A brand tracker built on research excellence

An enterprise-grade brand tracking at a fraction of enterprise prices. Our brand performance data meets ISO 20252:2019 (Annex A), ISO 27001:2022, ISO 27701:2019, System and Organization Controls (SOC) 2 Type 1 and 2 standards, delivering rigorous insights without the six-figure commitment.

What data does Brand Tracker by Conjointly provide?

Brand Tracker by Conjointly delivers enterprise-grade data for select countries and categories, without the enterprise price tag.

You can sponsor data collection for uncovered categories and gain exclusive access at a fraction of traditional research costs. Get in touch to discuss your needs.

How are surveys designed?

Brand Tracker by Conjointly publishes syndicated data, a proven and efficient approach designed to measure brand funnel metrics and category-specific time series using consistent methodology. Surveys typically combine multiple-choice questions, Likert scales, and open-ended questions as part of an online questionnaire (most of which are responded to on mobile devices). Conjointly’s research team determines appropriate question formats and content based on research best practices to ensure data comparability across waves.

Who takes part in Brand Tracker surveys?

Respondents are recruited from Conjointly’s panel networks, comprising 100 million real human consumers globally. When panellists sign up, they provide demographic and profiling information which is used to target each survey and ensure representative sampling.

We don’t compromise on quality to deliver affordable pricing. Conjointly uses multi-layered quality controls throughout the research process. These include bot blocking, prevention of repeat completions, geofencing, detection of anomalous network activity, and automated flagging of respondents who exhibit signs of low-quality participation. Once target sample sizes are met, final quality checks remove and replace poor-quality responses, ensuring only reliable data enters the final Brand Tracker results.

How is the data weighted?

We use quota-sampling to ensure each survey wave reflects the demographic composition of your target market. And then we apply post-survey weighting to further enhance representativeness by weighting key demographics. We adjust responses by key demographics (such as age, gender, region, social class, education) using census data and official country statistics as benchmarks. This corrects for any imbalances between respondents and actual market composition.

Testing statistical significance

Confidence intervals for 90% significance level are displayed when hovered over statistics. Confidence intervals are calculated using the bootstrap method.

Minimum Sample Size for Reporting

Results based on fewer than 20 respondents are not reported in this study. Where a base size falls below this threshold, data is suppressed to ensure the reliability and statistical integrity of the findings.

Diagnostic Question Eligibility

Diagnostic questions are only shown to respondents who indicate awareness of a given brand, and are further limited to a random selection of up to 4 qualified brands per respondent to minimise survey fatigue and maintain data quality. As a result of this eligibility process, the base size for diagnostic measures is typically smaller than for overall category or brand-level metrics, and not all respondents will evaluate all qualified brands. Base sizes for individual brands may also vary across waves.

Interpreting Low Base Sizes

Where base sizes are small but meet the minimum reporting threshold, results should be treated as directional rather than conclusive. Wider confidence intervals are expected at lower sample sizes, and month-to-month changes should be interpreted with caution.

What do the abbreviations and terms mean?

• P12M: same as “in the past 12 months”.
• P6M: same as “in the past 6 months”.
• N12M: same as “in the next 12 months”.
• N2Y: same as “in the next 2 years”.
• Aided Awareness: When respondents are shown a list of brands and asked which ones they recognise.
• Population: The total adult population (18+) used as a baseline for demographic and behavioral comparisons with category users.
• Diagnostic: A question that helps identify strengths and weaknesses in brand performance. It is typically asked as a follow-up question to a brand funnel metric, such as awareness. For example, after measuring aided awareness, a diagnostic question such as “Please indicate the extent to which you agree or disagree that [Brand X] is safe for your health.” might ask respondents who are aware of the brand.