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Practice Prize Paper—Marketing's Profit Impact: Quantifying Online and Off-line Funnel Progression
Open accessAbstract
Inofec, a small- to medium-sized enterprise in the business-to-business sector, desired a more analytic approach to allocate marketing resources across communication activities and channels. We developed a conceptual framework and econometric model to empirically investigate (1) the marketing communication effects on off-line and online purchase funnel metrics and (2) the magnitude and timing of the profit impact of firm-initiated and customer-initiated contacts. We find evidence of many cross-channel effects, in particular, off-line marketing effects on online funnel metrics and online funnel metrics on off-line purchases. Moreover, marketing communication activities directly affect both early and later purchase funnel stages (website visits, online and off-line information, and quote requests). Finally, we find that online customer-initiated contacts have substantially higher profit impact than off-line firm-initiated contacts. Shifting marketing budgets toward these activities in a field experiment yielded net profit increases 14 times larger than those for the status quo allocation.
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“This fragmented approach has resulted in limited understanding of how travellers move through the entire journey, particularly how experiences evolve across touchpoints and collectively shape outcomes such as satisfaction and loyalty (Wiesel et al., 2011).”
From Influencers and the choice of a travel destination: A customer journey and information processing perspective (2025) · cites this paper as Wiesel et al., 2011
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“The firm-initiated event types (Wiesel et al. 2011) are initiated by firms such as email sent, social ad impression, and display impression.”
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McClure, C. E., Lawrence, J. M., Arnold, T. J., & Scheer, L. (2022) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-022-00859-6 · Cited by 7
“Census Bureau 2019) and similar contexts have been the subject of recent B2B research (e.g., Käuferle & Reinartz, 2015; Lawrence et al., 2019; Wiesel et al., 2011).”
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Le, D., Nguyen, M., Quach, S., Thaichon, P., & Ratten, V. (2021) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80071-348-220211001 · Cited by 17
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Self-citationHow Much is Too Much? The Effect of Offline Call Intensity on Online Purchase of Digital Services
Zhang, X.-Y., & Yao, Y.-L. (2019) · Production and operations management · doi:10.1111/poms.13124 · Cited by 6
“Wiesel et al. (2011) use a vector autoregressive (VAR) model and find that effects of a variety of marketing efforts last several days; for example, the marketing expenditure on flyers 5 days ago still has a positive effect on the firm’s profits.”
BackgroundMethodResultInfluentialAssessing the effect of advertising expenditures upon sales: A Bayesian structural time series model
Gallego, V., Suárez-García, P., Ardoy, P. A., & Gómez‐Ullate, D. (2019) · Applied Stochastic Models in Business and Industry · doi:10.1002/asmb.2460 · Cited by 15
“It is widely acknowledged that a firm’s expenditure on advertising has a positive effect on sales and other aspects [1, 2, 3, 4].”
BackgroundMadlberger, M., & Matook, S. (2017) · AJIS. Australasian journal of information systems/AJIS. Australian journal of information systems/Australian journal of information systems · doi:10.3127/ajis.v21i0.1426 · Cited by 6
“the information, agreement and fulfilment phases (Choudhury & Karahanna 2008; Shankar et al. 2003; Wiesel et al. 2011).”
BackgroundInfluentialNam, K., & Cho, K. (2025) · Industrial Management & Data Systems · doi:10.1108/imds-10-2024-1056 · Cited by 5
Coordination in Multibrand, Multimedia Advertising: Is It Always a Good Thing?
Zhu, W., Kumar, S., & Mookerjee, V. (2023) · Information systems research · doi:10.1287/isre.2022.0283 · Cited by 5
Lee, H. S., Yalcinkaya, G., & Griffith, D. (2022) · Journal of International Marketing · doi:10.1177/1069031x221143780 · Cited by 5
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Srinivasan, S. (2021) · Springer eBooks · doi:10.1007/978-3-319-05542-8_10-1 · Cited by 4
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“Even though, consumers still consult both consumer-initiated communication (CIC) and firm-initiated communication (FIC) through which companies initiate marketing interventions (Bowman and Narayandas 2001; Wiesel et al. 2011).”
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Sales Prospecting Framework: Marketing Team, Salesperson Competence, and Sales Structure
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“This view aligns with the tendency of firms that often use built-in dashboards as they are cheaper and easier to learn on their own [58]-[59].”
BackgroundAttribution Modeling in Online Advertising
Schultz, C. D., & Dellnitz, A. (2018) · Advances in marketing, customer relationship management, and e-services book series · doi:10.4018/978-1-5225-3114-2.ch009 · Cited by 5
Huang, N., Mojumder, P., Sun, T.-S., Lv, J.-C., & Golden, J. M. (2019) · Social Science Research Network · doi:10.2139/ssrn.3465315 · Cited by 4
“Firm-initiated interaction refers to the firm-customer interactions that were enacted by the firm; for instance, email marketing campaigns (e.g., Wiesel et al. 2011; Wattal et al. 2012).”
Is paid search overrated? When bricks-and-mortar-only retailers should not use paid search
Schlangenotto, D., Kundisch, D., & Wünderlich, N. (2018) · Electronic Markets · doi:10.1007/s12525-018-0287-4 · Cited by 4
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“For example, touchpoints might be classified into “paid,” “owned,” and “earned” media categories (Stephen and Galak, 2012) or distinguished by whether they are initiated by the firm or the consumer (Wiesel et al., 2011).”
BackgroundOmnichannel Marketing: The Challenge of Data-Integrity
Cui, T. H., Ghose, A., Halaburda, H., Iyengar, R., Pauwels, K., Sriram, S., Tucker, C. E., & Venkataraman, S. (2019) · Social Science Research Network · doi:10.2139/ssrn.3460580 · Cited by 3
“…as display ads (e.g. Kireyev et al. 2016, Ghose and Todri 2016, Ghose et al. 2019), to owned media such as website visits and quote requests (e.g. Wiesel et al. 2011), and to earned media such as likes (e.g. Srinivasan et al. 2015) and social media conversations (Luo et al. 2013, Sonnier et al.…”
Self-citationHow Do Marketing Actions and Customer Mindset Metrics Influence the Consumer’s Path to Purchase?
Srinivasan, S. (2014) · Emerald Group Publishing Limited eBooks · doi:10.1108/s1548-643520140000011004 · Cited by 3
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“…(e.g., Edelman et al., 2007; Varian, 2007), keyword generation and selection (e.g., Chen et al., 2008; Klapdor et al., 2014), click fraud (e.g., Wilbur & Zhu, 2009), and the integration of search engine advertising into the marketing mix (e.g., Olbrich & Schultz, 2014; Wiesel et al., 2011).”
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Heymann, B. F., & Briedis, M. (2025) · Creativity Studies · doi:10.3846/cs.2025.21139 · Cited by 2
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Zaremba, A. (2020) · Journal of Marketing and Consumer Behaviour in Emerging Markets · doi:10.7172/2449-6634.jmcbem.2020.1.1 · Cited by 1
“Wiesel et al. (2011) T, CS P ON, OFF • Vector autoregression • The profi t impact of customer-initiated contacts is higher than company-initiated.”
BackgroundLinking Clicks to Bricks: Spillover Benefits of Online AdvertisingPreprint
Zhou, M., Abhishek, V., Kennedy, E. H., Srinivasan, K., & Sinha, R. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3168028 · Cited by 2
“Wiesel et al. (2011) used aggregated-level data of advertising costs and sales revenues and found that using Google AdWords has positive profit impact on offline sales.”
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“From the perspective of the advertising initiator, advertisements can be categorized into firm-initiated advertising such as email, banner, as well as short messaging service (SMS) advertising [12], and consumer-initiated advertising such as search advertisements [13].”
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Mark, T., Dhar, T., Verhoef, P., & Lemon, K. N. (2023) · Marketing letters · doi:10.1007/s11002-023-09693-4 · Cited by 1
“In addition, our findings are consistent with the multichannel literature that digital marketing activities are more effective at influencing behaviors online (Ansari et al., 2008) and have cross-channel effects (Dinner et al., 2014; Wiesel et al., 2011).”
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Self-citationNottorf, F. (2013) · DCNET/ICE-B/OPTICS · doi:10.5220/0004504901410152 · Cited by 1
“Although certain studies have focused on the effects of several types of online advertising, such as display and paid search advertising (Dinner et al., 2011; Wiesel et al., 2011), such studies do not investigate the influence of these types of advertising on the online behavior of individual consumers as a result of…”
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Larson, J. S., & Dotson, J. P. (2026) · Journal of Interactive Marketing · doi:10.1177/10949968261422740
“Consistent with other research on this topic (Li and Kannan 2014; Shankar and Malthouse 2007; Wiesel, Pauwels, and Arts 2011), De Haan, Wiesel, and Pauwels fi nd customer-initiated ad channels to be superior to fi rm-initiated ad channels, though the results are less de fi nitive about the more…”
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Gizem INCİ, & Polat, S. (2025) · Information · doi:10.3390/info16110969
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Colicev, A., & O'Connor, P. (2016) · IFIP International Conference on e-Business, e-Services, and e-Society · doi:10.1007/978-3-319-45234-0_12
“…(e.g., need recognition, information search and being aware of the brand), an affective (e.g., consumer attitudes, evaluation of alternatives and consideration set inclusion), and ultimately, a conative (e.g. purchase intent and actual customer) stage (Rogers, 1995, 1962; Wiesel et al., 2011).”
How Much is Too Much? The Effect of Call Intensity on Online PurchasePreprint
Zhang, X.-Y., & Yao, Y.-L. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2834042
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Jain, A., & Kaul, A. (2021) · Advances in Intelligent Systems and Computing · doi:10.1007/978-981-16-2712-5_50
The Evaluation of Social Media Practice in Malaysia by Small and Medium Enterprises
Jani, N. M., & bin Zakaria, M. H. (2020) · doi:10.4018/978-1-7998-1851-9.ch010
Digital Marketing in a New Age Economy
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Traditional Time-Series Models
Pauwels, K. H. (2017) · doi:10.1007/978-3-319-53469-5_3
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Metadata
- Authors
- Wiesel, T., Pauwels, K., & Arts, J.
- Affiliations
- University of Groningen (NL)
- Özyeğin University (TR)
- Vrije Universiteit Amsterdam (NL)
- ORCID
- Pauwels, Koen
- Venue
- Marketing Science
- Published
- 2011-07
- Volume
- 30
- Issue
- 4
- Pages
- 604-611
- ISSN
- 0732-2399 (ISSN-L)
- 1526-548X
- OpenAlex
- W2141950067
- Cited by
- 207
- References
- 0
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 7 · 2023: 12 · 2022: 18 · 2021: 17 · 2020: 21 · 2019: 16 · 2018: 16 · 2017: 16 · 2016: 17 · 2015: 13 · 2014: 13 · 2013: 10 · 2012: 3
- FWCI
- 16.15
- Type
- journal article
- Language
- en
- Open access
- green
- research.rug.nl
- Licence
- other-oa
- Locations
- Marketing Science (publishedVersion)
- eResearch@Ozyegin (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, other-oa)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Funders
- Pennsylvania State University
- Rijksuniversiteit Groningen
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
- Keywords
- marketing resource allocation, purchase funnel, digital marketing, offline marketing, cross-channel effects, B2B marketing, small and medium-sized enterprises, website visits
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