Statistical Analysis | G2 Resources

Statistical Analysis Software Articles

How Descriptive Statistics Helps You Better Understand Data

When asked about statistical analysis, people throw around words like numbers and research.

DM

by Devyani Mehta

What Is Data Sampling? How to See the Bigger Picture

When you need an answer and need it fast, wouldn’t it be nice to ask everyone in the world who could help find an answer?

MC

by Mara Calvello

Qualitative vs. Quantitative Data: Which to Use in Research?

Data analysis is broad, exploratory, and downright complex.

DP

by Devin Pickell

Statistical Analysis Software Glossary Terms

Spillover Effect

The spillover effect is when an event in one area causes unintended economic, social, or political consequences elsewhere. Explore its types and examples.

by Kelly Fiorini

Background Subtraction

Background subtraction is a technique professionals use in computer vision for tracking moving objects in real time. Learn more about the process.

by Sagar Joshi

Statistical Analysis

What is statistical analysis and why is it important as a software feature? Our G2 guide can help you understand statistical analysis, how it’s used by industry professionals, and its benefits.

by Matthew Miller

Unstructured Data

Unstructured data includes unorganized text, audio, and visual files. Understand the types of data, benefits, and challenges of using it.

by Alyssa Towns

Regression Analysis

Regression analysis displays the relationship between multiple variables. Learn more about its types, benefits, and significance for a business.

by Sagar Joshi

Qualitative Data

Qualitative data expresses the subjective qualities of a product, process, or person. Learn more about its types, features, and how to collect this data.

by Sagar Joshi

Random Variable

A random variable takes values based on the outcomes of a random experiment or probabilistic distribution. Learn how it works and why it’s important.

by Sudipto Paul

Statistical Analysis Software Discussions

0

Question on: TelmarHelixa

Can brands use their own proprietary audience segments in planning tools?

Many brands have internal audience frameworks based on CRM, research or strategic segmentation. Planning tools increasingly need to accommodate client defined audience logic so insights and media decisions align with how the organisation already thinks about consumers.

Show Less

Yes, many brands have proprietary audience definitions that sit alongside syndicated media surveys, often shaped by internal research, CRM strategy or long-term segmentation work. Planning tools are increasingly expected to accommodate these client-defined audience structures so media decisions align with how the organisation already thinks about its consumers, not only how standard survey segments are packaged. In practice, this means being able to reflect a brand’s proprietary audience logic within the same environment used to analyse and plan against established media survey data and allowing teams to evaluate reach, channel mix and scenario outcomes using strategic segments that are specific to the brand. TelmarHelixa supports this through custom audience builds, enabling proprietary audience frameworks to be incorporated into audience insight and cross-media planning workflows across subscribed media surveys.

Show Less

Answered: Elke Cathrall on February 4, 2026

Your answer

0

Question on: TelmarHelixa

How do you estimate audience overlap or duplication across channels?

When campaigns span multiple channels, overlap becomes critical. Understanding duplication helps teams avoid double counting, identify incremental reach opportunities and build more efficient cross-channel plans.

Show Less

Audience overlap or duplication is typically estimated by modelling how reach builds across channels rather than treating each channel in isolation. Because the same individuals may be reached through multiple media environments, cross-channel planning requires an approach that can account for shared exposure and avoid overstating total audience reach. In practice, this is critical for allocating investment efficiently. Without understanding overlap, plans can concentrate spend on repeated exposure to the same people, increasing frequency rather than delivering incremental reach. Accounting for duplication helps teams reduce wasted exposure (GRPs/Impressions etc) and direct budget toward the channels that contribute net new audience reach. TelmarHelixa supports this through cross-media reach modelling that incorporates duplication and overlap across media types, allowing planners to forecast reach curves and scenario outcomes with a clearer view of how channels interact within a single workflow.

Show Less

Answered: Elke Cathrall on February 4, 2026

Your answer

0

Question on: TelmarHelixa

How do agencies plan and forecast reach for cross-channel media planning?

Cross-channel planning requires more than channel-by-channel estimates. Agencies increasingly need to forecast reach holistically, understand duplication across media types and build scenarios that reflect how audiences accumulate across digital and traditional investments.

Show Less

Agencies plan and forecast reach for cross-channel media planning by modelling how different channels contribute to overall audience delivery before a campaign is activated. Rather than relying on separate channel-level estimates, teams need a holistic view of how reach builds across digital and traditional media within a single plan. In practice, this involves creating planning scenarios, testing different channel mixes and using reach curves to see how incremental reach changes as investment shifts across platforms. This allows agencies to make informed decisions about where to allocate budget for maximum total reach and efficient audience growth. TelmarHelixa supports this through cross-media planning workflows that connect audience intelligence directly to reach forecasting, reach curves and scenario planning across media types, enabling planners to build and evaluate cross-channel plans quickly in one environment.

Statistical Analysis Software Resources

Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Statistical Analysis Software

Statistical Analysis Software Articles

How Descriptive Statistics Helps You Better Understand Data

What Is Data Sampling? How to See the Bigger Picture

Qualitative vs. Quantitative Data: Which to Use in Research?

Correlation vs. Regression: Key Differences and Similarities

Discrete vs. Continuous Data: What’s the Difference?

What Is Actuarial Science? Discover Courses, Jobs, and Salary

Null Vs. Alternative Hypothesis

How Statistical Analysis Methods Take Data to a New Level in 2023

What Is Regression Analysis? Types, Importance, and Benefits

What Is Statistical Modeling? When and Where to Use It

Statistical Analysis Software Glossary Terms

Statistical Analysis Software Discussions

Statistical Analysis Software Reports