Trial-to-paid conversion by signup source
24.7% +15%
(21.5%)
Referral 18.4% +14%
(16.1%)
Organic 9.2% -13%
(10.6%)
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Chat / Trial-to-paid by signup source ···
Which signup sources convert trials to paid most efficiently this quarter? Compare weekly conversion rates across the top three channels.
26 steps
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.
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Prompts
Every team, every kind of question.
Revenue, retention, ops, marketing — ask the question, get the answer.
Sales Who are the most engaged accounts in the last 14 days? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Operations Surface users who recently hit errors or experienced slow response times. Operations Which customers have open issues tied to performance or reliability? Product Which cohorts have the highest week-8 retention? Engineering Make table links open detailed views in our admin tool. Marketing Which categories or segments contributed the most revenue or transactions? Engineering How many auth configs or connected accounts exist for provider X? Sales Which accounts are likely to expand based on recent product activity? Sales Which opportunities are stuck beyond the expected stage duration? Marketing List Google Ads campaigns and show CPC trends for each. Product Did anything else spike when a specific feature usage increased? Product Show retention by cohort and first-usage month. Marketing What is our CAC? Product Show onboarding conversion rate compared to last month. Marketing What is our blended cost per lead and cost per acquisition by channel? Marketing Which campaigns or channels drove the most leads and conversions this month? Engineering What are the most common errors this month, and what endpoints are causing them? Engineering Find domains or metadata for a list of organizations from builder records. Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Marketing How many deals or opportunities are in our current campaign from a specific region? Operations Show customers with at least two visits or repeat usage in the last month. Sales What accounts had the largest expansions this quarter? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Engineering Which SDK versions or app versions are most error-prone? Sales Who are the most engaged accounts in the last 14 days? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Operations Surface users who recently hit errors or experienced slow response times. Operations Which customers have open issues tied to performance or reliability? Product Which cohorts have the highest week-8 retention? Engineering Make table links open detailed views in our admin tool. Marketing Which categories or segments contributed the most revenue or transactions? Engineering How many auth configs or connected accounts exist for provider X? Sales Which accounts are likely to expand based on recent product activity? Sales Which opportunities are stuck beyond the expected stage duration? Marketing List Google Ads campaigns and show CPC trends for each. Product Did anything else spike when a specific feature usage increased? Product Show retention by cohort and first-usage month. Marketing What is our CAC? Product Show onboarding conversion rate compared to last month. Marketing What is our blended cost per lead and cost per acquisition by channel? Marketing Which campaigns or channels drove the most leads and conversions this month? Engineering What are the most common errors this month, and what endpoints are causing them? Engineering Find domains or metadata for a list of organizations from builder records. Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Marketing How many deals or opportunities are in our current campaign from a specific region? Operations Show customers with at least two visits or repeat usage in the last month. Sales What accounts had the largest expansions this quarter? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Engineering Which SDK versions or app versions are most error-prone?
Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Operations Which customers are running into more bugs recently? Sales List all workspaces with an upcoming renewal in the next month. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Engineering Fetch IDs created in a given month for a specific provider or integration. Product Which features correlate most with conversion to paid? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Sales How many leads are currently close to closing? Engineering Which services or endpoints have the highest error rates this week? Operations Which tickets are trending by category and time to resolution? Product Are there any features we added recently that increased engagement? Marketing What should be on a performance dashboard for our account managers? Product What is our WAU/MAU and how is it trending? Sales Which accounts are a churn risk? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Operations Filter paid organizations and show their current usage details. Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Engineering Show recent error logs and users impacted in the last week. Marketing Which geographies are performing best this quarter by pipeline and closed-won? Data & Analytics Show me revenue and subscription growth. Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Product Identify the magic moment that predicts long-term engagement. Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Operations Give me a table of all new users with their signup source/medium. Sales Which organizations that have not converted to paid are the most active? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Operations Which customers are running into more bugs recently? Sales List all workspaces with an upcoming renewal in the next month. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Engineering Fetch IDs created in a given month for a specific provider or integration. Product Which features correlate most with conversion to paid? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Sales How many leads are currently close to closing? Engineering Which services or endpoints have the highest error rates this week? Operations Which tickets are trending by category and time to resolution? Product Are there any features we added recently that increased engagement? Marketing What should be on a performance dashboard for our account managers? Product What is our WAU/MAU and how is it trending? Sales Which accounts are a churn risk? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Operations Filter paid organizations and show their current usage details. Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Engineering Show recent error logs and users impacted in the last week. Marketing Which geographies are performing best this quarter by pipeline and closed-won? Data & Analytics Show me revenue and subscription growth. Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Product Identify the magic moment that predicts long-term engagement. Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Operations Give me a table of all new users with their signup source/medium. Sales Which organizations that have not converted to paid are the most active?
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.
Slack
Your analyst, in Slack.
Mention @Basedash in any channel and get the answer — and the chart — in the thread. Now in the official Slack Marketplace.
# revenue ·
24
M
Max 9:42 AM
@Basedash how's our revenue trending this month so far?
Basedash APP 9:43 AM
Revenue is pacing 18% ahead of last month — $412K MTD vs $349K at this point in May. Most of the lift comes from three enterprise deals that closed last week.
Revenue — June MTD
+18.2%
Open in Basedash
📈 4 🔥 2
Charts, embedded in the reply
Trend questions come back with the chart as an image, right in the thread.
Native thinking UI
Slack shows Basedash is thinking from the moment you send the message.
Automations and insights too
Scheduled reports and surfaced anomalies post to your channels, charts included.
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?
An AI data analyst is software that understands your business data and answers questions about it in plain English. Instead of writing SQL or building dashboards manually, you describe what you want to know and the AI figures out how to query your data and present the answer. Basedash is purpose-built for this — it connects to your databases and warehouses, generates validated queries, and returns trustworthy results.
How is an AI data analyst different from ChatGPT or other general AI tools?
General AI tools don't have access to your actual data, so they can only guess or work with whatever you paste in. Basedash connects directly to your databases and data warehouses, understands your schema, and generates real SQL queries against your live data. It also validates queries before running them and retries when something goes wrong, which means far fewer errors and hallucinations.
Do I need to know SQL to use Basedash?
No. Basedash is designed so anyone on your team — product, marketing, sales, finance, operations — can ask questions in everyday language. The AI handles the SQL generation, validation, and execution behind the scenes. If you do know SQL, you can always view and edit the generated queries.
What data sources can I connect?
Basedash supports direct connections to PostgreSQL, MySQL, SQL Server, and other major databases, as well as warehouses like BigQuery, Snowflake, and Redshift. You can also use Fivetran through Basedash to sync data from SaaS tools like Stripe, HubSpot, and Salesforce into a managed warehouse.
Can I create charts and dashboards from the answers?
Yes. When you ask a question, Basedash can return the answer as a chart, table, or summary. You can iterate with follow-up prompts to adjust the visualization, change filters or time ranges, and then save the result directly to a dashboard.
How does Basedash keep answers accurate?
Basedash grounds every response in your real schema and data. It validates generated SQL before execution, automatically retries and corrects errors, and uses shared metric definitions so answers stay consistent across your team. This is fundamentally different from general AI tools that have no way to verify what they produce.
Can I use the AI data analyst in Slack?
Yes. Basedash is available in the official Slack Marketplace. Mention @Basedash in any channel or DM, ask your question in plain English, and the agent queries your connected data sources and replies in the thread with a written answer and an embedded chart image. Follow-ups keep context, automations and insights can post to your channels, and row-level security applies based on who's asking.
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