The DOI matches its Crossref record; 88 of the 93 references it cites were found in a registry or an index.
Can data-driven precision marketing promote user ad clicks? Evidence from advertising in WeChat moments
Overview
Integrity signals
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“On the one hand, in most cases, ad relevance increases the potential to capture users' attention and produce the desired conversions.”
From Computer Estimation of Customer Similarity With Facebook Lookalikes: Advantages and Disadvantages of Hyper-Targeting (2019) · cites this paper as [70]
In the citing paper
“On the one hand, in most cases, ad relevance increases the potential to capture users' attention and produce the desired conversions.”
From Computer Estimation of Customer Similarity With Facebook Lookalikes: Advantages and Disadvantages of Hyper-Targeting (2019) · cites this paper as [69]
Citations
Cites
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Cited by
Sorted by citations
Items 101–124 of 124
Design and Implementation of Network Marketing System Based on Neural Network Algorithm
Cheng, J. (2023) · International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI) · doi:10.1109/icdacai59742.2023.00023
Marketing and psychological analysis based on big data perspective
Li, Y. (2024) · Applied and Computational Engineering · doi:10.54254/2755-2721/40/20230653
Ndadziyira, T. (2023) · DUT Open Scholar (Durban University of Technology) · doi:10.51415/10321/5199
Li, Y. (2023) · International Conference on Computer Simulation and Modeling, Information Security (CSMIS) · doi:10.1109/csmis60634.2023.00066
Mecinas-Cantos, R., & Martínez‐Ruiz, M. P. (2024) · Observatorio (OBS*) · doi:10.15847/obsobs18220242343 · Cited by 1
Wang, Y., Zhang, X., & Xiao, Q. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4886849
China’s real estate agents’ persuasion realizations on WeChat Moments
He, J., & Xia, D. (2024) · Pragmatics Quarterly Publication of the International Pragmatics Association (IPrA) · doi:10.1075/prag.22062.he
Ubiquitous Business Model and Strategy of WeChat as a Platform in E-Commerce Development
Hossain, S. F. A., Mohiuddin, K., Tushar, H., & Luz, B. (2024) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83753-292-620241004 · Cited by 1
Untact, Immersive, and Hyperpersonalized
More, P., & Sapre, S. (2024) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/979-8-3693-7673-7.ch013
Mecinas-Cantos, R., Martínez‐Ruiz, M. P., & González-González, I. (2025) · Retos · doi:10.17163/ret.n29.2025.05
A study on the visual effect and user response of infomercials based on neural network analysis
Xia, Y., Rosli, A. B., & Alwie, A. (2025) · Applied Mathematics and Nonlinear Sciences · doi:10.2478/amns-2025-0961
Wang, Y., Zhang, X., & Xiao, Q. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2570397
Wang, L.-H., Li, F.-A., & Liu, Z.-H. (2025) · Applied Economics · doi:10.1080/00036846.2025.2597471
Liao, L., & Huang, T. (2025) · Information Technology and Management · doi:10.1007/s10799-025-00476-z
Modeling Click Intention in E-Commerce Advertising a Hybrid PLS-SEM and ANN Approach
Ngo, T. Q., & Ly, M. D. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-4392-1.ch010
Sun, Y., Wang, H., Yang, Y., & He, H. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5343399
What drives smartphone users to click on the in-app advertisements? An S-O-R model approach
Kashyap, S., Mishra, S. K., & Salunke, P. (2026) · The Journal of Marketing Theory and Practice · doi:10.1080/10696679.2026.2629473 · Cited by 1
Ou, C. E., Wong, I. A., & Lian, Q. L. (2026) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2026.104641
New advertising model for the society 5.0 Era
YAZICI, H. H. (2026) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2026.1854534
Weinlich, I., & Semerádová, T. (2026) · International Journal of Information Management Data Insights · doi:10.1016/j.jjimei.2026.100441
Jafari, M., Makki, M., & Parsanejad, M. (2026) · Future Business Journal · doi:10.1186/s43093-026-00992-6
Kim, H., Choi, S., & Shin, H. H. (2026) · Journal of Business Research · doi:10.1016/j.jbusres.2026.116556
265Chapter 11 Algorithmic Transparency and the Right of Refusal Among Latin American Youths
Dodds, T., & Chengyuan, L. (2026) · De Gruyter eBooks · doi:10.1515/9783111193991-012
Zhao, Z.-X., Jia, M.-L., Tai, X.-J., & Wu, Z.-Q. (2026) · Telematics and Informatics Reports · doi:10.1016/j.teler.2026.100381
Metadata
- Authors
- Yu, C., Zhang, Z., Lin, C., & Wu, Y. J.
- Affiliations
- South China University of Technology (CN)
- Huaqiao University (CN)
- National Taiwan Normal University (TW)
- Corresponding author
- Wu, Yenchun Jim
- Venue
- Industrial Marketing Management
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 90
- Pages
- 481-492
- ISSN
- 0019-8501 (ISSN-L)
- OpenAlex
- W2946708860
- Cited by
- 124
- References
- 93
- Citations by year
- 2026: 13 · 2025: 19 · 2024: 19 · 2023: 18 · 2022: 17 · 2021: 21 · 2020: 15
- FWCI
- 27.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Industrial Marketing Management (publishedVersion)
- Funders
- Ministry of Science and Technology, Taiwan (106-2511-S-003-029-MY3)
- National Office for Philosophy and Social Sciences (18CGL014)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- precision marketing, WeChat Moments, cue utilization theory, product involvement, brand familiarity, visual appeal, information quality, trust, privacy concerns, consumer perception
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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