Apple’s Taylor Swift Marketing Campaign Analysis

Elections eBook

Michael Lieberman's practical ebook, Giving You The Edge - The Science of Winning Elections, identifies and explains the use of key research methodology and multivariate analysis in supporting political campaign goals through the various stages of an election, including a summary chart matching objectives, analytical techniques and results.

Managing Sideways – A Guide to When Things Go Wrong, published in Research World Magazine, is a case study of issues such as sub-contracting, project creep, and indecisive clients.

The article in Admap Magazine, Loyalty is the Big Enchilada, discusses how raising their Net Promoter Score can exponentially increase visit frequency and sales for restaurants and retail outlets.

tgif-150x150Grow Restaurant Dining Visits, in Admap Magazine, contrasts brand ratings with operational attributes to determine which factors are most important for increasing visits.

Regression Analysis – Predicting Key Drivers analyzes a studies in which the client sought to uncover the attribute or attributes among those you measured that best define your client’s customer satisfaction, usage drivers, or leading cause of switching to a competitor’s brand.

How the Performance Score Can Simplify Data examines a wide range of data can be simplified.

A Good Choice for Choice Modeling looks at the Max-Diff option.

A Walk Through Discriminant Analysis explores choosing predictor variables.

A Look Inside the Choice Toolbox examines how to select the most appropriate choice model from these five most commonly used ones: Paid-comparison Analysis, Conjoint Analysis, Discrete Choice Modeling, Max-Diff, and Adaptive Choice Analysis.

Helping Wrangle Big Data: Monte Carlo for Marketing Research explains the usefulness of Monte Carlo simulations for ROI, loyalty, product development, customer satisfaction and regression modeling.

Steering the Vote – The Case of the Oglala Sioux Casino explains how regression analysis can indicate which issues in a referendum campaign motivate supporters and which move voters to become supporters.

Small Data Visualization by Michael Lieberman presents two examples for examining primary research – a two-step cluster analysis and a data-mining example that takes existing consumer purchase data and reports the items in which the client should specialize to connect to the greatest number of other products.

A Compendium of Brand Measurement discusses various Branding measurements, such as Brand Awareness, Brand Image, Brand Equity, Brand Reputation, Brand Mindshare and Point Allocations.

Brand Equity and Discrete Choice Models as explained in this Quirk’s Magazine article, is an example of a method by which we are able to assign an exact dollar-value to a brand name and replicate brand performance is a real-world marketplace.

What’s in a Name? It all starts with a name. Just as each of us has a name at the core of our individual sense of identity, so brands have names as the basis of their visual and verbal identities. Specific methodology tests and validates naming choices.

Building and Measuring Brand Personality differentiates brand image, denoting tangible benefits and attributes, from brand personality, the emotional associations of a brand.

Mining the Silent Evidence discusses intricacies of brand funnels and filters for discovering opportunities and consumer groups to target.

A Step Further – Measuring Improvement of NPS explains how to discover which factors improve the Net Promoter Score metric which reflects consumers’ recommendations of a product or brand.

Michael Lieberman is the co-author of Marketing Research Insights: 22 Visual Displays, a compilation of practical, real-world visual display examples for enhancing market research data reports and presentations. The ebook includes sections such as Research Process, Customer Satisfaction, Competitive Analysis, Win/Loss Research, and Brand Awareness, and the charts are accompanied by usage tips.

Revenue Forecasting – Is there Money in Mouth Pain? answers the question, ‘How much money, potentially, can a new over-the-counter mouth pain relief medicine make.’

We all think we’re great – Measuring Social Desirability demonstrates the importance of properly phrasing survey questions for validity.

The Price Toolbox is an article published in Admap Magazine summarizing various pricing methods and their effectiveness.

Multivariate Pricing, published in Research World Magazine, explains how to base prices on consumers’ perception of value.

Enhanced Customer Segmentation – Targeting the Golden Egg is an application of multi-dimensional cluster analysis and water-fall direct marketing techniques.

The Power of Segmentation examines the price differences various segments of drivers are willing to pay for gasoline.

Segmenting the Burger Market is a key communication strategy for the fast-food industry.

Design Performance – The Kano Model, published in Quirk’s Marketing Research Review, offers insight into product attributes perceived to be important to customers. The purpose of the tool is to support product specification and discussion through better development team understanding on differentiating product features, as opposed to focusing initially on customer needs, then forming strategic communications to meet those needs.

Recession Lessons: How Research Buyers and Suppliers Can Cope was published in Quirk’s Marketing Research Review

How Research Can Find The Truth About Respondents’ Bad Behavior addresses how to collect accurate data which is subject to social desirability pressures.

Tacos in Tel Aviv, published in Quirk’s Marketing Research Review, demonstrates how a Monte Carlo simulation analyzed the primary survey research in a market forecast feasibility study about bringing a chain of upscale Mexican restaurants to Israel’s Silicon Valley.

Small Data Visualization, published in Quirk’s Marketing Research Review, presents two examples for examining primary research – a two-step cluster analysis and a data-mining example that takes existing consumer purchase data and reports the items in which the client should specialize to connect to the greatest number of other products.