{"id":"W4408656602","doi":"10.4018/979-8-3693-9954-5.ch002","title":"The Role of Marketing Analytics in Fostering Brand Loyalty","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in marketing, customer relationship management, and e-services book series","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Analytics; Business; Brand loyalty; Marketing; Loyalty; Advertising; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004301576,0.0006163105,0.0007063434,0.001101812,0.0005308157,0.000388223,0.0007230297,0.0002965315,0.0001291479],"category_scores_gemma":[0.0001647474,0.0005811807,0.0001578336,0.0005390717,0.000295643,0.002929269,0.001237065,0.0006889448,0.00003774943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000084312,"about_ca_system_score_gemma":0.00002375664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001646942,"about_ca_topic_score_gemma":0.006863493,"domain_scores_codex":[0.9966894,0.0001486296,0.001337776,0.0007629376,0.0004914603,0.0005698265],"domain_scores_gemma":[0.9966236,0.001375452,0.001157046,0.0006669786,0.0001493516,0.00002759188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002964491,0.00008528201,0.2720247,0.02619104,0.000310581,0.00005373508,0.0004143551,0.0007411901,0.000001679975,0.5754058,0.0006024225,0.1212048],"study_design_scores_gemma":[0.0006185757,0.000006783666,0.0331497,0.003433705,0.0002312783,0.000001431339,0.002242038,0.0008088602,8.07933e-7,0.03536698,0.9235372,0.0006026453],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001104958,0.0441734,0.00001129348,0.0003014387,0.0003381763,0.000750936,0.00001297291,0.00008716548,0.9532197],"genre_scores_gemma":[0.1950713,0.141062,0.001059862,0.003355747,0.0009538089,0.0003004651,0.0003727346,0.0003423934,0.6574817],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9229348,"threshold_uncertainty_score":0.9996639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192410804893682,"score_gpt":0.2407389637096295,"score_spread":0.2288148556606927,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}