Applied Marketing Analytics: The Peer-Reviewed Journal
2014 - 2025
From Henry Stewart Publications Bibliographic data for series maintained by Henry Stewart Talks (). Access Statistics for this journal.
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Volume 2, issue 4, 2016
- Editorial pp. 284-285

- Unknown
- Ten big lessons learned from Big Data analytics pp. 286-295

- Jacques Bughin
- Focusing on Small Data to drive big results pp. 296-303

- Nick Necsulescu
- Capturing the value of data in banking pp. 304-311

- Allison Sagraves and Greg Connors
- Using online social networks to measure consumers’ brand perception pp. 312-321

- Jennifer Cutler and Aron Culotta
- Using mobile interviews to conduct product evaluations pp. 322-328

- Pete Cape
- Attribution: Untangling the web of confusion — a primer for marketers pp. 329-339

- Manu Mathew
- Digital profiling on limited data: Application in display advertising pp. 340-352

- Michael Trusov and Liye Ma
- Examining intrapreneurship: Meal deals as traffic builders in food retail pp. 353-366

- Russell J. Zwanka
Volume 2, issue 3, 2016
- Marketing analytics leads to better marketing decisions pp. 188-189

- Unknown
- Customers love your use of marketing data … not! pp. 190-191

- Bruce H. Rogers
- Analysis of Voice of Customer data through data and text mining pp. 192-200

- Jonathan Frey and Sergei Ananyan
- One tweak at a time: How analytics improved our content marketing pp. 201-212

- Jonathan Copulsky, Amy Bergstrom and Michael Simone
- The future of marketing automation pp. 213-224

- Thomas H. Davenport and Judah Phillips
- Comparing clustering methods for market segmentation: A simulation study pp. 225-238

- Chad Vidden, Marco Vriens and Song Chen
- Bringing integrated digital marketing to the next level: How to measure engagement across the customer lifecycle for continuous program improvement pp. 239-254

- Seth Earley
- The impulsivity challenge pp. 255-264

- Don Schultz, Martin Block and Vijay Viswanathan
- The relationship between Big Data, data science, digital analytics and the skills and abilities needed to optimise marketing decisions pp. 265-279

- Angela D’Auria Stanton and Wilbur W. Stanton
Volume 2, issue 2, 2016
- Editorial pp. 100-101

- Unknown
- Telling compelling stories with data pp. 102-104

- Dona Wong
- Using lift-testing to measure the true value of digital marketing in the cross-device world pp. 105-110

- Dominic Williamson
- Text into numbers: Can marketers benefit from unstructured data? pp. 111-120

- Barry Keating
- Customer-centricity and marketing attribution: Here is why it matters and how to get started pp. 121-126

- Korey Thurber
- Getting the most out of voice of the customer data pp. 127-132

- Nigel Howlett
- Logistic regression to identify organisational opportunities in customer surveys using R pp. 133-143

- Ted Kwartler
- Using neural networks and Monte Carlo techniques in data science: The value of Google DeepMind in general use pp. 144-151

- Richard Churchman
- Content intelligence: A case study at the American Cancer Society pp. 152-161

- Colleen Jones and Melinda Baker
- AutoNation: Driving customer loyalty in a fragmented industry pp. 162-168

- Vikash Singh and Sheena Banton
- Measuring the value of mobile advertising in driving business outcomes: Empirical data from Coca-Cola, AT&T;, MasterCard and Walmart pp. 169-179

- Vassilis Bakopoulos, Greg Stuart and Rex Briggs
- `Geodemographics for Marketers: Using Location Analysis for Research and Marketing` by Barry Leventhal pp. 180-181

- Caroline van den Bos
- `Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Revised and Updated` by Eric Siegel pp. 182-183

- Jim Sterne
Volume 2, issue 1, 2016
- How is your system/360? pp. 4-5

- Unknown
- Intuitive analytics: The same as analytic guessing? pp. 6-11

- Rafael Alcaraz
- Analytics off the shelf: Using commercially available tools now pp. 12-24

- Barry Keating
- Data governance and digital transformation: Using the customer journey to define a framework pp. 25-40

- Seth Earley and Seth Maislin
- Marketing in the age of machine learning: How optimising personalisation granularity leads to better performance in a dynamic market pp. 41-51

- Julie Penzotti
- Birds of a feather still flock together: The continuing relevance of geodemographics pp. 52-56

- Barry Leventhal
- The ‘devicefication’ of the car: Adding personal vehicles to the digital marketing mix pp. 57-72

- Olivier Maugain
- Intelligent profiles and segments equals pure power for business: Combining profiles, segment and predictive analytics pp. 73-83

- Andrea Ahlemeyer-Stubbe and Stephan Horvath
- Maximising the value of a pharmaceutical line extension using discrete choice modelling, secondary data and market segmentation pp. 84-91

- Michael Latta and Melissa Clark
Volume 1, issue 4, 2015
- Special issue on data visualisation pp. 292-295

- Unknown
- Visualisation: The last mile of analytics pp. 296-298

- Seth Earley
- Data storytelling: What it is and how it can be used to effectively communicate analysis results pp. 299-313

- Brent Dykes
- What can data journalists teach us about being more effective analysts? pp. 314-319

- Loren Hadley
- How to avoid the six most common analytics data visualisation mistakes pp. 320-330

- Lea Pica
- Creating high-impact visualisations pp. 331-341

- Kerry E. Brackett and Sumit Pal
- A review of frequently overlooked best practices for graphs pp. 342-349

- Naomi B. Robbins and Joyce Robbins
- Integrated competition and customer analysis: Managing market share efficiently pp. 350-362

- Marco Vriens and Alessandro Martins Alves
- Advanced next best offer marketing using predictive analytics pp. 363-376

- Justin Croft
- An overwhelming amount of data: Applying chaos theory to find patterns within big data pp. 377-387

- Ted Gross
- `Practical Text Analytics: Interpreting Text and Unstructured Data for Business Intelligence` by Steven Struhl pp. 388-390

- Seth Earley
- `Marketing Analytics: A Practical Guide to Real Marketing Science` by Mike Grigsby pp. 391-393

- Seth Earley
Volume 1, issue 3, 2015
- Editorial pp. 196-197

- Unknown
- Measuring the success of social marketing campaigns with web/digital analytics pp. 198-205

- Vaibhav Gardé
- Discovering discovery: Data discovery best practices pp. 206-213

- Jim Sterne
- New tools and techniques for understanding non-conscious consumer decisions pp. 214-220

- Darren Bridger and Thom Noble
- Using survival analytics to estimate lifetime value pp. 221-225

- Mike Grigsby
- The unified log: What it is and how it is changing marketing analytics pp. 226-236

- Yali Sassoon
- Mining the gold in customer data to uncover your competitive advantage pp. 237-242

- Dr Amy Shi-Nash
- Planning and implementing conversation-led marketing pp. 243-251

- Hagen Wenzek and Paul Pangaro
- Media usage patterns of social media users pp. 252-266

- Vijay Viswanathan, Don E Schultz and Martin Block
- Marketing return on investment: Seeking clarity for concept and measurement pp. 267-282

- Paul W. Farris, Dominique M. Hanssens, James D. Lenskold and David J. Reibstein
- `Humanizing Big Data: Marketing at the Meeting of Data, Social Science & Consumer Insight` by Colin Strong pp. 283-284

- Christopher M. Johannessen
Volume 1, issue 2, 2015
- Mobile analytics pp. 108-109

- Unknown
- Adapting to the elusive loyalty of the mobile audience pp. 110-116

- Tamar Rimmon and Dan Stubbs
- ESPN’s approach to a mobile analytics implementation pp. 117-121

- Amber Zaharchuk and Chris Meares
- Mobile analytics: Essential for business maturation in the digital marketing era pp. 122-128

- Ray Pun
- Orchestrating mobile analytics pp. 129-138

- Christopher M. Johannessen
- Where mobile fits in the marketing funnel sandwich pp. 139-145

- Alon Even
- How data and user behaviour analysis impacts sales — especially via mobile pp. 146-153

- Enrico Pavan
- Mastering the fundamentals of mobile analytics pp. 154-160

- Loren Hadley
- So you need a mobile analytics strategy? Six key areas to cover for new developers pp. 161-167

- Andrew Pearlman
- General papers - Marketing analytics How best-in-class marketers use alignment and accountability for value creation pp. 168-174

- Laura Patterson
- Big Data analytics for transaction banking: The differentiator pp. 175-185

- Carlo R.W. De Meijer and Anupam Majumdar
- `Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science` by Thomas W Miller pp. 186-187

- Christopher M. Johannessen
Volume 1, issue 1, 2014
- Editorial - Generative AI and its impact on marketing analytics: A special issue pp. 4-5

- Unknown
- The challenge of digital marketing attribution across internet devices pp. 6-12

- Christopher Hogan
- Beyond sales and awareness: Using marketing analytics for improved health engagement and outcomes pp. 13-20

- David Fogarty, Peter Harrison, Lin Jing and Sam Yip
- Conceptual reasons beyond technology for the delayed progress and innovation in marketing science pp. 21-31

- Rafael Alcaraz
- Will personal data in the hands of individuals revolutionise analytics? pp. 32-41

- Colin Strong
- An analytical framework for social media customer service pp. 42-52

- Ted Kwartler
- A net present value model with application to target marketing pp. 53-57

- Jingjing Qu and Yumin Chen
- How mobile brands are applying a longitudinal customer view to understand and influence behaviours pp. 58-65

- Lara Albert
- A framework of purpose and consent for data security and consumer privacy pp. 66-74

- Aurélie Pols and Oliver Schiffers
- How Orbitz tackled the long tail problem in online marketing optimisation pp. 75-80

- Wenqing Lu
- Using big data file fusion to determine the effects of social media on retail brand preference pp. 81-102

- Don E. Schultz and Martin P. Block
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