Customer success analytics

Retain more customers with AI-powered insights

Health scoring, churn prediction, and net revenue retention — all powered by AI and connected to your CRM, product, and support data. No more spreadsheet-based account reviews.

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Quick answer

Basedash gives customer success teams AI-native dashboards for health scoring, churn prediction, net revenue retention, and renewal management — connecting CRM, product, and support data in one platform.

Know your accounts before they tell you

Combine usage, support, and billing signals into dashboards that surface risk and opportunity automatically.

Account health distribution

Healthy 284 accounts

At risk 128 accounts

Critical 78 accounts

Gross retention

98%

Jan Dec

Net revenue retention

118%

Jan Dec

Accounts at risk

Account	ARR	Health	Signal
Acme Corp	$86K	32	Usage down 60%
TechFlow	$64K	41	3 open tickets
DataPrime	$52K	45	No logins in 3 weeks
CloudSync	$48K	48	Key user churned

Expansion ARR

$1.2M

Ask your data, save your accounts

Natural language queries replace the spreadsheet-based account reviews slowing your team down.

Customer health scoring

Combine product usage, support ticket volume, NPS responses, and billing data into a single health score. See which accounts need attention before they signal churn.

"Which enterprise accounts have health scores below 50 and declining usage?"

Churn prediction and prevention

AI surfaces at-risk accounts by correlating usage drops, support escalations, and engagement patterns. Prioritize outreach with data, not gut feel.

"Show accounts most likely to churn in the next 60 days based on usage trends"

Net revenue retention tracking

Track expansion, contraction, and churn at the account level. See NRR trends over time and understand which segments drive growth versus drag.

"What is our NRR by customer segment for the last 4 quarters?"

Renewal pipeline management

Build a renewal dashboard that combines contract dates, usage data, and health scores. Know exactly which renewals are at risk and what to do about it.

"Which accounts renewing next quarter have health scores below 60?"

Ask anything about your business

Get instant answers, uncover important trends, and make confident decisions faster.

Product Show retention by cohort and first-usage month. Marketing What is our blended cost per lead and cost per acquisition by channel? Sales What accounts had the largest expansions this quarter? Sales Which accounts are likely to expand based on recent product activity? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Product Show onboarding conversion rate compared to last month. Marketing What is our CAC? Operations Which tickets are trending by category and time to resolution? Sales Which organizations that have not converted to paid are the most active? Sales Who are the most engaged accounts in the last 14 days? Operations Show customers with at least two visits or repeat usage in the last month. Engineering How many auth configs or connected accounts exist for provider X? Engineering Which services or endpoints have the highest error rates this week? Product Identify the magic moment that predicts long-term engagement. Operations Filter paid organizations and show their current usage details. Engineering Which SDK versions or app versions are most error-prone? Sales List all workspaces with an upcoming renewal in the next month. Sales Which accounts are a churn risk? Product Which features correlate most with conversion to paid? Operations Which customers are running into more bugs recently? Product What is our WAU/MAU and how is it trending? Engineering Fetch IDs created in a given month for a specific provider or integration. 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. Sales What should a sales-facing dashboard include for quick qualification and follow-up? Product Show retention by cohort and first-usage month. Marketing What is our blended cost per lead and cost per acquisition by channel? Sales What accounts had the largest expansions this quarter? Sales Which accounts are likely to expand based on recent product activity? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Product Show onboarding conversion rate compared to last month. Marketing What is our CAC? Operations Which tickets are trending by category and time to resolution? Sales Which organizations that have not converted to paid are the most active? Sales Who are the most engaged accounts in the last 14 days? Operations Show customers with at least two visits or repeat usage in the last month. Engineering How many auth configs or connected accounts exist for provider X? Engineering Which services or endpoints have the highest error rates this week? Product Identify the magic moment that predicts long-term engagement. Operations Filter paid organizations and show their current usage details. Engineering Which SDK versions or app versions are most error-prone? Sales List all workspaces with an upcoming renewal in the next month. Sales Which accounts are a churn risk? Product Which features correlate most with conversion to paid? Operations Which customers are running into more bugs recently? Product What is our WAU/MAU and how is it trending? Engineering Fetch IDs created in a given month for a specific provider or integration. 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. Sales What should a sales-facing dashboard include for quick qualification and follow-up?

Product Are there any features we added recently that increased engagement? Marketing Which campaigns or channels drove the most leads and conversions this month? Marketing How many deals or opportunities are in our current campaign from a specific region? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Operations Give me a table of all new users with their signup source/medium. Sales Which opportunities are stuck beyond the expected stage duration? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Product Which cohorts have the highest week-8 retention? Marketing What should be on a performance dashboard for our account managers? Marketing List Google Ads campaigns and show CPC trends for each. Data & Analytics Show me revenue and subscription growth. Product Did anything else spike when a specific feature usage increased? Engineering Make table links open detailed views in our admin tool. Marketing Which categories or segments contributed the most revenue or transactions? Operations Which customers have open issues tied to performance or reliability? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Sales How many leads are currently close to closing? Operations Surface users who recently hit errors or experienced slow response times. Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Engineering Show recent error logs and users impacted in the last week. Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Product Are there any features we added recently that increased engagement? Marketing Which campaigns or channels drove the most leads and conversions this month? Marketing How many deals or opportunities are in our current campaign from a specific region? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Operations Give me a table of all new users with their signup source/medium. Sales Which opportunities are stuck beyond the expected stage duration? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Product Which cohorts have the highest week-8 retention? Marketing What should be on a performance dashboard for our account managers? Marketing List Google Ads campaigns and show CPC trends for each. Data & Analytics Show me revenue and subscription growth. Product Did anything else spike when a specific feature usage increased? Engineering Make table links open detailed views in our admin tool. Marketing Which categories or segments contributed the most revenue or transactions? Operations Which customers have open issues tied to performance or reliability? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Sales How many leads are currently close to closing? Operations Surface users who recently hit errors or experienced slow response times. Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Engineering Show recent error logs and users impacted in the last week. Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout.

All your data in one place

Connect your own warehouse, or use Basedash Warehouse to visualize all your data in one place.

See all 750+ integrations

Basedash vs traditional CS tools

Why customer success teams are adding AI-native analytics to their stack.

Capability	Basedash	Traditional tools
AI-generated CS dashboards	Yes	No
Customer health scoring	Multi-signal, AI-powered	Manual spreadsheet
Data sources	750+ integrations	CRM + support only
Churn prediction	AI-driven pattern detection	Rule-based or none
Natural language queries	Yes	No
Self-serve for CSMs	No SQL needed	Requires analyst support
Real-time account alerts	Yes	Manual or delayed

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Customer success analytics FAQ

What is business intelligence for customer success?

BI for customer success means having a unified view of customer health, retention metrics, and expansion signals — without depending on spreadsheets or data team tickets. It combines product usage, support data, CRM records, and billing information to give CSMs the insights they need to retain and grow accounts.

How does Basedash calculate customer health scores?

Basedash connects product usage data, support ticket volume, NPS responses, billing patterns, and engagement signals. AI analyzes these signals to generate composite health scores that reflect the real state of each account — not just last-touch activity.

Can Basedash predict which customers will churn?

Yes. Basedash uses AI to identify churn patterns by correlating usage declines, support escalations, engagement drops, and contract signals. It surfaces at-risk accounts early so CSMs can intervene before renewal conversations happen.

What data sources do CS teams typically connect?

CS teams commonly connect Salesforce, HubSpot, Intercom, Zendesk, Stripe, their product database, and more. Basedash supports 750+ integrations, so you can combine any data that impacts customer health into one view.

How fast can our CS team get started?

Most CS teams are running their first health dashboard within 30 minutes. Connect your data sources, describe what you want to track, and Basedash generates the dashboard. No complex setup or data modeling required.

Get started in under 30 minutes

We can help you migrate your data and dashboards from any other tool.

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