Prediction : the future of CX
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| Tag | 1 | 2 | Value |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20210006890 | ||
| 003 | MAP | ||
| 005 | 20220901125815.0 | ||
| 008 | 180511e20210201usa|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.111 | ||
| 245 | 1 | 0 | $aPrediction$b: the future of CX$cRachel Diebner...[et al.] |
| 260 | $aNew York$bMcKinsey & Company$c2021 | ||
| 300 | $a8 p. | ||
| 490 | 0 | $aMcKinsey Quarterly | |
| 520 | 3 | $aCompanies of all stripes have invested heavily in tools and technologies to help them understand their customers more deeply and to gain the advantages of superior customer experience (CX). Yet as leaders strive to form a more complete picture of customer preferences and behaviors, they continue to rely on aging survey-based measurement systems that for decades have formed the backbone of CX efforts. Companies use these systems to track CX performance through brand or relationship surveys, close the loop on customer feedback via post-transaction surveys, and even plot strategic moves by attempting to mine the feedback from their regular surveys over time. Entire teams dedicate themselves to managing questionnaires and boosting response ratesand the resulting metrics can shape everything from employee bonuses and executive compensation to strategic investment decisions. | |
| 650 | 4 | $0MAPA20080624019$aComportamiento del consumidor | |
| 650 | 4 | $0MAPA20150006509$aExperiencia del cliente | |
| 650 | 4 | $0MAPA20080595296$aComercio electrónico | |
| 650 | 4 | $0MAPA20120019492$aTendencias | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20080550592$aEncuestas | |
| 650 | 4 | $0MAPA20130017037$aAnálisis predictivos | |
| 650 | $0MAPA20080547738$aInternet | ||
| 700 | 1 | $0MAPA20210004155$aDiebner, Rachel | |
| 710 | 2 | $0MAPA20080442569$aMcKinsey & Company | |
| 830 | 0 | $0MAPA20130011332$aMcKinsey Quarterly |