Analytics Your SaaS Customers Will Actually Use

Knowi offers three embedding methods: simple URL embed for internal portals, AES-encrypted URL embed for secure multi-tenant SaaS delivery, and a JavaScript SDK for full programmatic control including SSO pass-through. All methods support white-labeling (remove Knowi branding, inject your CSS) and row-level security so each customer only sees their own data. Most teams embed their first dashboard in under a week.

Knowi connects directly to your product database (MongoDB, PostgreSQL, MySQL, or any SQL/NoSQL source) and lets you build dashboards that track feature usage frequency, adoption curves, user engagement depth, and session patterns. You can join product event data with billing and CRM data in a single query to correlate feature adoption with retention and expansion revenue — without exporting to a warehouse first.

Yes. Knowi includes built-in machine learning models you can apply directly to your product usage and billing data. You can build churn risk scores based on login frequency, feature engagement, support ticket volume, and payment patterns. Set automated alerts via Slack, email, or webhook when high-value accounts show declining usage, so your CS team can intervene before the customer cancels.

Knowi connects directly to your billing system (Stripe, Chargebee, or your own database) and lets you build real-time MRR/ARR dashboards that break down revenue by plan tier, cohort, and expansion vs. contraction. You can join billing data with product usage data to track metrics like revenue per feature, net revenue retention, and trial-to-paid conversion rates — all without a data warehouse or manual CSV exports.

Yes. Knowi is one of the few analytics platforms that natively queries both SQL and NoSQL databases and joins the results at query time. You can combine MongoDB product event data with PostgreSQL billing records, Elasticsearch logs, and REST API data from tools like Salesforce or HubSpot — all in a single query. No ETL pipeline, no data warehouse, no schema mapping required.

Knowi lets you join your signup, product usage, and billing data to build conversion funnel dashboards. Track trial activation rates, time-to-first-value, feature usage during trial, and conversion by acquisition source or plan tier. Built-in cohort analysis shows how conversion rates trend over time, and you can set alerts when trial engagement drops below thresholds that historically predict low conversion.

Tableau and Power BI were built for internal BI, not customer-facing embedded analytics. Embedding Tableau requires Tableau Server or Tableau Cloud at significant per-user cost, and Power BI Embedded charges per render or capacity unit. Knowi was purpose-built for embedded analytics: it includes native multi-tenant row-level security, full white-label support, and direct NoSQL connectivity (MongoDB, Elasticsearch, Cassandra) out of the box. Knowi also joins across SQL and NoSQL sources in a single query without ETL, which neither Tableau nor Power BI can do natively.

No. Knowi's embedded dashboards include interactive filters, drill-downs, and a natural language search bar where your customers type questions in plain English and get instant visualizations. You can also configure which features are exposed per user role, so power users get full exploration while casual users see simplified views. No SQL or technical training is required for end users.

Most teams embed their first production dashboard in 4-5 weeks. The typical process is: connect your data sources (day one), build and test dashboard templates (week one to two), configure multi-tenant security and white-labeling (week two to three), and deploy to production (week four to five). Knowi's solution engineering team works with you through the entire process. Simple proof-of-concept embeds often go live in days.