Powerful metric applications on the modern data stack

Trace organizes, connects, and automates various metric transformations supercharging your data and business teams to measure and propel performance

What Users Are Saying

"Trace is taking a novel approach to modeling and linking business semantics and building high value analytical applications. We are excited to partner and leverage Trace for several applications at Convoy like experimentation, composable metrics reporting, and root causing."

Chad Sanderson
Head of Data, Product Manager, Data UX Champion
@ Convoy

"Trace is thoughtfully engineered to bring much needed organization, connectivity and automated transformation functionality to our metrics. We are starting with A/B and Quasi experiments use case, and excited to onboard more use cases on this platform."

Daniel Dicker
Software Engineer
@ Convoy

"We use Trace to root cause how segments drive key metrics, and to isolate the impact of initiatives. We are expanding use cases to simulate metric scenarios, and run and measure experiments. Excited to leverage these powerful metric applications in our OKR process."

Peter Muller
Head of Insights
@ Capsule

"At Airbnb, we got tremendous leverage from our in-house metrics tool, Minerva. Trace's unique approach extends beyond the goals of Minerva - driving applications such as experimentation and root-cause analysis - a powerful “metrics stack” for organizations."

Aaron Siegel
prev. Head of Data Platform
(AirBnB and Twitter)

Product Overview

Backed by a semantic layer that maps datasets to business concepts, Trace powers metrics applications to operate your business - composable reporting,  root causing changes, A/B and quasi-experiments, and simulating scenarios.

Composable Reporting
Root Cause and Impact Analysis
A/B and Quasi Experiment Metrics
Segmentation/Off Line Experiments
Metric Scenarios

Semantic

Easily and progressively map your datasets + sql snippets to the connected semantic layer

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Application

Generate outputs that analytically drives quarterly planning to daily investigations of metrics

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Semantic

Easily and progressively map your datasets + sql snippets to the semantic layer; validate, review, publish.

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Application

Generate outputs optimally shaped for reporting, experimentation metrics, root cause analysis and more.

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Executive or Operational Reporting
A/B and Quasi Experiment Metrics
Segmentation/Off Line Experiments
Weekly Business Reviews
Segment Impact/Root Cause Analysis

Increase ROI, not more datasets and reports

Trace supercharges your data and business teams to measure and propel performance

Productivity

Map once, Use many

Map a metric once; compose and reuse for various use cases. Save time for perpetually constrained data teams.

Democracy

Data for all, All for data

Empower data savvy users in the org to run advanced and often repetitive analysis on their own.

Intelligence

More connections. More insights.

Understand your complex, connected business - isolated metrics in reports don't get to the "why" or the "how".

Impact

Drive ROI from your own data

Demand more from your data. Run the OKR process with strong analytical inputs. Set, track and impact performance.

Productivity

Less clutter. More time.

Define business concepts once, reuse many.  Save precious time -  especially for  perpetually constrained data teams.

Democracy

Data for all, All for data

Empower data-thirsty users in the organization to self-serve through business concepts, not code.

Intelligence

Fewer silos. More connections.

Break the silos of isolated metrics. Answer connected questions otherwise seemed out of reach.

Impact

Drive ROI from your own data

Run your business with confidence in the insights. Run more experiments. More shots on goal.

For data scientists or data analysts

  • Stop drowning in "list pulls" to run experiments or "can you look into this metric?" - define it once and use Trace!
  • Save precious cycles otherwise spent executing ad-hoc analysis. Let Trace do the heavy lift for common metric transformations.
  • Reclaim your time, elevate your role  - partner with the business to set and impact OKRs.

For data-driven operators

  • Minimize the coordination games of “could you pull this or look into this?" Answer questions in minutes, not days.
  • Become one with your data: root cause metric changes, isolate impact of initiatives, run what-if scenarios, identify desirable segments, run experiments etc.
  • Partner with your data team to analytically enrich the OKR process - from setting goals to root causing and impacting metrics.

For data and analytics engineers

  • Focus on upstream data source ingestion and generating  high quality base datasets that the organization needs.
  • Spend less time optimizing SQL queries, and organizing the swamp of code and datasets
  • Elevate your role, drive the “data-as-a-product” culture - quality AND velocity.
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