Feature · Data visualization
Data visualization: from events to charts, without SQL.
Build dashboards with funnels, retention, trends, Sankey diagrams and maps. Pick from a menu, or ask your AI assistant for the numbers over MCP.
- 11 chart types
- Custom dashboards
- No SQL required
Sign-ups
Revenue
$8.4K
The basics
What is data visualization?
- 01Track events from your product
- 02Pick a chart and build a report
- 03Add it to a dashboard and share
Tracking events is step one. Turning them into charts and dashboards is where decisions happen.
Without charts, you're reading raw event logs. With them, you can answer questions like:
- Is signup conversion improving this month? → check the funnel or conversion chart
- Are people coming back after week one? → check the retention grid
- Where do people go after the pricing page? → check the Sankey diagram
- Where are my visitors? → check the map
- How is daily usage trending? → check the line chart
- How are values spread out? → check the histogram
Pieowl gives you all of these out of the box. Every chart uses the events you already track. No pipelines, no SQL.
Chart types in Pieowl
- Line, bar and area: plot any event or metric over time, with flexible date ranges
- Metric and pie: one big number, or the share of each value
- Histogram: see how values are spread, not just the average
- Map: see where your visitors are
- Funnel: step-by-step conversion and drop-off
- Retention: who comes back after day 1, week 1 or month 1
- Conversion: goal completion rate over time, by group
- Sankey: the paths people take through your product
Combine reports into dashboards, share them with your team or by link, and check them every day. Just need a number? Ask your AI assistant over MCP, for example "How many signups came from each country last month?", and it answers from your Pieowl data.
Data visualization on every plan
Charts and dashboards for real questions
Each chart type answers a specific question. Pick the right one and get the answer in seconds.
Funnels
Show multi-step conversion. See drop-off at each step, compare groups, and find where people quit signup or checkout.
Retention
Measure how many people return by day, week or month. See return rates for each cohort.
Conversion charts
Track goal completion rates over time. Compare conversion across campaigns, devices or plans.
Sankey diagrams
Show user journeys as flows. See where people go next, where paths split and where they leave.
Maps
See your visitors on a world map. Understand where you have users and how behavior differs by region.
Line, bar and area charts
Plot any event or metric over time. Track trends, spot spikes and compare with the previous period.
Histograms
See the spread of a number, like session length or order value. Understand the shape of your data, not just the average.
Custom dashboards
Combine any reports into dashboards. Arrange them how you like and pin the numbers your team checks every day.
Set up
How data visualization works
From raw events to a shared dashboard in three steps.
- 1
Track events from your product
Send events with an SDK or the API. Page views, signups, purchases and feature use all become data you can chart.
- 2
Pick a chart and build a report
Choose a chart type, select your events, add filters and breakdowns, and see the result right away. Or ask your AI assistant for the numbers over MCP.
- 3
Add it to a dashboard and share
Save reports to dashboards your team can open. Share a dashboard or a single report by link, with an optional password.
Use cases
Who uses analytics dashboards
Anyone who needs to turn product data into action.
Product teams
Build dashboards with funnels, retention and conversion charts to follow feature launches and check whether changes worked.
Growth teams and marketers
Use Sankey diagrams to map journeys, funnels to improve conversion, and line charts to measure campaign impact.
Founders
Keep one dashboard with the numbers that matter: active users, conversion, retention and revenue. Check it once a day.
Engineers
Use histograms and line charts to watch event volume and spot unusual spikes after a release.
FAQ
Frequently asked questions
Common questions about charts and dashboards in Pieowl.
What chart types does Pieowl support?
Line, bar, area, pie, metric, histogram, map, funnel, retention, conversion and Sankey. Every chart type is on every plan.
Do I need to write SQL to build charts?
No. You build reports by picking events, filters and a chart type. You can also ask your AI assistant, like Claude or Cursor, and it gets the numbers from Pieowl over MCP.
Can I share dashboards with my team?
Yes. Team members with access to the site can open your dashboards. You can also share a dashboard or a single report by link, with an optional password, for people outside your team.
What is a Sankey diagram?
A Sankey diagram shows how people move through your product. Each path is drawn as a flow between steps, so you can see common journeys, unexpected turns and exit points at a glance.
Can I use retention and funnel charts together?
Yes. Use funnels to find where people drop off and retention to see whether the people who convert come back. Put both on one dashboard for a full picture of activation and engagement.
Your first dashboard in five minutes.
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