A Snowflake-native Vitally alternative for User Journey

What is Vitally?

Vitally provides visibility into the customer lifecycle, but its "journey" mapping is often disconnected from the full context of your Snowflake warehouse. Because it relies on external syncs, you're only seeing a simplified, delayed version of how your customers are actually interacting with your platform.

Why Legacy Tools Like Vitally Fail Modern Data Teams

The Cost of Sampling: To keep performance high, many analytics and CS tools sample your data. This means you miss the granular, specific paths of your most valuable VIP accounts—the very journeys you need to understand.
"Happy Path" Funnels: Legacy tools force you into pre-defined funnels. They fail to reveal the unintended paths and workarounds users take, which are often the best indicators for onboarding automation opportunities.
Data Lock-in: Journey data is trapped in a proprietary UI. You can't join it with your support tickets, billing history, or marketing touchpoints to see the full customer story.

The Warehouse-Native Architecture

By using a headless approach, you keep your data in Snowflake and use an intelligence layer to generate signals.

Technical Comparison: Manual SQL vs. Vitally vs. GrowthCues

To track User Journey effectively, you usually have three options:

1. The Legacy Way (Vitally)

Import data, wait for syncs, and use their internal UI to build rules. Expensive, siloed, and slow.

2. The Manual Way (Snowflake SQL)

Write and maintain custom SQL to identify User Journey patterns.

/* Typical Snowflake logic for User Journey */
SELECT
    account_id,
    SUM(intensity) as activity_level
FROM snowflake_analytics_schema.fact_usage
GROUP BY 1
HAVING SUM(intensity) < 10;

3. The GrowthCues Way (Headless Intelligence)

GrowthCues connects to Snowflake and automates the discovery of user journeys without manual SQL. It uses AI-driven persona discovery to help you understand not just what users are doing, but who they are based on their behavioral patterns.

Why GrowthCues is the Best Vitally Alternative for Snowflake

Full Data Granularity: Analyze every single event in Snowflake to map precise journeys for every account.
Dynamic Discovery: Go beyond fixed funnels to find the real paths to value that your users are creating.
Warehouse-First Integration: Easily join your journey insights with any other table in Snowflake for a 360-degree view of your customer health.

Deep Dive: Mapping the Journey

Stop guessing. Learn how to Discover User Roles with AI to understand the real journeys your customers take.

Ditch the silo and start building on your own foundation.

Join the Technical Preview