Commercial engagements often operate with fragmented, incomplete, and inconsistent data.
We structure disparate datasets, develop analytical models, and generate insights across pricing, market, and customer domains.
Outputs are designed to integrate directly into consulting engagements, ensuring transparency, consistency, and client-ready delivery.
CommercialIQ delivers structured analytical support across the core components of data preparation, modelling, statistical analysis, visualization, and validation.
We combine structured data analysis with qualitative inputs to generate insights across commercial, customer, and market dimensions
We develop commercial, behavioural, and value-based segmentation using ML on survey and usage data, along with qualitative segmentation through interviews.
We develop single source of truth dashboards and reporting layers to track performance, monitor KPIs, and support ongoing decision-making.
We design, program, and analyze surveys (including conjoint and WTP studies) to capture customer preferences and validate commercial hypotheses.
We analyze transaction data using ML techniques to identify product combinations and revenue expansion opportunities.
We assess cost structures and identify optimization levers through data-driven analysis aligned to commercial objectives.
We map customer journeys and build personas using primary and secondary research to support GTM and pricing decisions.
In addition to core Data and Analytics capabilities, CommercialIQ supports a range of adjacent workstreams that complement broader GTM and commercial initiatives.
This includes
We also support survey design, programming, and analysis for primary research, along with integration of secondary research and external datasets to validate assumptions and strengthen analytical outputs. These inputs are structured to align with core models and ensure consistency across deliverables presented to clients.
Analytics-heavy strategy delivery
Structured analytical support across pricing, market, and customer decisions, built for engagements that require translating incomplete or fragmented data into decision-ready outputs.
Data-scarce environments
Designed for situations where datasets are inconsistent, partially available, or spread across multiple sources, requiring structuring, validation, and modelling before insights can be derived.
Reach out to CommercialIQ to support your next GTM engagement with structured analytical delivery aligned to your scope, timelines, and client requirements.
We conducted a pricing maturity assessment across pricing strategy, sales behavior, systems, and processes. We identified strategic and quick-win pricing opportunities, including discount governance, contract renewal pricing, and profitability realignment initiatives.
We developed an enterprise pricing dashboard providing unified, real-time visibility into pricing performance across all business units.
