Using Regression Analysis in market research

Savanta

So rather than asking customers directly, an alternative approach is to apply a statistical method called Regression Analysis to deduce what really matters. Regression Analysis explained. Regression Analysis looks for relationships between these variables.

Using Regression Analysis in market research

Savanta

So rather than asking customers directly, an alternative approach is to apply a statistical method called Regression Analysis to deduce what really matters. Regression Analysis explained. Regression Analysis comes in a variety of ‘flavours’ each best suited for a particular situation, e.g. Linear Regression, Stepwise Regression, Ridge Regression. Regression Analysis looks for relationships between these variables.

How Fast Is Your Blog Growing? How to Run a Regression Analysis to Find Out

Hubspot

One way to figure out how fast you''re growing is to run a regression analysis on your monthly traffic. In this post, we''ll explain what a regression analysis is and how to figure out what a regression analysis is telling you. What Is a Regression Analysis?

Are you a good judge of people? Think again

Integrated B2B

” Kahneman refers to the statistical phenomenon ‘regression to the mean’ In situations where a person has underperformed or overperformed remarkably, luck plays a big part. Think of a time when an employee or team member performed a task particularly poorly.

Blink: A side door to the unconscious

Savanta

Finally, apply a statistical technique called regression. B2B decision making B2B Marketing Magazine column B2B marketing statistics emotional decision makingSometimes things just feel right. We can’t say why, they just do. The house bought not because it ticked all the boxes, but because you could imagine living there. The supplier chosen not after an exhaustive procurement assessment, but because they just seemed to fit.

How to measure customer satisfaction in B2B markets

Savanta

So rather than asking customers directly, an alternative approach is to deduce what matters using a statistical technique called Regression Analysis (see here for a full discussion of this technique). In a nutshell, Regression Analysis works by observing what happens to your overall satisfaction score when satisfaction scores in one area of the experience move up or down (but scores in other areas remain static). How do you measure customer satisfaction in B2B markets?

Tips for B2B customer satisfaction research

Savanta

Using statistical techniques like Regression Analysis reveals what truly drives customer loyalty. Customers are your lifeblood. But it’s tough to actively manage these relationships unless you understand how they feel about you. That’s why every B2B business needs a programme of regular customer satisfaction research. Take care though. Get it wrong and you can actually make things a whole lot worse… Relationships matter.

Buyer Intent and Predictive Analytics – Unified Through Data Science

Aberdeen

While affording powerful logistical regression models based on any data that it could see, predictive analytics models suffered from near data blindness, as marketing departments struggled to feed anything more than CRM, website logs, and basic firmographic data to it.

AI 101, Part I: What You Need to Know about Predictive Models

Ignite Tech

Once you understand the machine-learning problem you want to solve for, the next step to building a model is to employ data science methodologies like classification or regression.

Rapid Insight Provides Low-Cost Options for Desktop Data Transformation and Predictive Modeling

Customer Experience Matrix

Summary: Rapid Insight offers low-cost desktop tools for data transformation and automated regression modeling. Veera also provides some basic analytics including descriptive statistics (mean, median, value frequencies, etc.),

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Should you Solicit Social Shares? Data Says… (2 of 2)

ClearVoice

I first ran a regression analysis looking at just one factor (whether they requested claps) and one response (whether they received more claps). This is part two of a two-part series evaluating the practice of soliciting shares in your marketing content.

Building a Business Around Your Website: Going Live & Measuring Success

Marketo

A regression test is the only way to deliver complete and quick testing. I create regression tests in Google Sheets. Every time there’s a new release I run back through the regression test and mark items as pass or fail. Statistically Relevant Requirements: How many visitors do you need to properly test the change in lead conversion? This piece is part of a series surrounding website development best practices as followed by Marketo’s web development team.

10 Excel Tricks Every Marketer Should Know

Hubspot

to get original statistics for a blog), and perhaps more obvious and more common, for data analysis and reporting. 3) Understanding Regression Analysis and the Meaning of R 2. What is regression analysis? Why is regression analysis important?

The Startup’s 4-step Guide to Building Strong Sales Pipeline

DiscoverOrg

You don’t need an advanced regression model to tell you if you sold your first big deals to Financial Services companies with a new CTO. According to the Bureau of Labor Statistics, half all of business don’t survive 5 years. Sales and marketing event season just ended.

Driving action from a customer satisfaction programme

Savanta

Instead, use a statistical technique called Regression Analysis which deduces what matters by observing what happens to your overall satisfaction score when satisfaction scores in one area of the experience move up or down (but scores in other areas remain static). Most companies have a customer satisfaction research programme in place, but not all are made equal.

How to Use Predictive Analytics for Better Marketing Performance

Single Grain

It integrates various techniques from data mining, statistics, modeling, machine learning and artificial intelligence to process and analyze various data sets for the purpose of developing predictions. Statistics : Test the conclusions.

Driving action from a customer satisfaction programme

Savanta

Instead, use a statistical technique called Regression Analysis which deduces what matters by observing what happens to your overall satisfaction score when satisfaction scores in one area of the experience move up or down (but scores in other areas remain static). Most companies have a customer satisfaction research programme in place, but not all are made equal.

Why the Right Data is Critical to Success with AI

Mintigo

Most of the clients we work with are familiar with the concept of AI, along with other related buzzwords like machine learning, regression analysis, and clustering.

3 Easy Ways Content Marketers Can Provide Instant Value to the Sales Teams

Content Marketing Institute

Then, they can use the data on their platform to run regression models or different statistical analysis to forecast or predict the outcomes of various scenarios. Editor’s note: Pam Didner recently authored the book Effective Sales Enablement for marketers.

Live from OpenWorld 2014: Why the Best Data-Driven Marketers Are Decidedly Old-School

Modern Marketing

Others might be easily typecast as “right-brained” tastemakers (imagine a talented creative director or web designer) – if not for their impressive understanding of regression analyses, Chi-squared tests, and other go-to tools in the fledgling field of marketing statistics. Editor's Note: Today's post comes courtesy of Nikki Serapio , Manager of Marketing Community at Oracle.

How Data Mining in CRM will benefit your Business?

Referral Rock

Data Mining involves the process of collecting, storing, and analyzing huge volumes of data for statistical analysis, and also for identifying patterns in the data for discovering new information. Regression : It is the technique of predicting the numerical value of a specific dataset. Guest Post. Himanshu Singh is a marketing specialist at SoftwareSuggest , He is well versed in software platforms like eCommerce platforms, document management, invoicing software.

The 29 Best Web Analytics Tools

Webbiquity

An open source analytics application that provides many of the same website visitor statistics as Google Analytics (pageviews, visits, conversion goals, events) plus click heatmaps and mouse movement recording, with no data logging limits or sampling.

Do our B2B customers really want personalisation?

TaylorMadeIn KEW

Essentially, it’s an assessment of future scenarios using statistical analysis and machine learning to identify the likelihood of specific outcomes based on historical data. I’m back from my B2B marketing mini-sabbatical!

Marketing Vendor Selection: Trends You'll Need to Support

Customer Experience Matrix

An automated approach would eliminate that by using techniques like regression analysis to derive the formulas directly from the data. As I wrote yesterday, no one knows exactly what we’ll want from our marketing automation systems in the future.

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How to Find a Writer Who Won’t Kill Your Content

Content Marketing Institute

Writers for an analytics company, for example, will struggle if they aren’t familiar with concepts like regression analysis. Marketers who don’t offer clear briefs with suggested outcomes, quotes, links, and statistics to their writers are like tappers.

What Is Machine Learning?

QuanticMind

Although machine learning was once primarily a methodology under the larger discipline of artificial intelligence, it’s now become a discipline in its own right because it’s come to rely more heavily on the field of statistics. Regression—Medical Mortality Prediction.

Shredded Wheat or Cap’n Crunch: Making Tough Decisions In Allocating Online Ad Spend

Marketo

A good way to tackle this problem is by mapping out daily cost efficiency and performing some basic regression analysis for each online advertising channel you are considering. Now, for something that appeals to those who love statistics, let me walk you through the process.

Using a Purchase Funnel to Measure Marketing Effectiveness: Better than Last-Click Attribution But Far From Perfect

Customer Experience Matrix

So far as I know, none of the current products does any statistical analysis, such as a regression model, to estimate the true impact of messages at either the individual or campaign level. Summary: Many vendors are now proposing to move beyond "last click" attribution to measure the impact of advertising on movement of customers through a sequence of buying stages. This is a definite improvement but not a complete solution.

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The Ultimate Guide to Marketing Interview Questions From HubSpot's CMO

Hubspot

It's not practical to just "look" at the data when you have 10,000 rows -- you need to use statistical analysis. Use statistical functions in Excel or another program to do that, like summary tables, pivot tables, and so on.

7 Real Marketing Interview Questions From HubSpot's CMO

Hubspot

It's not practical to just "look" at the data when you have 10,000 rows; you need to use statistical analysis. Pay attention, blog readers: I'm going to let you in on a few of my best kept secrets.

How to Measure the ROI of Your Marketing Programs

Marketo

You need to make sure the difference between your control and test groups is statistically significant in comparison with average standard deviations. For more on testing statistics, see Marketo’s The Ultimate Guide to Test Statistics.

WiseGuys Gives Small Firms Powerful List Selection Software

Customer Experience Matrix

DMSI can calculate these values through a regression analysis based on reports extracted from the system. The response reports show detailed statistics by catalog, source and version codes, including mail date, mail quantity, responses, revenue, cost of goods, and derived measures such as profit per mail piece.

Lyzasoft: Independence for Analysts and Maybe Some Light on Shadow IT

Customer Experience Matrix

Lyza also provides basic statistical functions including descriptive statistics, correlation and Z-test scores, a mean vs. standard deviation plot, and stepwise regression.