Advanced Analytics & Consulting
Data without interpretation is just storage. We take it the rest of the way.
Most research engagements end at the data. Charts are delivered, a report is filed, and the hard question of what we should actually do is left to the client to figure out alone. FieldNet Global's analytics and consulting practice is built for that gap. We run the statistical modelling, strategic interpretation and business consulting that turns research output into decisions your leadership team can act on with confidence.
5M+
Interviews Conducted
50+
Countries Covered
150+
Years Collective Team Experience
ISO
Certified Process
From Raw Data to Boardroom Decision
Research Design
The right analytical output starts with the right question structure. We build questionnaires and study designs with the downstream statistical techniques in mind.
Data Collection
Quantitative surveys, qualitative transcripts and audit data collected across geographies, with quality-checked raw data as the foundation.
Statistical Analysis
T-tests, regression, conjoint, segmentation, Van Westendorp, lift modelling and more applied to the right dataset for the specific decision at stake.
Insight Synthesis
Numbers become narrative. We identify the patterns that matter, stress-test them against alternative explanations and build the strategic story.
Consulting and Recommendation
We sit in the room with your team and help translate findings into decisions on pricing, positioning, product direction, market entry or customer strategy.
What Is Advanced Analytics in Market Research
Advanced analytics in market research refers to the application of statistical modelling, multivariate analysis and strategic interpretation techniques to research data going beyond descriptive reporting (what happened) to explain why it happened, predict what will happen next, and recommend what to do about it. Techniques include conjoint analysis, regression modelling, cluster-based segmentation, price sensitivity modelling and brand driver analysis. FieldNet Global applies these techniques to primary research data collected across India and 50+ countries.
What Is Advanced Analytics in Market Research
Advanced analytics in market research refers to the application of statistical modelling, multivariate analysis and strategic interpretation techniques to research data going beyond descriptive reporting (what happened) to explain why it happened, predict what will happen next, and recommend what to do about it. Techniques include conjoint analysis, regression modelling, cluster-based segmentation, price sensitivity modelling and brand driver analysis. FieldNet Global applies these techniques to primary research data collected across India and 50+ countries.
Statistical Techniques We Apply
We choose the technique based on the decision being made, not the tool we happen to have. These are the methods we work with:
Conjoint Analysis
Measures which product features, price points or service attributes consumers actually value by forcing them to make real trade-offs rather than rating everything equally.
Van Westendorp Price Sensitivity Analysis
Identifies the acceptable price range for a product or service by mapping where price becomes "too cheap to trust" and "too expensive to consider."
Regression Analysis
Quantifies which variables are actually driving an outcome purchase intent, satisfaction score, brand preference and by how much.
Cluster-Based Consumer Segmentation
Groups consumers by behaviour, attitudes or values rather than demographics, producing segments that are actionable for product and marketing strategy.
Brand Driver Analysis
Identifies which specific brand attributes are most strongly correlated with consideration and preference so investment goes to the levers that actually move the needle.
Lift Analysis
Measures the incremental effect of an intervention, a campaign, a price change, a product launch on a key metric, controlling for what would have happened anyway.
Statistical Techniques We Apply
We choose the technique based on the decision being made, not the tool we happen to have. These are the methods we work with:
Conjoint Analysis
Measures which product features, price points or service attributes consumers actually value by forcing them to make real trade-offs rather than rating everything equally.
Van Westendorp Price Sensitivity Analysis
Identifies the acceptable price range for a product or service by mapping where price becomes "too cheap to trust" and "too expensive to consider."
Regression Analysis
Quantifies which variables are actually driving an outcome purchase intent, satisfaction score, brand preference and by how much.
Cluster-Based Consumer Segmentation
Groups consumers by behaviour, attitudes or values rather than demographics, producing segments that are actionable for product and marketing strategy.
Brand Driver Analysis
Identifies which specific brand attributes are most strongly correlated with consideration and preference so investment goes to the levers that actually move the needle.
Lift Analysis
Measures the incremental effect of an intervention, a campaign, a price change, a product launch on a key metric, controlling for what would have happened anyway.
Consulting Engagements We Take On
Market Entry Strategy
Which markets to enter, in what order, with what positioning informed by primary research, competitive mapping and demand assessment.
Pricing Strategy and Optimisation
Where to price a product to balance volume and margin, based on Van Westendorp modelling, conjoint analysis and competitive price audit data.
Product and Innovation Consulting
Which concepts to develop, which features to prioritise and how to position a new product built on concept test results, driver analysis and gap mapping.
Brand Positioning and Architecture
How to position a brand relative to competitors, which attributes to own, and where to invest to shift consideration — grounded in brand health tracking data.
Customer Segmentation and Targeting
Which consumer segments to pursue, how to reach them and how to differentiate the offer for each built on cluster analysis of primary research data.
Growth and Expansion Strategy
Which geographies, channels or customer groups represent the highest-return expansion opportunity assessed through feasibility analysis and market sizing.
Why Analytics and Consulting Should Come From the Same Team
Most organisations separate data collection from analytics, and analytics from strategy using one agency for fieldwork, another for modelling and a third for consulting. Every handoff is a place where context gets lost.
When the team that designed the research, monitored the fieldwork and built the statistical model also sits in the strategy conversation, three things change.
The analysis is grounded in what the data can and cannot support not what a consulting deck needs it to say.
The recommendations are built around what was actually asked and measured, not retrofitted onto findings from a study designed for different questions.
The strategic advice carries the weight of having seen the raw data, not just a summary which changes what gets emphasised and what gets qualified.
This is not an argument for keeping everything small. It's an argument for keeping the thread between question, data and decision in one set of hands.
Related Case Studies
Hair Color Ad Effectiveness Study
A large-scale ad effectiveness study measuring brand awareness, recall, and purchase intent for a hair color campaign.
Pledge to Vote Voter Database Campaign
A door-to-door voter outreach and verified database creation program across South Bangalore.
Shop Census for a Leading FMCG Firm
A full retail census across Mumbai to map branded and unbranded wafer outlets for better merchandising and expansion planning.
Why Analytics and Consulting Should Come From the Same Team
Most organisations separate data collection from analytics, and analytics from strategy using one agency for fieldwork, another for modelling and a third for consulting. Every handoff is a place where context gets lost.
When the team that designed the research, monitored the fieldwork and built the statistical model also sits in the strategy conversation, three things change.
The analysis is grounded in what the data can and cannot support not what a consulting deck needs it to say.
The recommendations are built around what was actually asked and measured, not retrofitted onto findings from a study designed for different questions.
The strategic advice carries the weight of having seen the raw data, not just a summary which changes what gets emphasised and what gets qualified.
This is not an argument for keeping everything small. It's an argument for keeping the thread between question, data and decision in one set of hands.
Related Case Studies
Hair Color Ad Effectiveness Study
A large-scale ad effectiveness study measuring brand awareness, recall, and purchase intent for a hair color campaign.
Pledge to Vote Voter Database Campaign
A door-to-door voter outreach and verified database creation program across South Bangalore.
Shop Census for a Leading FMCG Firm
A full retail census across Mumbai to map branded and unbranded wafer outlets for better merchandising and expansion planning.
What We Bring to the Analytics and Consulting Conversation
Analytics consulting is credible when it is grounded in primary research reality not when it is built on secondary data, desk assumptions or syndicated reports. Our analytics practice sits inside a full-service research firm that designs studies, executes fieldwork and builds the analytical base from scratch.
- Statistical analysis and consulting built on primary data we collected and quality-checked ourselves
- Management team with experience at AC Nielsen, IMRB and Ipsos both client-side and agency-side
- Established in 2004, with cross-sector experience across FMCG, pharma, BFSI, retail and development research
- Field depth across India and 50+ countries, so the data the analysis runs on is real
- ISO-certified quality control at every stage of the research-to-recommendation chain
What We Bring to the Analytics and Consulting Conversation
Analytics consulting is credible when it is grounded in primary research reality not when it is built on secondary data, desk assumptions or syndicated reports. Our analytics practice sits inside a full-service research firm that designs studies, executes fieldwork and builds the analytical base from scratch.
- Statistical analysis and consulting built on primary data we collected and quality-checked ourselves
- Management team with experience at AC Nielsen, IMRB and Ipsos both client-side and agency-side
- Established in 2004, with cross-sector experience across FMCG, pharma, BFSI, retail and development research
- Field depth across India and 50+ countries, so the data the analysis runs on is real
- ISO-certified quality control at every stage of the research-to-recommendation chain
Ready To Collaborate?
Have a Business Decision That Needs More Than a Report?
Bring us the question. We'll design the research, run the analysis and sit with you on what it means for your strategy.
Frequently Asked Questions
Find answers to the most common questions about Advanced Analytics & Consulting.