Growth Navigator provides data-driven growth advisory, analytics, and activation services that turn raw customer data into actionable revenue insights. Their flagship product identifies high‑value audience segments, predicts churn, and delivers next‑best‑action recommendations, feeding continuously refreshed models directly into marketing and sales channels to drive measurable incremental revenue.
Funding
Funding not disclosed
Founders
Product
Problem
CMOs and growth leaders struggle with fragmented first‑party data, loss of click‑level attribution, and marketing spend that is allocated by habit rather than evidence, leading to missed revenue and inefficient budget use.
Solution
Growth Navigator offers an AI‑driven analytics platform that ingests data from POS, CRM, CDP, and ad platforms, then applies probabilistic CLV modeling, Bayesian media‑mix modeling, and causal inference to identify high‑value customer segments and the true incremental impact of each marketing channel. The system continuously refreshes models and delivers next‑best‑action recommendations in real time, which can be fed directly into paid media, CRM, email/SMS, and personalization engines. By quantifying segment‑level value and channel ROI with confidence intervals, marketers can reallocate budgets toward the most profitable drivers and execute cross‑sell or retention campaigns with measurable outcomes. The platform is built on cloud‑native, API‑first architecture with enterprise‑grade security, enabling rapid integration and 24/7 operation.
Target Audience
Primary customers are CMOs, VP of Marketing, performance marketing directors, and marketing operations teams at mid‑market to enterprise companies that rely on first‑party data to drive growth.
Features
- Probabilistic BG/NBD and Gamma‑Gamma models that predict purchase frequency, monetary value, activity probability, and individual CLV with confidence scores
- Bayesian media‑mix modeling with ad‑stock decay, saturation curves, and 95% credible intervals to measure true incremental impact of each channel
- Real‑time next‑best‑action/product recommendations for cross‑sell, upsell, and churn prevention, delivered via API to paid media, CRM, and personalization stacks
- Continuous data pipelines that auto‑ingest, retrain, and validate models, ensuring insights stay current as business conditions change
- Unified optimization dashboard that combines MMM recommendations, underperforming channel alerts, and statistically significant A/B test results into a prioritized action plan
- Cloud‑native, auto‑scaling infrastructure with <200 ms API response, 99.9% SLA uptime, and SOC 2‑compliant encryption and audit logging
- Seamless connectors to 50+ analytics tools and 17 data sources, including Snowflake, BigQuery, POS systems (Toast, Square), CRMs (Salesforce, HubSpot), CDPs, and major ad platforms (Meta, Google, TikTok)