E-commerce and retail move fast. Are you keeping up by fully leveraging the power of your data? At Segment360, we don't waste time on vanity metrics—we focus on the insights that actually grow your bottom line: reducing cart abandonment, boosting average order value, and uncovering hidden growth opportunities. Our proven framework, The Cachalot Compass™, helps you navigate the complexities of your data with clarity, speed, and a relentless focus on privacy. We zero in on the signals that matter most, dive beneath surface-level stats to find hidden patterns, and resurface with a privacy-first plan built for sustainable growth.
We believe in value-driven pricing and quick turnarounds, so you can move fast and always know exactly what you're investing—our costs are always upfront and transparent, ensuring real results without hidden fees.
Ready to see real results?
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Diagnostics & Solution Design
Empower your data strategy with a technical deep dive
$3,500
Immediate answers to your pressing questions
Actionable insights & recommendations
Action-oriented roadmap
Compliance & security gap analysis
Capability deployment framework
Collaborative stakeholder sessions
Customized implementation guide
5-day in-depth expert evaluation
Implementation
Expert execution, delivering tangible results
$85-185/hour
Dedicated guidance from kickoff to delivery
Seamless execution, on time & on budget
Optimized performance, backed by industry best practices
Rapid progress, transparent reporting
Specialized technical expertise on demand:
Web/app engineer
Data engineer
Data visualization expert
Data analyst
[+]you don't need every competency 24/7, but each one is crucial to building a resilient, future-proof analytics environment.
Role: Analytics Architect
Responsible for crafting and configuring an analytics framework driven by specific business requirements. This entails determining which customer journeys are relevant, how the website or app (and any associated platforms) function, and which datasets (including metadata) and event triggers should be captured. Additionally, the Analytics Architect ensures seamless integration with other technology in use and devises logical groupings or rollups of data so that stakeholders can derive meaningful, actionable insights.
Role: Analytics Engineer
Transforms the planned analytics architecture into a functioning tracking setup. This involves configuring and validating events, triggers, and data integrity at the point of collection, as well as verifying accuracy within the systems where the data ultimately resides.
Role: Data Engineer
Handles the transformation, enrichment, and cleansing of data through a systematic series of clearly documented steps, enabling the business to trust the final outputs. This approach establishes a single source of each data element and maintains consistent cleanup logic across the entire organization.
Role: Visualization Engineer
Turns refined, enriched data into intuitive dashboards, reports, and exploration solutions. Emphasizes clear, distraction-free visual design to help stakeholders interpret insights efficiently and effectively.
Role: Data Analyst
Uses dashboards, reports, and exploration tools (including ad hoc SQL) to uncover insights, identify unexpected patterns, and spot new opportunities. This may involve answering direct business questions, conducting open-ended exploratory work, or responding to alerts generated by monitoring systems.
Role: Optimization Engineer
Draws on insights gathered at each stage, collaborating with the broader team to develop iterative testing strategies that help pinpoint cause-and-effect relationships within client data. This systematic approach empowers teams to move ahead with clarity, understanding exactly how each campaign element contributes to higher ROI.
[+]you don't need every competency 24/7, but each one is crucial to building a resilient, future-proof analytics environment.
Role: Analytics Architect
Responsible for crafting and configuring an analytics framework driven by specific business requirements. This entails determining which customer journeys are relevant, how the website or app (and any associated platforms) function, and which datasets (including metadata) and event triggers should be captured. Additionally, the Analytics Architect ensures seamless integration with other technology in use and devises logical groupings or rollups of data so that stakeholders can derive meaningful, actionable insights.
Role: Analytics Engineer
Transforms the planned analytics architecture into a functioning tracking setup. This involves configuring and validating events, triggers, and data integrity at the point of collection, as well as verifying accuracy within the systems where the data ultimately resides.
Role: Data Engineer
Handles the transformation, enrichment, and cleansing of data through a systematic series of clearly documented steps, enabling the business to trust the final outputs. This approach establishes a single source of each data element and maintains consistent cleanup logic across the entire organization.
Role: Visualization Engineer
Turns refined, enriched data into intuitive dashboards, reports, and exploration solutions. Emphasizes clear, distraction-free visual design to help stakeholders interpret insights efficiently and effectively.
Role: Data Analyst
Uses dashboards, reports, and exploration tools (including ad hoc SQL) to uncover insights, identify unexpected patterns, and spot new opportunities. This may involve answering direct business questions, conducting open-ended exploratory work, or responding to alerts generated by monitoring systems.
Role: Optimization Engineer
Draws on insights gathered at each stage, collaborating with the broader team to develop iterative testing strategies that help pinpoint cause-and-effect relationships within client data. This systematic approach empowers teams to move ahead with clarity, understanding exactly how each campaign element contributes to higher ROI.
Analytics Architects
Analytics Engineers
Project Managers
Architects design the technology solution to support an analytics system customized around your needs.
Architects develop a tailored technology solution that fully supports your custom analytics system.
Architects develop a tailored technology solution that fully supports your custom analytics system.
Architects develop a tailored technology solution that fully supports your custom analytics system.
Architects develop a tailored technology solution that fully supports your custom analytics system.
Architects develop a tailored technology solution that fully supports your custom analytics system.
Data Engineers
Business Analysts
Visualization Engineers
Powered by the Cachalot Compass™
Segment360 delivers more than insights—we provide solutions tailored to your most pressing challenges. Our Cachalot Compass™ framework is built on three essential pillars: Signal Detection, to identify critical opportunities and trends; Deep Exploration, to uncover the root causes of inefficiencies or growth blockers; and Strategic Resurfacing, to deliver clear, actionable recommendations that drive measurable results. From the first step, we prioritize transparent collaboration and ensure you know exactly how insights are developed. Our strict privacy standards mean your data is protected at every stage, so you can make confident, informed decisions.
We start with a conversation led by one of our solution engineers to understand your technical challenges and priorities. This discussion lays the groundwork for your analytics strategy and sets a clear direction for the next steps.
Following the kickoff, we confirm responsibilities, timelines, and expectations with all stakeholders. This step ensures everyone is aligned on the scope and objectives, creating a solid foundation for the engagement.
We conduct in-depth stakeholder interviews and review your data flows to discover key gaps and opportunities. These insights allow us to design a practical roadmap tailored to your unique requirements, setting the stage for implementation.
Using the roadmap, we implement solutions in phased sprints. Each phase includes development, validation, and feedback loops, allowing us to refine features and quickly address issues without disrupting daily operations.
After every deployment phase, we review outcomes, address challenges, and refine strategies to keep the project on track. By integrating insights from ongoing assessments, we help ensure continuous, measurable value.
Some organizations only need a single development sprint; others may require multiple cycles to handle complex data needs. As needs evolve, we revisit your analytics architecture to ensure it continues meeting your priorities.
Looking beyond the hype of "data-driven" marketing? Schedule a kickoff call to learn how our Cachalot Compass™ framework transforms raw data into sustainable e-commerce and retail growth, safeguarding your data privacy while helping you:
