Make the right decisions, faster.
Agentic analytics for SaaS teams.
Know what's driving churn, expansion and renewals, and what to do next. Ask in plain language and get answers from your warehouse, with context that's always up to date.
ClarityQ answering a SaaS churn question with an MRR and retention dashboard
ClarityQ already knows what a workspace is, what counts as activation, and why MRR movements never add up on the first try. It joins product events, billing and CRM in one answer, so data, product and revenue teams stop waiting on each other.
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Ask in plain language. Get the answer, the chart, the SQL behind it and what to do next - all tied back to revenue.
6⨯
Data team
productivity gain
3.6h
Saved per single ClarityQ session
1B+
Data rows covered by ClarityQ analyses
<7d
from connection to first trusted answer
ClarityQ answering a SaaS churn question with an MRR and retention dashboard
Built for SaaS.
Made for Imperfect Data.
No ‘clean it first’. ClarityQ is built to work with your messy reality- automatically building & maintaining the semantic and contextual layers your data needs, while identifying, handling and cleaning data issues on the fly
No cleanup, no modeling required
Point ClarityQ at your raw warehouse. It infers schemas, resolves duplicates, handles nulls and conflicting field names - and learns your business naming on the fly.
One question. Every source.
Combine sales + finance, revenue + marketing spend, product + CRM in a single ask. ClarityQ joins across systems automatically.
Asks back when it matters
When there's ambiguity - duplicate metrics, overlapping definitions, missing periods - ClarityQ surfaces choices instead of guessing silently.

Six questions every SaaS team gets asked

- answered without a SQL ticket.

Trial conversion, churn risk, NRR, PQLs, pricing, feature adoption. Each one breaks a generic agent in a different place. Here is where, and how ClarityQ gets through.
You ask:
“Why did trial-to-paid conversion drop for last month's self-serve signups?”
How it works
Why other agents break
Other agents mix up workspace vs. user level, count re-signups as new, and ignore the plan a trial started on.
How ClarityQ resolves it
Aligns signups by workspace and cohort week, separates plan tiers, and isolates exactly which onboarding step lost people.
You ask:
“Which accounts are at risk of churning before renewal, and why?”
How it works
Why other agents break
They read the CRM's churn flag and can't connect it to what the account actually did in the product.
How ClarityQ resolves it
Joins seat usage, feature depth, support tickets and billing events - and ranks accounts by the signals that preceded past churn.
You ask:
“Where is NRR coming from - seat growth, upgrades or price increases?”
How it works
Why other agents break
They can't reconcile billing line items with subscription changes, so expansion and contraction net out wrong.
How ClarityQ resolves it
Decomposes MRR movements by account, plan and change type, and ties each one to the usage that drove it.
You ask:
“Which free accounts behave like our best paying customers?”
How it works
Why other agents break
They can't bridge product events with CRM and billing data to define a product-qualified lead.
How ClarityQ resolves it
Scores accounts on the usage patterns that preceded conversion historically, and pushes the list to sales in Slack or your CRM.
You ask:
“Did the new pricing page lift ARPA without hurting conversion?”
How it works
Why other agents break
They compare before/after averages and miss the mix shift between plans and segments.
How ClarityQ resolves it
Controls for segment mix, reads the experiment assignment, and splits the ARPA change into plan mix vs. price per plan.
You ask:
“Did the new feature drive retention, or did already-retained users just adopt it?”
How it works
Why other agents break
They correlate adoption with retention and call it causation.
How ClarityQ resolves it
Matches adopters to similar non-adopters by tenure, plan and usage, and reports the lift with its confidence.

ClarityQ has been a real game-changer for us! It lets our entire gaming team work with data at scale. We’re querying billions of events and dozens of tables, with in-depth analysis delivered in seconds. It empowers both analysts and game owners with 5× greater efficiency and real data superpowers - saving countless hours of analysis and enabling faster, better decisions.

Guy Tomer

Co-founder & COO, CrazyLabs


ClarityQ became a critical decision layer for us, turning complex behavioral data into clear actions. We identified friction points in our onboarding and loyalty mechanics, which led us to remove low-impact features and focus on real revenue growth.
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Avner Azulay

Director of Product, Zaffic

ClarityQ lets our Marketing and Product teams get answers in minutes instead of hours. We used to juggle Firebase, GA, AdMob, Adjust - now everything lives in one place. Our analysis is easily 10x faster, saving us hours every time. But the real game-changer is the insights we wouldn't have found on our own - things we didn't even know to look for.

Eduardo Carqueja

CEO, Appgeneration


ClarityQ (or "Clara" as we refer to it) functions as a co-pilot analyst providing me and other stakeholders (including users who are resistant to use the standard reporting tools available in the company) with business insights via very friendly and convenient interface and visual outputs.

Mark Shohat

Head of Business Analysis, Spiral Interactive


Thanks to the ClarityQ Agent and strong team support, we found the perfect analysis wingman. It has significantly sped up our deep-dive analyses, is expected to cut analysis time by at least half and has freed up time to focus more on strategic work.
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Marcos del Molino

Data Analyst, Softonic

The SaaS Analytics Agent
Product Usage, Billing and CRM in One Answer
Built for Your Data, Product and Business Teams
AI Agent.
Beyond Manual Barriers.
How it works
Transparent reasoning, SQL and sources behind every answer
Built-in validation engine
Cross-dimensional analysis
Data, visualizations, insights and action plans in one response
NL-created dashboards and automated reports 
Governed, collaborative and role-aware
SaaS workflows built in: activation, account health, renewal prep
How it works
Maps and understands tables, events, metrics, segments and entities across data sources
Dynamic, editable and version-controlled
Learns and adapts through Skills, Memory and Rules
Human-in-the-loop validation when necessary
Syncs with existing context layers
Context catalog
Instant Dashboards and Automations
How it works
Generate full dashboards from a single prompt
Edit and query in natural language
Interactive, filterable and always up to date
Share across teams with governed access
Automated reports to your mailbox or Slack 
Dashboards

All-in Dynamic and Autonomous Semantics

Account Hierarchy Semantics
Understands users, workspaces, accounts and parent companies - and rolls metrics up correctly.
Signup Cohorts
Groups accounts by signup week, plan and channel - then projects retention and expansion curves.
Onboarding Funnels
Understands activation milestones, time-to-value and where trials stall.
Account Segmentation
Splits SMB, mid-market and enterprise by behavior - not just by seat count.
Usage & Health Signals
Correlates feature depth, logins and support load with renewal outcomes.
MRR Movements
Tracks new, expansion, contraction and churn MRR with consistent definitions.
Product + Billing + CRM
Stitches product events with Stripe and Salesforce data for true account-level metrics.
Renewal Readiness
Benchmarks accounts against renewal risk thresholds and flags gaps before the QBR.
Live in DAYS,
not quarters.

Connect your stack

Warehouse, product analytics & BI tooling, read-only, in minutes.

Build the context layer

ClarityQ understands your business context and catalogs metrics, segments and definitions.

Ask, decide, act

Every team gets trusted answers, insights, and recommended actions.

Plugs into your warehouse and your BI 

Native connectors to every major cloud DWH and BI tool. Read-only by default.
Your data never leaves your perimeter.

Read-only
SOC 2 Type II
VPC / private link
Row-level security honored

Data Warehouse

Snowflake logo
Snowflake
BigQuery logo
BigQuery
Redshift logo
Redshift
Databricks logo
Databricks
Postgres logo
Postgres
Amazon Athena logo
Amazon Athena
Azure Synapse Analytics logo
Azure Synapse
ClickHouse logo
ClickHouse

BI and Visualisation

Looker logo
Looker
Tableau logo
Tableau
Power BI logo
Power BI
Metabase

Frequently Asked Questions

Which SaaS metrics can ClarityQ answer questions about?

What data challenges does ClarityQ help solve?

What data sources does ClarityQ support and how does it integrate?

Is ClarityQ secure and compliant with data protection standards?

How is ClarityQ priced?

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