{"id":187,"date":"2019-05-10T11:55:06","date_gmt":"2019-05-10T11:55:06","guid":{"rendered":"https:\/\/www.packeddata.com\/blog\/?p=187"},"modified":"2019-05-10T11:55:08","modified_gmt":"2019-05-10T11:55:08","slug":"good-data-isnt-cheap-but-bad-data-is-even-more-expensive","status":"publish","type":"post","link":"https:\/\/www.packeddata.com\/blog\/good-data-isnt-cheap-but-bad-data-is-even-more-expensive\/","title":{"rendered":"Good data isn\u00e2\u20ac\u2122t cheap. But bad data is even more expensive!"},"content":{"rendered":"\n<p>There are various methods for marketing but the most favorite one of marketers is Email Marketing. The backbone of email marketing is data. Not just data, but good data!<\/p>\n\n\n\n<p><strong><em>Bad data costs the United States more than $3 trillion per year according to Thomas Redmond. In a Harvard Business Review (HBR)\u00c2\u00a0<\/em><\/strong><a rel=\"noreferrer noopener\" href=\"https:\/\/hbr.org\/2016\/09\/bad-data-costs-the-u-s-3-trillion-per-year\" target=\"_blank\"><strong><em>article<\/em><\/strong><\/a><strong><em> published in 2016, he explained it this way, \u00e2\u20ac\u0153salespeople waste time dealing with erred prospect data and data scientists spend an inordinate amount of time cleaning data. <\/em><\/strong><\/p>\n\n\n\n<p>Data\nbought from large directories, where the validation process is not very\naccurate can create a big chunk of bad data in your CRM. Data entry errors are\nnot the only problem and sometimes the data is out of date too, considering\nthat decision makers often change jobs. This results in personalized or\nautomated emails being incorrectly targeted, making bad data expensive. <\/p>\n\n\n\n<p><strong><em>According to another report by SiriusDecisions, there\u00e2\u20ac\u2122s a simple formula for understanding the cost of bad data: It costs $1 to verify data as it\u00e2\u20ac\u2122s entered; $10 to cleanse and de-dupe each error that slips through; and $100 per error to operate a system with bad data.<\/em><\/strong><\/p>\n\n\n\n<p><strong><em>Given that between 10% and 25% of the typical B2B database is incorrect, that\u00e2\u20ac\u2122s some pretty chilling math.\u00c2\u00a0<\/em><\/strong><\/p>\n\n\n\n<p>Thus,\nmaking sure that the data is clean and compatible can have a huge impact on a\nteam&#8217;s results by, &#8220;weeding out less reliable data points and helping to\nfilter through the noise to spot the prevalent trends.&#8221;<\/p>\n\n\n\n<p><a href=\"https:\/\/www.packeddata.com\">Packed Data Services<\/a> helps marketers address a good part of the\n&#8220;simple data&#8221; problem by providing clean, fresh, basic CRM data\nincluding phone numbers and email addresses that are verified via a combination\nof software tools and human curation. &nbsp;For any data requirements please email us at\nsales@packeddata.com<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There are various methods for marketing but the most favorite one of marketers is Email Marketing. The backbone of email marketing is data. Not just data, but good data! Bad data costs the United States more than $3 trillion per year according to Thomas Redmond. In a Harvard Business Review (HBR)\u00c2\u00a0article published in 2016, he [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":197,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-187","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-marketing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Good data isn\u00e2\u20ac\u2122t cheap. 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The backbone of email marketing is data, Good Data!\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.packeddata.com\/blog\/good-data-isnt-cheap-but-bad-data-is-even-more-expensive\/\" \/>\n<meta property=\"og:site_name\" content=\"Marketing Intelligence Blog - Packed Data Services\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/packeddata\" \/>\n<meta property=\"article:published_time\" content=\"2019-05-10T11:55:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-05-10T11:55:08+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.packeddata.com\/blog\/wp-content\/uploads\/2019\/05\/The-Real-Cost-of-Bad-Data-And-How-to-Cleanse-It-Banner.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"500\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Daniel George\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@packeddata\" \/>\n<meta name=\"twitter:site\" content=\"@packeddata\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel George\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/good-data-isnt-cheap-but-bad-data-is-even-more-expensive\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/good-data-isnt-cheap-but-bad-data-is-even-more-expensive\\\/\"},\"author\":{\"name\":\"Daniel George\",\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/#\\\/schema\\\/person\\\/a76bd800c6166bf7c824c9320a5eec52\"},\"headline\":\"Good data isn\u00e2\u20ac\u2122t cheap. 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