Capabilities
Six Pillars. One Team.
Custom marketing research — from product optimisation and brand health to AI-powered visual attention — built to show how people think, choose, and act in the real world.
Capabilities
Custom marketing research — from product optimisation and brand health to AI-powered visual attention — built to show how people think, choose, and act in the real world.
Transform complexity into clarity
Advanced quantitative analytics that uncover the 'why' behind human choices, enabling data-driven product and communication decisions.
Methods & Approaches
Science of taste, texture, and perception
Specialist sensory evaluation using trained panels and affective testing with real people — purpose-built for FMCG, food & beverage, personal care, and fragrance categories.
Methods & Approaches
Ready intelligence, shared cost
Proprietary multi-client trackers and panels that deliver continuous, cost-efficient intelligence across food-service, media, and FMCG categories.
Methods & Approaches
Measure what matters beyond profit
Specialised social research for CSR programmes, government schemes, and impact organisations — rigorous measurement of social, environmental, and community outcomes.
Methods & Approaches
Full-spectrum behavioural understanding
End-to-end primary research across B2C and B2B sectors — from quick dipstick polls to large-scale multi-market studies, delivered with analytical depth.
Methods & Approaches
Advanced Methods
We adopt intelligent methods — eye-tracking simulation, text coding, predictive modelling — where they genuinely sharpen insight, not as a default for every project.
Eye-Tracking Simulation
Elastic Tree's flagship proprietary tool. Using deep learning models trained on thousands of real eye-tracking sessions, AI Gaze™ predicts human visual attention on any uploaded image or design with 92% accuracy — fully remote, no hardware required.
92%
Accuracy
24 hrs
Turnaround
–60%
Cost vs. Traditional
Faster Insights at Scale
Machine-learning models accelerate response quality validation, open-ended text categorisation, and driver analysis — enabling our analysts to focus on interpretation rather than data cleaning.
5×
Speed Gain
100,000+
Data Points
12+
Quant Modules
Decision-Ready Forecasts
Advanced MaxDiff, conjoint analysis, and regression-based driver models translate real human preference data into ranked, simulation-ready product or communication decisions.
High
Accuracy
MaxDiff, Conjoint
Models
Priority Scores
Output
Open-Ended at Scale
NLP-powered verbatim coding, sentiment classification, and theme clustering across Tamil, Hindi, English, and other Indian languages — ensuring no qualitative nuance is lost in large-scale quant surveys.
6+
Languages
Yes
Auto-code
Built-in
Sentiment
AI Gaze™
When visual attention is the research question, AI Gaze™ delivers four complementary outputs.
Colour-coded overlay showing relative attention density across the entire stimulus — instantly identifies high- and low-engagement zones.
Isolates the single most-fixated area on the visual, helping you confirm that the primary message or pack design element is landing where intended.
Frame-by-frame animation recreating the natural scan path of the human eye, revealing the true order in which elements register.
Quantified fixation metrics per defined zone — time-to-first-fixation, total dwell time, visit count — for rigorous cross-stimulus comparison.
Our team will propose the right methodology — qual, quant, or a hybrid — tailored to your timeline and budget. Send us a visual stimulus and we can run a sample AI Gaze™ analysis too.