Analytics & Visualization
The metrics that actually run your business.
We build custom analytics tools and dashboards that surface the numbers that matter — not generic out-of-the-box charts, but views designed around how your business actually makes decisions.
0 min
Weekly reporting time
< 4h
Data freshness
6+
Dashboards per engagement
// what_it_is
What is Analytics & Dashboards?
A dashboard is only as useful as the data behind it and the decisions it enables. Most off-the-shelf analytics tools show you activity — page views, sessions, transactions. We build tools that show you the metrics that actually drive growth: margin, LTV, CAC, churn, and the leading indicators that precede them.
// the_problem
Does this sound familiar?
You're running on gut feel or spreadsheets. Important decisions are made without data because the right numbers aren't accessible in real time.
Generic tools show the wrong metrics. Your analytics platform shows sessions and bounce rate. You need to see margin per SKU and LTV by acquisition channel.
Reports are manual and always late. Someone spends Friday afternoon pulling numbers from four platforms. By the time it's ready, the week is over.
Your team can't self-serve answers. Every data question goes to the one person who knows SQL. That bottleneck slows everyone down.
// what_we_build
What we deliver
01
Executive dashboards
A single view of your most important KPIs — revenue, margin, growth rate, and the leading indicators your leadership team needs daily.
02
Marketing performance dashboards
Blended CAC, ROAS by channel, spend pacing vs. budget — updated hourly, not weekly.
03
Customer analytics
LTV by cohort, churn rate, repeat purchase rate, and NPS — understanding which customers are actually valuable.
04
Product & operational metrics
Error rates, fulfillment times, SLA compliance, capacity utilization — whatever moves the needle in your operations.
05
Automated reporting
Weekly email summaries, Slack alerts on anomalies, and scheduled PDF exports — so the data finds you, not the other way around.
// how_it_works
How we work
1
Define what decisions need to be made
We start by understanding what questions your team needs to answer — not what data you have.
2
Map the data to those decisions
We identify which sources contain the right data and what transformations turn raw data into decision-ready metrics.
3
Build the semantic layer
Metrics defined in dbt or SQL — consistent, tested, and trusted across every view.
4
Build and deploy the dashboard
Custom views in Metabase, Looker, or a bespoke React dashboard — whichever fits your team's workflow best.
// tech_stack
Technology we use
Visualization
Metabase / Looker
Semantic layer
dbt
Data layer
PostgreSQL / Supabase
Alerts
Slack / Email
Backend
Python
Hosting
Vercel / AWS
// related_work