One Stop Shop for Brand Analysis

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.

TRUSTED BY THOUSANDS OF CUSTOMERS

Transform your brand with data-driven insights

Access every single brand analytics tool in one place

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.

Visualizations designed specifically for understanding your brand

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.

Automatically update your brand analysis and reports

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.

Elevate your analysis beyond basic brand metrics

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.

Displayr is extremely powerful and extremely intuitive. It can do vastly more analysis more efficiently than any of the tools I’ve tried in the past.

Ron Gailey

President – Americas, MDI

10x faster brand analysis

One complete platform to do it all

Automatic theme detection

AI automatically identifies and categorizes themes within your text data, providing deeper insights.

Emotion detection

Understand and analyze complex emotions like frustration and sadness, helping you understand customer motives.

Entity extraction

Extract key entities like names, places, and organizations to enrich your analysis.

Customizable categories

Fine-tune and adjust categories to match your specific needs and preferences.

Text visualization

Create stunning word clouds, charts, and dashboards that help tell the story behind your text.

Global language support

Analyze text data in any language, with true native language support to a global audience.

Sentiment analysis

Analyze large volumes of text to gauge positive, negative, or neutral sentiments.

Natural Language Processing

Extract insights with unrivalled accuracy, utilizing NLP to reduce manual effort and free up time.

Case Study - MOBILE DIGITAL INSIGHTS

Global Market Research Agency

Displayr helps Mobile Digital Insights save 75% on analysis time

Challenges

Weeks spent processing and formatting data each month for tracking studies
High risk of error

Solutions

Dashboard solution that automates manual processes
All-in-one software

Results

2x business without adding headcount
75% analysis and reporting time saved

“Displayr allows us to work in a quarter of the time it used to take,  making every step of the process more efficient.”

Ron Gailey

President – Americas, Mobile Digital Insights

See why people love Displayr

Brand analysis FAQs

What is brand analytics, and why is it important?

Brand analytics is what allows you to see who your customers really are, what drives their consumption, and how your brand stacks up against the competition. It is an essential tool for ensuring your brand continues to meet consumer’s needs.

What data sources are required for brand analysis?

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:

Brand health grids
Conversion ratios
Interactive brand maps
Driver analysis

How do I perform effective brand analytics?

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:

Competitive Market Structure Analysis: Understand your brand’s position relative to competitors.
Acquisition Funnel Audit: Evaluate how effectively your brand converts interest into customers.
Profiling the Core Consumer: Identify the characteristics of your most loyal customers.
Performance-Importance Analysis: Prioritize actions by analyzing what matters most to consumers.
Basic Brand Vulnerability Matrix: Assess risks to your brand and areas for improvement.

What are the most important tools for brand analytics?

Brand analytics usually involves multiple data streams to gauge an understanding. Some of the most important tools to consider are:

Google Analytics: To monitor online brand performance and website health.
Meta Business Suite: Monitor you Facebook and Instagram business accounts.
Social listening platforms: Such as Brandwatch or Sprout Social for tracking customer sentiment.
Survey tools: These are used to collect direct customer feedback.
Specialized data analysis platforms: Finally, you need something that allows you to compile all of this data and analyze the findings. Displayr is a very effective tool for this step.

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