Marketing Analytics Section 1
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Marketing Analytics Section 1

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Questions and Answers

What is the formula for calculating the break-even point?

  • Break even = Total Fixed Costs / Contribution Margin per Unit (correct)
  • Break even = Total Variable Costs / Contribution Margin per Unit
  • Break even = Contribution Margin per Unit / Total Fixed Costs
  • Break even = Contribution Margin per Unit * Total Fixed Costs
  • Which of the following is NOT a characteristic of fixed costs?

  • They are incurred regardless of production volume.
  • They remain constant regardless of the sales level.
  • They vary proportionally with changes in sales volume. (correct)
  • They include expenses like rent and salaries.
  • In the context of regression analysis, what does the term 'B1' represent?

  • The value of the independent variable.
  • The slope of the regression line. (correct)
  • The value of the dependent variable.
  • The intercept of the regression line.
  • Which of the following is NOT a benefit of using regression analysis?

    <p>Determining the impact of marketing campaigns on specific target groups.</p> Signup and view all the answers

    What is the primary purpose of marketing mix models?

    <p>Measuring the impact of marketing campaigns on the 4 Ps.</p> Signup and view all the answers

    What does ROAS measure?

    <p>The short-term performance of a marketing campaign.</p> Signup and view all the answers

    Which type of chart is most suitable for visualizing the proportion of each customer segment within the total population?

    <p>Pie Chart</p> Signup and view all the answers

    What is the primary purpose of using perceptual charts in marketing?

    <p>Visualizing customer perceptions of brands or products to identify clusters.</p> Signup and view all the answers

    Which of the following is NOT a step in goal planning for marketing campaigns?

    <p>Analyzing customer data to identify purchasing patterns.</p> Signup and view all the answers

    Study Notes

    Types of Marketing Analytics

    • Descriptive Analytics: examines past data for insights, a common forerunner to predictive or prescriptive analysis
    • Key questions in Descriptive Analytics:
    • Alerts: "What actions are needed?"
    • Query/Drill Down: "What exactly is the problem?"
    • Ad-hoc: "How many, how often, where?"
    • Standard Report: "What happened?"
    • Business Metrics: evaluate performance against goals, such as efficiency and revenue
    • Data Analysis Process:
    • Data Required: extracted from reports or databases
    • Data Collection: ensures accuracy and cleanliness
    • Data Analysis: utilizes statistical techniques for pattern identification
    • Data Presentation: communicates findings through charts and graphs
    • Predictive Analytics: forecasts future brand trajectory and potential client lifespan
    • Key questions in Predictive Analytics:
    • Optimization: "What is the best that can happen?"
    • Predictive: "What will happen next?"
    • Randomized: "What if we try this?"
    • Statistical Analysis: "Why is this happening?"

    Marketing Plan

    • Objectives:
    • 5 C's: customer analysis, company assessment, competitor research, collaborator evaluation, context understanding
    • Strategy
    • Segmentation, Targeting, Positioning
    • SWOT and PEST Analysis:
    • SWOT: internal analysis
    • PEST: external analysis (Political, Economic, Social, Technological)
    • Tactics:
    • 4 P's: Product, Price, Place, Promotion

    Brand Personality and Architecture

    • Brand Personality:
    • Characteristics attributed to a brand
    • Consistency across messaging, images, and campaigns
    • Emotional connection with the target audience
    • Brand Architecture:
      1. Brand Core
      1. Brand Personality
      1. Emotional Benefits
      1. Product Benefits
      1. Product Attributes

    Customer Lifetime Value (CLV)

    • CLV: a metric in predictive analysis for estimating the total value a customer brings over their relationship
    • Uses of CLV in Marketing:
    • Customer Segmentation and Targeting: identifies high-value customers for targeted marketing strategies
    • Customer Relationship Management (CRM): shapes CRM strategies to enhance customer experience and retention
    • Product Development and Service Enhancement: influences product development based on insights from high CLV customers
    • Forecasting and Long-Term Planning: aids in strategic business decisions regarding growth and expansion

    Break Even Analysis

    • Formula: Break even = Total Fixed Costs / Contribution Margin per Unit
    • Total Fixed Costs: costs that do not vary with sales level or marketing scope
    • Contribution Margin per Unit: revenue from each sale contributing to covering fixed costs and profit

    Charts and Graphs

    • Graphs/Scatter Plots: visualize relationships between two variables to identify clusters
    • Bar Charts: compare frequency or distribution of categories within a dataset
    • Pie Charts: illustrate the proportion of each cluster within the total population
    • Frequency Tables: tabular representation of the distribution of values within a dataset
    • Contingency Tables: show the relationship between two categorical variables
    • Perceptual Charts: visualize customer perceptions of brands or products to identify clusters

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    Description

    This quiz covers the first section of marketing analytics, including descriptive analytics and business metrics. It explores how to examine past data for insights and evaluate performance against goals.

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