NA-AI Analytics

NA-AI AnalyticsAnalyze, automate, and predict every key metric in one AI-native workspace.

NA-AI Analytics connects to your product, revenue, and marketing stack, then uses AI to explore your data, surface anomalies, generate reports, and suggest next best actions — without writing a single query.

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Ask questions in natural language and get charts, summaries, and suggested actions in seconds.Automated reports, anomaly alerts, forecasting, and scenario planning for your whole team.
app.na-ai.analytics
Screenshot of the NA-AI Analytics dashboard with AI insights, charts, and KPI cards.

NA-AI · Product & Revenue Insights

See the real impact of every product and revenue decision.

NA-AI turns raw product, revenue and marketing events into AI-ready insights your teams can trust — so PM, Growth and RevOps can move faster without juggling dashboards or writing SQL.

AI coverage0%Full AI-native

AI-native analytics, out of the box

NA-AI ingests your product and revenue events (Snowplow, Segment, RudderStack, custom…) and normalizes them into AI-ready entities — so every team can ask questions, run analyses and get narratives without ever touching SQL.

AI-native adoption0%
Time-to-insight
-72%
SQL needed
0 lines
AI-native analytics

Secure by design

Role-based access control, PII masking and real-time audit logs are built directly into the core of NA-AI — so your analytics stay fast without sacrificing security.

Key security and governance capabilities
  • Granular access by role, workspace and product scope (advanced RBAC).
  • Sensitive fields pseudonymized by default (PII, tokens, internal IDs).
  • Detailed audit trail on every access, export and shared insight.
Daily net revenue · all products+5.8% vs last month

Average net revenue

$48,230 / day

30-day rolling average · healthy and sustained growth.

Revenue growth+12.4% MRR

Growth driven by annual plans and improved onboarding.

Average daily net revenue$48k/day

Consolidated across products and segments (B2B & B2C).

Ask NA-AI follow-up questions directly from this view — no extra dashboard needed.

Revenue split · desktop vs mobile

Revenue by platform

Last 51 days · daily revenue index, normalized.

52% of indexed revenue on desktop · 48% on mobile over the last 51 days.

Track monetization signals, channel volume and high-yield segments across desktop and mobile – in a single, AI-ready chart that works out of the box in your dashboard.

Desktop
Mobile
Desktop vs mobile · production-ready chart layout for SaaS dashboards.

Daily revenue index (normalized). Hover any bar to inspect a specific day and platform.

Product, Growth and RevOps teams use this view in weekly revenue reviews to spot platform shifts, correlate launches with usage and refine acquisition or pricing experiments.

Global revenue by country

Last 28 days

NA-AI combines product usage and billing data to highlight where your MRR is accelerating, which markets deserve a dedicated expansion playbook, and where to focus Sales & Success.

Ranked list of countries by recent net revenue change and amount
  • United States+27.4% vs last month · net revenue
    +$1,999.00
  • Japan+22.3% vs last month · net revenue
    +$720.00
  • Germany+19.8% vs last month · net revenue
    +$540.00
  • China+17.1% vs last month · net revenue
    +$460.00
  • France+15.2% vs last month · net revenue
    +$410.00
  • United Kingdom+11.4% vs last month · net revenue
    +$310.00
  • Switzerland+9.3% vs last month · net revenue
    +$260.00
  • Canada+7.8% vs last month · net revenue
    +$210.00
  • Italy+5.8% vs last month · net revenue
    +$160.00

Integrations · data, revenue & collaboration

Connect NA-AI to the stack you already use.

NA-AI Analytics plugs into your data warehouse, billing tools and product analytics to generate trusted, actionable insights — without rebuilding your stack from scratch.

Data warehouseWhere your product & customer events already live.
BigQuerySnowflakeRedshiftPostgres
Billing & revenueConnect your revenue engine to track MRR, churn and expansion.
StripePaddleChargebee
Product & marketing analyticsUnderstand who activates, who retains and which channels actually convert.
SegmentMixpanelAmplitudeGA4
CollaborationShip insights where your teams already work — async, searchable and shareable.
SlackNotionTeamsEmail reports

The integrations shown (BigQuery, Snowflake, Stripe, Segment, Mixpanel, Amplitude, Slack, Notion, etc.) are realistic examples for the template. Replace, extend or rename them to match your own stack in minutes.

Pricing · NA-AI Analytics

Pricing that scales with your product.

Start in minutes, then let NA-AI Analytics grow with your MRR, team and data stack — without long-term contracts or painful implementations.

Need more details? .

Starter

0/mo

For small product teams that want to start using AI on their core metrics without rebuilding their data stack.

Start with Starter
  • Connect up to 3 data sources (product, CRM, billing).
  • AI-powered baseline dashboards (usage, retention, MRR).
  • Weekly auto-generated reports sent to your inbox.
  • Email alerts on the most important anomalies.

Growth

Most popular
0/mo

For growing SaaS teams that need advanced analysis, intelligent alerts and forecasting across the full funnel.

Start free trial
  • Everything in Starter.
  • Multi-dimensional anomaly detection with AI explanations.
  • Scheduled reports for Product, Marketing and Leadership.
  • MRR, activation and churn forecasting with scenarios.
  • AI playbooks to turn insights into concrete actions.

Enterprise

Let's talk

For data-driven organizations that want to connect all teams and systems to NA-AI with full governance.

Talk to sales
  • Advanced connections (warehouse, data lake, custom CRM).
  • Workspaces per team with governance and granular permissions.
  • SLAs, dedicated onboarding and hands-on data support.
  • Exports into your existing stack (Slack, Notion, BI tools, etc.).

Free trial, then monthly or annual billing. Cancel anytime. Enterprise pricing is tailored to your stack, data volume and security requirements.

Compare plans side by side.

Choose the level that matches your product maturity and data stack. You can upgrade or downgrade between plans at any time.

Detailed comparison of NA-AI Analytics pricing plans by feature and plan level.
FeaturesStarterGrowthEnterprise
Core analytics
AI-powered dashboardsHigh-level view of your key product and revenue metrics.
Natural language questionsAsk questions without SQL or complex filters.
Custom metrics & segments
BasicAdvancedFull
Automation & alerts
Scheduled reports
WeeklyDaily + weeklyCustom
Anomaly detection & alertsConversion drops, churn spikes and other critical anomalies.
AI playbooks out of the boxActionable recommendations generated from your insights.
Forecasting & scenarios
Revenue & MRR forecasting
Scenario planning (pricing, churn, acquisition)
StandardAdvanced
Collaboration & governance
Multi-workspace (Product, Growth, Leadership)
Role-based access control
BasicAdvancedEnterprise-grade
SLAs, onboarding & dedicated support

Start on Starter to validate NA-AI’s AI capabilities, then move to Growth or Enterprise as your data volume and automation needs increase.

Customer stories

Trusted by product, growth and data leaders

Teams rely on NA-AI to detect anomalies, stay aligned on metrics and turn complex data into confident decisions — without overloading the data team.

Portrait of Albert Grayson, VP Product at NovaFlow
“NA-AI automatically flags critical anomalies in our funnels. We win days on key decisions and save dozens of hours of manual analysis every month.”
4.9/5 across product & data teams

Albert Grayson

VP Product, NovaFlow

Portrait of Ana Becker, Head of Growth at MetricLoop
“The experience feels effortless: instant dashboards, natural-language AI insights and alerts only when something truly moves the needle on revenue.”
4.9/5 across product & data teams

Ana Becker

Head of Growth, MetricLoop

Portrait of David Laurent, Director of Analytics at Northline
“With NA-AI, our non-technical teams ask questions in plain English and get reliable answers without pinging the data team all day long.”
4.9/5 across product & data teams

David Laurent

Director of Analytics, Northline

Portrait of Lina Mensah, Head of Data Engineering at SkyMetrics
“Our data workloads have been cut in half and internal adoption has exploded thanks to NA-AI’s automated insights and proactive alerting.”
4.9/5 across product & data teams

Lina Mensah

Head of Data Engineering, SkyMetrics

Portrait of Paul Jefferson, CPO at Brightlane
“NA-AI has become our intelligence layer on top of the data warehouse. We shortened our product decision cycles by several weeks.”
4.9/5 across product & data teams

Paul Jefferson

CPO, Brightlane

Portrait of Francesca Romano, VP Data Strategy at Quantivia
“We replaced weeks of manual analysis with an almost instant workflow powered by NA-AI, from the executive committee down to field teams.”
4.9/5 across product & data teams

Francesca Romano

VP Data Strategy, Quantivia

FAQ · NA-AI Analytics

Questions about AI, data and security?

Learn how NA-AI connects to your stack, keeps your data secure and makes insights explainable for both product and data teams.

Yes. NA-AI Analytics acts as an intelligence layer on top of your existing data, not as a separate data warehouse. Access is role-based, all connections use encrypted channels (TLS), and every access is logged for auditability. In production, you can restrict permissions by team, data source or environment (staging / production).
NA-AI can run as a managed cloud service or close to your existing data warehouse. In both cases, it avoids duplicating raw business data whenever possible: it works primarily from the aggregated metrics needed for analysis, with options to exclude specific tables or sensitive columns entirely. Region-specific setups (such as EU-only) can be configured to meet your compliance requirements.
NA-AI connects through standard, production-ready integrations: data warehouses (BigQuery, Snowflake, Redshift, Postgres), billing tools (Stripe, Paddle, Chargebee), CRM, and product / marketing analytics. You can start with a minimal setup — for example Stripe plus your product Postgres database — and then progressively enrich your workspace as you go without a long, heavy integration project.
No. NA-AI does not replace your data team or your existing BI stack. It acts as a copilot for product, growth and leadership teams: asking questions in natural language, surfacing anomalies, generating summaries and scenario analyses. Your data team keeps ownership of the data model and can configure dedicated views or semantic layers tailored to NA-AI if needed.
Insights are generated from your real data using statistical and AI models tuned to your own history. NA-AI highlights the assumptions behind each forecast, surfaces uncertainty levels and makes it easy to compare multiple scenarios. You can always drill down into the underlying metrics, adjust model parameters or restrict which signals are used in forecasts.
Yes. You can create workspaces by team (Product, Growth, Leadership, Success, Support, etc.) with different levels of access: read-only, full access, or restricted visibility on specific segments or sensitive KPIs. The goal is to give everyone the right level of context without exposing every detail of your data to every user.

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Talk to sales

Let’s talk about NA-AI Analytics for your team.

Tell us about your stack, your core metrics and your product or revenue goals. We will come back with a tailored demo and a clear next step.

What do you want to achieve with NA-AI?

We typically reply within 1–2 business days. No marketing spam — ever.