Loops is an AI-powered product analytics platform providing deep causal insights to help businesses understand KPI changes and optimize conversion, retention, and monetization.
Data & Analyticsgetloops.aiTracked since 2026-08-211 discovery source
549Backlinks
158Referring domains
19Domain authority
-5.8%Referring domains · 90 days
Authority & distribution
How strong is Loops’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
549Current snapshot
Referring domains
158Current snapshot
Authority
19Domain authority · category median 22
90-day move
-5.8%Referring domains, last 90 days
At 19, Loops sits below the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Loops”
Loops is an AI-powered product analytics platform providing deep causal insights to help businesses understand KPI changes and optimize conversion, retention, and monetization.
Data & AnalyticsSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.getloops.ai
Observed across 1 discovery source.
Research questions
What the evidence answers about Loops.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What key features and capabilities does Loops offer?
Loops offers features including real-time KPI monitoring, root cause analysis, causal analytics to understand the 'why' behind metrics, and the ability to measure action impact without A/B testing. It also identifies hidden user journeys and funnels.
How does Loops help with prioritizing product hypotheses?
Loops helps by identifying hypotheses with a higher likelihood of success in the preliminary stage before execution. This allows teams to concentrate on what truly matters and improve the success rate of product changes.
How does Loops compare to the median product in its Data & Analytics category?
In the Data & Analytics category, which contains 932 products, Loops has a domain authority of 19. This is slightly below the category's median domain authority of 22.
What is Loops and what problem does it solve?
Loops is an AI-powered product analytics platform that provides deep causal insights to help businesses understand why their KPIs change. It solves the problem of identifying root causes for KPI drops, such as traffic changes or feature releases, without manual hours of analysis.
Who is Loops designed for?
Loops is built for every user, specifically targeting growth teams and product managers. It is used by teams to identify high-likelihood hypotheses and improve the success rate of product changes.
What is Loops?
Loops is an AI-powered product analytics platform that provides deep causal insights to help businesses understand KPI changes and optimize conversion, retention, and monetization.
Behind the lock
Unlock full Loops intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured