Digital Analytics Strategy
Careful planning sets your data initiatives up for success in the short and long-term.
Detailed review of your data collection practices reveals existing issues, enhancement opportunities, and best practice recommendations.
Design of the tools, schema, and resources needed to feed the data points that matter to all parts of your business.
Tag & Pixel Implementation
Google Tag Manager, data warehouse, and customer data platform development ensure the highest-quality data collection.
GA4, Enhanced Ecommerce, custom events, and cross-domain tracking ensure you have the best data available.
Conversion tracking and attribution for 3rd-party marketing platforms, such as Google Ads, Facebook, Tik Tok, LinkedIn, and more.
Server Side Tracking
Industry-leading approach avoids browser limitations to collect the best data possible, improve site performance, and enhance security.
Data warehouse solutions enhance reporting capabilities by unifying your marketing platforms and extending the lifespan of your data.
Data Insights & Dashboards
Understand the critical touchpoints that lead your customers to conversion.
Timely insights help you get more out of your website and marketing campaigns.
Centralized marketing dashboards in Google Data Studio make monitoring and analyzing all your digital properties fast and easy.
Customer Journey & Cohort Exploration
Unique reports illuminate the fine-grained details of who your customers are, and how they make decisions.
Conversion Optimization & A/B Testing
Drive web and marketing success by finding out what strategies make a difference.
A/B Test Strategy & Setup
Identify optimization opportunities, create hypotheses, and design experiments to test them. Support Google Optimize, VWO, Optimizely and other testing software.
Split Testing Result Analysis
Advanced statistical modeling provides confidence that you're making the right decisions.
Advanced Data Science
Take your data practices to the next level with artificial intelligence and machine learning.
Advise on opportunities to deploy ML-powered solutions to collect and leverage data to enable accurate prediction, recommendations, forecasts, etc.
Build a smoothly functioning data science solution tailored to your unique business needs.
Get more out of your data science solution by overcoming noise, dirty data, inaccurate predictions, and other common problems.