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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Revenue, retention, ops, marketing — ask the question, get the answer.
Product Show onboarding conversion rate compared to last month. Marketing Which categories or segments contributed the most revenue or transactions? Engineering What are the most common errors this month, and what endpoints are causing them? Operations Surface users who recently hit errors or experienced slow response times. Product Identify the magic moment that predicts long-term engagement. Marketing Which geographies are performing best this quarter by pipeline and closed-won? Engineering Find domains or metadata for a list of organizations from builder records. Sales Who are the most engaged accounts in the last 14 days? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Engineering Which services or endpoints have the highest error rates this week? Marketing List Google Ads campaigns and show CPC trends for each. Operations Show customers with at least two visits or repeat usage in the last month. Operations Give me a table of all new users with their signup source/medium. Engineering How many auth configs or connected accounts exist for provider X? Product Which cohorts have the highest week-8 retention? Engineering Make table links open detailed views in our admin tool. Sales What should a sales-facing dashboard include for quick qualification and follow-up? Marketing What should be on a performance dashboard for our account managers? Sales What accounts had the largest expansions this quarter? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Sales Which accounts are likely to expand based on recent product activity? Sales How many leads are currently close to closing? Product What is our WAU/MAU and how is it trending? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing Which campaigns or channels drove the most leads and conversions this month? Product Show onboarding conversion rate compared to last month. Marketing Which categories or segments contributed the most revenue or transactions? Engineering What are the most common errors this month, and what endpoints are causing them? Operations Surface users who recently hit errors or experienced slow response times. Product Identify the magic moment that predicts long-term engagement. Marketing Which geographies are performing best this quarter by pipeline and closed-won? Engineering Find domains or metadata for a list of organizations from builder records. Sales Who are the most engaged accounts in the last 14 days? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Engineering Which services or endpoints have the highest error rates this week? Marketing List Google Ads campaigns and show CPC trends for each. Operations Show customers with at least two visits or repeat usage in the last month. Operations Give me a table of all new users with their signup source/medium. Engineering How many auth configs or connected accounts exist for provider X? Product Which cohorts have the highest week-8 retention? Engineering Make table links open detailed views in our admin tool. Sales What should a sales-facing dashboard include for quick qualification and follow-up? Marketing What should be on a performance dashboard for our account managers? Sales What accounts had the largest expansions this quarter? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Sales Which accounts are likely to expand based on recent product activity? Sales How many leads are currently close to closing? Product What is our WAU/MAU and how is it trending? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing Which campaigns or channels drove the most leads and conversions this month?
Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Data & Analytics Trend key KPIs over time and flag abnormal spikes. Data & Analytics Show me revenue and subscription growth. Sales Which opportunities are stuck beyond the expected stage duration? Sales List all workspaces with an upcoming renewal in the next month. Operations Which customers have open issues tied to performance or reliability? Product Are there any features we added recently that increased engagement? Operations Which tickets are trending by category and time to resolution? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Product Show retention by cohort and first-usage month. Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Sales Which accounts are a churn risk? Product Which features correlate most with conversion to paid? Marketing What is our blended cost per lead and cost per acquisition by channel? Engineering Which SDK versions or app versions are most error-prone? Operations Which customers are running into more bugs recently? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Sales Which organizations that have not converted to paid are the most active? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Product Did anything else spike when a specific feature usage increased? Marketing What is our CAC? Engineering Fetch IDs created in a given month for a specific provider or integration. Marketing How many deals or opportunities are in our current campaign from a specific region? Engineering Show recent error logs and users impacted in the last week. Operations Filter paid organizations and show their current usage details. Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Data & Analytics Trend key KPIs over time and flag abnormal spikes. Data & Analytics Show me revenue and subscription growth. Sales Which opportunities are stuck beyond the expected stage duration? Sales List all workspaces with an upcoming renewal in the next month. Operations Which customers have open issues tied to performance or reliability? Product Are there any features we added recently that increased engagement? Operations Which tickets are trending by category and time to resolution? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Product Show retention by cohort and first-usage month. Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Sales Which accounts are a churn risk? Product Which features correlate most with conversion to paid? Marketing What is our blended cost per lead and cost per acquisition by channel? Engineering Which SDK versions or app versions are most error-prone? Operations Which customers are running into more bugs recently? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Sales Which organizations that have not converted to paid are the most active? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Product Did anything else spike when a specific feature usage increased? Marketing What is our CAC? Engineering Fetch IDs created in a given month for a specific provider or integration. Marketing How many deals or opportunities are in our current campaign from a specific region? Engineering Show recent error logs and users impacted in the last week. Operations Filter paid organizations and show their current usage details.
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Describe a trend, anomaly, or KPI breakdown the way you'd ask a colleague.
"Which cohorts are most likely to churn this month?"
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SELECT cohort, churn_rate
FROM retention -- schema ✓
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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.
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