Snowplow Analytics Consulting
Strategy, Implementation, Analysis and Training
We are experts in Snowplow Analytics, providing marketers, product managers, executives and others the answers they need to grow and innovate their business.
We can help you set the cornerstone for a successful analytics program.
Here's how we can help:
Understand stakeholder needs, goals and define a measurement plan.
Infrastructure, data acquisition, tracking, implementation, and quality assurance.
|Training & Support
Train your team to use data/products to inform decision making.
|Analytics & Reporting Dashboards/reports, report automation, analysis and documentation.|
Essential Reads: Snowplow AnalyticsLearn More About Snowplow
- What is Snowplow Analytics?
- How does Snowplow Analytics work?
- How much does Snowplow cost?
- Snowplow Analytics Use Cases
- Who is Using Snowplow Analytics
- Google Analytics 360 vs Snowplow Analytics
Snowplow Analytics Consulting Services
We'll help you collect data that is relevant to your business.
- Proof of Concept
- Stakeholder Requirements
- Tracking Strategy
We'll implement, configure and manage your instance of Snowplow Analytics.
- Implementation and Configuration
- Data Quality Audit
- Snowplow Analytics Managed Service
Have a specific question you need answered? We'll make you look like a rockstar.
- Report Automation
- Data Modeling/Analysis
- Data Visualization
Support & Training
You'll motivate and develop your team with our custom support and training services.
- Ad-Hoc Support
- In-person Training
- Ongoing Training
Snowplow Analytics Use Cases
Use Case #1: Attribution
An organization who wants to define attribution without relying on multiple vendors.
Use Case #2: Integration
An organization looking to segment user behavior/value based in offline/sales/crm data and vice-versa.
Use Case #3: Real-time Analytics
An organization who needs real-time analytics and metrics. E.g. Gaming.
Use Case #4: Agency Ad Tracking
An organization who needs to track ad impressions and clicks.
Use Case #5: Data Ownership
An organization who has the requirement of owning their data on premises.
Use Case #6: Centralized Data Platform
An organization who needs a centralized analytics platform to track all their apps, software and multiple websites.