Skip to content
J·BJon BishopIndependent growth marketer

Buyer behavior · Dynamic mailing-policy model estimated on historical catalog data and evaluated in a large-scale field test.

Dynamic Catalog Mailing Policies

Management Science · 2006

Duncan I. Simester, Peng Sun, John N. Tsitsiklis

Summary

The dynamic model received support in the field test, while results also identified opportunities for improvement over the model.

For your marketing

Possible founder application

Use as a behavioral mechanism or experiment-design reference, not a direct forecast for a SaaS funnel.

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.

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.

Scope and transfer

Limitations to keep in view

One catalog firm and policy evaluation; abstract explicitly notes further improvement opportunities.

Research sources

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.

Prefer to write? Send Jon a message.