The ultimate toolkit for brand analysis and reporting, created to save you time. From market maps to driver analysis and live, auto-updating reports, everything you need is seamlessly integrated into one user-friendly app.
From brand health grids to conversion ratios to interactive brand maps and driver analysis, Displayr makes it easy to do sophisticated analysis using any brand-related data source. Create market maps in a couple of clicks or easily run a best-in-class driver analysis (with Shapley Regression, Johnson’s relative weights, quad maps), or just stay ahead of the game with fully automated brand health tables, with automatic conversion ratios.
With palm trees and small multiples for comparing brand positioning, or pyramid charts for showing brand conversions and ratios, to interactive reports with drill-downs and hyperlinks, Displayr makes it fast and easy to showcase and interpret results.
Easily create interactive online reports or PowerPoint reports that are connected to your data. So that when the underlying data changes or updates, every chart, table, text box, conversion ratio, analysis, and visualization updates automatically. No code needed.
Displayr is not just a brand analytics platform; it excels in every aspect including visualization, trend analysis, crosstabs, advanced analytics, dashboards, PowerPoint reporting, data apps, and more. Once you have your brand data, you can seamlessly integrate it into your reports and even update everything automatically with new insights.
Supercharge brand insights using Displayr’s Research Agent—an AI market research tool that helps you automate brand analytics. Whether you’re tracking brand health, awareness, or loyalty, it automatically runs crosstabs, auto-generates charts, and writes strategic summaries—so you can focus on strategic implications for brand growth.
President – Americas, MDI
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.
Displayr’s Research Agents integrate AI across your full workflow, from data cleaning to analysis to reporting.
Displayr helps Mobile Digital Insights save 75% on analysis time
Performing brand analysis requires you to compile a variety of different data sources to get a clearer understanding of your brand’s perception in the market. Some common data sources include:
To help maximize the effectiveness of your brand analytics efforts, Displayr has identified five key data analysis frameworks for building a strong brand strategy. Those are:
Brand analytics usually involves multiple data streams to gauge an understanding. Some of the most important tools to consider are:
