{"id":8012,"date":"2026-09-22T08:59:26","date_gmt":"2026-09-22T08:59:26","guid":{"rendered":"https:\/\/www.verbat.com\/blog\/?p=8012"},"modified":"2026-10-07T09:00:37","modified_gmt":"2026-10-07T09:00:37","slug":"8012-2","status":"publish","type":"post","link":"https:\/\/www.verbat.com\/blog\/8012-2\/","title":{"rendered":"The Hidden Cost of Poor CRM Data Hygiene"},"content":{"rendered":"
<\/div>\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

<\/h1>\n

A CRM can contain millions of customer records and still fail at the one thing the business needs most: telling teams what is actually happening with customers.<\/p>\n

Duplicate accounts, outdated contact details, incomplete fields, inconsistent naming conventions, disconnected interaction histories, and incorrectly assigned ownership may look like minor data-quality issues. At enterprise scale, they become operational problems.<\/p>\n

Poor CRM data hygiene does not simply make a database untidy. It affects sales productivity, customer experience, forecasting accuracy, marketing performance, reporting, and increasingly, the reliability of AI-driven decision-making.<\/p>\n

What CRM Data Hygiene Really Means<\/h2>\n

CRM data hygiene is the ongoing process of keeping customer and prospect data accurate, complete, consistent, current, and usable<\/strong>.<\/p>\n

This includes activities such as:<\/p>\n

    \n
  • Removing duplicate customer and prospect records<\/li>\n
  • Updating outdated contact and company information<\/li>\n
  • Standardising names, industries, locations, and other fields<\/li>\n
  • Correcting inaccurate or incomplete records<\/li>\n
  • Maintaining consistent account ownership<\/li>\n
  • Validating email addresses and other contact information<\/li>\n
  • Eliminating obsolete records and inactive accounts where appropriate<\/li>\n
  • Ensuring customer interactions are associated with the correct accounts and contacts<\/li>\n
  • Establishing governance rules for how CRM data is created and maintained<\/li>\n<\/ul>\n

    The challenge is that CRM data rarely becomes inaccurate overnight. It deteriorates gradually as sales representatives change roles, customers reorganise, companies merge, prospects move jobs, new systems are integrated, and employees enter information differently.<\/p>\n

    That gradual deterioration makes the cost difficult to see.<\/p>\n

    The First Hidden Cost: Lost Sales Productivity<\/h2>\n

    Sales teams depend on CRM data to determine who to contact, when to contact them, what conversations have already happened, and what opportunities are worth pursuing.<\/p>\n

    When that information is unreliable, sales representatives spend time fixing or validating data instead of selling.<\/p>\n

    A duplicate account can split customer interactions across two records. An outdated contact can result in failed outreach. An incorrect opportunity owner can delay follow-up. Missing customer information can force a salesperson to search through emails, spreadsheets, and other systems before making a call.<\/p>\n

    Individually, these inefficiencies appear insignificant.<\/p>\n

    Across hundreds of salespeople, they can represent a substantial productivity drain.<\/p>\n

    The problem is particularly serious when CRM data becomes part of sales automation. Automated workflows can execute inaccurate information at enterprise speed, turning a data-quality problem into a process-quality problem.<\/p>\n

    Poor CRM Data Creates Revenue Leakage<\/h2>\n

    CRM data is often treated as an operational resource, but it directly influences revenue.<\/p>\n

    Consider a customer with multiple records:<\/p>\n

      \n
    • One account contains the current contract.<\/li>\n
    • Another contains historical opportunities.<\/li>\n
    • A third contains recent support interactions.<\/li>\n
    • Different sales representatives own different records.<\/li>\n<\/ul>\n

      The organisation may no longer have a reliable view of the customer’s actual relationship with the business.<\/p>\n

      That can lead to missed expansion opportunities, poorly timed renewals, incorrect account prioritisation, and ineffective cross-selling.<\/p>\n

      The revenue does not necessarily disappear because the product is weak or the sales team is ineffective.<\/p>\n

      Sometimes, the organisation simply fails to see the opportunity because its customer data is fragmented.<\/strong><\/p>\n

      Forecasting Becomes Less Reliable<\/h2>\n

      Sales forecasting depends on the quality of the information behind the forecast.<\/p>\n

      If opportunity stages are inconsistent, close dates are outdated, accounts are duplicated, or opportunities are incorrectly associated with customers, leadership may be looking at a distorted pipeline.<\/p>\n

      That creates several problems.<\/p>\n

      Executives may overestimate expected revenue and make aggressive investment decisions. Sales leaders may underestimate pipeline risk. Finance teams may receive unreliable revenue projections. Resource planning can become disconnected from actual customer demand.<\/p>\n

      This is why CRM data quality is not merely a sales operations issue.<\/p>\n

      It can become a business planning issue<\/strong>.<\/p>\n

      Customer Experience Suffers Too<\/h2>\n

      Customers do not care whether the problem originated in the CRM.<\/p>\n

      They experience the consequences.<\/p>\n

      A customer may receive a marketing email for a product they already purchased. A sales representative may ask for information the customer has already provided. A support team may not see the customer’s previous interactions. Multiple employees may contact the same customer independently.<\/p>\n

      Each incident creates friction.<\/p>\n

      Over time, customers begin to perceive the organisation as disconnected.<\/p>\n

      For enterprises managing complex customer relationships, this is especially damaging because customer experience increasingly depends on the ability to maintain a consistent context across sales, marketing, service, and digital channels.<\/p>\n

      Marketing Efficiency Depends on Data Quality<\/h2>\n

      Marketing automation amplifies whatever data quality exists inside the CRM.<\/p>\n

      Clean data allows organisations to segment customers accurately, personalise campaigns, identify buying signals, and measure campaign performance.<\/p>\n

      Poor data does the opposite.<\/p>\n

      Duplicate records can inflate audience sizes. Incorrect industry classifications can send irrelevant campaigns. Missing lifecycle stages can disrupt nurturing workflows. Outdated contacts can reduce campaign effectiveness.<\/p>\n

      More importantly, inaccurate CRM data makes attribution harder.<\/p>\n

      If customer records cannot reliably connect campaigns, opportunities, purchases, and interactions, marketing teams may struggle to determine which activities actually influence revenue.<\/p>\n

      The result is not simply wasted marketing spend.<\/p>\n

      It is less confidence in marketing decisions.<\/strong><\/p>\n

      The AI Problem: Bad CRM Data Becomes Bad AI Input<\/h2>\n

      This is becoming one of the most important reasons enterprises need to rethink CRM data hygiene.<\/p>\n

      AI systems depend on the data they are given.<\/p>\n

      Organisations are increasingly using AI to generate sales recommendations, summarise customer interactions, identify opportunities, predict churn, prioritise leads, and automate customer engagement.<\/p>\n

      But AI cannot reliably compensate for fundamentally unreliable CRM data.<\/p>\n

      If customer histories are fragmented, an AI system may generate an incomplete account summary.<\/p>\n

      If opportunity stages are inconsistent, predictive models may receive misleading signals.<\/p>\n

      If contact information is outdated, automated engagement can target the wrong people.<\/p>\n

      If customer records contain duplicates, an AI system may interpret one customer as multiple entities.<\/p>\n

      This creates a simple but important principle:<\/p>\n

      AI readiness is increasingly a data-quality problem before it is an AI technology problem.<\/strong><\/p>\n

      CRM Integrations Can Multiply the Problem<\/h2>\n

      Modern CRM environments rarely operate in isolation.<\/p>\n

      They connect with ERP systems, marketing platforms, customer support applications, e-commerce platforms, data warehouses, communication tools, and increasingly, AI platforms.<\/p>\n

      Every integration creates another opportunity for data inconsistency.<\/p>\n

      For example, an ERP may identify a customer using one naming convention while the CRM uses another. A marketing platform may create a new contact instead of matching an existing record. A customer-support platform may contain information that never reaches the central customer profile.<\/p>\n

      Without appropriate data governance, integrations can turn isolated inconsistencies into enterprise-wide inconsistencies.<\/p>\n

      The more connected the technology environment becomes, the more important data consistency becomes.<\/p>\n

      Why CRM Data Hygiene Is Often Neglected<\/h2>\n

      The biggest problem is that CRM data hygiene rarely has a single owner.<\/p>\n

      Sales may own account information.<\/p>\n

      Marketing may manage campaign and prospect data.<\/p>\n

      Customer service may maintain interaction histories.<\/p>\n

      IT may manage integrations.<\/p>\n

      Data teams may manage analytics infrastructure.<\/p>\n

      Business leaders may depend on the resulting reports.<\/p>\n

      When responsibility is fragmented, data quality becomes everyone’s concern but nobody’s continuous responsibility.<\/p>\n

      Another problem is that organisations often focus on CRM implementation rather than CRM maintenance.<\/p>\n

      A new CRM can provide better workflows, dashboards, automation, and integrations. But those capabilities do not automatically guarantee clean data.<\/p>\n

      Data quality requires an operating model.<\/p>\n

      Building a Sustainable CRM Data Hygiene Strategy<\/h2>\n

      Enterprises should treat CRM data quality as an ongoing operational discipline rather than a one-time cleansing exercise.<\/p>\n

      A practical approach includes:<\/p>\n

      Establish Data Ownership<\/h3>\n

      Define who is responsible for different categories of CRM data and establish clear accountability for maintaining them.<\/p>\n

      Standardise Data Entry<\/h3>\n

      Create controlled fields, validation rules, naming conventions, mandatory fields, and consistent processes for creating accounts, contacts, and opportunities.<\/p>\n

      Detect Duplicates Continuously<\/h3>\n

      Duplicate detection should operate continuously rather than only during periodic database-cleaning projects.<\/p>\n

      Monitor Data Quality<\/h3>\n

      Track indicators such as duplicate rates, incomplete records, stale contacts, invalid information, and records without ownership.<\/p>\n

      Govern Integrations<\/h3>\n

      Every system connected to the CRM should have clearly defined rules for how data is created, updated, synchronised, and reconciled.<\/p>\n

      Design for AI Readiness<\/h3>\n

      As AI becomes embedded into CRM platforms, organisations should evaluate whether the underlying customer data is sufficiently accurate, complete, and contextual for AI-driven decisions.<\/p>\n

      CRM Data Quality Is a Business Capability<\/h2>\n

      The hidden cost of poor CRM data is not the time employees spend correcting records.<\/p>\n

      That is only the visible part.<\/p>\n

      The larger cost appears through missed opportunities, unreliable forecasts, inefficient sales operations, poor customer experiences, ineffective marketing, broken automation, and unreliable AI outputs.<\/strong><\/p>\n

      This changes how organisations should think about CRM.<\/p>\n

      A CRM should not be treated simply as a system for storing customer information. It is increasingly a customer intelligence layer<\/strong> connecting revenue teams, operational systems, analytics, automation, and AI.<\/p>\n

      When the data inside that layer becomes unreliable, every capability built on top of it becomes less reliable.<\/p>\n

      For enterprises investing in CRM transformation, the priority should therefore extend beyond implementing new functionality.<\/p>\n

      Clean customer data is not housekeeping. It is infrastructure for revenue, customer experience, and AI-driven decision-making.<\/strong><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

      A CRM can contain millions of customer records and still fail at the one thing the business needs most: telling teams what is actually happening with customers. Duplicate accounts, outdated contact details, incomplete fields, inconsistent naming conventions, disconnected interaction histories, and incorrectly assigned ownership may look like minor data-quality issues. At enterprise scale, they become […]<\/p>\n","protected":false},"author":2,"featured_media":6775,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8012","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-others"],"yoast_head":"\nThe Hidden Cost of Poor CRM Data Hygiene - Software Development Company Dubai UAE - Verbat Technologies<\/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.verbat.com\/blog\/8012-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Hidden Cost of Poor CRM Data Hygiene - Software Development Company Dubai UAE - Verbat Technologies\" \/>\n<meta property=\"og:description\" content=\"A CRM can contain millions of customer records and still fail at the one thing the business needs most: telling teams what is actually happening with customers. Duplicate accounts, outdated contact details, incomplete fields, inconsistent naming conventions, disconnected interaction histories, and incorrectly assigned ownership may look like minor data-quality issues. At enterprise scale, they become […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.verbat.com\/blog\/8012-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Software Development Company Dubai UAE - Verbat Technologies\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/verbatltd\" \/>\n<meta property=\"article:published_time\" content=\"2026-09-22T08:59:26+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-07T09:00:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"verbat\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@verbatltd\" \/>\n<meta name=\"twitter:site\" content=\"@verbatltd\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"verbat\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/\"},\"author\":{\"name\":\"verbat\",\"@id\":\"https:\/\/www.verbat.com\/blog\/#\/schema\/person\/499ab63e49a3c707d87c789f2b5da47c\"},\"headline\":\"The Hidden Cost of Poor CRM Data Hygiene\",\"datePublished\":\"2026-09-22T08:59:26+00:00\",\"dateModified\":\"2026-10-07T09:00:37+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/\"},\"wordCount\":1452,\"publisher\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg\",\"articleSection\":[\"Others\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/\",\"url\":\"https:\/\/www.verbat.com\/blog\/8012-2\/\",\"name\":\"The Hidden Cost of Poor CRM Data Hygiene - Software Development Company Dubai UAE - Verbat Technologies\",\"isPartOf\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg\",\"datePublished\":\"2026-09-22T08:59:26+00:00\",\"dateModified\":\"2026-10-07T09:00:37+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.verbat.com\/blog\/8012-2\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/#primaryimage\",\"url\":\"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg\",\"contentUrl\":\"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg\",\"width\":1000,\"height\":667},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.verbat.com\/blog\/8012-2\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.verbat.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"The Hidden Cost of Poor CRM Data Hygiene\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.verbat.com\/blog\/#website\",\"url\":\"https:\/\/www.verbat.com\/blog\/\",\"name\":\"Verbat Technologies\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.verbat.com\/blog\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.verbat.com\/blog\/#organization\",\"name\":\"Verbat Technologies\",\"url\":\"https:\/\/www.verbat.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.verbat.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2024\/04\/verbatltd_logo.jpg\",\"contentUrl\":\"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2024\/04\/verbatltd_logo.jpg\",\"width\":200,\"height\":200,\"caption\":\"Verbat Technologies\"},\"image\":{\"@id\":\"https:\/\/www.verbat.com\/blog\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/verbatltd\",\"https:\/\/x.com\/verbatltd\",\"https:\/\/www.linkedin.com\/company\/verbatltd\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.verbat.com\/blog\/#\/schema\/person\/499ab63e49a3c707d87c789f2b5da47c\",\"name\":\"verbat\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.verbat.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/39ad783fe218256f66846525c53ed98353138a71d12efd33428ad7f2a1553b3b?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/39ad783fe218256f66846525c53ed98353138a71d12efd33428ad7f2a1553b3b?s=96&d=mm&r=g\",\"caption\":\"verbat\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"The Hidden Cost of Poor CRM Data Hygiene - Software Development Company Dubai UAE - Verbat Technologies","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.verbat.com\/blog\/8012-2\/","og_locale":"en_US","og_type":"article","og_title":"The Hidden Cost of Poor CRM Data Hygiene - Software Development Company Dubai UAE - Verbat Technologies","og_description":"A CRM can contain millions of customer records and still fail at the one thing the business needs most: telling teams what is actually happening with customers. Duplicate accounts, outdated contact details, incomplete fields, inconsistent naming conventions, disconnected interaction histories, and incorrectly assigned ownership may look like minor data-quality issues. At enterprise scale, they become […]","og_url":"https:\/\/www.verbat.com\/blog\/8012-2\/","og_site_name":"Software Development Company Dubai UAE - Verbat Technologies","article_publisher":"https:\/\/www.facebook.com\/verbatltd","article_published_time":"2026-09-22T08:59:26+00:00","article_modified_time":"2026-10-07T09:00:37+00:00","og_image":[{"width":1000,"height":667,"url":"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg","type":"image\/jpeg"}],"author":"verbat","twitter_card":"summary_large_image","twitter_creator":"@verbatltd","twitter_site":"@verbatltd","twitter_misc":{"Written by":"verbat","Est. reading time":"7 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.verbat.com\/blog\/8012-2\/#article","isPartOf":{"@id":"https:\/\/www.verbat.com\/blog\/8012-2\/"},"author":{"name":"verbat","@id":"https:\/\/www.verbat.com\/blog\/#\/schema\/person\/499ab63e49a3c707d87c789f2b5da47c"},"headline":"The Hidden Cost of Poor CRM Data Hygiene","datePublished":"2026-09-22T08:59:26+00:00","dateModified":"2026-10-07T09:00:37+00:00","mainEntityOfPage":{"@id":"https:\/\/www.verbat.com\/blog\/8012-2\/"},"wordCount":1452,"publisher":{"@id":"https:\/\/www.verbat.com\/blog\/#organization"},"image":{"@id":"https:\/\/www.verbat.com\/blog\/8012-2\/#primaryimage"},"thumbnailUrl":"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg","articleSection":["Others"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.verbat.com\/blog\/8012-2\/","url":"https:\/\/www.verbat.com\/blog\/8012-2\/","name":"The Hidden Cost of Poor CRM Data Hygiene - Software Development Company Dubai UAE - Verbat Technologies","isPartOf":{"@id":"https:\/\/www.verbat.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.verbat.com\/blog\/8012-2\/#primaryimage"},"image":{"@id":"https:\/\/www.verbat.com\/blog\/8012-2\/#primaryimage"},"thumbnailUrl":"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg","datePublished":"2026-09-22T08:59:26+00:00","dateModified":"2026-10-07T09:00:37+00:00","breadcrumb":{"@id":"https:\/\/www.verbat.com\/blog\/8012-2\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.verbat.com\/blog\/8012-2\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.verbat.com\/blog\/8012-2\/#primaryimage","url":"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg","contentUrl":"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2025\/02\/18697.jpg","width":1000,"height":667},{"@type":"BreadcrumbList","@id":"https:\/\/www.verbat.com\/blog\/8012-2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.verbat.com\/blog\/"},{"@type":"ListItem","position":2,"name":"The Hidden Cost of Poor CRM Data Hygiene"}]},{"@type":"WebSite","@id":"https:\/\/www.verbat.com\/blog\/#website","url":"https:\/\/www.verbat.com\/blog\/","name":"Verbat Technologies","description":"","publisher":{"@id":"https:\/\/www.verbat.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.verbat.com\/blog\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.verbat.com\/blog\/#organization","name":"Verbat Technologies","url":"https:\/\/www.verbat.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.verbat.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2024\/04\/verbatltd_logo.jpg","contentUrl":"https:\/\/www.verbat.com\/blog\/wp-content\/uploads\/2024\/04\/verbatltd_logo.jpg","width":200,"height":200,"caption":"Verbat Technologies"},"image":{"@id":"https:\/\/www.verbat.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/verbatltd","https:\/\/x.com\/verbatltd","https:\/\/www.linkedin.com\/company\/verbatltd"]},{"@type":"Person","@id":"https:\/\/www.verbat.com\/blog\/#\/schema\/person\/499ab63e49a3c707d87c789f2b5da47c","name":"verbat","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.verbat.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/39ad783fe218256f66846525c53ed98353138a71d12efd33428ad7f2a1553b3b?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/39ad783fe218256f66846525c53ed98353138a71d12efd33428ad7f2a1553b3b?s=96&d=mm&r=g","caption":"verbat"}}]}},"_links":{"self":[{"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/posts\/8012","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/comments?post=8012"}],"version-history":[{"count":2,"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/posts\/8012\/revisions"}],"predecessor-version":[{"id":8014,"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/posts\/8012\/revisions\/8014"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/media\/6775"}],"wp:attachment":[{"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/media?parent=8012"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/categories?post=8012"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.verbat.com\/blog\/wp-json\/wp\/v2\/tags?post=8012"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}