
Build for PMs AND Data Analysts V X X X

Recent blog posts

Case Study – Atera: Insights from Feature-Impact Model led to 34% Lift – with no A/B Testing

Using Loops, the product analytics team at Atera, the world’s first AI-powered IT management platform, were able to drive a 34% lift in a core business KPI.

Initially, the naive effect (before/after) of a recent feature release appeared to have a positive outcome. However, digging deeper with the Loops feature release model, they discovered that the causal effect was actually negative. Using the model and the new insight, they were empowered to make a series of iterative changes to the feature in order to maximize the KPI, resulting in the substantial, 34% lift in conversion rates.

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