Recent results
Regular waves give you recent measures of brand health. Compare results over time to spot changes that need investigation, including movement during a campaign.
Brand tracking
Brand tracking software helps your team follow awareness, consideration, and brand health through recurring surveys of real respondents. MX8 Labs automates programming, weighting, and reporting, reducing the work needed for each wave. Choose a schedule that fits your decisions, audience, and budget.
Regular waves give you recent measures of brand health. Compare results over time to spot changes that need investigation, including movement during a campaign.
Keep the core questions consistent for trend comparisons, with a separate section for new campaigns, competitors, or claims you need to investigate.
Automating programming and reporting reduces recurring production work. Wunderkind increased its research program from 2 studies a year to 24+ with no budget increase; the savings for your tracker depend on its scope and sample costs.
The platform runs the whole tracking operation: programming from your instrument, fielding across 70+ integrated panels with real-time quality checks, automatic weighting and significance testing, auto-coded open ends, and reports drafted from the latest data. Use a separate brand lift study to compare campaign exposure groups, with causal claims determined by the design. Our methodology documentation explains the calculations and their limitations.
Moving from an existing tracker — whether an agency-run program or a legacy platform — follows the bridged migration path in our tracker replacement playbook, and our switching guides cover the platform-level questions. Usage-based pricing: per respondent-minute, no platform-access fees.
Measure which brands people recall without prompting and which they recognize from a list. Track unaided and aided awareness separately, using consistent questions across waves.
Ask which attributes people associate with your brand and its competitors. Choose attributes relevant to your category, such as reliability, value, or ease of use, and compare them by segment.
Follow awareness, consideration, preference, and usage over time. Keep the target audience and core questions consistent so your team can investigate changes in the measures.
Keep a consistent core of unaided and aided awareness, consideration, preference, usage, and relevant brand associations. Use a separate section for questions about current campaigns, competitors, or upcoming decisions, while checking that changes do not affect the core measures.
Choose a cadence based on the decisions you need to make, how quickly the market changes, and the sample you can recruit. Automated production reduces the work per wave, but monthly or weekly tracking still needs enough respondents and budget to support useful comparisons.
A bridge wave helps assess continuity before you switch. Map the questionnaire, run both versions with comparable samples, and document where results agree or differ. Review any adjustments before joining the series; a bridge wave cannot guarantee that every measure will remain comparable.
Use consistent sample frames and quotas, real-time fraud and attention checks, two-stage IPF (raking) weighting, and significance testing with effective-sample-size adjustment. These help distinguish brand movement from changes in sample composition. Sampling variation and other sources of error still need to be considered.
Choose the measures, sample, and schedule your team needs.