Customer behavior and adoption · Dynamic mailing-policy model estimated on historical catalog data and evaluated in a large-scale field test.
Dynamic Catalog Mailing Policies
Duncan I. Simester, Peng Sun, John N. Tsitsiklis (2006). Dynamic Catalog Mailing Policies. Management Science. https://doi.org/10.1287/mnsc.1050.0504.
Plain-English take
The dynamic model received support in the field test, while results also identified opportunities for improvement over the model. For your marketing: Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
How much weight to give this
2.5/5 Evidence needs cautious interpretation
The 1–5 evidence-check score is a practical reading aid, not a formal peer review or a probability that a conclusion is true. It combines design strength (2 points), sample reporting (1), comparison/control clarity (1), and how much of the paper could be checked (1). Access affects how confidently this directory can assess a study, not the study's underlying quality. Blinding is reported separately because it is not relevant to every design.
Dynamic mailing-policy model estimated on historical catalog data and evaluated in a large-scale field test.
Large historical sample from a mail-order catalog firm plus field-test customers.
Judged from the publisher-described design and comparison; inspect the paper for complete analysis.
Publisher page and abstract were retrieved directly; full text was not assumed open.
Double-blind? Blinding was not established from the retrieved publisher record.
Research question
What the authors investigated
Can dynamic, long-run-aware catalog mailing outperform myopic likelihood-of-immediate-order targeting?
Design
Dynamic mailing-policy model estimated on historical catalog data and evaluated in a large-scale field test.
Sample and setting
Large historical sample from a mail-order catalog firm plus field-test customers.
Reported result
What the study found
The dynamic model received support in the field test, while results also identified opportunities for improvement over the model.
This is a paraphrase of the source. Check the original paper for definitions, estimates, statistical uncertainty and analysis details.
Scope and transfer
Limitations to keep in view
One catalog firm and policy evaluation; abstract explicitly notes further improvement opportunities.
Possible founder application
Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.
Evidence access
Publisher record and abstract retrieved; consult the linked paper for full methods and tables.
Publisher abstract states historical-data application and large-scale field test, with support and improvement opportunities. Direct publisher-page retrieval was recorded on 2026-10-09; this profile uses the publisher abstract/metadata and does not claim independent review of unavailable full text.
If only an abstract or metadata was available, the profile is limited to claims supported there. A paper's paywall does not change its evidentiary status, but it limits what we can substantiate from accessible text.