A business needs more than what people say about a product. It needs to see what they already do: what they search for, compare, watch, discuss and buy—and which competitors receive their attention.
Surveys and interviews can be useful. But declared intent alone is not enough for an investment, market-entry or product-launch decision. SOLARA starts with behavioural digital signals that the market has already created without a researcher framing the response.
Intent sounds convincing. Behaviour leaves evidence
A respondent can sincerely say they would buy a service while imagining a situation without real price, risk, alternatives or urgency. The answer can be honest and still fail to predict a purchase.
A search query appears in a different context. A person has experienced a problem, described it in their own language and begun looking for a solution. Comparison searches, reviews, detailed AI questions, competitor visits and recurring professional discussions are observed actions.
They can be measured over time, segmented by geography and classified by intent.

The SOLARA advantage
We do not build a market conclusion around one answer or one data platform. We combine independent layers of evidence.
Search demand
Search reveals scale, seasonality, geography, the language of need and commercial intent. Semantic clusters separate general interest from active searches for a supplier, price, product or use case.
AI demand
AI questions expose full contexts, decision criteria and brands already included in generated answers. They represent a growing discovery layer where users express more complex needs than a short keyword allows.
Social trends
Social signals show how attention changes: which problems and formats repeat, which language enters the market and where interest becomes practical evaluation.
Competitor behaviour
Visibility, traffic, advertising, content, reviews, pricing and partnerships show who captures existing demand and which acquisition mechanisms operate in the category.
Open and specialised data
Registers, statistics, procurement, imports, vacancies, maps and industry databases add structural context unavailable in search.
The advantage is not data volume. It is cross-validation. When independent signals point to the same conclusion, the business receives a much stronger basis for action.
We measure the market before the product exists
Classical testing often needs a concept, prototype, recruitment and a research scenario. Those tools can be valuable later, but the team has already framed the answer.
SOLARA can start earlier. The market already contains evidence about the problem, alternatives, competitors and channels. We analyse that existing system before the business funds the production of its hypothesis.
This makes it possible to estimate demand, find the strongest segment, learn the audience’s natural language, identify commercial clusters, assess competitive barriers, select channels and define exactly what a prototype or interview should test.
Comparing the approaches
| Approach | Source | What it answers |
|---|---|---|
| Survey | Declared response | What a person says in a framed situation |
| Interview | Extended conversation | How a person explains motivation and context |
| Focus group | Group reaction | How an audience discusses a concept |
| Product test | Behaviour in a designed scenario | How users interact with one proposed solution |
| SOLARA methodology | Existing digital demand and market data | What the market already needs, consumes and chooses |
We do not claim one source answers every question. We make a more important claim: a market decision should begin with the market itself. Surveys may enrich the picture; they should not replace measurement of existing behaviour.
Faster and more economical research
Recruitment, fieldwork, moderation and repeat waves can require substantial time and money. Digital and open data already exist. The expert work is to build the right semantics, find sources, clean signals, compare like with like and translate evidence into business consequences.
SOLARA can therefore establish the core picture of demand, competition and market structure without first creating expensive research infrastructure. If interviews or a survey are needed afterwards, they target defined gaps instead of trying to describe the entire market blindly.
A traceable result
A strong study makes the reasoning visible:
- The business question being tested.
- The sources capable of answering it.
- The definitions of clusters, competitors, periods and geographies.
- The signals that reinforce or challenge one another.
- The boundary between fact, estimate and inference.
- The decision changed by the conclusion.
That is stronger than a presentation built around a few memorable quotations. SOLARA’s output can be verified, challenged and used to build product, marketing and investment plans.
When classical methods should be added
Interviews help explain complex B2B buying processes or a specific point of friction. Surveys help measure a defined attitude in a suitable sample. Product tests evaluate a concrete interaction.
After SOLARA’s market analysis, these methods become precise. We already know which segment matters, which hypotheses have market evidence and which questions remain open. That improves the next stage and protects its budget.
Frequently asked questions
Can search demand represent the whole market?
No—and our methodology does not stop at Google. We combine search, AI, social, competitors and open data, adding specialist sources and proxies where digital visibility is low.
Are digital data exact?
Every source has limits. We label estimates, verify definitions and never present a modelled number as an audited fact. Reliability comes from cross-checking independent signals.
What is the main output?
A measurable answer: how much demand exists, who captures it, how the market chooses and where a defensible entry point exists. See the methodology and example report.
People can be wrong about future behaviour. The market already shows present behaviour—and that is where the decision should begin.
Market & demand research