ShippedImplementation Dashboard
We’re introducing an implementation dashboard that gives teams a clear overview of how experiments are rolled out in production. The dashboard will show which variants are active, which experiments are deployed, and where changes are currently applied, making it easier to track implementation status and ensure consistency across pages and environments.
ShippedEnhanced Visual Rule and Targeting Builder
We’re introducing a new visual rule and targeting builder that makes it easier to define exactly who should see an experiment or personalization. The enhanced builder provides clearer logic, better validation, and more control over complex conditions, helping teams create precise targeting rules without sacrificing transparency or reliability.
ShippedReal-Time Experiment Monitor
We’re introducing a real-time experiment monitor that gives immediate visibility into all active experiments. The monitor shows experiment status, traffic flow, and key performance signals as they update, making it easier to understand what is running, spot issues early, and stay in control of experimentation without waiting for periodic reports.
ShippedAug 2026Experiment Pipelines
Running a mature experimentation program means managing more than individual tests. Pipelines let you organize experiments into ordered stages and automate how your testing roadmap progresses from one experiment to the next. You can: I) Group experiments into stages that run together, while controlling the order in which stages are launched II) Run each stage at full traffic instead of splitting visitors between experiments that should not overlap III) Automatically advance the pipeline when experiments conclude or a conclusive result is reached IV) Preview automation in dry-run mode before allowing Pertento to stop experiments or progress the pipeline automatically Pipelines turn your experimentation roadmap into an executable workflow. Instead of manually coordinating when every experiment starts and stops, you can define the strategy upfront and let Pertento manage the progression while keeping you in control.
ShippedAug 2026Surveys
Experiment data tells you what happened, but it doesn’t always tell you why. Surveys bring qualitative customer feedback directly into Pertento, allowing you to collect NPS, CSAT, CES, and open-text responses alongside your experimentation data. You can: I) Build and launch targeted on-site surveys using NPS, CSAT, CES, open text, and single-choice questions II) Trigger surveys based on page views, time delays, exit intent, scroll depth, or custom events III) Connect responses to the experiment variant each visitor actually experienced IV) Use AI-powered sentiment analysis to quickly understand large volumes of written feedback Surveys bridge the gap between quantitative experiment results and the customer experience behind them. Instead of only seeing that a variant performed better, you can understand why customers responded differently and use those insights to shape what you test next.
ShippedFeb 2026Experiment Pipes: Automated Sequencing and Performance-Based Progression
Experiment Pipes introduce a structured way to run multiple experiments in a defined sequence. Instead of manually starting and stopping each test, Pertento will automatically progress through the pipeline based on performance. When an experiment reaches a conclusive result, Pertento ends it and activates the next experiment in the pipe. If a variant performs poorly, the system shuts it down and moves forward without requiring user intervention. This allows teams to predefine a testing strategy, reduce operational overhead and maintain continuous optimization without manual monitoring.
ShippedFeb 2026Variant Combinations Analysis
Most experiments don’t run in isolation. Visitors are often exposed to multiple tests at the same time, and the combined effect is rarely additive. We’re introducing Variant Combinations Analysis, a new reporting layer that lets you explore how different experiment variants perform together, not just individually. You’ll be able to: I) See which combinations of variants overperform or underperform II) Analyze interactions across experiments using any KPI or event III) Explore results without affecting experiment integrity or data quality This feature is designed for diagnosis and learning, not automated decision-making. It helps surface interactions, risks, and synergies that traditional experiment reports miss.
ShippedJan 2026Improved Visual Editor with Faster Editing and Better Control
We are working on a significantly improved visual editor that makes creating and refining experiment variants faster and more precise. The update focuses on smoother editing, better selector handling, improved stability across complex layouts and clearer control over changes before deployment. The new editor is designed to reduce friction for both developers and non-technical users while maintaining full transparency and control.
ShippedJan 2026New platform UI
We are launching a redesigned interface that streamlines experiment management and introduces several new capabilities. The update includes real-time experiment monitoring, a dedicated personalization workspace and an implementation dashboard that quickly ships successful experiments to the development team. The new UI improves workflow speed, clarity and overall control of the experimentation process.
ShippedNov 2025Major Performance Update: Script Size Reduced from 14 KB to 0.5 KB
We have released a significant performance upgrade to the Pertento runtime, reducing the script size from 14 KB to just 0.5 KB. This makes Pertento one of the lightest experimentation loaders available, with virtually no measurable impact on Core Web Vitals. The new runtime improves startup speed, reduces parsing overhead and ensures faster variant activation across all devices. This update will be automatically applied for all customers and requires no configuration changes.