Applied Marketing Analytics: The Peer-Reviewed Journal
2014 - 2025
From Henry Stewart Publications Bibliographic data for series maintained by Henry Stewart Talks (support@hstalks.com). Access Statistics for this journal.
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Volume 10, issue 4, 2025
- In support of equivalent experience for analytics leadership pp. 300-302

- Chris Hogan
- From test to scale: Leveraging generative AI for the five ‘C’s of digital marketing pp. 303-317

- Kelly Cutler
- How data-driven personalisation allows marketers to meet customers’ ever-increasing expectations for relevance pp. 318-323

- Zontee Hou
- The effect of landing page design and structure on conversion rates pp. 324-335

- Marcin Hylewski, Artur Pluskota and Błażej Abel
- Using conjoint analysis across the marketing value chain pp. 336-347

- Marco Vriens and Felix Eggers
- Enhancing market research with a GPT-based API wrapper: A leap towards advanced data analysis pp. 348-373

- Michael Dupin and M. Furkan Oruç
- Redefining business with artificial intelligence: Strategies for innovating consumer experience pp. 374-389

- Sari Yehuda Nassar
- Data governance in the age of artificial intelligence: Challenges, best practices and regulatory compliance pp. 390-403

- Animesh Kumar Sharma and Rahul Sharma
Volume 10, issue 3, 2024
- Customer data in marketing analytics: A special issue pp. 192-193

- Oliver Schiffers
- A brief history and the future of customer data pp. 194-204

- Jim Sterne and Thomas H. Davenport
- Augmenting customer lifetime value with omnichannel engagement pp. 205-215

- Carolyn Tang Kmet and Jonathan Copulsky
- How does the customer experience benefit from better customer data? pp. 216-226

- Tarik Kilinc
- The four Cs of B2B targeting: Using company, customer, channel and contextual data to shrink the audience bullseye pp. 227-244

- Stephen Diorio and Rich Howarth
- Deriving consumer insights with segmentation for identity and consent pp. 245-254

- Pamela Castricone and Lucas Long
- Optimising lead qualification through machine learning: A customer data-driven approach pp. 255-270

- Helen Josephine V L, Vasudevan Moorthy, Chandana Sai and Bindhia Joji
- Powerful tools for personalisation: Using large language model-based agents, knowledge graphs and customer signals to connect with users pp. 271-288

- Seth Earley and Sanjay Mehta
- How to retain website traffic in a generative AI world pp. 289-297

- Laura Patterson and Jacqueline Sinex
Volume 10, issue 2, 2024
- What customer experience professionals should be doing as the battle lines between capitalism and individual rights continue to take shape pp. 100-102

- Paul Lima
- Embracing cookieless advertising with AI pp. 103-115

- Ian Thomas
- How consumer perceptions drive online ratings pp. 116-121

- Bradley Taylor
- Using patient lifetime value to future-proof your dental practice pp. 122-133

- Rosie Pritchett, Michail Tomaras, Andrea Ahlemeyer-Stubbe and Shirley Coleman
- The three critical thinking skills marketers need to excel at for impactful data storytelling pp. 134-141

- Caroline Florence
- Overcoming analysis paralysis in bulk: Efficient methods for extensive key driver analyses pp. 142-157

- Michael Dupin and Sophia Tannir
- Machine learning and AI in marketing analytics: Leveraging the survey data to find customers pp. 158-175

- David Fogarty and Xinlei Cui
- Crossed signals: The negative effects of manufacturer warranty length on brand share in an independent retail channel pp. 176-186

- Robert J. Fisher, Yu Ma and Barry Scholnick
Volume 10, issue 1, 2024
- Simpler is better pp. 4-5

- Denis Malin
- The evolution of digital marketing in the era of AI pp. 6-17

- Kelly Cutler
- Customising generative AI: Harnessing document retrieval and fine-tuning alternatives for dynamic marketing insights pp. 18-31

- Dakota Crisp, Jacob Newsted, Brendon Kirouac, Danielle Barnes, Catherine Hayes and Jonathan Prantner
- Improving voice of the customer analysis with generative AI pp. 32-41

- Jim Sterne and Thomas H. Davenport
- The recipe for success in creating frictionless customer journeys pp. 42-50

- Stephanie Burton
- The power of clarity: Understanding how the effective use of data storytelling can improve the decision-making process pp. 51-61

- Giovanna Fischer
- Strategies to mitigate hallucinations in large language models pp. 62-67

- Ranjeeta Bhattacharya
- Predicting maintenance costs of an IT system using artificial intelligence models pp. 68-76

- Nathan Bosch, Emmanuel Okafor, Marco Vriens and Lambert Schomaker
- Navigating compliance and regulations in marketing analytics: Upholding ethical standards and consumer trust pp. 77-92

- Animesh Kumar Sharma and Rahul Sharma
- `Search Marketing: A Strategic Approach to SEO and SEM` by Kelly Cutler pp. 93-94

- Shashi Bellamkonda
Volume 9, issue 4, 2024
- Editorial pp. 300-302

- Michael Wexler
- Unlocking SEO testing insights: Leveraging quasi-experimental designs for effective experiments pp. 303-310

- António Fernandes
- The future of personalisation: What new technologies are learning about customers pp. 311-319

- Carolyn Tang Kmet and Jonathan Copulsky
- In search of customer delight: Integrating customer satisfaction and NPS metrics pp. 320-329

- Art Weinstein
- ChatBot preference and personality pp. 330-342

- Martin P. Block
- How is your loyalty programme going? A framework for a loyalty programme performance indication system pp. 343-356

- Hyung Su Kim, Dae Yun Park and Su Hyun Kim
- Demystifying metaverse data from user-technology interaction pp. 357-374

- Reshmi Manna, Ankit Singh and Monica Apte
- Eco-friendly FMCG products and premiumisation purchasing habits pp. 375-386

- Armand Faganel and Maurizio Dessardo
Volume 9, issue 3, 2023
- Editorial pp. 205-206

- Jim Sterne
- The rise of AI copilots: How LLMs turn data into actions, advance the business intelligence industry and make data accessible company-wide pp. 207-214

- Jeff Coyle and Stephen Jeske
- What executives need to know about knowledge management, large language models and generative AI pp. 215-229

- Seth Earley
- Extracting actionable insights from web analytics and advocating for data-driven change pp. 230-235

- Brandie Green
- Can data save small businesses? Benefits and challenges of data analytics adoption among small-sized retailers pp. 236-248

- Naeun (Lauren) Kim, Terry Haekyung Kim and Jinsu Park
- Use cases of large language models in marketing analytics pp. 249-269

- Katherine Robbert, Christopher Penn and John Wall
- Using generative AI to turbocharge digital marketing pp. 270-280

- Ian Thomas
- Customer journey optimisation using large language models: Best practices and pitfalls in generative AI pp. 281-292

- Vaikunth Thukral, Lawrence Latvala, Mark Swenson and Jeff Horn
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
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