Powerful techniques. Client-ready outputs. Delivered fast — so your team can win proposals, add value on every study, and give clients the strategic depth they didn’t know they were missing.
Go beyond basic tables and cross-tabs with advanced analytics that reveal what truly drives decisions. From prioritization and portfolio optimization to perceptual mapping and simulation, these methods turn data into clear, strategic direction your clients can act on.
Client-ready outputs. Fast turnaround. Real decision impact.
Standard analysis tells you what happened.
Each method is designed to move beyond reporting and into decision-making.
Identify what matters most with clear, discriminating results.
Best–Worst Scaling
Portfolio Optimization
Relative Importance
Simulation
Correspondence Analysis
Feature Satisfaction Impact
Structured Preference Capture
Performance–Importance
Best–Worst Scaling
Portfolio Optimization
Relative Importance
Simulation
Correspondence Analysis
Feature Satisfaction Impact
Structured Preference Capture
Performance–Importance
The real power comes from combining methods into a complete decision framework — not just isolated insights.
Each method is designed to move beyond reporting and into decision-making.
Many of our methods include interactive simulators, allowing you to:
These are not static outputs — they’re working tools your clients can use.
Turnaround times are estimates and may vary based on project scope and data complexity.
Book a 20-min scope call and we will give you a tailored estimate. Most advanced analytics are fast enough to fit into any existing study timeline.
The real power comes from combining methods into a complete decision framework — not just isolated insights.
Both are based on the same correspondence analysis data. The standard perceptual map uses a traditional x-y scatter format where proximity indicates association. The Moon Plot presents brands at the center with attributes around the circumference — making it much more intuitive for non-technical audiences. We typically deliver both and let you choose which best serves the client’s presentation style.
It requires an underlying driver model as its input — either a Driver Map, stepwise regression, or relative importance analysis. If you already have driver values from a prior analysis, we can run Next Best Change off those. If not, we will build the driver model first. Typical combined turnaround is 4–6 business days.
Yes. The TURF Tool Simulator is a browser-based or Excel interactive tool that clients can use on their own after delivery. We train your team on how to demonstrate and interpret it, and it becomes a tangible artifact the client can use — which is one reason it generates strong client retention.
Same as all our work: Net-30, 50% on project start, 50% on delivery. For small standalone analyses under $1,500, we may invoice 100% on completion.