Senaste uppdateringarna för Analytics

Influence Template

Instantly understand what’s driving your most important metrics — and where to focus next.​

Key benefits:

• Identify the events, cohorts, and behaviors most strongly associated with revenue, retention, and conversion.​

• Spot high-impact, high-reach actions so teams know where to invest and what to improve.​​

• Explain metric changes by connecting outcome shifts to the user behaviors and segments behind them.

Images are for illustrative purposes and subject to change.

Story Tiles

Add visual context to your metrics so everyoneunderstands what changed and why it matters.​

• Attach screenshots, designs, or feature UIs directly to dashboards and experiment results.​

• Upload PNG, JPG, or GIF files to support analysis, product storytelling, and reporting.​

• Combine metrics and visuals to explain what shipped, what changed, and why it matters in one place.

Series Color Styling

Make charts clearer and more consistent acrossdashboards and reports.​

• Customize colors and labels for each series so lines and bars are easier to read and interpret.​

• Standardize how key series (e.g., Mobile, Web, Signup Completed) appear across tiles and explorations.​

• Eliminate confusion in reviews — no more “which line is which?” when scanning dashboards.

Guardrail Alerts

Guardrail Alerts notify you when a key metric declines beyond a set threshold during an experiment. Often tied to guardrail metrics like site speed or signups, these alerts help prevent negative outcomes and enable fast, proactive decision-making.

Key benefits:

• Proactive monitoring of guardrail metrics.

• Timely notifications via email or Slack channel when metrics fall outside acceptable thresholds. (e.g, receive an alert if overall revenue drops 5%.)

• Usable across the platform to safeguard critical KPIs.

Health Check

Data Health Check validates that your data is configured and behaving as expected. With a single click, it runs automated checks on an experiment or dataset to surface issues before they impact results or analysis.

• Catch data integrity issues before they impact analyses, experiments, or dashboards.​

• Identify duplicate primary keys and broken relationships that can lead to incorrect results.​

• Flag conflicting variation assignments and exclude affected actors automatically.​

• Verify actor identifiers are consistent across event, decision, and actor data.​

Metric Presets

Metric Presets let users define formatting and experiment settings once at the metric level—so those settings automatically apply everywhere the metric is used. No more re-adding “$”, fixing percentages, flipping improvement direction, or reconfiguring alerts for every experiment.

• Define formatting and experiment settings once at the metric level—so those settings automatically apply everywhere the metric is used.​

• Apply experiment-specific presets so metrics are always evaluated correctly.​

• Eliminate repetitive work in every new exploration.​

• Preset formatting follows each metric across reports, explorations, and experiments.​

Context Specific Output by Opal

Make decisions smarter by giving AI direct context from your explorations and data. Feed Opal explorations from OA or warehouse data so its guidance is always grounded in evidence.

Key benefits:

• Enhance Opal’s responses with real data context for higher accuracy.

• Ground AI guidance in explorations and warehouse sources, not assumptions.

• Transform Opal into a context-aware partner for faster, data-backed decisions.

Outlier Management

• Reduce the impact of outliers in yourexperiments results ​

• Cap values at a set threshold or based themoff a pre-defined percentile ​​

• Minimize the influence of extreme data pointsthat skew your experiment results​

• Supports any metric in Optimizely Analytics

  

Favorites

Mark key entitles (explorations, dashboards, etc.) as favorites to keep them easily accessible, so you can quickly return to the insights you use most, without digging through folders or search.

Key benefits:

• Instantly open your go-to dashboards and explorations.
• Skip search and navigation for frequently used assets.
• Focus your view around what matters most to you.

Table Totals & Subtotals

Easily switch between the big picture and the details. Expand or collapse tables to view totals, subtotals, and detailed breakdowns.

Key benefits:

• Toggle between summary views and granular details in a single table.

• Save time by accessing both high-level trends and underlying inputs without extra setup.

• Give users flexible control to explore data at the level that matters most.

Exploration Generator Agent

Get from question to insight instantly—no setup, no friction. Type a natural-language question and AI builds the right exploration for you.

Key benefits:

• Ask questions in plain English and receive the right analysis automatically.

• Eliminate manual report building to speed up learning cycles.

• Empower every team to move from questions to answers with ease.

Chart Summary Generator

Turn complex charts into clear, actionable takeaways in seconds. AI translates visual reports into concise insights so you can see key findings and next steps without the noise.

Key benefits:

• Instantly convert charts and tables into written insights for faster understanding.

• Highlight key findings and recommended actions to drive confident decision-making.

• Share simplified summaries across teams to communicate impact and align on next steps.

Opal Chat

Get answers fast right inside the product. Chat in natural language to explore data, uncover insights, and learn best practices—all in one place.

Key benefits:

• Ask questions in plain English and instantly generate explorations without needing complex setup or queries.

• Move beyond static documentation and support tickets by engaging in interactive, AI-powered conversations.

• Learn best practices and uncover insights quickly, helping teams make confident, data-informed decisions faster.

Save Inline Blocks

Save time and boost productivity by reusing work instead of starting from scratch. Create and store metrics or derived columns directly—no more manual duplication.

Key benefits:

• Build metrics and derived columns once, then reuse them across multiple analyses.

• Eliminate repetitive setup to free up time for deeper insights.

• Scale analysis through a modular system that grows with your data needs.

Categories

Quickly organize your workspace by grouping related assets like dashboards, events, and explorations—making everything easier to find, manage, and govern.

Key benefits:

• Group related dashboards, explorations, and events under shared categories to reduce clutter and help teams navigate growing data environments.
• Assign categories by team, product, or status (e.g., “Verified”) to establish clear ownership and enforce consistent governance.
• Help users quickly find what they need by enabling filtering and search by category—no more digging through disconnected assets.

Period and Comparison Tile

Quickly see growth, dips, and trends without extra setup. Apply period-over-period comparisons across all visuals in one step for a unified view.

Key benefits:

• Spot key trends instantly with consistent time-based comparisons.

• Apply week-over-week, month-over-month, or custom periods across dashboards in one click.

• Ensure teams analyze performance the same way—no manual alignment required.

SRM Health Check

Sample Ratio Metric (SRM) Health Check is coming to Optimizely Analytics! This feature helps users identify errors and inconsistencies in the distribution of their variations, across all their tests, enabling them to troubleshoot instrumentation or implementation issues more effectively. This proactive approach ensures data integry and reliable experiment results.

Key benefits:

• Proactive error detection
• Improved data integrity
• Simplified troubleshooting

Outlier Management

Outlier management helps prevent skewed experiment results caused by outliers. This feature, currently available for revenue metrics in Experimentation, will expand to support any numeric metric in Analytics. Users can either cap values at a defined threshold or smooth them based on percentiles, ensuring more accurate analysis.

Key benefits:

• More accurate experiment results
• Reduced impact of outliers
• Support for various numeric metrics

Experiment on Anything

Optimizely’s proprietary Stats Engine—designed for trustworthy, continuous experimentation—is now available to use with experiment data collected from any source. As long as the dataset includes experiment ID, variation ID, user ID, and timestamp, you can upload or connect third-party data (e.g., from in-house A/B tools, feature flags, or CDPs) and run it through Optimizely's Stats Engine for consistent analysis.

Key benefits:

• Flexible – Analyze data from any experimentation tool.
• Consistent – Apply one stats model across all tests.
• Fast – Skip custom stats logic and get insights quickly.

Warehouse-Native Experimentation Analytics

Optimizely’s all-new Warehouse-Native Experimentation Analytics unlock everything you need to
analyze your tests at a much deeper level, measure variations against custom metrics, and make
decisions that have a true impact on your business.

Specific capabilities include:

• Data Warehouse Connectors: Quickly integrate with BigQuery, Databricks, Redshift or
  Snowflake for seamless data flow
• Seamless Navigation: Effortlessly switch between configuring experiments and conducting deep
  experimentation analysis
• Results Scorecard: Highlight performance by variant per metric (e.g. improvement, confidence
  intervals and statistical significance)
• Custom Events & Cohorts: Track specific user interactions, and groups users based on shared
  behaviors for targeted analysis and segmentation
• Metrics: Measure the business outcomes that signal success with Conversion, Numeric and
  Ratio metrics in addition to robust governance
• Statistical Models: Use Optimizely’s industry-leading Stats Engine to generate results from your
  warehouse data, with additional cutting-edge techniques like CUPED and Delta Method to
  manage variance
• Experimentation Analytics: Filter results by user segments, analyze trends over time, and track
  variation performance through designated funnels
• Experiment Tab: See all your sync'd experiments, monitor progress, and access results — all
  from a single view

For a closer look at the new functionality, watch this brief, 2-min demo.