ScholarForce Blog
Manual
Brand Signaling: Building a Strong Brand Image
In the age of information explosion, how does a brand send signals and build trust? This article introduces core principles and practical methods of brand signaling.
Incentive Mechanism Design: Building Effective User Incentive Systems
How to design effective incentive mechanisms that keep users active and actively referring? This article introduces core principles and practical methods of incentive mechanism design.
Game Theory and Marketing Strategies: Competitive Strategies and Pricing Decisions
In intense market competition, how do you make optimal decisions? Game theory provides a scientific analytical framework to help you gain competitive advantages.
Consumer Behavior Analysis: Deep Insights into User Decision-Making
How do consumers make purchase decisions? This article introduces core methods of consumer behavior analysis to help you understand user psychology and optimize marketing strategies.
Synthetic Control Method: Analyzing the Impact of Policy Changes on the Market
When traditional control groups are unavailable, Synthetic Control Method (SCM) accurately evaluates the impact of policy changes, market interventions, and major events by constructing a synthetic control group.
Event Study: Evaluating the Impact of Brand Activities on the Market
Event Study is a core method in finance and marketing for evaluating the specific impact of brand activities, policy changes, and major events on businesses.
Regression Discontinuity Design (RDD): Discovering Optimal Pricing and Ad Spend Thresholds
Regression Discontinuity Design (RDD) helps marketers discover key thresholds: What's the optimal price? How much ad spend is appropriate? What's the best threshold for discount campaigns?
Instrumental Variables (IV): Solving Endogeneity Problems in Marketing
When there's a two-way causal relationship between marketing activities and sales, traditional analysis methods fail. Instrumental Variables (IV) helps us solve this tricky problem.
Difference-in-Differences (DID): The Tool for Evaluating Marketing Campaign Effectiveness
Difference-in-Differences (DID) is the most commonly used causal inference method in marketing, helping you evaluate the true effectiveness of marketing campaigns by excluding other factors.
Causal Inference: A Must-Have Skill for Marketers
In marketing, we often face a core question: Did users buy our product because of our marketing activities, or because of other factors? Causal inference helps us answer this critical question.