Applied Marketing Analytics: The Peer-Reviewed Journal
2014 - 2023
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Volume 9, issue 2, 2023
- Editorial pp. 108-109

- Martin Squires
- To ChatGPT or not to ChatGPT: A note to marketing executives pp. 110-116

- Jacques Bughin
- A new model for optimal advertising impression allocation across consumer segments pp. 117-133

- Joel Rubinson, Neil B. Morley, Vassilis Bakapoulos and Marc Vermut
- Automated cluster generation and labelling of peer groups for marketing reporting pp. 134-144

- Dakota Crisp, Jonathan Prantner, Grant Miller, Jack Claucherty, Tom Thomas and Danielle Barnes
- Generative AI: A master or servant of market research analysis? pp. 145-152

- Andy Buckley
- Using customer feedback to prioritise remediation return on investment and improve customer experience pp. 153-161

- Manya Mayes
- Considerations in artificial intelligence-based marketing: An ethical perspective pp. 162-172

- Animesh Kumar Sharma and Rahul Sharma
- Data-driven attribute selection for hardware technology products: A multi-criteria framework pp. 173-181

- Evgeny A. Antipov and Elena B. Pokryshevskaya
- Web3 and marketing: The new frontier pp. 182-194

- Brandon Chicotsky
Volume 9, issue 1, 2023
- Applied marketing analytics: Vital to resolving challenges pp. 4-7

- Leslie Ament
- ChatGPT and search engine optimisation: The future is here pp. 8-22

- Kelly Cutler
- Data democratisation requires literacy and fluency for proficiency pp. 23-29

- Jim Sterne
- Qualifying control data with propensity score matching pp. 30-38

- Dakota Crisp, Matt Kristo, Courtney Everest, Jenna King, Emily Brehmer, Danielle Barnes and Jonathan Prantner
- What is the right set of technologies and techniques to effectively analyse marketing effectiveness? pp. 39-44

- Pranav Patil
- Which key performance indicators should be used to establish a lead scoring strategy for customer relationship management? pp. 45-53

- Sergio Suárez and Ana Reyes-Menendez
- Using MASEM to explore the psychological mechanisms linking salespeople's job satisfaction and performance pp. 54-72

- Chien-Chung Chen, Hong Chen and Yan Liu
- Lengthen your attribution window: Which digital ads have most long-term impact? pp. 73-83

- Vivian Qin
- Gen Z versus Millennials, purchase intentions: A comparative study based on social media marketing strategies in India pp. 84-100

- M. Thirumagal Vijaya, S. M. Yamuna and B. Chitra
Volume 8, issue 4, 2023
- Editorial pp. 336-336

- Barry Keating
- What's the story with marketers and data storytelling? An educator's perspective pp. 337-344

- Jonathan Copulsky
- Upper funnel ad effectiveness and seasonality in consumer durable goods pp. 345-352

- Vivian Qin and Koen Pauwels
- How brand mentions in television advertising affect consumer attention, recall and evaluation pp. 353-366

- Mark Vroegrijk
- A regional comparison of the skills sought by employers for entry-level data scientists, data analytics, business analytics, marketing analytics and digital analytics professionals pp. 367-388

- Angela D'Auria Stanton and Wilbur W. Stanton
- Modelling the influence of teenagers' shopping motivation on their intention to purchase sports merchandise: A perspective from an emerging economy pp. 389-403

- Sahil Gupta, Komal Kapoor, Geeti Sharma and Nishtha Malik
- Customer loyalty in the insurance industry: From traditional to analytical marketing — a bibliometric analysis pp. 404-422

- Manuel Leiria, Nelson Dematos and Efigénio Rebelo
- Exploring the factors of social media communication and their impact on online corporate brand image pp. 423-439

- Talvinder Kaur and Sarbjit Singh Bedi
Volume 8, issue 3, 2023
- Special Issue: Innovative Methods to Measure Digital Marketing Analytics: Part 2 pp. 228-229

- Ana Reyes-Menéndez, Nuria Ruiz-Lacaci and Pedro Palos-Sánchez
- Marketing performance measurement: A model of organisational and behavioural factors pp. 230-238

- António Pimenta Da Gama
- How eye tracking can predict consumer behaviour preferences on mobile devices pp. 239-254

- Ana Reyes-Menéndez, Pavel Žiaran, Rebeca Antolín-Prieto and Nuria Ruiz-Lacaci
- The voice era: Future acceptance of digital voice assistants and how they will transform consumers' online purchasing behaviour pp. 255-270

- Niko Muñoz and Bianca A. Kremer
- Knowing the levers to pull to measure and optimise digital marketing performance pp. 271-282

- Emma Lo Russo
- A regional comparison of the skills sought by employers for entry-level marketing analytics professionals pp. 283-301

- Angela D’Auria Stanton and Wilbur W. Stanton
- Integrating datasets: Segmenting the fashion market using risk aversion pp. 302-313

- Martin Paul Block
- Data-driven influencer marketing strategy analysis and prediction based on social media and Google Analytics data pp. 314-328

- Kristo Radion Purba and Yee Jia Tan
- Marketing Metrics pp. 329-330

- Stewart Robbins
Volume 8, issue 2, 2022
- Special Issue: Innovative methods to measure digital marketing analytics: Part 1 pp. 108-110

- Ana Reyes-Menendez, Nuria Ruiz-Lacaci and Pedro Palos-Sanchez
- How marketers can use the power of an AI/ML model to identify and predict customers pp. 111-121

- Shash Bellamkonda
- How businesses of any size can use AI in a digital marketing strategy pp. 122-132

- Martin Broadhurst
- Web3 and the future of marketing pp. 133-141

- Kelly Cutler
- C-3DP: A cross-cluster analysis model to identify latent categorical customer attributes pp. 142-159

- Roger Kamena
- Attribution done right: How to prove the real value of marketing pp. 160-166

- Moni Oloyede
- Net searcher sentiment: A web-search based replacement for net promoter score pp. 167-174

- Isaac Gerber
- Empirical measurement of marketing analytics orientation: Quantifying the factors that create highly analytical marketing practices pp. 175-191

- Anthony F. Branda, Mark Weber and Eduardo Lucio
- The impact of digital marketing on the performance of firms in Tunisia pp. 192-205

- Bechir Fridhi
- An explorative study of salient usability attributes affecting m-commerce consumer behaviour in a Nordic context pp. 206-222

- Lasse Baungård Løber and Simon Svendsen
- Special Issue: Innovative Methods to Measure Digital Marketing Analytics: Part 2 pp. 228-229

- Ana Reyes-Menéndez, Nuria Ruiz-Lacaci and Pedro Palos-Sánchez
Volume 8, issue 1, 2022
- Towards a theory of analytics and guidelines for practitioners pp. 4-5

- Marco Vriens
- Unlocking the full potential of social listening platforms through prescriptive-based intelligence pp. 6-15

- Mike Mcguirk
- Customer lifetime value: How to find the right calculation and prediction approach pp. 16-25

- Shirley Coleman, Daniel Walker, Mohammed Rahman-Chowdhury and Andrea Ahlemeyer-Stubbe
- The three stages of workforce optimisation: Moving beyond the industry standard pp. 26-36

- Dakota Crisp, Jess Brown, Jack Claucherty, Davis Busteed, Anna Schultz and Jonathan Prantner
- The intuition behind machine learning in marketing: Linear TV attribution pp. 37-42

- Mario Vinasco
- Should you change your ad messaging or execution? It depends on brand age pp. 43-54

- Koen Pauwels, Bharat Sud, Robert Fisher and Kersi Antia
- The culture and leadership style combination that cultivates a best-in-class marketing organisation pp. 55-78

- Laura Patterson, Rita Egeland and Kathleen Wong
- Why multi-disciplinary, cross-silo teams are best at analysing and actioning data collected along the customer journey pp. 79-88

- Victoria Jenner, Sefer Soylemez, Sasha Dzhuras-Dotta and Ralitsa Tsoneva
- How to choose the right influencer for a marketing strategy pp. 89-104

- Aslı Diyadin Lenger
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