Second Brain

Tag: topic/market-response

127 items with this tag.

Nov 09, 2026
SDID for Geo Experiments and Marketing Panels
Nov 09, 2026
Bayesian Media Mix Modeling - Overview
Nov 09, 2026
BG-NBD Model
Nov 09, 2026
Bayesian and Hierarchical Extensions of CLV Models
Nov 09, 2026
Customer Lifetime Value - Overview
Nov 09, 2026
Gamma-Gamma Model of Monetary Value
Nov 09, 2026
Pareto-NBD Model
Nov 09, 2026
RFM Sufficient Statistics and Iso-Value Curves
Nov 09, 2026
Shifted-Beta-Geometric Model for Contractual Retention
Nov 09, 2026
Conversion Lift Studies on Ad Platforms
Nov 09, 2026
Experimental Benchmarks for Observational Ad Measurement
Nov 09, 2026
From ITT to Treatment-on-the-Treated in Ad Experiments
Nov 09, 2026
Identity Fragmentation and the Privacy-Era Limits of User-Level Tests
Nov 09, 2026
Intent-to-Treat, PSA and Ghost Ad Designs
Nov 09, 2026
Predicted Ghost Ads and Ghost Bids Mechanics
Nov 09, 2026
The Unfavorable Economics of Ad Experiments - Power and Signal-to-Noise
Nov 09, 2026
User-Level Ad Experiments - Overview
Nov 09, 2026
User-Level vs Geo-Level Experiments - When to Use Which
Nov 09, 2026
TBR Design Sensitivity and the Stationarity Assumption
Nov 09, 2026
Lewis Rao 2015 - Impact-to-SD Ratio Derivation and Calibrated Campaign
Nov 09, 2026
Blake 2015 - Consumer and Product Heterogeneity in Paid Search Response
Nov 09, 2026
Chan Perry 2017 - Selection Bias in MMM (Ad Targeting, Seasonality, Funnels, Endogenous Controls)
Nov 09, 2026
AMSS Sales Event - Demand Curves, Competition and Post-Purchase Migration
Nov 08, 2026
Bayesian Estimation and Priors for MMM
Nov 08, 2026
Gordon et al 2019 - Sensitivity to Unobservables and Bias-Reduction Ratio
Nov 08, 2026
Marketing Generalizations Overview
Nov 08, 2026
Geo-Experiment Design and Power Analysis
Nov 08, 2026
Geo-Experiment Methodology - Overview
Nov 08, 2026
Gordon et al 2019 - Facebook RCTs vs Observational Ad Measurement - Overview
Oct 13, 2026
Q: How should a geo-lift or A/B experiment result become a prior in a Bayesian media mix model, and what should happen when the experiment and the MMM disagree?
Oct 13, 2026
Carryover (Adstock) Functional Forms
Oct 13, 2026
Jin 2017 MMM - Conclusions, Limitations and Extensions
Oct 13, 2026
Jin 2017 MMM - Prior Sensitivity Experiments on Beta and Half-Saturation
Oct 13, 2026
Jin 2017 MMM - STAN Sampler Code and MCMC Implementation
Oct 13, 2026
Jin 2017 MMM - Sample Size vs Bias Study (Two vs Sixty Years)
Oct 13, 2026
Jin 2017 MMM - Shampoo Case Study Data, Diagnostics and Posteriors
Oct 13, 2026
Jin 2017 MMM - Simulated ROAS, mROAS and Optimization Results
Oct 13, 2026
Jin 2017 MMM - Simulation Design, Signal Strength and Priors
Oct 13, 2026
MMM Model Selection and Application
Oct 13, 2026
ROAS, mROAS, and Optimal Media Mix
Oct 13, 2026
Shape (Saturation) Effects
Oct 13, 2026
Carryover Effects and Distributed Lags
Oct 13, 2026
Shape of the Marketing Response Function
Oct 13, 2026
Optimal Marketing Decisions and Forecasting
Oct 13, 2026
Price and Distribution Effects
Oct 13, 2026
Model Selection and Exploratory Analysis
Oct 13, 2026
Model Testing and Specification
Oct 13, 2026
Aggregation of Relations
Oct 13, 2026
Empirical Causal Ordering
Oct 13, 2026
Multivariate Persistence and Cointegration
Oct 13, 2026
Single Marketing Time Series
Oct 13, 2026
Gordon et al 2019 - Conclusions, Caveats and Related Literature
Oct 13, 2026
Gordon et al 2019 - Facebook Experiment Design and Exposure Endogeneity
Oct 13, 2026
Gordon et al 2019 - Observational Lift Estimates by Study and Method
Oct 13, 2026
Gordon et al 2019 - Propensity Estimation, Bootstrap Inference and Balance Diagnostics
Oct 13, 2026
Gordon et al 2019 - RCT Estimands, Unconfoundedness and Six Observational Estimators
Oct 13, 2026
Gordon et al 2019 - RCT ITT and ATT Lifts for 15 Studies
Oct 13, 2026
Gordon et al 2019 - Reference List and Cited Literature
Oct 13, 2026
Gordon et al 2019 - Study Sample, Covariate Sets and Randomization Check
Oct 13, 2026
Lewis Rao 2015 - Market Implications, Persuasion Games and Conclusion
Oct 13, 2026
Lewis Rao 2015 - Reference List and Cited Literature
Oct 13, 2026
Lewis Rao 2015 - Robustness, Scale, Targeting and Measurement Technology
Oct 13, 2026
Lewis Rao 2015 - Table I Summary of the 25 Yahoo Display Experiments
Oct 13, 2026
Lewis Rao 2015 - Table II Estimation Protocol, Windows and ROI Standard Errors
Oct 13, 2026
Lewis Rao 2015 - Table III Power and Experiment Size Multipliers
Oct 13, 2026
Lewis Rao 2015 - The Advertiser's Problem and Marginal ROI
Oct 13, 2026
Lewis Rao 2015 - Unfavorable Economics of Ad Measurement - Overview
Oct 13, 2026
Blake 2015 - Brand Keyword Experiments and Paid-Organic Substitution
Oct 13, 2026
Blake 2015 - Discussion, Limitations and Lessons for Marketing Measurement
Oct 13, 2026
Blake 2015 - Non-Brand DMA Geo Experiment and DiD Estimates
Oct 13, 2026
Blake 2015 - Non-Brand Traffic Substitution (Clicks vs Visits)
Oct 13, 2026
Blake 2015 - OLS vs IV Spend Elasticities and the Endogeneity Gap
Oct 13, 2026
Blake 2015 - ROI Derivation from Experimental Log-Sales Effects
Oct 13, 2026
Blake 2015 - SEM Mechanics and the Endogeneity of Click-Priced Spend
Oct 13, 2026
Blake 2015 - Working Paper vs Econometrica Version Differences
Oct 13, 2026
Blake Nosko Tadelis 2015 - Paid Search Effectiveness - Overview
Oct 13, 2026
Index: Paid Search Field Experiment (Blake et al 2015)
Oct 13, 2026
User-Level Ad Experiments - Index
Oct 13, 2026
Index: Market Response Models
Oct 13, 2026
Chan Perry 2017 - Challenges in Media Mix Modeling - Overview
Oct 13, 2026
Chan Perry 2017 - Five Plausible MMMs (Model Selection and Model Uncertainty)
Oct 13, 2026
Chan Perry 2017 - MMM Data Limitations (156 Rows, Correlated Channels, Narrow Spend Range)
Oct 13, 2026
Chan Perry 2017 - MMM Data Sources and the Additive Regression Specification
Oct 13, 2026
Chan Perry 2017 - Opportunities (Better Data, Bayesian, Category, Geo, Controls, Graphs)
Oct 13, 2026
Chan Perry 2017 - Simulation-Based MMM Validation and Transparency
Oct 13, 2026
Chan Perry 2017 - Why Experiments and Matching Fall Short for MMM Questions
Oct 13, 2026
AMSS Discussion, Limitations and Validation Practice
Oct 13, 2026
AMSS Ground Truth - Counterfactual Scenarios and Simulated ROAS
Oct 13, 2026
AMSS Hidden-State Consumer Segmentation and Migration Formalism
Oct 13, 2026
AMSS MMM Evaluation - Simple Scenario and Lagged-Effects Study
Oct 13, 2026
AMSS Motivation - Virtual Experiments for Marketing Measurement
Oct 13, 2026
AMSS Natural Migration, Satiation and Lagged-Effect Mechanics
Oct 13, 2026
AMSS Paid Search Module (Queries, Auction, Organic vs Paid)
Oct 13, 2026
AMSS Traditional Media Module (Reach, Frequency, Hill Effect)
Oct 13, 2026
Zhang Vaver 2017 - Aggregate Marketing System Simulator - Overview
Sep 23, 2026
Q: What would continuous learning look like in media measurement, given that media has interaction effects and learning all interactions is costly or needs more cells than available techniques support?
Sep 23, 2026
Q: How does advertising carryover (adstock) violate the assumptions of switchback experiments, always-valid sequential tests and geo tests, and what design changes fix it?
Sep 23, 2026
Q: What changes in the ROAS / mROAS optimization if the outcome is customer lifetime value rather than sales, given that CLV is a model-based forecast observed with delay and censoring?
Sep 23, 2026
Q: The Kalman filter appears in the vault in three places — BSTS / CausalImpact, the linear-Gaussian state-space notes, and probabilistic ODE solvers (plus Gauss–Markov priors in probabilistic numerics). What is shared, what differs, and what does seeing them together buy?
Sep 23, 2026
Q: When can LLM 'silicon samples' stand in for consumer data or hand-written decision rules in an agent-based model, and what validation protocol is needed?
Sep 23, 2026
Customer Lifetime Value - Index
Sep 23, 2026
Market Response Models - Overview
Sep 23, 2026
Response Models for Marketing Management
Sep 18, 2026
Q: Chinchilla compute-optimal training, optimal media mix under saturating response (ROAS / mROAS, Dorfman–Steiner), and power analysis / experimental design are all budget-allocation problems under diminishing returns. What transfers between them, and what does not?
Sep 18, 2026
Q: For one geo-test dataset, when would Time-Based Regression, CausalImpact (BSTS), synthetic control, generalized synthetic control, synthetic difference-in-differences and Bayesian DiD give different answers, and which assumption drives each difference?
Sep 18, 2026
Q: CUPED, regression adjustment, double/debiased ML residualization and CausalImpact covariates all 'adjust for other variables'. When is adjustment for precision, and when is it for identification — and what goes wrong when the two are confused?
Sep 18, 2026
Design of Dynamic Response Models
Sep 18, 2026
Reaction Functions and Competitive Dynamics
Sep 18, 2026
Advertising and Promotion Effects
Sep 18, 2026
Time-Based Regression Estimator for Geo Experiments
Sep 18, 2026
Functional Forms in Marketing
Sep 18, 2026
Transfer Function Model
Sep 18, 2026
Markets Data and Sales Drivers
Jul 04, 2026
Q: When should continuous media learning use Bayesian experimental design vs Bayesian optimization vs a bandit?
Jul 04, 2026
Q: How would a geo-holdout experiment be encoded as a design ξ and its EIG computed against an MMM posterior?
Jul 01, 2026
Q: How do adstock/carryover dynamics interact with the timing of sequential media experiments (delayed outcomes)?
Jul 01, 2026
Index: Dynamic Response Models
- type/index
- topic/market-response
Jul 01, 2026
Index: Empirical Findings and Applications
- type/index
- topic/market-response
Jul 01, 2026
Index: Estimation and Testing
- type/index
- topic/market-response
Jul 01, 2026
Index: MRM Introduction
- type/index
- topic/market-response
Jul 01, 2026
Index: Static Response Models
- type/index
- topic/market-response
Jul 01, 2026
Index: Time Series Analysis
- type/index
- topic/market-response
Jun 28, 2026
Market Share Models
Apr 12, 2026
Parameter Estimation in Market Response
Apr 12, 2026
Design of Static Response Models
Apr 12, 2026
Implementation of Market Response Models
Apr 12, 2026
Flexible Functional Forms

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