Where is the real growth opportunity?
An attractive market on paper must be distinguished from a segment the company can realistically reach and serve with a compelling offer.
Decision: which market or segment to test and develop first.Research
and marketing analytics
We help the owner understand why customers choose or reject the offer, where results are lost and what should change in the segment, product, price or customer experience. We first analyze CRM, sales and customer behavior; additional research is conducted only for questions that company data cannot answer.
Market and
segments
Customers and
reasons for choice
Product, price
and offer
Analytics and
customer experience
WHEN THE SERVICE IS NEEDED
The numbers show what changed, but not why
Sales, CRM and reports answer “what changed.” Research and marketing analytics are required when the cause determines the decision: which segment to choose, what to change in the offer, why customers reject it, whether price is actually the problem and where the customer experience fails.
01There is a varianceSales, conversion, retention or demand changes without a clear reason
02Explanations conflictMarketing, sales and product teams explain the same problem differently
03The decision changes prioritiesThe change will affect the segment, product, price, offer or customer service
04Evidence is requiredFacts, constraints and a result-verification criterion are needed before making the change
DECISIONS THAT CAN BE PREPARED
Five questions for which internal opinions are insufficient
The project begins with one primary question. Other topics are considered only to the extent that they help answer it.
Why do customers choose or reject the offer?
CRM statuses and loss reasons often reflect the team’s opinion rather than the customer’s actual criteria, doubts and alternatives.
Decision: what obstructs choice and which change to test first.What should change in the product or service?
Interest may not convert into use and purchase because the value, scope, usage scenario, or switching risk is unclear.
Decision: what to refine, remove, add or explain differently.Is price actually the problem?
A discount request may conceal weak evidence of value, an unsuitable offer structure, an unsuitable plan or high customer risk.
Decision: which price, configuration and presentation of the offer to test.Where does the customer experience break down?
Reviews and averages do not show at which stage distrust, loss of value or failure to return or buy again occurs.
Decision: which part of the journey and interaction process to change.
WHAT WE ANALYZE
Four areas that help explain commercial outcomes
The project does not include everything at once. Only the data and areas connected to the primary question are selected.
MARKET
Market, segments and alternatives
Demand structure, category changes, competitors, substitutes, entry barriers and segment accessibility.
- where a verifiable opportunity exists
- what the customer compares the offer with
- which changes affect demand
CUSTOMER
Reasons for choice and rejection
Challenges, context, decision criteria, customer language, doubts and the journey from need to purchase or churn.
- why customers choose or reject
- what they do not understand or trust
- where behavior changes
PRODUCT AND PRICE
Product and offer value
Understanding of the outcome, usefulness of features, composition, packaging, price, transition risk and usage scenarios.
- what is genuinely valuable
- what obstructs purchase or use
- which options should be tested
MARKETING ANALYTICS
Demand and customer-experience data
CRM, sales, inquiries, website activity, product events, reviews and call recordings broken down by segment and stage.
- where the variance occurs
- which customers and situations differ
- what data is missing to answer the question
Decision-ready answer
facts → causes → options → recommendation
HOW WE ARRIVE AT THE ANSWER
We first analyze the available data, then fill only the gaps that matter to the decision
Marketing analytics shows where and for whom the result changes. Research explains the causes and helps compare decision options.
Business question
What we assess
Decision supported
Where is the result being lost?
CRM, sales, funnel, segments, inquiries, repeat purchases and product events
Which segment, stage or process requires attention first
Why do customers decline?
Calls, correspondence, reviews, interviews, observation and comparison of alternatives
What to change in the value proposition, evidence, product or selection process
Which segment should be prioritized?
Customer-base data, segment economics, market, customer needs and accessibility
Which audience should receive product, sales and marketing investment
What is happening with price and the offer?
Deal and discount history, package composition, competitors, perceived value and pricing research
Which price, configuration and packaging to test
Is the proposed change validated?
Prototype, pilot, message test, offer test, price test or interaction-scenario test
Continue, refine or abandon the change
WHAT THE COMPANY RECEIVES
An answer to one primary question and the evidence supporting it
A typical project does not cover the entire business. It focuses on one decision and several key hypotheses; the deliverables depend on the task.
Concise answer for decision-making
What was confirmed, what was disproved, which causes are most likely and where the data is insufficient.
- the main conclusion without a lengthy recap
- the facts and sources supporting it
- confidence level and limitations
A decision-relevant view of the problem
Market, segments, customer behavior, journey stages, product, price or offer—only to the extent required to answer the question.
- where the difference arises
- why it arises
- which explanations were not confirmed
Options and recommended priority
What to change, which alternatives exist, what to reject and why the proposed option is preferable.
- recommended action
- alternative options
- risks and decision conditions
Next-step plan
How to validate the recommendation after implementation: action, owner, metric and review condition.
- what to validate
- which signal should count as the result
- when to revisit the decision
HOW THE WORK IS DELIVERED
Five stages with clear participation points
The client participates in framing the question, reviewing key findings and selecting the action. Data collection and processing are handled by the project team.
1
Business question
We define the decision to be made, competing hypotheses and the criteria for a useful answer. Outcome: one primary question and the project boundaries.
2
Data audit
We review CRM, sales, analytics, feedback, call recordings, prior research and the team’s knowledge. Outcome: an understanding of what is already known and what is missing.
3
Design and collection
We define the required sample and collect only the missing data through interviews, market analysis, a survey or a test. Outcome: data suitable for answering the question.
4
Analysis and discussion
We compare sources, test alternative explanations and discuss preliminary findings with the responsible executives. Outcome: findings supported by facts, risks and limitations.
5
Recommendation and validation
We define the priority action, alternatives, owner and metric for subsequent validation. Outcome: a decision and a clear next step.
HOW WE ENSURE RELIABILITY
The conclusion must hold up against inconvenient facts and alternative explanations
The goal is not to confirm the team’s opinion, but to show which conclusion the data supports, how far the evidence supports the conclusion and what requires further validation.
We define hypotheses in advance
Before collecting data, we define the primary and alternative explanations to avoid fitting the conclusion to a preferred answer.
We triangulate sources
CRM, behavior, customer statements, market data and different respondent groups provide cross-checks.
We study customers who declined or left
The work includes not only active and loyal customers, but also those who declined, churned or chose an alternative.
We distinguish intent from action
Stated interest is not treated as demand without actual behavior, a pilot or another strong signal.
We disclose limitations
The findings specify what can be generalized, what applies only to the sample and where another test is needed.
We separate fact from recommendation
Observations, interpretations, conclusions and proposed actions are presented separately.
SERVICE BOUNDARIES
What is included in a research project and what is agreed separately
The project is built around one decision. Additional topics are included only when the answer cannot be produced without them.
New fieldwork is not commissioned automatically: CRM, sales, analytics, reviews and company materials are used first.
The research deliverable includes findings, decision options, and a validation plan. Changes to processes, the product or the management system are scoped as a separate stage when required.
The format for source and anonymized data, research tools and working files is agreed at the start of the project with confidentiality requirements taken into account.
PRACTICAL QUESTIONS
Before starting theproject
DISCUSS YOUR CHALLENGE
We will review the business question, available data, and the appropriate validation approach
After the first meeting, it will be clear whether a separate research project is needed, which primary question it should answer, and what deliverable the company will receive.
- We will define the decision and the main hypotheses about its causes
- We will check which answers already exist in the data and the team’s knowledge
- We will define the missing data, project boundaries and deliverable format
Review the business question
No mandatory survey and no collection of data that will not affect the decision.