Displayr makes longitudinal analysis and reporting fast, easy, repeatable, traceable, and error-free. From discovering insights and spotlighting changes over time to effortlessly updating and sharing live reports.
When new data arrives, quickly identify what’s changed. Displayr automatically crosstabs by date and highlights statistically significant insights, allowing you to focus on the most important changes. Automatically test differences from wave-to-wave.
Visualize tracking data using intuitive plots with color and arrows to highlight what has changed since your last wave. This includes color-coded sparklines to show long-term trends, interactive time series plots, ranking plots, and small multiples, making it simple to see changes over time.
Time scales can be quickly aggregated or changed (e.g., weekly to quarterly to monthly). Easily change the range of dates or number of periods you want to display. And set dynamic filters to automatically add new time periods and automatically remove the old ones when a data file is revised.
Easily highlight long term trends by smoothing out the noise. Everything from moving averages through to Friedman’s super smoother and splines.
Analyze disparate data sources in one place such as brand health, ad tracking, and ad spend data.
Displayr will alert you if there are changes or differences in a revised data set, if there are errors or if constructed variables break due to the removal or alteration of a variable.
No code needed – just update your analysis by replacing the old data file with the revised one. All steps performed on the previous data set, such as text coding, table modifications, labelling, constructing variables, creating tables, charts, analyses, etc. will be automatically redone using the new data.
PowerPoint presentations, online reports, excel workbooks, and dashboards are automatically updated with each new wave of data. Done!
Managing Director, Davies Hickman
SQL, databases, Excel, CSV, text, SPSS, survey platforms, APIs, integrations, & more.
Summary tables, crosstabs, pivot tables, regression, text analysis, segmentation, machine learning, & more.
Data visualization, interactive data apps, dashboards, presentations, PowerPoint, Excel, PDF, web pages, & more.
AI automatically identifies and categorizes themes within your text data, providing deeper insights.
Understand and analyze complex emotions like frustration and sadness, helping you understand customer motives.
Extract key entities like names, places, and organizations to enrich your analysis.
Fine-tune and adjust categories to match your specific needs and preferences.
Create stunning word clouds, charts, and dashboards that help tell the story behind your text.
Analyze text data in any language, with true native language support to a global audience.
Analyze large volumes of text to gauge positive, negative, or neutral sentiments.
Extract insights with unrivalled accuracy, utilizing NLP to reduce manual effort and free up time.
Displayr helps dunnhumby update their quarterly tracking reports 95% faster
Some typical examples of longitudinal studies that you might come across when conducting market research include:
The number one benefit of longitudinal data analysis is that it paints a clear picture of how key metrics change over time. More specifically:
Longitudinal analysis – and designated tools like Displayr – improve brand tracking by:
Longitudinal analysis is a broader statistical approach that focuses on studying changes over time using repeated observations of the same subjects. Tracking analysis, on the other hand, is a specific application of longitudinal analysis, often used for monitoring metrics like brand health, customer satisfaction, or sales trends over time.
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