{"id":"W2096194304","doi":"10.1108/07363760610712902","title":"The art of storytelling: how loyalty marketers can build emotional connections to their brands","year":2006,"lang":"en","type":"article","venue":"Journal of Consumer Marketing","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loyalty; Storytelling; Marketing; Originality; Loyalty program; Advertising; Loyalty business model; Business; Order (exchange); Brand loyalty; Value (mathematics); Process (computing); Psychology; Computer science; Service (business); Narrative; Creativity; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004626031,0.0001838588,0.0003186622,0.0003008879,0.0004459146,0.0002997887,0.0003607597,0.00006326455,0.0001418432],"category_scores_gemma":[0.0006395614,0.0001336193,0.0002494196,0.0004426817,0.000104245,0.0003923062,0.00008573224,0.0003114678,0.0000131793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004663003,"about_ca_system_score_gemma":0.00007470915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001796544,"about_ca_topic_score_gemma":0.0007005036,"domain_scores_codex":[0.9982402,0.0001456931,0.0006812048,0.0001546949,0.0004742315,0.0003040206],"domain_scores_gemma":[0.9969424,0.00116,0.0009651058,0.0002073882,0.0006912392,0.00003384772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004815321,0.0005963535,0.532822,0.0012747,0.001005759,0.00005179828,0.0004196918,0.003092549,0.005921794,0.008109071,0.3774886,0.06440233],"study_design_scores_gemma":[0.0009227189,0.00002155063,0.2386059,0.0003536585,0.0001396403,0.00003726858,0.001235397,0.0009742723,0.0001921709,0.00041443,0.7568198,0.0002832409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9680495,0.0004891772,0.0008502146,0.0211564,0.001208741,0.0001847981,0.00001106356,0.00003085184,0.008019204],"genre_scores_gemma":[0.996548,0.00003852268,0.0002261206,0.001197242,0.001101534,0.000002806019,0.000004691703,0.00002292305,0.0008581587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3793312,"threshold_uncertainty_score":0.5448837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137534662504429,"score_gpt":0.21867270086872,"score_spread":0.204919234618277,"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."}}