Search and content discovery · Customer-level longitudinal lifetime-value model
Measuring the Lifetime Value of Customers Acquired from Google Search Advertising
Chan, T. Y., Wu, C., & Xie, Y. (2011). Marketing Science, 30(5), 837–850.
Plain-English take
Customers acquired through Google search advertising had higher transaction rates than customers from other channels in this study. For your marketing: Track customer lifetime across channels when estimating paid-search value.
How much weight to give this
2.5/5 Limited or context-dependent evidence
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.
This is observational evidence; selection or unmeasured differences may affect the result.
A usable sample size is not stated in the profile's accessible source.
Statistical adjustment is not the same as random assignment; review the controls and assumptions.
This profile could be checked against an abstract or metadata, not the full paper.
Double-blind? Not applicable in the same way as a participant-treatment experiment.
Research question
What the authors investigated
How should firms estimate the long-term value of customers acquired through paid search, including purchases that occur offline?
Design
The authors merge web-traffic and sales data from a small U.S. firm into a customer-level panel tracking repeated online and offline purchases and Google-search referrals. They jointly model customer lifetime, transaction rate and gross margin.
Sample and setting
Customers of one small U.S. firm with multichannel purchases; the abstract does not report customer count.
Reported result
What the study found
Customers acquired through Google search advertising had higher transaction rates than customers from other channels in this dataset. Including future purchases and offline spillovers produced substantially higher customer values than the conventional method used for comparison.
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
A single small firm and its channel mix; results do not establish that paid search always acquires higher-value customers. The study's period and search-ad environment differ from today's platforms.
Possible founder application
Track customer lifetime across channels when estimating paid-search value. Include repeat purchases and offline or sales-assisted spillovers instead of stopping at a platform-attributed conversion.
Evidence access
Publisher abstract and author-hosted article page
INFORMS publisher record and first-author-hosted abstract; data source, model and findings are described on the article page.
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.