Knowledge

Customer intelligence

Source ๐Ÿ“

35: 302: 375:
As an example, some customers walk into a store and walk out without buying anything. Information about these customers/prospects (or their visits) may not exist in a traditional CRM system, as no sales are entered on the store cash register. Although no commercial transaction took place, knowing
442:โ€“ used to monitor the popularity and usage of corporate websites, this data can provide clues to product interest and buying intention. For example, a company may infer a customer is interested in purchasing a particular service if they are spending time browsing specific product pages. 420:
By mining this data, and placing it in context with wider information about competitors, conditions in the industry, and general trends, information can be obtained about customers' existing and future needs, how they reach decisions, and predictions made about their future behavior.
480:
This knowledge can then be applied to support more effective and strategic decision making โ€“ for example, understanding why customers call makes it easier to predict (and plan to reduce) call volumes in a
477:
Customer intelligence provides a detailed understanding of the experience customers have in interacting with a company, and allows predictions to be made regarding reasons behind customer behaviors.
451:
Frontline data capture may (or may not) form part of a CRM software solution, but which is used by front line agents to record more subjective data regarding customer contacts, such as the
380:
customers leave the store (perhaps by asking them, or a store employee, to complete a survey) and using this data to make inferences about customer behaviour, is an example of CI.
448:โ€“ software solutions used for to manage customer relationships which can store data on the quantity, type and category of customer and prospect contacts. 642: 356:
is the process of gathering and analyzing information regarding customers, and their details and activities, to build deeper and more effective
332: 541: 372:(CRM), and when effectively implemented it is a rich source of insight into the behaviour and experience of a company's customer base. 689: 469:, which can additionally be applied, for customer intelligence purposes, to contact center notes, e-mail, and other textual sources. 99: 71: 593: 52: 403:(for example purchase history from sales and order processing), and interactions with service contacts over the phone and via 528: 78: 17: 694: 571: 624: 325: 85: 118: 445: 432:โ€“ used to monitor telephone conversations taking place between companies and customers, using phonetic analysis or 369: 357: 67: 400: 276: 56: 318: 186: 410:
A further subjective dimension can be added, in the form of customer satisfaction surveys or agent data.
646: 482: 251: 236: 216: 92: 256: 246: 191: 176: 45: 455:
of the customer picking up the phone (e.g. they received their bill) or their emotional state.
549: 458: 353: 161: 601: 271: 266: 261: 241: 8: 452: 523:
Shaw, Robert, Measuring and Valuing Customer Relationships (2000) Business Intelligence
499: 494: 433: 281: 206: 524: 211: 171: 504: 429: 414: 396: 166: 628: 462: 306: 231: 579: 625:"Drive your business growth with Nexidia's advanced speech analytics solutions" 466: 439: 389: 286: 226: 201: 683: 151: 196: 146: 392:โ€“ basic key facts about the customer, such as their geographic location. 436:
to find keywords and phrases, classify call types and identify trends.
221: 417:
to get a better view of how their service benchmarks in the market.
34: 301: 156: 404: 672: 368:
Customer intelligence is a key component of effective
363: 59:. Unsourced material may be challenged and removed. 413:Finally, a company can use competitor insight and 681: 673:"Academic Papers about Customers Intelligence" 326: 399:โ€“ reports of customer activity. This can be 424: 333: 319: 643:"Digital Marketing Solutions โ€“ Webtrends" 119:Learn how and when to remove this message 360:and improve decision-making by vendors. 14: 682: 564: 533: 539: 395:This data is then supplemented with 57:adding citations to reliable sources 28: 622: 546:Profit โ€“ The Business of Technology 24: 586: 388:Customer Intelligence begins with 25: 706: 665: 542:"Capturing Customer Intelligence" 690:Customer relationship management 446:Customer relationship management 370:customer relationship management 364:Customer relationship management 300: 33: 572:"What is Customer Intelligence" 44:needs additional citations for 635: 616: 517: 277:Return on marketing investment 13: 1: 510: 187:Customer lifecycle management 177:Chief Marketing Officer (CMO) 7: 695:Business intelligence terms 488: 472: 10: 711: 383: 465:surveys, often mined via 252:Organization development 237:Marketing accountability 217:Digital asset management 594:"Customer Intelligence" 540:Joch, Alan (May 2005). 425:Example sources of data 257:Post-merger integration 247:Marketing effectiveness 192:Customer lifetime value 68:"Customer intelligence" 401:commercial information 358:customer relationships 459:Customer satisfaction 354:business intelligence 346:Customer intelligence 182:Customer intelligence 162:Business intelligence 18:Consumer intelligence 675:. Universiteit Gent. 631:on 18 December 2008. 582:on 19 December 2008. 552:on 21 September 2006 272:Process optimization 267:Predictive modelling 262:Predictive analytics 242:Marketing automation 134:Marketing operations 53:improve this article 307:Business portal 649:on 26 January 2009 598:Gateway2Investment 500:Customer knowledge 495:Customer analytics 282:Strategic planning 207:Database marketing 529:978-1-898085-33-1 343: 342: 212:Demand generation 172:Change management 129: 128: 121: 103: 16:(Redirected from 702: 676: 659: 658: 656: 654: 645:. Archived from 639: 633: 632: 627:. Archived from 620: 614: 613: 611: 609: 604:on 24 April 2009 600:. Archived from 590: 584: 583: 578:. Archived from 568: 562: 561: 559: 557: 548:. Archived from 537: 531: 521: 505:Speech analytics 430:Speech analytics 415:mystery shopping 397:transaction data 335: 328: 321: 305: 304: 167:Business process 131: 130: 124: 117: 113: 110: 104: 102: 61: 37: 29: 21: 710: 709: 705: 704: 703: 701: 700: 699: 680: 679: 671: 668: 663: 662: 652: 650: 641: 640: 636: 621: 617: 607: 605: 592: 591: 587: 570: 569: 565: 555: 553: 538: 534: 522: 518: 513: 491: 475: 463:market research 427: 386: 366: 339: 299: 292: 291: 232:Lead generation 202:Data warehouses 142: 125: 114: 108: 105: 62: 60: 50: 38: 23: 22: 15: 12: 11: 5: 708: 698: 697: 692: 678: 677: 667: 666:External links 664: 661: 660: 634: 615: 585: 563: 532: 515: 514: 512: 509: 508: 507: 502: 497: 490: 487: 483:contact centre 474: 471: 467:text analytics 440:Click tracking 434:speech to text 426: 423: 390:reference data 385: 382: 365: 362: 341: 340: 338: 337: 330: 323: 315: 312: 311: 310: 309: 294: 293: 290: 289: 287:Systems theory 284: 279: 274: 269: 264: 259: 254: 249: 244: 239: 234: 229: 227:Infrastructure 224: 219: 214: 209: 204: 199: 194: 189: 184: 179: 174: 169: 164: 159: 154: 152:Best practices 149: 143: 140: 139: 136: 135: 127: 126: 41: 39: 32: 9: 6: 4: 3: 2: 707: 696: 693: 691: 688: 687: 685: 674: 670: 669: 648: 644: 638: 630: 626: 619: 603: 599: 595: 589: 581: 577: 573: 567: 551: 547: 543: 536: 530: 526: 520: 516: 506: 503: 501: 498: 496: 493: 492: 486: 484: 478: 470: 468: 464: 460: 456: 454: 449: 447: 443: 441: 437: 435: 431: 422: 418: 416: 411: 408: 406: 402: 398: 393: 391: 381: 379: 373: 371: 361: 359: 355: 352:) as part of 351: 347: 336: 331: 329: 324: 322: 317: 316: 314: 313: 308: 303: 298: 297: 296: 295: 288: 285: 283: 280: 278: 275: 273: 270: 268: 265: 263: 260: 258: 255: 253: 250: 248: 245: 243: 240: 238: 235: 233: 230: 228: 225: 223: 220: 218: 215: 213: 210: 208: 205: 203: 200: 198: 195: 193: 190: 188: 185: 183: 180: 178: 175: 173: 170: 168: 165: 163: 160: 158: 155: 153: 150: 148: 145: 144: 138: 137: 133: 132: 123: 120: 112: 101: 98: 94: 91: 87: 84: 80: 77: 73: 70: โ€“  69: 65: 64:Find sources: 58: 54: 48: 47: 42:This article 40: 36: 31: 30: 27: 19: 651:. Retrieved 647:the original 637: 629:the original 618: 606:. Retrieved 602:the original 597: 588: 580:the original 575: 566: 554:. Retrieved 550:the original 545: 535: 519: 479: 476: 457: 450: 444: 438: 428: 419: 412: 409: 394: 387: 377: 374: 367: 349: 345: 344: 197:Data quality 181: 147:Benchmarking 141:Key concepts 115: 106: 96: 89: 82: 75: 63: 51:Please help 46:verification 43: 26: 684:Categories 653:3 February 608:3 February 556:3 February 511:References 453:root cause 109:April 2019 79:newspapers 623:Nexidia. 576:CRM Today 222:Flowchart 157:Budgeting 489:See also 473:Benefits 384:Process 93:scholar 527:  95:  88:  81:  74:  66:  405:email 100:JSTOR 86:books 655:2009 610:2009 558:2009 525:ISBN 461:and 72:news 378:why 55:by 686:: 596:. 574:. 544:. 485:. 407:. 350:CI 657:. 612:. 560:. 348:( 334:e 327:t 320:v 122:) 116:( 111:) 107:( 97:ยท 90:ยท 83:ยท 76:ยท 49:. 20:)

Index

Consumer intelligence

verification
improve this article
adding citations to reliable sources
"Customer intelligence"
news
newspapers
books
scholar
JSTOR
Learn how and when to remove this message
Benchmarking
Best practices
Budgeting
Business intelligence
Business process
Change management
Chief Marketing Officer (CMO)
Customer intelligence
Customer lifecycle management
Customer lifetime value
Data quality
Data warehouses
Database marketing
Demand generation
Digital asset management
Flowchart
Infrastructure
Lead generation

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.

โ†‘