Quantitative Research

Tracking Study

Tracking Study

Last updated

Qualitative insights at the speed of your business

Conveo automates video interviews to speed up decision-making.

Definition:

A tracking study is a quantitative research methodology that collects data on consistent measures at regular intervals, whether weekly, monthly, quarterly, or annually, so that trends become visible and statistically meaningful over time. Unlike a one-off survey, a tracking study is designed from the outset for longitudinal comparison, with standardised questions, consistent sampling criteria, and wave-over-wave benchmarks. In brand tracking, this typically means monitoring awareness, consideration, preference, and net promoter scores across a defined audience. The real value of a tracking study is not any single wave but the pattern across waves, which reveals whether a campaign lifted consideration, whether a product launch shifted perception, or whether a competitor is gaining ground.

How Conveo Does It

Conveo supports tracking studies through Storylines, its continuous research programme, which runs in structured waves and connects findings across each one. Teams can launch a new wave in under 30 minutes and receive results within days, not weeks. AI-moderated video interviews run at enterprise scale across 50 or more markets and languages, with every insight traced back to a real participant who said it, supported by verbatim quotes and video. Nothing is synthetic, and nothing gets researched twice.

Frequently asked questions.
A tracking study is a repeated research design that measures the same set of metrics across multiple waves over time. Each wave uses consistent questions and sampling criteria so that results can be compared reliably. Teams use tracking studies to monitor brand health, customer satisfaction, or category attitudes, and to detect whether those measures are moving in response to campaigns, product changes, or competitive activity.
A single survey gives you a snapshot. A tracking study gives you a trend line, which is far more useful for decision-making. Enterprise teams run tracking studies because they need to know not just where a metric sits today but whether it is improving, declining, or holding steady over time. That longitudinal view is what allows brand and insights teams to connect research findings to business outcomes and make a credible case for investment or course correction.
An ad hoc survey is designed to answer a specific question at a specific moment, with no obligation to repeat it. A tracking study is designed from the start for repetition, with standardised questions, consistent sampling, and wave-over-wave comparability built in. Ad hoc surveys are faster to design and more flexible in scope. Tracking studies require more upfront discipline but deliver something an ad hoc survey cannot: a reliable read on how metrics move over time.
AI is compressing the operational cost of running tracking studies at scale, which historically made continuous measurement expensive and slow. Platforms with AI moderation can run interview-based waves in parallel across thousands of participants, with analysis completing as conversations close rather than weeks later. More significantly, AI enables tracking studies to include open-ended qualitative questions at scale, so teams get the trend line from quant and the explanation from qual in the same wave rather than commissioning separate studies.
Most enterprise teams run tracking studies for brand health monitoring, measuring awareness, consideration, and preference across defined audience segments at regular intervals. They also use them for customer satisfaction programmes, campaign effectiveness measurement, and competitive benchmarking. The practical discipline is consistency: the same questions, the same sampling approach, and the same fieldwork standards wave after wave. Teams that maintain that discipline build a longitudinal dataset that becomes genuinely valuable as a strategic asset over time.
gradient background conveo

Want to see how Conveo runs research at scale?

Automate qualitative research with AI-led interviews, scale insights, and lead your organization into the next era of understanding consumer behavior.