Analytics & Optimization, analyze the past and define the future
Data Strategy
Data integrity is the foundation of any digital analytics program. Without access to reliable data, decisions default to intuition. We use a combination of measurement strategy sessions and data audits to verify that the right metrics are identified and tracked correctly. To ensure your goals are reached, we document business requirements and correlate those metrics with analytics variables in a custom solution design reference. Our experience shows strong analytics foundations facilitate trust in the data, support analytical inferences, and positively influence the outcome.
Measurement Strategy
Define success and measurement across channels
Data + Tool Audit
Evaluate data integrity and tool functionality
Business Requirements
Align business needs with project objectives
Solution Design
Map key metrics to the variables in your analytics solution
Technology Enablement
Strategy and investment in technology will fail to return value to a digital marketing program in the absence of expert implementation and enablement services. Leveraging our historical excellence in technical services, we implement analytics and optimization tools as well as provide guidance on how these tools interact with the rest of your tech stack. Combining technical implementation with data engineering services enable our clients to deliver optimal customer experiences at scale.
Implementation Services
Empower data collection and action across tools
Data Engineering
Optimally store, manage, and surface data
Tool Integration
Ensure tools function optimally within your tech stack
Tag Management
Ensure tools function optimally within your tech stack
Advanced Analytics
We uncover hidden patterns and insights through on-going analysis, dashboards, predictive models, and data visualizations. Utilizing the latest data science techniques, we provide intelligence that informs the digital experience and produces measurable results. Close collaboration with our clients ensures our models are vetted from statistical and business perspectives, resulting in actionable and definitive recommendations.
Analysis & Insights
Provide and spread meaningful insight across the business
Data Science
Algorithmically define audiences, predict behavior, and more
Business Intelligence
Automate dashboards that promote data-driven discovery
Data Visualization
Highlight trends and communicate hidden insights visually
Experience Optimization
Our optimization efforts ensure that the customer experience is informed by data rather than opinion. Testing, personalization, and email campaigns guide user interface features and content as well as improve customer acquisition, engagement, and retention. We use experimental design principles and advanced statistical techniques to properly establish, run, and analyze controlled A/B experiments as well as algorithmically-driven personalization campaigns.
Experimentation
Optimize the presentation layer with A/B and multivariate testing
Personalization
Fine tune content that demands relevancy and measures the results
Craft and deliver the right message to the right audience
The Digital Consumer Experience Company
Blog Series
Key Optimization Strategies
Learn key strategies, tactics, and recommendations on how to optimize the customer journey with human capital and technology.
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White Paper
Amplify the Customer Experience with Analytics
Learn how to amplify the customer experience with analytics.
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Case Study
Too Faced Cosmetics
Using testing to identify opportune areas and improve ROI.
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Let's talk about solutions for the goals, challenges and opportunities your company will encounter in your digital space.