{"id":132,"date":"2026-09-10T12:50:22","date_gmt":"2026-09-10T12:50:22","guid":{"rendered":"https:\/\/globaldataentrysolutions.com\/blogs\/?p=132"},"modified":"2026-09-10T12:51:18","modified_gmt":"2026-09-10T12:51:18","slug":"more-research-results-do-not-automatically-mean-better-prospect-data","status":"publish","type":"post","link":"https:\/\/globaldataentrysolutions.com\/blogs\/more-research-results-do-not-automatically-mean-better-prospect-data\/","title":{"rendered":"More Research Results Do Not Automatically Mean Better Prospect Data"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"132\" class=\"elementor elementor-132\">\n\t\t\t\t<div class=\"elementor-element elementor-element-320ac39 e-con-full e-flex e-con e-parent\" data-id=\"320ac39\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-da1d03e elementor-widget elementor-widget-html\" data-id=\"da1d03e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t\t<article class=\"gdes-blog-article\">\r\n\r\n<style>\r\n.gdes-blog-article{\r\n  max-width:920px;\r\n  margin:0 auto;\r\n  font-family:\"Open Sans\",Arial,sans-serif;\r\n  color:#344454;\r\n  font-size:17px;\r\n  line-height:1.8;\r\n}\r\n.gdes-blog-article h2{\r\n  color:#203248;\r\n  font-size:30px;\r\n  line-height:1.3;\r\n  margin:48px 0 18px;\r\n  font-weight:700;\r\n}\r\n.gdes-blog-article h3{\r\n  color:#203248;\r\n  font-size:22px;\r\n  margin:32px 0 12px;\r\n  font-weight:700;\r\n}\r\n.gdes-blog-article p{margin:0 0 20px}\r\n.gdes-blog-article a{\r\n  color:#168cc2;\r\n  font-weight:600;\r\n  text-decoration:none;\r\n}\r\n.gdes-blog-article a:hover{text-decoration:underline}\r\n.gdes-blog-intro{\r\n  font-size:19px;\r\n  color:#526474;\r\n}\r\n.gdes-blog-highlight{\r\n  background:#f4f8fb;\r\n  border-left:4px solid #27aae1;\r\n  padding:24px 28px;\r\n  margin:30px 0;\r\n  border-radius:4px;\r\n}\r\n.gdes-blog-list{\r\n  padding-left:22px;\r\n  margin:15px 0 26px;\r\n}\r\n.gdes-blog-list li{margin-bottom:10px}\r\n.gdes-blog-process{\r\n  background:#f6f8fa;\r\n  border:1px solid #e3e9ee;\r\n  border-radius:7px;\r\n  padding:28px;\r\n  margin:30px 0;\r\n}\r\n.gdes-blog-process-step{\r\n  padding:14px 0;\r\n  border-bottom:1px solid #dfe5ea;\r\n}\r\n.gdes-blog-process-step:last-child{border-bottom:none}\r\n.gdes-blog-process-step strong{color:#203248}\r\n.gdes-blog-table-wrap{\r\n  overflow-x:auto;\r\n  margin:30px 0;\r\n}\r\n.gdes-blog-table{\r\n  width:100%;\r\n  border-collapse:collapse;\r\n  font-size:15px;\r\n}\r\n.gdes-blog-table th{\r\n  background:#203248;\r\n  color:#fff;\r\n  text-align:left;\r\n  padding:14px;\r\n}\r\n.gdes-blog-table td{\r\n  border:1px solid #dde4e9;\r\n  padding:14px;\r\n  vertical-align:top;\r\n}\r\n.gdes-blog-faq{\r\n  border:1px solid #e1e7eb;\r\n  border-radius:6px;\r\n  padding:22px 25px;\r\n  margin-bottom:16px;\r\n}\r\n.gdes-blog-faq h3{\r\n  margin:0 0 10px;\r\n  font-size:19px;\r\n}\r\n.gdes-blog-faq p{margin:0}\r\n.gdes-blog-cta{\r\n  background:#203248;\r\n  padding:38px 32px;\r\n  margin:45px 0 10px;\r\n  border-radius:7px;\r\n  color:#fff;\r\n  text-align:center;\r\n}\r\n.gdes-blog-cta h2{\r\n  color:#fff;\r\n  margin:0 0 15px;\r\n}\r\n.gdes-blog-cta p{\r\n  color:#dbe4ec;\r\n  max-width:720px;\r\n  margin:0 auto 22px;\r\n}\r\n.gdes-blog-btn{\r\n  display:inline-block;\r\n  background:#f7941d;\r\n  color:#fff!important;\r\n  padding:12px 24px;\r\n  border-radius:4px;\r\n  font-weight:700!important;\r\n}\r\n@media(max-width:767px){\r\n  .gdes-blog-article{font-size:16px}\r\n  .gdes-blog-article h2{font-size:25px}\r\n  .gdes-blog-article h3{font-size:20px}\r\n}\r\n<\/style>\r\n\r\n<p class=\"gdes-blog-intro\">\r\nA prospect list can contain thousands of companies and contacts and still be a weak foundation for B2B outreach.\r\n<\/p>\r\n\r\n<p>\r\nList size tells you how many records were collected. It does not automatically tell you whether those records match the target market, contain the right decision-makers, come from reliable public sources, or are free from duplication and stale information.\r\n<\/p>\r\n\r\n<p>\r\nBetter prospect research focuses on relevance and verifiability before volume.\r\n<\/p>\r\n\r\n<h2>More Records Do Not Automatically Mean More Opportunities<\/h2>\r\n\r\n<p>\r\nA large research output can look impressive, but the real value depends on whether the records fit the campaign criteria.\r\n<\/p>\r\n\r\n<p>\r\nA useful prospect dataset should help answer:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Is this company in the target market?<\/li>\r\n<li>Does it operate in the required geography?<\/li>\r\n<li>Does it match the defined industry or business type?<\/li>\r\n<li>Is the researched contact relevant to the intended role?<\/li>\r\n<li>Can the information be traced to an approved public source?<\/li>\r\n<li>Has duplicate or conflicting information been reviewed?<\/li>\r\n<\/ul>\r\n\r\n<div class=\"gdes-blog-highlight\">\r\n<strong>A smaller verified prospect list can be more useful than a larger list built without clear qualification rules.<\/strong>\r\n<\/div>\r\n\r\n<h2>1. Define the Ideal Research Criteria First<\/h2>\r\n\r\n<p>\r\nProspect research should begin with a clear target definition.\r\n<\/p>\r\n\r\n<p>\r\nCriteria may include:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Country or region<\/li>\r\n<li>State, county or city<\/li>\r\n<li>Industry<\/li>\r\n<li>Company type<\/li>\r\n<li>Business size range where publicly supportable<\/li>\r\n<li>Relevant department<\/li>\r\n<li>Target job function<\/li>\r\n<li>Public business contact fields<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nWithout this definition, researchers may collect technically valid records that are not useful for the campaign.\r\n<\/p>\r\n\r\n<h2>2. Separate Company Qualification From Contact Research<\/h2>\r\n\r\n<p>\r\nA company can fit the market while the researched contact does not fit the intended role.\r\n<\/p>\r\n\r\n<p>\r\nA stronger workflow separates:\r\n<\/p>\r\n\r\n<div class=\"gdes-blog-process\">\r\n\r\n<div class=\"gdes-blog-process-step\">\r\n<strong>Company Qualification<\/strong><br>\r\nConfirm that the business fits the agreed geography, industry and target criteria.\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-process-step\">\r\n<strong>Role Identification<\/strong><br>\r\nIdentify the department or function relevant to the campaign.\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-process-step\">\r\n<strong>Public Contact Research<\/strong><br>\r\nCapture only the approved public business information required by the project.\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-process-step\">\r\n<strong>Source Verification<\/strong><br>\r\nPreserve the source used to support the record.\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-process-step\">\r\n<strong>Exception Review<\/strong><br>\r\nFlag missing, conflicting or unclear information.\r\n<\/div>\r\n\r\n<\/div>\r\n\r\n<h2>3. Role Relevance Matters More Than Name Volume<\/h2>\r\n\r\n<p>\r\nFinding more names inside a company does not necessarily improve the prospect list.\r\n<\/p>\r\n\r\n<p>\r\nThe research should focus on client-defined business functions, such as:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Operations<\/li>\r\n<li>Finance<\/li>\r\n<li>Revenue cycle<\/li>\r\n<li>Procurement<\/li>\r\n<li>Data management<\/li>\r\n<li>Administration<\/li>\r\n<li>Business development<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nThe appropriate function depends on the service being marketed.\r\n<\/p>\r\n\r\n<div class=\"gdes-blog-highlight\">\r\n<strong>The objective is not to collect everyone at the company. It is to identify the relevant business role within the approved research scope.<\/strong>\r\n<\/div>\r\n\r\n<h2>4. Use Public Sources That Support the Record<\/h2>\r\n\r\n<p>\r\nProspect research should rely on approved public sources and preserve enough evidence to review important fields later.\r\n<\/p>\r\n\r\n<p>\r\nPotential sources can include:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Official company websites<\/li>\r\n<li>Public company team pages<\/li>\r\n<li>Public professional profiles<\/li>\r\n<li>Public business directories<\/li>\r\n<li>Public association directories<\/li>\r\n<li>Public corporate information<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nFor a deeper explanation, see our guide on\r\n<a href=\"\/blogs\/web-research-data-verification-source-traceability\/\">web research data verification<\/a>.\r\n<\/p>\r\n\r\n<h2>5. LinkedIn Research Should Still Follow Defined Criteria<\/h2>\r\n\r\n<p>\r\nPublic professional information can help identify business roles and company associations, but researchers still need clear rules.\r\n<\/p>\r\n\r\n<p>\r\nUseful fields may include:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Person name<\/li>\r\n<li>Current company<\/li>\r\n<li>Current business role<\/li>\r\n<li>Public profile reference<\/li>\r\n<li>Company website<\/li>\r\n<li>Research status<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nOur\r\n<a href=\"\/linkedin-data-research\/\">LinkedIn data research services<\/a>\r\nfocus on structured public professional research within client-defined scope.\r\n<\/p>\r\n\r\n<h2>6. Company Research Should Confirm the Organization First<\/h2>\r\n\r\n<p>\r\nBefore adding a contact, the workflow should confirm that the company itself is the correct entity.\r\n<\/p>\r\n\r\n<p>\r\nPotential checks include:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Official website<\/li>\r\n<li>Business name<\/li>\r\n<li>Location<\/li>\r\n<li>Relevant business activity<\/li>\r\n<li>Public company information<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nThis can reduce records where a contact appears relevant but belongs to the wrong company or location.\r\n<\/p>\r\n\r\n<p>\r\nSee our\r\n<a href=\"\/company-business-research\/\">company and business research services<\/a>.\r\n<\/p>\r\n\r\n<h2>7. Duplicate Prospects Can Distort List Size<\/h2>\r\n\r\n<p>\r\nA dataset may appear larger because the same company or person is represented more than once.\r\n<\/p>\r\n\r\n<p>\r\nDuplicates may arise from:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Different company-name formats<\/li>\r\n<li>Multiple location records<\/li>\r\n<li>Repeated research batches<\/li>\r\n<li>Spelling differences<\/li>\r\n<li>Old and current records<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nA controlled workflow should review exact and near-duplicate records before treating them as unique prospects.\r\n<\/p>\r\n\r\n<p>\r\nSee:\r\n<a href=\"\/blogs\/duplicate-record-matching-data-quality-workflow\/\">Duplicate Records Are Not Always Exact Copies<\/a>.\r\n<\/p>\r\n\r\n<h2>8. A Public Email Is Not Automatically the Right Email<\/h2>\r\n\r\n<p>\r\nA business email may be publicly visible but still be irrelevant to the campaign.\r\n<\/p>\r\n\r\n<p>\r\nFor example, it could be:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>A general support inbox<\/li>\r\n<li>A careers address<\/li>\r\n<li>A press contact<\/li>\r\n<li>An unrelated department<\/li>\r\n<li>An outdated public contact<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nEmail research should therefore follow the required role and source criteria rather than simply filling the field.\r\n<\/p>\r\n\r\n<p>\r\nRelated services include\r\n<a href=\"\/email-verification\/\">email verification<\/a>\r\nand\r\n<a href=\"\/email-name-and-address-research\/\">email, name and address research<\/a>.\r\n<\/p>\r\n\r\n<h2>9. Missing Data Should Not Be Guessed<\/h2>\r\n\r\n<p>\r\nNot every company will expose every desired field publicly.\r\n<\/p>\r\n\r\n<p>\r\nA controlled research output should distinguish:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Verified<\/li>\r\n<li>Not Found<\/li>\r\n<li>Conflict<\/li>\r\n<li>Review Required<\/li>\r\n<li>Out of Scope<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nThis is better than inventing a value or leaving unexplained blanks.\r\n<\/p>\r\n\r\n<h2>10. Separate Research From Outreach<\/h2>\r\n\r\n<p>\r\nProspect research and outreach are different workflow stages.\r\n<\/p>\r\n\r\n<p>\r\nResearch should focus on building a structured, relevant and reviewable dataset.\r\n<\/p>\r\n\r\n<p>\r\nIt should not automatically imply:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Mass automated messaging<\/li>\r\n<li>Unrestricted scraping<\/li>\r\n<li>Contacting every discovered person<\/li>\r\n<li>Bypassing platform restrictions<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nA controlled handoff allows the marketing or sales team to decide how the researched dataset will be used.\r\n<\/p>\r\n\r\n<h2>11. Capture Source References for Important Fields<\/h2>\r\n\r\n<p>\r\nA source reference can help explain:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Where the company information came from<\/li>\r\n<li>Where the business role was identified<\/li>\r\n<li>When the information was reviewed<\/li>\r\n<li>Why a record was accepted or flagged<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nThis follows the broader principle of\r\n<a href=\"\/blogs\/data-traceability-source-validation-workflow\/\">source-to-record traceability<\/a>.\r\n<\/p>\r\n\r\n<h2>12. Geography Should Be Verified at the Correct Level<\/h2>\r\n\r\n<p>\r\nGeographic targeting can be more complicated than a company simply appearing in a search for a particular state or city.\r\n<\/p>\r\n\r\n<p>\r\nThe business may have:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Headquarters in one location<\/li>\r\n<li>Branches in multiple states<\/li>\r\n<li>A mailing address elsewhere<\/li>\r\n<li>A service area that differs from its office location<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nThe workflow should define which location type matters for the campaign.\r\n<\/p>\r\n\r\n<p>\r\nOur\r\n<a href=\"\/address-verification\/\">address verification services<\/a>\r\nsupport public-source business location review.\r\n<\/p>\r\n\r\n<h2>13. Prospect Research Needs Clear Qualification Statuses<\/h2>\r\n\r\n<div class=\"gdes-blog-table-wrap\">\r\n<table class=\"gdes-blog-table\">\r\n<thead>\r\n<tr>\r\n<th>Status<\/th>\r\n<th>Meaning<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Qualified<\/td>\r\n<td>Company and required role fit the defined research criteria<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Partially Verified<\/td>\r\n<td>Some required fields are supported but others remain unresolved<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Not a Fit<\/td>\r\n<td>Company does not meet the agreed targeting criteria<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Duplicate<\/td>\r\n<td>Record already exists in the research population<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>Review Required<\/td>\r\n<td>Available public information is conflicting or unclear<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n\r\n<h2>14. Research Quality Should Be Measured Beyond Record Count<\/h2>\r\n\r\n<p>\r\nInstead of looking only at how many records were delivered, management may also review:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Records matching target criteria<\/li>\r\n<li>Verified companies<\/li>\r\n<li>Relevant business roles identified<\/li>\r\n<li>Duplicates removed or flagged<\/li>\r\n<li>Records with source references<\/li>\r\n<li>Not-found cases<\/li>\r\n<li>Conflicting records requiring review<\/li>\r\n<\/ul>\r\n\r\n<div class=\"gdes-blog-highlight\">\r\n<strong>Volume explains how much research was done. Quality controls explain how useful the research is likely to be.<\/strong>\r\n<\/div>\r\n\r\n<h2>15. Reconcile the Full Research Population<\/h2>\r\n\r\n<p>\r\nA research project should explain what happened to the entire source list.\r\n<\/p>\r\n\r\n<p>\r\nFor example:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Records received<\/li>\r\n<li>Qualified<\/li>\r\n<li>Not a fit<\/li>\r\n<li>Duplicates<\/li>\r\n<li>Not found<\/li>\r\n<li>Review required<\/li>\r\n<li>Completed<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nThis connects prospect research with the same\r\n<a href=\"\/blogs\/data-reconciliation-workload-control\/\">workload reconciliation principles<\/a>\r\nused in broader data-processing operations.\r\n<\/p>\r\n\r\n<h2>Prospect Volume vs Prospect Quality<\/h2>\r\n\r\n<div class=\"gdes-blog-table-wrap\">\r\n<table class=\"gdes-blog-table\">\r\n<thead>\r\n<tr>\r\n<th>Volume-Focused Research<\/th>\r\n<th>Controlled Prospect Research<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr>\r\n<td>Maximizes number of records<\/td>\r\n<td>Prioritizes target relevance<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>May collect broad contact lists<\/td>\r\n<td>Uses defined business-role criteria<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>May treat similar records as unique<\/td>\r\n<td>Reviews duplicates and near-matches<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>May omit source evidence<\/td>\r\n<td>Preserves public-source references<\/td>\r\n<\/tr>\r\n<tr>\r\n<td>May hide uncertainty<\/td>\r\n<td>Uses clear exception statuses<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n<\/div>\r\n\r\n<h2>How Outsourced B2B Research Can Support Prospect Data Preparation<\/h2>\r\n\r\n<p>\r\nLarge prospect-research requirements can involve substantial repetitive company and public-contact review.\r\n<\/p>\r\n\r\n<p>\r\nA structured outsourcing workflow can support:\r\n<\/p>\r\n\r\n<ul class=\"gdes-blog-list\">\r\n<li>Company qualification research<\/li>\r\n<li>Public business-role identification<\/li>\r\n<li>Public contact research<\/li>\r\n<li>Geographic verification<\/li>\r\n<li>Source URL capture<\/li>\r\n<li>Duplicate review<\/li>\r\n<li>Exception flagging<\/li>\r\n<li>Research-status reporting<\/li>\r\n<\/ul>\r\n\r\n<p>\r\nGlobal Data Entry Solutions provides\r\n<a href=\"\/leads-contacts-research\/\">leads and contacts research services<\/a>\r\nalong with\r\n<a href=\"\/web-research\/\">web research services<\/a>\r\nfor legitimate B2B public-source research based on client-defined criteria.\r\n<\/p>\r\n\r\n<h2>Frequently Asked Questions<\/h2>\r\n\r\n<div class=\"gdes-blog-faq\">\r\n<h3>What is B2B prospect research?<\/h3>\r\n<p>\r\nB2B prospect research is the structured process of identifying companies and relevant public business information that match client-defined targeting criteria.\r\n<\/p>\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-faq\">\r\n<h3>Is a larger prospect list always better?<\/h3>\r\n<p>\r\nNo. A larger list may contain irrelevant companies, duplicate records, outdated information or contacts that do not match the intended business role.\r\n<\/p>\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-faq\">\r\n<h3>Why should prospect records include source references?<\/h3>\r\n<p>\r\nSource references make it easier to verify where the researched information came from and review conflicting or changing data later.\r\n<\/p>\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-faq\">\r\n<h3>How should missing prospect information be handled?<\/h3>\r\n<p>\r\nIf the required information cannot be supported by an approved public source, the record should use an appropriate status such as Not Found or Review Required rather than a guessed value.\r\n<\/p>\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-faq\">\r\n<h3>Is prospect research the same as outreach?<\/h3>\r\n<p>\r\nNo. Research prepares and validates the prospect dataset. Outreach is a separate sales or marketing activity that determines how approved records are contacted.\r\n<\/p>\r\n<\/div>\r\n\r\n<h2>Final Thought: Better Prospect Data Starts With Better Qualification<\/h2>\r\n\r\n<p>\r\nThe goal of prospect research should not be to create the largest possible spreadsheet.\r\n<\/p>\r\n\r\n<p>\r\nIt should be to create a structured dataset where companies fit the defined market, business roles are relevant, public sources support the information and uncertainty remains visible.\r\n<\/p>\r\n\r\n<div class=\"gdes-blog-highlight\">\r\n<strong>More prospects do not automatically create more opportunities. Better-qualified and better-verified prospect data creates a stronger starting point for the sales process.<\/strong>\r\n<\/div>\r\n\r\n<div class=\"gdes-blog-cta\">\r\n<h2>Need Structured B2B Prospect Research?<\/h2>\r\n<p>\r\nGlobal Data Entry Solutions supports company, lead, contact and public-source web research using client-defined targeting, verification, source and review criteria.\r\n<\/p>\r\n<a class=\"gdes-blog-btn\" href=\"\/contact-us\/\">Discuss Your Requirement<\/a>\r\n<\/div>\r\n\r\n<\/article>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>More prospect records do not automatically mean better sales data. 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