Intro to Marketing: Marketing Research - Quantitative Methods, Surveys Experiments Panels

What This Is

Quantitative methods in marketing involve using data and statistical analysis to inform business decisions. This includes surveys, experiments, and panels to gather insights on customer behavior, preferences, and attitudes. For instance, Nike uses customer feedback from surveys to improve its product design and marketing campaigns. By understanding what customers want, Nike can create targeted marketing strategies that drive sales and brand loyalty.

Key Frameworks & Metrics

• STP (Segmentation, Targeting, Positioning): Divides the market, selects the most attractive segment(s), and crafts a unique value proposition. Practical use: Identify the target audience for a new product launch.
• NPS (Net Promoter Score): Measures customer loyalty by asking how likely they are to recommend the brand – a key CX metric. Practical use: Track customer satisfaction and loyalty over time.
• A/B Testing: Compares two versions of a marketing campaign or product feature to determine which one performs better. Practical use: Optimize digital marketing campaigns for better ROI.
• Customer Journey Map: Visualizes the customer's experience across multiple touchpoints to identify pain points and opportunities for improvement. Practical use: Improve customer experience and loyalty.
• ROAS (Return on Ad Spend): Measures the revenue generated by a marketing campaign compared to its cost. Practical use: Evaluate the effectiveness of digital marketing campaigns.
• CAC (Customer Acquisition Cost): Measures the cost of acquiring a new customer. Practical use: Set realistic sales targets and allocate marketing budgets.
• LTV (Lifetime Value): Estimates the total value a customer will bring to a business over their lifetime. Practical use: Set realistic customer acquisition targets and allocate marketing budgets.
• Experimentation Design: A systematic approach to designing and analyzing experiments to test marketing hypotheses. Practical use: Develop data-driven marketing strategies.
• Surveys: Collects data from a sample of customers or prospects to gather insights on their attitudes, preferences, and behaviors. Practical use: Gather customer feedback and preferences.
• Panel Data: Collects data from a representative sample of customers or prospects over time to track changes in their attitudes, preferences, and behaviors. Practical use: Track customer satisfaction and loyalty over time.

Step-by-Step Process

1. Define the research question: Clearly articulate the problem or opportunity you want to address through quantitative methods.
2. Design the research methodology: Choose the most suitable quantitative method (e.g., survey, experiment, panel) to answer the research question.
3. Collect and analyze data: Gather and analyze data using statistical techniques (e.g., regression, ANOVA) to identify patterns and trends.
4. Interpret results: Draw conclusions from the data analysis and communicate findings to stakeholders.
5. Implement recommendations: Use the insights gained from the quantitative analysis to inform marketing strategies and tactics.
6. Monitor and evaluate: Continuously monitor and evaluate the effectiveness of marketing strategies and tactics using quantitative metrics.

Common Mistakes

• Mistake: Confusing market segmentation with personas. Correction: Market segmentation involves dividing the market into distinct groups based on demographics, behavior, or needs, while personas are fictional representations of ideal customers.
• Mistake: Relying only on last-click attribution. Correction: Use multi-touch attribution models to accurately measure the impact of each marketing touchpoint on customer behavior.
• Mistake: Ignoring LTV when setting CAC. Correction: Consider the lifetime value of a customer when setting customer acquisition targets to ensure sustainable growth.
• Mistake: Failing to account for sampling bias in surveys. Correction: Use representative sampling techniques and weight data to ensure accurate results.

Marketing Strategy Tips

• When using A/B testing, avoid over-testing and under-testing. Over-testing can lead to analysis paralysis, while under-testing can result in missed opportunities for improvement.
• When designing a customer journey map, focus on the customer's emotional journey, not just the functional aspects. This will help you identify opportunities to create emotional connections with customers.
• When evaluating the effectiveness of marketing campaigns, use a combination of quantitative and qualitative metrics. This will provide a more comprehensive understanding of campaign performance.

Quick Practice Scenario

Scenario: A D2C brand's ROAS dropped from 4x to 2x after scaling Facebook ads. What analysis would you perform to diagnose the issue?

Answer: Analyze the campaign's targeting, ad creative, and bidding strategy to identify potential issues. Use data from Facebook's Ads Manager to track campaign performance and identify areas for improvement.

Explanation: By analyzing the campaign's targeting, ad creative, and bidding strategy, you can identify potential issues that may have contributed to the decline in ROAS.

Last-Minute Cram Sheet

• 'Brand equity' is not just awareness – it includes perceived quality, loyalty, and brand associations.
• ROAS = Revenue / Ad Spend
• LTV = (Average Order Value x Purchase Frequency) / Customer Acquisition Cost
• NPS = % of Promoters - % of Detractors
• A/B testing involves comparing two versions of a marketing campaign or product feature.
• Customer journey mapping involves visualizing the customer's experience across multiple touchpoints.
• Experimentation design involves a systematic approach to designing and analyzing experiments.
• Surveys involve collecting data from a sample of customers or prospects to gather insights on their attitudes, preferences, and behaviors.
• Panel data involves collecting data from a representative sample of customers or prospects over time.
• Sampling bias occurs when a sample is not representative of the population.