{"id":800,"date":"2026-03-26T12:58:32","date_gmt":"2026-03-26T12:58:32","guid":{"rendered":"https:\/\/blog.predictleads.com\/?p=800"},"modified":"2026-10-21T17:31:31","modified_gmt":"2026-10-21T17:31:31","slug":"real-time-company-intelligence-case-study","status":"publish","type":"post","link":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/","title":{"rendered":"How a B2B Data Company Used PredictLeads News Events (October 2026)"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Company profiles are only valuable if they reflect what is happening now. However, most platforms still rely on static data. This case study shows how a leading European B2B data platform turned static profiles into real-time company intelligence using PredictLeads News Events.<\/p>\n<p class=\"wp-block-paragraph\">Their company profiles already contained solid core data, but they lacked one critical layer: <strong>real-time context<\/strong>. Users could understand what a company is, but not what it is doing now.<\/p>\n<p class=\"wp-block-paragraph\">As a result, the company integrated the <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/news_events\"><strong>PredictLeads News Events Dataset<\/strong><\/a> to turn static company records into current, insight-rich profiles.<\/p>\n<p class=\"wp-block-paragraph\"><em>The company chose to remain anonymous, but approved sharing this use case and its results.<\/em><\/p>\n<p><strong>TLDR:<\/strong><\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\">Static company profiles lose value the moment users open them, because they show what a company is, not what it is doing now.<\/li>\n<li class=\"list-item\">Building a news intelligence layer internally requires crawling sources, deduplication, entity mapping, and language analysis systems. All of that work pulls focus from your core product.<\/li>\n<li class=\"list-item\">Pre-structured, deduplicated data linked to company domains cuts integration time and reduces engineering overhead for product teams.<\/li>\n<li class=\"list-item\"><a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/news_events\">PredictLeads News Events<\/a> covers 9 million+ structured events across 2.4 million+ companies in 195 countries, sorted into 37 event categories.<\/li>\n<\/ul>\n<p>Real-time news events add current context to company profiles, such as funding rounds and recent developments<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">The Challenge of Static Data vs Real-Time Company Intelligence<\/h3>\n<h4 class=\"wp-block-heading\">What Real-Time Company Intelligence Looks Like in Practice<\/h4>\n<p class=\"wp-block-paragraph\">The team had already built strong company profiles. However, those profiles were outdated the moment users opened them.<\/p>\n<p class=\"wp-block-paragraph\">Users could not quickly answer questions such as:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\">Has this company recently raised funding?<\/li>\n<li class=\"list-item\">Is it expanding into new markets?<\/li>\n<li class=\"list-item\">Did it launch a product?<\/li>\n<li class=\"list-item\">Has it signed a major partnership?<\/li>\n<li class=\"list-item\">Is leadership changing?<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">Without that context, users had to do manual research across articles, PR sites, and company announcements. That slowed workflows and reduced the value of the product.<\/p>\n<p class=\"wp-block-paragraph\">As the customer put it:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201cPredictLeads helps us turn static company profiles into current ones by adding real-time context on what\u2019s happening within a company.\u201d<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">You can also see how structured signals work in <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/2026\/01\/28\/how-to-identify-companies-expanding-into-new-markets-using-structured-news-events-data\">Identifying Companies Expanding Into New Markets<\/a>.<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">The Alternative: Build Internally<\/h3>\n<p class=\"wp-block-paragraph\">The team considered building a <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/what-is-news-dataset\/\">news intelligence layer<\/a> themselves.<\/p>\n<p class=\"wp-block-paragraph\">However, that would have required much more than adding a simple feature. It meant building an entirely new product capability:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\">crawling millions of global news, blog, and PR sources<\/li>\n<li class=\"list-item\">handling duplicates across publishers<\/li>\n<li class=\"list-item\">dealing with paywalled content<\/li>\n<li class=\"list-item\">extracting company signals from unstructured text<\/li>\n<li class=\"list-item\">building machine learning models for categorization and entity matching<\/li>\n<li class=\"list-item\">maintaining and scaling the infrastructure long term<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">In other words, collecting articles was only the first step. The harder part was turning raw content into <strong>reliable, structured company signals<\/strong>.<\/p>\n<p class=\"wp-block-paragraph\">Maintenance is the long-term cost of building. A <a target=\"_blank\" rel=\"nofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/www.fivetran.com\/blog\/build-vs-buy-data-pipelines-costs-to-consider\">build vs. buy cost guide<\/a> cites research showing data teams spend 53% of engineering time maintaining pipelines, and a <a target=\"_blank\" rel=\"nofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/www.rudderstack.com\/blog\/build-vs-buy-data-pipeline\/\">build vs. buy data pipeline guide<\/a> notes that teams who build own all fixes, upgrades, and API changes.<\/p>\n<p class=\"wp-block-paragraph\">As the team explained:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201cBuilding this internally would require setting up data pipelines, handling paywalled content, and developing text-analysis systems. It takes focus away from our core product.\u201d<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">Here is how the two paths compare on the work the team would have owned:<\/p>\n<table class=\"border-collapse table-fixed w-full max-w-full\" style=\"border-collapse: collapse; width: 100%; min-width: 150px\">\n<tbody>\n<tr class=\"\">\n<th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\">\n<p>Task<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\">\n<p>Build internally<\/p>\n<\/th>\n<th colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #f9fafb; color: #000000; padding: 12px; text-align: left; font-size: 14px\">\n<p>Use PredictLeads News Events<\/p>\n<\/th>\n<\/tr>\n<tr class=\"\">\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Source coverage<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Crawl millions of global news, blog, and PR sources<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Events sourced from 20+ million media sources<\/p>\n<\/td>\n<\/tr>\n<tr class=\"\">\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Duplicates<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Handle duplicates across publishers<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Deduplicated across sources<\/p>\n<\/td>\n<\/tr>\n<tr class=\"\">\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Categorization<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Extract and categorize company signals from unstructured text<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Categorized into 37 event types<\/p>\n<\/td>\n<\/tr>\n<tr class=\"\">\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Entity matching<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Map each event to the right company<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Mapped to company domains<\/p>\n<\/td>\n<\/tr>\n<tr class=\"\">\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Long-term upkeep<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Maintain and scale the infrastructure<\/p>\n<\/td>\n<td colspan=\"1\" rowspan=\"1\" style=\"border: 1px solid #d1d5db; background-color: #ffffff; color: #000000; padding: 12px; font-size: 14px\">\n<p>Delivered as a dataset (via S3 in this case study)<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">Why They Chose PredictLeads<\/h3>\n<p class=\"wp-block-paragraph\">Instead of building internally, the team reviewed outside data providers.<\/p>\n<p class=\"wp-block-paragraph\">Most options, including generic <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/company-news-data-vs-news-apis-what-gtm-teams-actually-need\/\">news APIs<\/a>, still required heavy processing on their side. They delivered raw or noisy news data, which meant the team would still need to handle normalization, filtering, categorization, and entity mapping.<\/p>\n<p class=\"wp-block-paragraph\">PredictLeads stood out because the <strong>News Events Dataset was already structured, categorized, deduplicated, and linked to company domains<\/strong>.<\/p>\n<p class=\"wp-block-paragraph\">That meant the team could integrate the data directly into production systems without building a separate news processing layer.<\/p>\n<p class=\"wp-block-paragraph\">As they put it:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201cThe biggest factor for us was how well the data is structured. With PredictLeads, we could integrate it quickly without additional processing.\u201d<\/p>\n<\/blockquote>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">The Solution<\/h3>\n<p class=\"wp-block-paragraph\">The company integrated the <strong>PredictLeads News Events Dataset<\/strong> into its infrastructure using <strong>S3 delivery<\/strong>.<\/p>\n<p class=\"wp-block-paragraph\">From there, the dataset flowed into internal pipelines and into the product experience itself.<\/p>\n<p class=\"wp-block-paragraph\">They used the data to:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\">enrich company profiles with recent company activity<\/li>\n<li class=\"list-item\">surface important events directly inside product views<\/li>\n<li class=\"list-item\">improve how users understand company momentum<\/li>\n<li class=\"list-item\">support filtering based on recent activity<\/li>\n<li class=\"list-item\">support alerts tied to company changes<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">Instead of showing only static attributes, the platform could now show whether a company had recently:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\">launched a product<\/li>\n<li class=\"list-item\">partnered with another company<\/li>\n<li class=\"list-item\">expanded offices<\/li>\n<li class=\"list-item\">hired leadership<\/li>\n<li class=\"list-item\">received financing<\/li>\n<li class=\"list-item\">gone public<\/li>\n<li class=\"list-item\">increased or decreased headcount<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">This changed the product from a reference database into a more dynamic intelligence layer.<\/p>\n<p class=\"wp-block-paragraph\">Want to see how AI agents use this dataset? Read our guide to <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/blog\/2025\/09\/11\/news-events-dataset-sales-intelligence-ai\">AI agents and News Events data<\/a>.<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">Why the News Events Dataset Worked<\/h3>\n<p class=\"wp-block-paragraph\">The value came from the structure of the dataset.<\/p>\n<p class=\"wp-block-paragraph\">PredictLeads News Events are built for product use, going beyond data collection. Each event is:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\"><strong>categorized<\/strong> into one of 37 event types<\/li>\n<li class=\"list-item\"><strong>deduplicated<\/strong> across sources<\/li>\n<li class=\"list-item\"><strong>mapped to company domains<\/strong><\/li>\n<li class=\"list-item\">delivered with source URLs and article context<\/li>\n<li class=\"list-item\">enriched with fields such as location, effective date, financing type, product, contact, and more<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">This removed major implementation friction.<\/p>\n<p class=\"wp-block-paragraph\">The customer pointed to two things in particular.<\/p>\n<p class=\"wp-block-paragraph\">First, <strong>deduplication<\/strong>:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201cDeduplication is critical for us. We don\u2019t want to show multiple entries describing the same event, especially in a user-facing product.\u201d<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">Second, <strong>company-domain linkage<\/strong>:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201cHaving events linked directly to company domains is extremely important. It makes entity mapping much faster and simplifies integration a great deal.\u201d<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">For a product team, those two points matter a lot. Cleaner data means less engineering overhead and a much better end-user experience.<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">What PredictLeads News Events Adds<\/h3>\n<p class=\"wp-block-paragraph\">The PredictLeads News Events Dataset includes structured signals such as:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\">acquisitions<\/li>\n<li class=\"list-item\">mergers<\/li>\n<li class=\"list-item\">product launches<\/li>\n<li class=\"list-item\">partnerships<\/li>\n<li class=\"list-item\">leadership changes<\/li>\n<li class=\"list-item\">financing events<\/li>\n<li class=\"list-item\">office expansions<\/li>\n<li class=\"list-item\">facility expansions<\/li>\n<li class=\"list-item\">new client signings<\/li>\n<li class=\"list-item\">recognition and awards<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">The dataset covers <strong>2.4 million+ companies globally<\/strong>, spans <strong>all 195 countries<\/strong>, and includes <strong>9 million+ structured news events<\/strong> detected since 2016, according to the <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/news_events\">News Events Dataset page<\/a>.<\/p>\n<p class=\"wp-block-paragraph\">Events are sourced from <strong>20+ million media sources<\/strong>, including blogs, PR sites, and news outlets. They are then processed with supervised machine learning, entity recognition, and relationship extraction to produce a high signal-to-noise dataset.<\/p>\n<p class=\"wp-block-paragraph\">That means teams can work with company activity data that is already organized and ready to use.<\/p>\n<h2 class=\"wp-block-heading\">Why Real-Time Company Signals Matter in 2026<\/h2>\n<p class=\"wp-block-paragraph\">Funding data from 2026 shows how fast company context changes. <a target=\"_blank\" rel=\"nofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/news.crunchbase.com\/venture\/q3-2026-global-startup-funding-ai-billion-dollar-rounds-exits-data\/\">Crunchbase data for Q3 2026<\/a> shows global venture funding of $159 billion across close to 6,000 startups, with a record 27 companies raising rounds of $1 billion or more.<\/p>\n<p class=\"wp-block-paragraph\">A round of that size can change a company&#8217;s hiring, product, and partnership plans quickly. A profile that shows only last year&#8217;s funding and headcount shows users the old company. News Events keep profiles current by adding financing, leadership, and expansion events as they are reported.<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<p>PredictLeads structures raw news into categorized, deduplicated, and actionable company intelligence<\/p>\n<h3 class=\"wp-block-heading\">Impact<\/h3>\n<p class=\"wp-block-paragraph\">By using PredictLeads, the team avoided building and maintaining a complex news intelligence pipeline internally.<\/p>\n<p class=\"wp-block-paragraph\">That reduced engineering effort and allowed them to ship faster.<\/p>\n<p class=\"wp-block-paragraph\">More importantly, it improved the product experience. Users could now see what had recently happened inside a company without leaving the platform or doing manual research.<\/p>\n<p class=\"wp-block-paragraph\">As a result, the team was able to:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\">launch faster<\/li>\n<li class=\"list-item\">reduce engineering costs<\/li>\n<li class=\"list-item\">improve the usefulness of company profiles<\/li>\n<li class=\"list-item\">increase the relevance of company intelligence inside the product<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">The customer summarized it clearly:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201cFor us, it\u2019s not about volume. We prefer high-quality, reliable signals that we can trust and use directly in our product.\u201d<\/p>\n<\/blockquote>\n<p class=\"wp-block-paragraph\">And in short:<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">\u201cGets the job done in a reliable manner: the coverage and quality are good.\u201d<\/p>\n<\/blockquote>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">The Real Outcome<\/h3>\n<p class=\"wp-block-paragraph\">The biggest benefit went beyond data enrichment.<\/p>\n<p class=\"wp-block-paragraph\">It was focus.<\/p>\n<p class=\"wp-block-paragraph\">Instead of spending time building infrastructure, the team stayed focused on improving the product itself.<\/p>\n<p class=\"wp-block-paragraph\">That is often the hidden cost of building this kind of capability in-house. The more time teams spend solving collection, cleaning, and text-analysis problems, the less time they spend building customer-facing value.<\/p>\n<p class=\"wp-block-paragraph\">With PredictLeads, they skipped that infrastructure burden and moved directly to product impact.<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">Who This Approach Is For<\/h3>\n<p class=\"wp-block-paragraph\">This use case is especially relevant for teams that:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\">build data or intelligence products<\/li>\n<li class=\"list-item\">maintain company profiles or account records<\/li>\n<li class=\"list-item\">need real-time company signals<\/li>\n<li class=\"list-item\">want to enrich product experiences with recent company activity<\/li>\n<li class=\"list-item\">do not want to build large-scale news ingestion pipelines internally<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">It is also a strong fit for the following product types. Each one uses News Events in a different way:<\/p>\n<ul class=\"list-disc pl-6\">\n<li class=\"list-item\"><strong>Sales enablement platforms:<\/strong> show hires, promotes, partners_with, and receives_financing events inside account views, so reps can open a conversation with a recent trigger.<\/li>\n<li class=\"list-item\"><strong>Market intelligence tools:<\/strong> track launches, partners_with, and expands_offices_in events across large company sets to monitor sectors and rivals.<\/li>\n<li class=\"list-item\"><strong>Investment research platforms:<\/strong> watch portfolio and target companies for receives_financing, goes_public, and increases_headcount_by events, with source URLs that let analysts verify each one.<\/li>\n<li class=\"list-item\"><strong>Account intelligence products:<\/strong> attach a recent-activity timeline to each account record by matching events to company domains.<\/li>\n<li class=\"list-item\"><strong>Competitive intelligence systems:<\/strong> follow identified_as_competitor_of, launches, and signs_new_client events to see where competitors are winning.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">If you build one of these products, you can pull News Events through the API, flat files, webhooks, or MCP. Use the API for real-time lookups, flat files for bulk loads, and webhooks for push alerts on followed companies.<\/p>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\">\n<h3 class=\"wp-block-heading\">About PredictLeads News Events<\/h3>\n<p class=\"wp-block-paragraph\">PredictLeads provides structured, deduplicated company news signals across millions of global sources.<\/p>\n<p class=\"wp-block-paragraph\">The dataset gives you the coverage, categories, and history described earlier in this case study.<\/p>\n<p class=\"wp-block-paragraph\">Each event belongs to a unique company domain and includes consistent structured fields for filtering, analysis, and integration.<\/p>\n<p class=\"wp-block-paragraph\">Interested in our <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/news_events\">News Events Dataset<\/a>? Feel free to let us know!<\/p>\n<p>PredictLeads gives teams real-time company data to act on, from funding to partnerships and beyond<\/p>\n<h2 class=\"wp-block-heading\">Frequently Asked Questions<\/h2>\n<h3 class=\"wp-block-heading\">How can I get real-time alerts when a company raises a new funding round?<\/h3>\n<p class=\"wp-block-paragraph\">Use a dataset that sends push notifications instead of periodic exports. PredictLeads delivers News Events through webhooks, which notify your system when a new event is found for a company you follow. Follow the companies you want to track, filter incoming events for the receives_financing category, and your system receives each round without polling the API. Each event includes a summary, the category, and the source URL so you can confirm the announcement. Webhooks are arranged through the PredictLeads sales team.<\/p>\n<h3 class=\"wp-block-heading\">How can I track which of my portfolio companies are showing signs of growth or distress?<\/h3>\n<p class=\"wp-block-paragraph\">Follow each portfolio company and watch its News Events categories. Growth signals include increases_headcount_by, expands_offices_in, receives_financing, and launches. Distress signals include decreases_headcount_by, closes_offices_in, declares_bankruptcy, and loses_client. Pair those events with Job Openings volume to see whether hiring is speeding up or slowing down. Every event links to a source URL, so an analyst can check the underlying article before acting.<\/p>\n<h3 class=\"wp-block-heading\">How many event types does the News Events Dataset cover?<\/h3>\n<p class=\"wp-block-paragraph\">The dataset sorts events into 37 distinct categories, including acquisitions, product launches, partnerships, leadership changes, and financing. The full list of <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/docs.predictleads.com\/guide\/news_events_dataset\/categories\">News Event categories in the documentation<\/a> shows every type.<\/p>\n<h3 class=\"wp-block-heading\">How do I receive News Events data?<\/h3>\n<p class=\"wp-block-paragraph\">You can use the API, flat files, webhooks, or MCP. The team in this case study received the dataset through S3 delivery, which fits teams that load data into their own pipelines.<\/p>\n<p>https:\/\/predictleads.com\/blog\/2025\/09\/11\/news-events-dataset-sales-intelligence-ai<\/p>\n<p>https:\/\/predictleads.com\/blog\/2026\/01\/07\/job-postings-as-alternative-data-why-hiring-activity-reveals-real-company-intent<\/p>\n<p>https:\/\/predictleads.com\/blog\/2025\/11\/18\/real-time-data-personalization-how-it-improves-cold-outreach<\/p>\n<h2 class=\"wp-block-heading\">Ready to see this in your own data?<\/h2>\n<p class=\"wp-block-paragraph\">Get 100 free API requests when you <a target=\"_blank\" rel=\"dofollow\" class=\"text-blue-500 underline cursor-pointer\" href=\"https:\/\/predictleads.com\/sign_up\">create an account<\/a> &#8211; no credit card, no sales call.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>See how a B2B data company turned static profiles into real-time company intelligence with PredictLeads News Events. Updated October 2026.<\/p>\n","protected":false},"author":8,"featured_media":2183,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[31],"tags":[99,100,34],"class_list":["post-800","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-study","tag-case-study","tag-news-events-dataset","tag-predictleads"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.8 (Yoast SEO v28.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Real-Time Company Intelligence Case Study (October 2026)<\/title>\n<meta name=\"description\" content=\"See how a B2B data company turned static profiles into real-time company intelligence with PredictLeads News Events. Updated October 2026.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How a B2B Data Company Used PredictLeads News Events (October 2026)\" \/>\n<meta property=\"og:description\" content=\"See how a B2B data company turned static profiles into real-time company intelligence with PredictLeads News Events. Updated October 2026.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/\" \/>\n<meta property=\"og:site_name\" content=\"PredictLeads\" \/>\n<meta property=\"article:published_time\" content=\"2026-03-26T12:58:32+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-10-21T17:31:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/generated-generated-image-1792603807069.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1536\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Robert Fon\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Robert Fon\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/\"},\"author\":{\"name\":\"Robert Fon\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#\\\/schema\\\/person\\\/5e71e16aecc9270b7e458092273b768a\"},\"headline\":\"How a B2B Data Company Used PredictLeads News Events (October 2026)\",\"datePublished\":\"2026-03-26T12:58:32+00:00\",\"dateModified\":\"2026-10-21T17:31:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/\"},\"wordCount\":2004,\"publisher\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/generated-generated-image-1792603807069.png\",\"keywords\":[\"Case Study\",\"News Events dataset\",\"PredictLeads\"],\"articleSection\":[\"Case Study\"],\"inLanguage\":\"en-US\",\"copyrightYear\":\"2026\",\"copyrightHolder\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/\",\"name\":\"Real-Time Company Intelligence Case Study (October 2026)\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/generated-generated-image-1792603807069.png\",\"datePublished\":\"2026-03-26T12:58:32+00:00\",\"dateModified\":\"2026-10-21T17:31:31+00:00\",\"description\":\"See how a B2B data company turned static profiles into real-time company intelligence with PredictLeads News Events. Updated October 2026.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#primaryimage\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/generated-generated-image-1792603807069.png\",\"contentUrl\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/10\\\/generated-generated-image-1792603807069.png\",\"width\":1536,\"height\":1024},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"How a B2B Data Company Used PredictLeads News Events (October 2026)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/\",\"name\":\"PredictLeads Blog\",\"description\":\"Company Intelligence Data\",\"publisher\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":[\"Organization\",\"Place\"],\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#organization\",\"name\":\"PredictLeads\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/\",\"logo\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#local-main-organization-logo\"},\"image\":{\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#local-main-organization-logo\"},\"sameAs\":[\"https:\\\/\\\/www.linkedin.com\\\/company\\\/predictleads\"],\"description\":\"PredictLeads is a B2B company intelligence provider that transforms observable business signals into structured, actionable data. It tracks companies globally across hiring activity, technology usage, news events, financing, customer and partner relationships, similar companies, and other company-level signals. The data is delivered through APIs, flat files, webhooks, and MCP, allowing organizations to integrate company intelligence directly into their products, research workflows, AI agents, and internal systems. PredictLeads serves investment firms, consulting teams, sales and marketing organizations, data platforms, and enterprises that use these signals for market research, lead generation, company monitoring, investment analysis, and strategic decision-making.\",\"legalName\":\"4see, Inc., dba PredictLeads\",\"foundingDate\":\"2015-02-26\",\"naics\":\"518210\",\"numberOfEmployees\":{\"@type\":\"QuantitativeValue\",\"minValue\":\"11\",\"maxValue\":\"50\"},\"telephone\":[],\"openingHoursSpecification\":[{\"@type\":\"OpeningHoursSpecification\",\"dayOfWeek\":[\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\",\"Sunday\"],\"opens\":\"09:00\",\"closes\":\"17:00\"}]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/#\\\/schema\\\/person\\\/5e71e16aecc9270b7e458092273b768a\",\"name\":\"Robert Fon\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g\",\"caption\":\"Robert Fon\"}},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/real-time-company-intelligence-case-study\\\/#local-main-organization-logo\",\"url\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2021\\\/09\\\/predict-leads-logo-color-2130x1200-cropped.png\",\"contentUrl\":\"https:\\\/\\\/predictleads.com\\\/blog\\\/wp-content\\\/uploads\\\/2021\\\/09\\\/predict-leads-logo-color-2130x1200-cropped.png\",\"width\":2130,\"height\":447,\"caption\":\"PredictLeads\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Real-Time Company Intelligence Case Study (October 2026)","description":"See how a B2B data company turned static profiles into real-time company intelligence with PredictLeads News Events. Updated October 2026.","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:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/","og_locale":"en_US","og_type":"article","og_title":"How a B2B Data Company Used PredictLeads News Events (October 2026)","og_description":"See how a B2B data company turned static profiles into real-time company intelligence with PredictLeads News Events. Updated October 2026.","og_url":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/","og_site_name":"PredictLeads","article_published_time":"2026-03-26T12:58:32+00:00","article_modified_time":"2026-10-21T17:31:31+00:00","og_image":[{"width":1536,"height":1024,"url":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/generated-generated-image-1792603807069.png","type":"image\/png"}],"author":"Robert Fon","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Robert Fon","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#article","isPartOf":{"@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/"},"author":{"name":"Robert Fon","@id":"https:\/\/predictleads.com\/blog\/#\/schema\/person\/5e71e16aecc9270b7e458092273b768a"},"headline":"How a B2B Data Company Used PredictLeads News Events (October 2026)","datePublished":"2026-03-26T12:58:32+00:00","dateModified":"2026-10-21T17:31:31+00:00","mainEntityOfPage":{"@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/"},"wordCount":2004,"publisher":{"@id":"https:\/\/predictleads.com\/blog\/#organization"},"image":{"@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#primaryimage"},"thumbnailUrl":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/generated-generated-image-1792603807069.png","keywords":["Case Study","News Events dataset","PredictLeads"],"articleSection":["Case Study"],"inLanguage":"en-US","copyrightYear":"2026","copyrightHolder":{"@id":"https:\/\/predictleads.com\/blog\/#organization"}},{"@type":"WebPage","@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/","url":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/","name":"Real-Time Company Intelligence Case Study (October 2026)","isPartOf":{"@id":"https:\/\/predictleads.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#primaryimage"},"image":{"@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#primaryimage"},"thumbnailUrl":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/generated-generated-image-1792603807069.png","datePublished":"2026-03-26T12:58:32+00:00","dateModified":"2026-10-21T17:31:31+00:00","description":"See how a B2B data company turned static profiles into real-time company intelligence with PredictLeads News Events. Updated October 2026.","breadcrumb":{"@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#primaryimage","url":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/generated-generated-image-1792603807069.png","contentUrl":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2026\/10\/generated-generated-image-1792603807069.png","width":1536,"height":1024},{"@type":"BreadcrumbList","@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/predictleads.com\/blog\/"},{"@type":"ListItem","position":2,"name":"How a B2B Data Company Used PredictLeads News Events (October 2026)"}]},{"@type":"WebSite","@id":"https:\/\/predictleads.com\/blog\/#website","url":"https:\/\/predictleads.com\/blog\/","name":"PredictLeads Blog","description":"Company Intelligence Data","publisher":{"@id":"https:\/\/predictleads.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/predictleads.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":["Organization","Place"],"@id":"https:\/\/predictleads.com\/blog\/#organization","name":"PredictLeads","url":"https:\/\/predictleads.com\/blog\/","logo":{"@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#local-main-organization-logo"},"image":{"@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#local-main-organization-logo"},"sameAs":["https:\/\/www.linkedin.com\/company\/predictleads"],"description":"PredictLeads is a B2B company intelligence provider that transforms observable business signals into structured, actionable data. It tracks companies globally across hiring activity, technology usage, news events, financing, customer and partner relationships, similar companies, and other company-level signals. The data is delivered through APIs, flat files, webhooks, and MCP, allowing organizations to integrate company intelligence directly into their products, research workflows, AI agents, and internal systems. PredictLeads serves investment firms, consulting teams, sales and marketing organizations, data platforms, and enterprises that use these signals for market research, lead generation, company monitoring, investment analysis, and strategic decision-making.","legalName":"4see, Inc., dba PredictLeads","foundingDate":"2015-02-26","naics":"518210","numberOfEmployees":{"@type":"QuantitativeValue","minValue":"11","maxValue":"50"},"telephone":[],"openingHoursSpecification":[{"@type":"OpeningHoursSpecification","dayOfWeek":["Monday","Tuesday","Wednesday","Thursday","Friday","Saturday","Sunday"],"opens":"09:00","closes":"17:00"}]},{"@type":"Person","@id":"https:\/\/predictleads.com\/blog\/#\/schema\/person\/5e71e16aecc9270b7e458092273b768a","name":"Robert Fon","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/276487f2d00d0169b564cde1cda64987044625156e02df4201abd3a05cd1692a?s=96&d=mm&r=g","caption":"Robert Fon"}},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/predictleads.com\/blog\/real-time-company-intelligence-case-study\/#local-main-organization-logo","url":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2021\/09\/predict-leads-logo-color-2130x1200-cropped.png","contentUrl":"https:\/\/predictleads.com\/blog\/wp-content\/uploads\/2021\/09\/predict-leads-logo-color-2130x1200-cropped.png","width":2130,"height":447,"caption":"PredictLeads"}]}},"_links":{"self":[{"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/posts\/800","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/comments?post=800"}],"version-history":[{"count":5,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/posts\/800\/revisions"}],"predecessor-version":[{"id":2184,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/posts\/800\/revisions\/2184"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/media\/2183"}],"wp:attachment":[{"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/media?parent=800"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/categories?post=800"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/predictleads.com\/blog\/wp-json\/wp\/v2\/tags?post=800"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}