{"id":780,"date":"2018-01-12T13:48:13","date_gmt":"2018-01-12T08:18:13","guid":{"rendered":"https:\/\/www.only-b2b.com\/blog\/?p=780"},"modified":"2024-12-16T19:12:25","modified_gmt":"2024-12-16T13:42:25","slug":"the-cost-of-bad-data-how-to-fix-it-effortlessly","status":"publish","type":"post","link":"https:\/\/www.only-b2b.com\/blog\/the-cost-of-bad-data-how-to-fix-it-effortlessly\/","title":{"rendered":"The Cost of Bad Data (+ How To Fix It Effortlessly)"},"content":{"rendered":"\n

The Cost of Bad Data (+ How to Fix It)<\/strong><\/p>\n\n\n\n

Your marketing and sales team decides to run a campaign, personalizes each email and start to send them out.<\/strong>\u00a0Sounds great!\u00a0While a few emails are delivered successfully (yay!), a few bounce back and others are ignored (nay!).\u00a0<\/p>\n\n\n\n

Before you lash out at anyone (or anything!), you must know that it\u00a0could<\/em>\u00a0be the fault of bad data. But, your team collected the information from the prospects<\/span><\/a>. How can that be wrong?<\/p>\n\n\n\n

You are right! Information collected from the prospects isn\u2019t usually wrong when you are contacting them\u00a0initially<\/strong>. But over time, people change jobs, email addresses, profiles, etc.\u00a0<\/p>\n\n\n\n

This happens more often than we think it does. According to a few studies and surveys conducted by\u00a0Hubspot\u00a0and\u00a0Kissmetrics,<\/p>\n\n\n\n

Must Read:<\/span> <\/strong>Data Hygiene: Mastering CRM Data Cleansing for Optimal Performance<\/span><\/a><\/p>\n\n\n\n

What is the cost of bad data? My campaigns are giving brilliant results. Why do I worry?<\/strong><\/p>\n\n\n\n

A\u00a0study by DiscoverOrg\u00a0found that sales and marketing departments lose approximately 550 hours and as much as $32,000 per sales rep from using bad data.\u00a0It is not only about losing enormous amounts of money every year, it is also wasting the time of each rep in chasing down the non-responders. <\/p>\n\n\n\n

They could have been utilizing that time in a B2B lead generation<\/span><\/a> and engage hot leads<\/mark><\/a> instead.\u00a0We don\u2019t have to mention the lost morale of the sales team when they aren\u2019t able to close deals.\u00a0\u00a0<\/p>\n\n\n\n

What is the core problem? Bad data!<\/strong>\u00a0We have always advocated\u00a0outsourcing. <\/p>\n\n\n\n

But, if you do not want to outsource\u00a0data gathering and cleaning, you can take a few steps. There are several benefits of clean data which we have discussed\u00a0here.<\/p>\n\n\n\n

Must Read: <\/span>What Is Database Cleansing and Why Is It Important?<\/span><\/a><\/p>\n\n\n\n

How to fix bad data<\/strong><\/p>\n\n\n\n

You don\u2019t have to pull your hair! Here are 4 ways to keep your data clean.<\/p>\n\n\n\n

1. Sales and marketing are friends!<\/strong> It is the combined efforts of marketing and sales that boost sales. While both of them will have their independent systems of following up leads, it is essential that both parties have access to one<\/strong> single database. Both the teams should be able to edit and update this database.<\/p>\n\n\n\n

2. <\/strong>Identify and merge duplicate contacts<\/strong> Do you remember the times when the same brand emailed or called you twice for the same offer? They might be different people but the purpose is the same. So unprofessional (and annoying)!  Go through your leads and merge the duplicates. You can always automate the process of finding duplicates. <\/p>\n\n\n\n

3. <\/strong>Remove inactive leads<\/strong> You have the database of people who aren\u2019t opening any emails or messages for a long time. Are they adding any value to your brand? 1No.<\/strong> If they haven’t taken any action in the past six months, consider removing them from your database. Also, do not forget to monitor bounced email addresses.<\/strong><\/p>\n\n\n\n

4. <\/strong>Have written standards<\/strong> It is important that data is entered in a standardized format. Also, ensure that all entries are free of spelling mistakes.<\/p>\n\n\n\n

5. Establish a regular schedule of data cleansing<\/span><\/a> and augmentation<\/strong> At regular intervals, take the time and effort to go through your database in detail. Ensure to build processes and written guidelines around it. This reminds me of Jonathan Burg’s statement,<\/p>\n\n\n\n

“”Data is the oil of any marketing engine, and in order to create perpetual demand generation, data accuracy needs to be a top priority. Marketers must be ruthless and deliberate about data quality and standardization at point of entry””<\/strong><\/p>\n\n\n\n

Are you a victim of bad data? Which tools or process did you use to update information and fix bad data?<\/p>\n\n\n\n

Email Marketing Summary: Bad data has enormous costs in terms of lost opportunity even when your campaigns are giving brilliant results. Wondering how and what to do? Read this<\/em><\/p>\n\n\n\n

Must Read: <\/span>What is Data Cleansing and Appending<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

The Cost of Bad Data (+ How to Fix It) Your marketing and sales team decides to run a campaign, personalizes each email and start to send them out.\u00a0Sounds great!\u00a0While a few emails are delivered successfully (yay!), a few bounce back and others are ignored (nay!).\u00a0 Before you lash out at anyone (or anything!), you must know that it\u00a0could\u00a0be the fault of bad data. But, your team collected the information from the prospects. How can that be wrong? You are right! Information collected from the prospects isn\u2019t usually wrong when you are contacting them\u00a0initially. But over time, people change jobs, email addresses, profiles, etc.\u00a0 This happens more often than we think it does. According to a few studies and surveys conducted by\u00a0Hubspot\u00a0and\u00a0Kissmetrics, Must Read: Data Hygiene: Mastering CRM Data Cleansing for Optimal Performance What is the cost of bad data? My campaigns are giving brilliant results. Why do I worry? A\u00a0study by DiscoverOrg\u00a0found that sales and marketing departments lose approximately 550 hours and as much as $32,000 per sales rep from using bad data.\u00a0It is not only about losing enormous amounts of money every year, it is also wasting the time of each rep in chasing down the non-responders. They could have been utilizing that time in a B2B lead generation and engage hot leads instead.\u00a0We don\u2019t have to mention the lost morale of the sales team when they aren\u2019t able to close deals.\u00a0\u00a0 What is the core problem? Bad data!\u00a0We have always advocated\u00a0outsourcing. But, if you do not want to outsource\u00a0data gathering and cleaning, you can take a few steps. There are several benefits of clean data which we have discussed\u00a0here. Must Read: What Is Database Cleansing and Why Is It Important? How to fix bad data You don\u2019t have to pull your hair! Here are 4 ways to keep your data clean. 1. Sales and marketing are friends! It is the combined efforts of marketing and sales that boost sales. While both of them will have their independent systems of following up leads, it is essential that both parties have access to one single database. Both the teams should be able to edit and update this database. 2. Identify and merge duplicate contacts Do you remember the times when the same brand emailed or called you twice for the same offer? They might be different people but the purpose is the same. So unprofessional (and annoying)!  Go through your leads and merge the duplicates. You can always automate the process of finding duplicates.  3. Remove inactive leads You have the database of people who aren\u2019t opening any emails or messages for a long time. Are they adding any value to your brand? 1No. If they haven’t taken any action in the past six months, consider removing them from your database. Also, do not forget to monitor bounced email addresses. 4. Have written standards It is important that data is entered in a standardized format. Also, ensure that all entries are free of spelling mistakes. 5. Establish a regular schedule of data cleansing and augmentation At regular intervals, take the time and effort to go through your database in detail. Ensure to build processes and written guidelines around it. This reminds me of Jonathan Burg’s statement, “”Data is the oil of any marketing engine, and in order to create perpetual demand generation, data accuracy needs to be a top priority. Marketers must be ruthless and deliberate about data quality and standardization at point of entry”” Are you a victim of bad data? Which tools or process did you use to update information and fix bad data? Email Marketing Summary: Bad data has enormous costs in terms of lost opportunity even when your campaigns are giving brilliant results. Wondering how and what to do? Read this Must Read: What is Data Cleansing and Appending<\/p>\n","protected":false},"author":2,"featured_media":1020,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[111,9],"tags":[132,133],"class_list":["post-780","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-disaster-management","category-database-cleansing","tag-bad-data","tag-cost-of-bad-data"],"yoast_head":"\nThe Cost of Bad Data (+ How To Fix It Effortlessly) - Only-B2B<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.only-b2b.com\/blog\/the-cost-of-bad-data-how-to-fix-it-effortlessly\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Cost of Bad Data (+ How To Fix It Effortlessly) - Only-B2B\" \/>\n<meta property=\"og:description\" content=\"The Cost of Bad Data (+ How to Fix It) Your marketing and sales team decides to run a campaign, personalizes each email and start to send them out.\u00a0Sounds great!\u00a0While a few emails are delivered successfully (yay!), a few bounce back and others are ignored (nay!).\u00a0 Before you lash out at anyone (or anything!), you must know that it\u00a0could\u00a0be the fault of bad data. But, your team collected the information from the prospects. How can that be wrong? You are right! Information collected from the prospects isn\u2019t usually wrong when you are contacting them\u00a0initially. But over time, people change jobs, email addresses, profiles, etc.\u00a0 This happens more often than we think it does. According to a few studies and surveys conducted by\u00a0Hubspot\u00a0and\u00a0Kissmetrics, Must Read: Data Hygiene: Mastering CRM Data Cleansing for Optimal Performance What is the cost of bad data? My campaigns are giving brilliant results. Why do I worry? A\u00a0study by DiscoverOrg\u00a0found that sales and marketing departments lose approximately 550 hours and as much as $32,000 per sales rep from using bad data.\u00a0It is not only about losing enormous amounts of money every year, it is also wasting the time of each rep in chasing down the non-responders. They could have been utilizing that time in a B2B lead generation and engage hot leads instead.\u00a0We don\u2019t have to mention the lost morale of the sales team when they aren\u2019t able to close deals.\u00a0\u00a0 What is the core problem? Bad data!\u00a0We have always advocated\u00a0outsourcing. But, if you do not want to outsource\u00a0data gathering and cleaning, you can take a few steps. There are several benefits of clean data which we have discussed\u00a0here. Must Read: What Is Database Cleansing and Why Is It Important? How to fix bad data You don\u2019t have to pull your hair! Here are 4 ways to keep your data clean. 1. Sales and marketing are friends! It is the combined efforts of marketing and sales that boost sales. While both of them will have their independent systems of following up leads, it is essential that both parties have access to one single database. Both the teams should be able to edit and update this database. 2. Identify and merge duplicate contacts Do you remember the times when the same brand emailed or called you twice for the same offer? They might be different people but the purpose is the same. So unprofessional (and annoying)!  Go through your leads and merge the duplicates. You can always automate the process of finding duplicates.  3. Remove inactive leads You have the database of people who aren\u2019t opening any emails or messages for a long time. Are they adding any value to your brand? 1No. If they haven’t taken any action in the past six months, consider removing them from your database. Also, do not forget to monitor bounced email addresses. 4. Have written standards It is important that data is entered in a standardized format. Also, ensure that all entries are free of spelling mistakes. 5. Establish a regular schedule of data cleansing and augmentation At regular intervals, take the time and effort to go through your database in detail. Ensure to build processes and written guidelines around it. This reminds me of Jonathan Burg’s statement, “”Data is the oil of any marketing engine, and in order to create perpetual demand generation, data accuracy needs to be a top priority. Marketers must be ruthless and deliberate about data quality and standardization at point of entry”” Are you a victim of bad data? Which tools or process did you use to update information and fix bad data? Email Marketing Summary: Bad data has enormous costs in terms of lost opportunity even when your campaigns are giving brilliant results. Wondering how and what to do? Read this Must Read: What is Data Cleansing and Appending\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.only-b2b.com\/blog\/the-cost-of-bad-data-how-to-fix-it-effortlessly\/\" \/>\n<meta property=\"og:site_name\" content=\"Only-B2B\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/onlyb2b\/\" \/>\n<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/vikas.bhatt.564\" \/>\n<meta property=\"article:published_time\" content=\"2018-01-12T08:18:13+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-16T13:42:25+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.only-b2b.com\/blog\/wp-content\/uploads\/2018\/01\/The-Cost-of-Bad-Data-How-To-Fix-It-Effortlessly_Social-1-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"630\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Vikas Bhatt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:image\" content=\"https:\/\/www.only-b2b.com\/blog\/wp-content\/uploads\/2018\/01\/The-Cost-of-Bad-Data-How-To-Fix-It-Effortlessly_Social-1-1.jpg\" \/>\n<meta name=\"twitter:creator\" content=\"@vikas1bhatt\" \/>\n<meta name=\"twitter:site\" content=\"@Onlyb2b\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Vikas Bhatt\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/the-cost-of-bad-data-how-to-fix-it-effortlessly\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/the-cost-of-bad-data-how-to-fix-it-effortlessly\\\/\"},\"author\":{\"name\":\"Vikas Bhatt\",\"@id\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/#\\\/schema\\\/person\\\/a7fa05a735625f487043ae4b519fd9dc\"},\"headline\":\"The Cost of Bad Data (+ How To Fix It Effortlessly)\",\"datePublished\":\"2018-01-12T08:18:13+00:00\",\"dateModified\":\"2024-12-16T13:42:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/the-cost-of-bad-data-how-to-fix-it-effortlessly\\\/\"},\"wordCount\":679,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/the-cost-of-bad-data-how-to-fix-it-effortlessly\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/wp-content\\\/uploads\\\/2018\\\/01\\\/The-Cost-of-Bad-Data-How-To-Fix-It-Effortlessly-1.jpg\",\"keywords\":[\"bad data\",\"cost of bad data\"],\"articleSection\":[\"Data Disaster Management\",\"Database Cleansing\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/the-cost-of-bad-data-how-to-fix-it-effortlessly\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/the-cost-of-bad-data-how-to-fix-it-effortlessly\\\/\",\"url\":\"https:\\\/\\\/www.only-b2b.com\\\/blog\\\/the-cost-of-bad-data-how-to-fix-it-effortlessly\\\/\",\"name\":\"The Cost of Bad Data (+ How To Fix It Effortlessly) - 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But, your team collected the information from the prospects. How can that be wrong? You are right! Information collected from the prospects isn\u2019t usually wrong when you are contacting them\u00a0initially. But over time, people change jobs, email addresses, profiles, etc.\u00a0 This happens more often than we think it does. According to a few studies and surveys conducted by\u00a0Hubspot\u00a0and\u00a0Kissmetrics, Must Read: Data Hygiene: Mastering CRM Data Cleansing for Optimal Performance What is the cost of bad data? My campaigns are giving brilliant results. Why do I worry? A\u00a0study by DiscoverOrg\u00a0found that sales and marketing departments lose approximately 550 hours and as much as $32,000 per sales rep from using bad data.\u00a0It is not only about losing enormous amounts of money every year, it is also wasting the time of each rep in chasing down the non-responders. They could have been utilizing that time in a B2B lead generation and engage hot leads instead.\u00a0We don\u2019t have to mention the lost morale of the sales team when they aren\u2019t able to close deals.\u00a0\u00a0 What is the core problem? Bad data!\u00a0We have always advocated\u00a0outsourcing. But, if you do not want to outsource\u00a0data gathering and cleaning, you can take a few steps. There are several benefits of clean data which we have discussed\u00a0here. Must Read: What Is Database Cleansing and Why Is It Important? How to fix bad data You don\u2019t have to pull your hair! Here are 4 ways to keep your data clean. 1. Sales and marketing are friends! It is the combined efforts of marketing and sales that boost sales. While both of them will have their independent systems of following up leads, it is essential that both parties have access to one single database. Both the teams should be able to edit and update this database. 2. Identify and merge duplicate contacts Do you remember the times when the same brand emailed or called you twice for the same offer? They might be different people but the purpose is the same. So unprofessional (and annoying)!  Go through your leads and merge the duplicates. You can always automate the process of finding duplicates.  3. Remove inactive leads You have the database of people who aren\u2019t opening any emails or messages for a long time. Are they adding any value to your brand? 1No. If they haven’t taken any action in the past six months, consider removing them from your database. Also, do not forget to monitor bounced email addresses. 4. Have written standards It is important that data is entered in a standardized format. Also, ensure that all entries are free of spelling mistakes. 5. Establish a regular schedule of data cleansing and augmentation At regular intervals, take the time and effort to go through your database in detail. Ensure to build processes and written guidelines around it. This reminds me of Jonathan Burg’s statement, “”Data is the oil of any marketing engine, and in order to create perpetual demand generation, data accuracy needs to be a top priority. Marketers must be ruthless and deliberate about data quality and standardization at point of entry”” Are you a victim of bad data? Which tools or process did you use to update information and fix bad data? Email Marketing Summary: Bad data has enormous costs in terms of lost opportunity even when your campaigns are giving brilliant results. Wondering how and what to do? 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