Trial-to-paid conversion by signup source
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Plain-English questions become validated SQL, real charts, and clear next steps — grounded in your data.
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Referral trials convert at 24.7% this quarter — the highest of any source and up 15% from last quarter. Organic search has been climbing steadily and now sits at 18.4%, while paid ads has slipped to 9.2% as new spend chases lower-intent traffic.
The widening gap between referral and paid suggests the team should rebalance acquisition spend toward referral incentives heading into Q3.
Prompts
Every team, every kind of question.
Revenue, retention, ops, marketing — ask the question, get the answer.
How it works
A question in, an answer out.
The fast path from prompt to production-grade analysis your team can act on.
01 Ask
02 Validate
03 Answer
In plain English.
Describe a trend, anomaly, or KPI breakdown the way you'd ask a colleague.
"Which cohorts are most likely to churn this month?"
Schema-grounded SQL.
Basedash plans the query, checks your schema, and resolves errors before running.
SELECT cohort, churn_rate
FROM retention -- schema ✓
Trusted output.
Get the metric, the chart, and a recommended next action — all in one reply.
Accuracy
AI speed, without the guesswork.
Validated SQL, real schemas, and consistent metric definitions across your team.
30×
Lower hallucinations
vs. general-purpose models on real production schemas.
99%
SQL resolution
of queries auto-corrected and validated before running.
20×
Faster setup
than building custom MCP-style workflows from scratch.
AI data analyst FAQ
What is an AI data analyst?
How is an AI data analyst different from ChatGPT or other general AI tools?
Do I need to know SQL to use Basedash?
What data sources can I connect?
Can I create charts and dashboards from the answers?
How does Basedash keep answers accurate?
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