{"id":"W4391774495","doi":"10.1080/15332969.2024.2313873","title":"From User Behavior to Subscription Sales: An Insight Into E-Book Platform Leveraging Customer Segmentation and A/B Testing","year":2024,"lang":"en","type":"article","venue":"Services Marketing Quarterly","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Popularity; Computer science; Software portability; Market segmentation; Plan (archaeology); Cluster analysis; Customer retention; Customer service; Service (business); Customer intelligence; Business; Marketing; World Wide Web; Advertising; Machine learning; Service quality","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001861179,0.0002138327,0.0001932322,0.0001885318,0.0006473616,0.001480285,0.0002332247,0.0001365568,0.00007484139],"category_scores_gemma":[0.0001439586,0.0002260645,0.00004587963,0.0004990677,0.00008566431,0.002097232,0.00003675442,0.0001950139,0.0001191277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864151,"about_ca_system_score_gemma":0.00009437923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01026353,"about_ca_topic_score_gemma":0.005258666,"domain_scores_codex":[0.9978216,0.0003807954,0.0003360297,0.0005413196,0.000505339,0.000414936],"domain_scores_gemma":[0.9985049,0.0008272256,0.00008764593,0.0001570676,0.0001285594,0.000294587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007540398,0.00005354659,0.02130431,0.0002306432,0.00002903157,0.00002955366,0.492566,0.000001387814,0.004142007,0.0001339126,0.0003480368,0.4810862],"study_design_scores_gemma":[0.0008527116,0.0006211863,0.2358161,0.003810457,0.0003315296,0.000006327904,0.5900895,0.001867765,0.0001668345,0.002435332,0.1620999,0.001902433],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826525,0.0005629853,0.00004611496,0.0003745174,0.001124834,0.0003918397,0.00001286105,0.0004996611,0.01433468],"genre_scores_gemma":[0.9954423,0.00002089414,0.002116155,0.0005645155,0.0009909476,0.00007064229,0.0000722445,0.00004326419,0.000679071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4791837,"threshold_uncertainty_score":0.9995563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076145599885251,"score_gpt":0.292971197817228,"score_spread":0.2722097418183755,"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."}}