The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Mapping the customer journey: Lessons learned from graph-based online attribution modeling
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Citations
Cites
Adhi Harmoko, S., M.Komp, Jacquard, J. M., Zuse, K., & Eniac (2005) · Cited by 18,035
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
He, H., & Garcia, E. A. (2009) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2008.239 · Cited by 10,359
Grossman, P. (2009) · Discrete Mathematics for Computing · doi:10.1007/978-0-230-37405-8_1 · Cited by 8,834
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Bradley, A. P. (1997) · Pattern Recognition · doi:10.1016/s0031-3203(96)00142-2 · Cited by 7,217
Return on Marketing: Using Customer Equity to Focus Marketing Strategy
Rust, R. T., Lemon, K. N., & Zeithaml, V. A. (2004) · Journal of Marketing · doi:10.1509/jmkg.68.1.109.24030 · Cited by 2,151
When Does Retargeting Work? Information Specificity in Online Advertising
Lambrecht, A., & Tucker, C. E. (2013) · Journal of Marketing Research · doi:10.1177/002224371305000508 · Cited by 683
Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions
Neslin, S. A., & Shankar, V. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2008.10.005 · Cited by 615
Defection detection: measuring and understanding the predictive accuracy of customer churn models
Neslin, S. A., Gupta, S., Kamakura, W., Lu, J., & Mason, C. H. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.2.204 · Cited by 574
Cited by
The consumer production journey: marketing to consumers as co-producers in the sharing economy
Dellaert, B. G. C. (2019) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0607-4 · Cited by 224
Semeradova, T., & Weinlich, P. (2019) · IEEE Access · doi:10.1109/access.2019.2948401 · Cited by 39
Mau, S., Pletikosa, I., & Wagner, J. (2018) · International Journal of Bank Marketing · doi:10.1108/ijbm-11-2016-0180 · Cited by 23
AI for Customer Journeys: A Transformer Approach
Lu, Z., & Kannan, P. K. (2026) · Journal of Marketing Research · doi:10.1177/00222437251347268 · Cited by 21
Metadata
- Authors
- Anderl, E., Becker, I., von Wangenheim, F., & Schumann, J. H.
- Affiliations
- University of Passau (DE)
- ETH Zurich (CH)
- Corresponding author
- Anderl, Eva
- Venue
- International Journal of Research in Marketing
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 33
- Issue
- 3
- Pages
- 457-474
- ISSN
- 0167-8116 (ISSN-L)
- OpenAlex
- W3125118956
- Cited by
- 186
- References
- 60
- Citations by year
- 2026: 24 · 2025: 21 · 2024: 16 · 2023: 15 · 2022: 20 · 2021: 19 · 2020: 26 · 2019: 14 · 2018: 20 · 2017: 7 · 2016: 3
- FWCI
- 41.93
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- International Journal of Research in Marketing (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- German Federal Ministry of Education and Research (FKZ 01FL10038)
- Wharton Customer Analytics Initiative
- 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
- customer journey, multichannel marketing, higher-order Markov models, channel effectiveness, residual effects, spillover effects, integrated marketing strategy, digital marketing channels
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mapping the customer journey: Lessons learned from graph-based online attribution modeling. https://app.cochat.ai/papers/10.1016/j.ijresmar.2016.03.001
- The paper
- Anderl, E., Becker, I., von Wangenheim, F., & Schumann, J. H. (2016). Mapping the customer journey: Lessons learned from graph-based online attribution modeling. International Journal of Research in Marketing. https://doi.org/10.1016/j.ijresmar.2016.03.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.