How we find growth, and how we provide what it's worth
Most firms will tell you what your market did. Fewer can tell you why. Almost none can tell you what a growth opportunity is actually worth before you commit to it.
Strategalytics™ is how we do all three.
It is our operating method and the platform behind it. It exists because the two halves of market intelligence are usually run separately and by different people — qualitative research on one side, quantitative analysis on the other — and the value gets lost in between. Interviews surface what buyers believe. Analytics size what the market will pay. Neither is worth much alone.
The Four Phases
Every engagement moves through the same sequence, at whatever depth the decision requires.
Establish what the market actually believes, not what the category assumes. Discovery interviews, buyer-journey research, and instrument design built to get past what respondents think they are supposed to say.
Build the proposition, the proof and the narrative architecture. Positioning is tested here, not asserted.
Put it into market with the assets, enablement and channels to carry it. Research that decision-makers cannot follow does not produce growth; it produces a report.
Measure, learn and compound what works.
DataPilot+™
At the center of Strategalytics is DataPilot+TM, our analytical engine.
Its job is specific. A qualitative finding — a phrase customers keep reaching for, an objection that recurs across a dozen interviews, a use case nobody in your category is naming — is ordinarily an anecdote. It goes in a slide and it does not survive contact with a budget meeting.
DataPilot+ is what allows that finding to be sized, tested and tracked as a quantitative variable. It is the bridge between what buyers say and what the opportunity is worth.
The Quantitative Work
Behind the method is a set of techniques we have been running for B2B and B2B2C clients since 2002:
- Choice exercises that elicit market perceptions and reveal preference structure rather than stated preference
- Price optimization and willingness-to-pay analysis
- Predictive demand analytics and scenario modeling
- Segmentation built on behavior and need rather than firmographics alone
- Opportunity sizing that connects qualitative signal to addressable value
- Synthetic data methods where sample is scarce or respondents are hard to reach
The Qualitative Work
And the half that most analytics firms skip:
- Discovery and depth interviews with buyers, specifiers and the people who influence both
- Buyer-journey mapping in mediated and multi-stakeholder markets, where the person who chooses is rarely the person who pays
- Voice of the customer programs programs designed around what a decision actually turns on
- Multicultural and multi-stakeholder research, an area we have built deliberately
Where It Works Hardest
Strategalytics was built for markets where the offering is genuinely complex, the buying cycle is long, several people have to agree, and someone else carries your message to the end customer. Specialty chemicals, polymers, advanced materials, life sciences, industrial technology.
These are markets where the wrong growth bet is expensive and slow to unwind. They are also markets where the difference between a good decision and a confident one is evidence.
