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  <titleInfo>
    <title>Marketing analytics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Gupta, Seema</namePart>
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  <name type="personal">
    <namePart>Jathar, Avadhoot -- author</namePart>
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  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New Delhi</placeTerm>
    </place>
    <publisher>Wiley</publisher>
    <dateIssued>2026</dateIssued>
    <edition>2nd edition</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">Eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">lis</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">h</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxiv, 522 p. : ill. ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Book Overview : This textbook is a practical reference for students and professionals, focusing on applying statistical, machine learning, and generative AI models to various marketing sectors</tableOfContents>
  <note type="statement of responsibility">Seema Gupta; Avadhoot Jathar</note>
  <subject>
    <topic>Marketing – Data processing Marketing – Statistical methods Marketing research – Methodology Big data – Marketing Branding and product development. Pricing and marketing mix. Customer Journey mapping and analysis. Customer relations – Data processing Marketing Metrics. Predictive Analytics. Market Segmentation. Marketing Mix Modeling (MMM)</topic>
  </subject>
  <classification authority="ddc">658.8 GUP</classification>
  <identifier type="isbn">9789373320489 (pbk.)</identifier>
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    <recordCreationDate encoding="marc">260407</recordCreationDate>
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