Do Specific Text Features Influence Click Probabilities in Paid Search Advertising?

Research output: Contributions to collected editions/worksPublished abstract in conference proceedingsResearchpeer-review

Standard

Do Specific Text Features Influence Click Probabilities in Paid Search Advertising? / Blask, Tobias-Benedikt.
ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications. ed. / Andreas Holzinger; Marten van Sinderen; Peter Dolog; Mohammad S. Obaidat. Science and Technology Publications, Lda (SciTePress), 2014. p. 55-62 (ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications).

Research output: Contributions to collected editions/worksPublished abstract in conference proceedingsResearchpeer-review

Harvard

Blask, T-B 2014, Do Specific Text Features Influence Click Probabilities in Paid Search Advertising? in A Holzinger, M van Sinderen, P Dolog & MS Obaidat (eds), ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications. ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications, Science and Technology Publications, Lda (SciTePress), pp. 55-62, 11th International Conference on e-Business - ICE-B 2014 , Wien, Austria, 28.08.14. https://doi.org/10.5220/0005048400550062

APA

Blask, T.-B. (2014). Do Specific Text Features Influence Click Probabilities in Paid Search Advertising? In A. Holzinger, M. van Sinderen, P. Dolog, & M. S. Obaidat (Eds.), ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications (pp. 55-62). (ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications). Science and Technology Publications, Lda (SciTePress). https://doi.org/10.5220/0005048400550062

Vancouver

Blask TB. Do Specific Text Features Influence Click Probabilities in Paid Search Advertising? In Holzinger A, van Sinderen M, Dolog P, Obaidat MS, editors, ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications. Science and Technology Publications, Lda (SciTePress). 2014. p. 55-62. (ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications). doi: 10.5220/0005048400550062

Bibtex

@inbook{278376b1f2b74029a1f68050b130d85c,
title = "Do Specific Text Features Influence Click Probabilities in Paid Search Advertising?",
abstract = "Paid Search Advertisers have only very few options to influence the user's decision to click on one of their ads. The textual content of the creatives seems to be one important influencing factor beneath its position on the Search Engine Results Page (SERP) and the perceived relevance of the given ad to the present search query. In this study we perform a non reactive multivariate test that enables us to evaluate the influence of specific textual signals in Paid Search creatives. A Bayesian Analysis of Variance (BANOVA) is applied to evaluate the influence of various text features on click probabilities. We conclude by finally showing that differences in the formulation of the textual content can have influence on the click probability of Paid Search ads",
keywords = "Business informatics, Bayesian analysis of variance, Bayesian statistics, Multivariate testing, Paid search advertising, Search engine advertising, Sponsored search",
author = "Tobias-Benedikt Blask",
note = "Publisher Copyright: {\textcopyright} 2014 SCITEPRESS - Science and Technology Publications.; 11th International Conference on e-Business - ICE-B 2014 , ICE-B 2014 ; Conference date: 28-08-2014 Through 30-08-2014",
year = "2014",
month = jan,
day = "1",
doi = "10.5220/0005048400550062",
language = "English",
isbn = "9789897580437",
series = "ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications",
publisher = "Science and Technology Publications, Lda (SciTePress)",
pages = "55--62",
editor = "Andreas Holzinger and {van Sinderen}, Marten and Peter Dolog and Obaidat, {Mohammad S.}",
booktitle = "ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications",
address = "Portugal",
url = "http://www.ice-b.icete.org/?y=2014",

}

RIS

TY - CHAP

T1 - Do Specific Text Features Influence Click Probabilities in Paid Search Advertising?

AU - Blask, Tobias-Benedikt

N1 - Conference code: 11

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Paid Search Advertisers have only very few options to influence the user's decision to click on one of their ads. The textual content of the creatives seems to be one important influencing factor beneath its position on the Search Engine Results Page (SERP) and the perceived relevance of the given ad to the present search query. In this study we perform a non reactive multivariate test that enables us to evaluate the influence of specific textual signals in Paid Search creatives. A Bayesian Analysis of Variance (BANOVA) is applied to evaluate the influence of various text features on click probabilities. We conclude by finally showing that differences in the formulation of the textual content can have influence on the click probability of Paid Search ads

AB - Paid Search Advertisers have only very few options to influence the user's decision to click on one of their ads. The textual content of the creatives seems to be one important influencing factor beneath its position on the Search Engine Results Page (SERP) and the perceived relevance of the given ad to the present search query. In this study we perform a non reactive multivariate test that enables us to evaluate the influence of specific textual signals in Paid Search creatives. A Bayesian Analysis of Variance (BANOVA) is applied to evaluate the influence of various text features on click probabilities. We conclude by finally showing that differences in the formulation of the textual content can have influence on the click probability of Paid Search ads

KW - Business informatics

KW - Bayesian analysis of variance

KW - Bayesian statistics

KW - Multivariate testing

KW - Paid search advertising

KW - Search engine advertising

KW - Sponsored search

UR - http://www.scopus.com/inward/record.url?scp=84910030855&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/6f18ade7-4e78-39a5-b593-7a77d842881e/

U2 - 10.5220/0005048400550062

DO - 10.5220/0005048400550062

M3 - Published abstract in conference proceedings

SN - 9789897580437

T3 - ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications

SP - 55

EP - 62

BT - ICE-B 2014 - Proceedings of the 11th International Conference on e-Business, Part of ICETE 2014 - 11th International Joint Conference on e-Business and Telecommunications

A2 - Holzinger, Andreas

A2 - van Sinderen, Marten

A2 - Dolog, Peter

A2 - Obaidat, Mohammad S.

PB - Science and Technology Publications, Lda (SciTePress)

T2 - 11th International Conference on e-Business - ICE-B 2014

Y2 - 28 August 2014 through 30 August 2014

ER -

Recently viewed

Publications

  1. Disentangling trade-offs and synergies around ecosystem services with the influence network framework
  2. New developments in extrusion of profiles with variable curvatures and cross-sections
  3. Development and application of a simplified sampling method for volatile polyfluorinated alkyl substances in indoor and environmental air
  4. Robust Decoupling Control of Contact Forces in Robotic Manipulation
  5. Pathways and mechanisms for catalyzing social impact through Orchestration: Insights from an open social innovation project
  6. Hands in Focus: Sign Language Recognition Via Top-Down Attention
  7. Biodiversity and ecosystem functioning relations in European forests depend on environmental context.
  8. Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities
  9. Combination of a reduced order state observer and an Extended Kalman Filter for Peltier cells
  10. Numerical Investigation of the Effect of Rolling on the Localized Stress and Strain Induction for Wire + Arc Additive Manufactured Structures
  11. Do we fail to exert self-control because we lack resources or motivation? Competing theories to explain a debated phenomenon
  12. What do people do when they use the internet?
  13. Machine Learning and Data Mining for Sports Analytics
  14. Collaborative modelling for active involvement of stakeholders in urban flood risk management
  15. Environmental Shareholder Value Matrix
  16. Online-Beratung für Eltern
  17. Navigating tensions in inclusive conservation
  18. Exploring the potential of using priority effects during ecological restoration to resist biological invasions in the neotropics
  19. Backward Extended Kalman Filter to Estimate and Adaptively Control a PMSM in Saturation Conditions
  20. Uncertainty, Pluralism, and the Knowledge-based Theory of the Firm
  21. ... address unknown?
  22. Toward supervised anomaly detection
  23. A comparison of the strength of biodiversity effects across multiple functions
  24. The Influence of Counterfactual Thinking about Uncontrolled Factors on Moral Judgment
  25. The 'need for speed'
  26. Perceptions of Organizational Downsizing
  27. Credit constraints, endogenous innovations, and price setting in international trade
  28. Toward a gecko-inspired, climbing soft robot
  29. CDS spreads, systemic risk and interconnectedness
  30. Foraging loads of stingless bees and utilisation of stored nectar for pollen harvesting