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🧮 Unique Values Aggregation
5/22/2025
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🧮 Unique Values Aggregation
Count distinct values for any property across events or users, no longer limited to IDs.
What You Can Do Now
Select Unique Values as the aggregation type in Metric Drilldown.
Answer questions like “How many different referrers drove traffic last week?” or “How many SKUs were added to carts today?”
Combine with filters and group-bys to surface granular uniqueness counts in one step.
How It Works
Pick your metric or event.
In the aggregation dropdown, choose Unique Values.
Select the property whose distinct values you want counted (e.g., referrer, sku, country).
The chart returns the count of unique values for that property over the chosen time range and granularity.
Impact on Your Analysis
Broader coverage: Distinct-value analysis now works on any property, not just user_id, stable_id, or company_id.
Faster answers: Skip custom SQL or exports when you need unique counts on the fly.
Try the Unique Values option to see diversity in your data at a glance.
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Dave Cummings
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"We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion."
Don Browning
SVP, Data & Platform Engineering
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Laura Spencer
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John Lahr
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Preethi Ramani
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Berengere Pohr
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Brooks Taylor
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Ahmed Muneeb
Co-founder & CTO
"Leveraging experimentation with Statsig helped us reach profitability for the first time in our 16-year history."
Zachary Zaranka
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David Sepulveda
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Karandeep Anand
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"We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig."
Partha Sarathi
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Shannon Priem
Lead PM
"I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig."
Partha Sarathi
Director of Engineering
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Jeff To
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"[Statsig] enables shipping software 10x faster, each feature can be in production from day 0 and no big bang releases are needed."
Matteo Hertel
Founder
"We use Statsig's analytics to bring rigor to the decision-making process across every team at Wizehire."
Nick Carneiro
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"We've successfully launched over 600 features behind Statsig feature flags, enabling us to ship at an impressive pace with confidence."
Wendy Jiao
Staff Software Engineer
"We chose Statsig because it offers a complete solution, from basic gradual rollouts to advanced experimentation techniques."
Carlos Augusto Zorrilla
Product Analytics Lead
"We have around 25 dashboards that have been built in Statsig, with about a third being built by non-technical stakeholders."
Alessio Maffeis
Engineering Manager
"Statsig beats any other tool in the market. Experimentation serves as the gateway to gaining a deeper understanding of our customers."
Toney Wen
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Michael Koch
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"At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It's also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us."
Mengying Li
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Rami Khalaf
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Omar Guenena
Engineering Manager
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Michael Sheldon
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Elaine Tiburske
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Paul Frazee
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Jared Bauman
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"In my decades of experience working with vendors, Statsig is one of the best."
Laura Spencer
Technical Program Manager
"Statsig is a one-stop shop for product, engineering, and data teams to come together."
Duncan Wang
Manager - Data Analytics & Experimentation
"Engineers started to realize: I can measure the magnitude of change in user behavior that happened because of something I did!"
Todd Rudak
Director, Data Science & Product Analytics
"For every feature we launch, Statsig saves us about 3-5 days of extra work."
Rafael Blay
Data Scientist
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Paulo Mann
Senior Product Manager