{"id":7279,"date":"2026-06-04T06:56:28","date_gmt":"2026-06-04T06:56:28","guid":{"rendered":"https:\/\/www.coffee.ai\/articles\/website-visitor-identification-sales\/"},"modified":"2026-06-04T06:56:28","modified_gmt":"2026-06-04T06:56:28","slug":"website-visitor-identification-sales","status":"publish","type":"post","link":"https:\/\/www.coffee.ai\/articles\/website-visitor-identification-sales\/","title":{"rendered":"Website Visitor Identification for Sales in 2026"},"content":{"rendered":"<p><em>Written by: Doug Camplejohn, CEO &amp; Co-Founder, Coffee<\/em><\/p>\n<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Website visitor identification in 2026 connects anonymous B2B traffic to specific people using reverse IP lookup, browser fingerprinting, and intent signals so sales can respond faster.<\/li>\n<li>Person-level identification sends name, title, email, and LinkedIn profiles straight into CRM workflows, which enables personalized outreach within minutes instead of days.<\/li>\n<li>Legacy company-level tools only reveal which organizations visited, while point solutions require separate dashboards and manual CRM entry that slow sales activation.<\/li>\n<li>Key evaluation criteria include person-level accuracy, ICP filtering, real-time Slack routing, native CRM write-back, and simple pricing models that keep speed-to-contact high.<\/li>\n<li>Teams ready to close the gap between visit and contact can <a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">see Coffee pricing and start identifying visitors today<\/a>.<\/li>\n<\/ul>\n<h2>Why Sales Teams Are Moving Fast on Visitor Identification<\/h2>\n<p><a href=\"https:\/\/salesmotion.io\/blog\/identify-website-visitors\" target=\"_blank\" rel=\"noindex nofollow\">Up to 98% of B2B website visitors leave without filling out a form<\/a>, so most traffic researches anonymously. For a Head of Sales or RevOps leader at a 10\u201350 person SaaS company, that silent audience represents a large, hidden pipeline. Response-time data raises the stakes further. <a href=\"https:\/\/kwanzoo.com\/blog\/the-24-hour-gap-website-visit-to-first-sales-contact\" target=\"_blank\" rel=\"noindex nofollow\">Prospects contacted within five minutes are 21x more likely to qualify as leads, and responding within the first minute produces a 391% conversion boost<\/a>. Yet <a href=\"https:\/\/kwanzoo.com\/blog\/the-24-hour-gap-website-visit-to-first-sales-contact\" target=\"_blank\" rel=\"noindex nofollow\">the average B2B SaaS lead response time across 939 companies is 47 hours, with 42% of companies taking longer than 24 hours<\/a>. The gap between visit and contact is where pipeline dies.<\/p>\n<p>Legacy company-level tools narrow that gap only partially. They tell you a company visited, not who inside that company cared enough to browse. Point solutions like RB2B or Warmly surface individuals but require separate dashboards, manual CRM entry, and extra enrichment steps. These workflows still leave a break between pixel hit and personalized outreach. <a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">Coffee closes that gap end to end so your team can respond while intent is fresh<\/a>.<\/p>\n<h2>Evaluation Criteria That Directly Affect Sales Activation Speed<\/h2>\n<p>Sales activation speed depends on how quickly a visitor signal becomes a named, enriched, outreach-ready lead inside your CRM. The nine criteria that matter most are person-level identification accuracy, ICP filtering before alerts fire, real-time Slack routing, native CRM write-back, suggested leads matched to buyer personas, pricing model simplicity, compliance posture for US traffic, match rate transparency, and implementation complexity.<\/p>\n<p>These criteria translate the abstract idea of \u201cbetter visitor identification\u201d into concrete outcomes such as faster routing, cleaner data, and fewer manual steps for reps.<\/p>\n<h2>Sales Activation Speed Rankings Across Coffee, RB2B, Warmly, and Leadfeeder<\/h2>\n<p>The table below compares how each tool performs on the five capabilities that most influence speed-to-outreach: person-level identification, suggested leads, real-time Slack routing, native CRM write-back, and pricing clarity.<\/p>\n<table>\n<thead>\n<tr>\n<th>Tool<\/th>\n<th>Person-Level Identification<\/th>\n<th>Suggested Leads Based on Buyer Persona<\/th>\n<th>Real-Time Slack Routing<\/th>\n<th>Native CRM Write-Back<\/th>\n<th>Pricing Model<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><strong>Coffee<\/strong><\/td>\n<td>Yes, name, title, email, LinkedIn<\/td>\n<td>Yes, recommends 2\u20133 specific contacts matching your ICP inside the visiting company<\/td>\n<td>Yes, one-click add to CRM from alert<\/td>\n<td>Yes, native, enrichment pre-filled automatically<\/td>\n<td>Seat-based, agent labor unlimited<\/td>\n<\/tr>\n<tr>\n<td><strong>RB2B<\/strong><\/td>\n<td><a href=\"https:\/\/nrev.ai\/blog\/website-visitor-identification\" target=\"_blank\" rel=\"noindex nofollow\">Yes, LinkedIn profiles for US traffic via identity graph; lower match rates than company-level tools<\/a><\/td>\n<td>No<\/td>\n<td><a href=\"https:\/\/nrev.ai\/blog\/website-visitor-identification\" target=\"_blank\" rel=\"noindex nofollow\">Yes, Slack delivery of LinkedIn profiles<\/a><\/td>\n<td>No native write-back, manual or Zapier required<\/td>\n<td>Freemium with paid tiers<\/td>\n<\/tr>\n<tr>\n<td><strong>Warmly<\/strong><\/td>\n<td><a href=\"https:\/\/nrev.ai\/blog\/website-visitor-identification\" target=\"_blank\" rel=\"noindex nofollow\">Yes, multi-provider waterfall combining company- and person-level data to maximize match rates<\/a><\/td>\n<td>No<\/td>\n<td><a href=\"https:\/\/nrev.ai\/blog\/website-visitor-identification\" target=\"_blank\" rel=\"noindex nofollow\">Yes, real-time Slack alerts<\/a><\/td>\n<td>Partial, separate configuration required<\/td>\n<td>Platform fee plus usage tiers<\/td>\n<\/tr>\n<tr>\n<td><strong>Leadfeeder<\/strong><\/td>\n<td><a href=\"https:\/\/leadfeeder.com\/blog\/website-visitor-identification\/how-to-identify-anonymous-website-visitors\" target=\"_blank\" rel=\"noindex nofollow\">No, company-level only<\/a><\/td>\n<td>No<\/td>\n<td>Limited, email digest primary<\/td>\n<td>CRM integrations available, enrichment manual<\/td>\n<td>Per-company identified pricing<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>How Reverse IP, Fingerprinting, and Intent Signals Work in 2026<\/h2>\n<p><a href=\"https:\/\/marketbetter.ai\/blog\/b2b-website-visitor-identification-guide\" target=\"_blank\" rel=\"noindex nofollow\">Modern B2B visitor identification starts with reverse DNS lookup, which matches a visitor\u2019s IP address against databases of known corporate IP ranges from providers such as Demandbase, Clearbit, 6sense, and Bombora<\/a>. That layer alone achieves <a href=\"https:\/\/getsalesclaw.com\/blog\/website-visitor-identification-b2b\" target=\"_blank\" rel=\"noindex nofollow\">realistic company-level match rates via reverse-IP lookup in B2B visitor identification that range from 20-70% depending on geography and traffic mix, commonly 30-50% for US B2B traffic<\/a>.<\/p>\n<p>Person-level resolution adds more signals on top of IP. <a href=\"https:\/\/marketbetter.ai\/blog\/b2b-website-visitor-identification-guide\" target=\"_blank\" rel=\"noindex nofollow\">Device fingerprinting creates a semi-unique identifier by combining browser attributes such as screen resolution, timezone, installed fonts, and WebGL renderer<\/a>. This method compensates for weaker IP reliability as more knowledge workers browse from home networks that resolve to ISPs instead of employers. <a href=\"https:\/\/marketbetter.ai\/blog\/b2b-website-visitor-identification-guide\" target=\"_blank\" rel=\"noindex nofollow\">Email pixel matching connects a known address from a marketing email click to an anonymous session<\/a>, while identity graphs link devices, cookies, and behavioral patterns to improve resolution. The result is person-level match rates that typically fall between 5\u201320% of US B2B traffic, with realistic expectations anchored at 10-15%. Vendors that claim much higher rates often blend person-level and company-level metrics.<\/p>\n<p>Intent signals such as pages viewed, visit frequency, time on site, and referral source then help prioritize which identified visitors deserve immediate outreach. <a href=\"https:\/\/leadfeeder.com\/blog\/website-visitor-identification\/how-to-identify-anonymous-website-visitors\" target=\"_blank\" rel=\"noindex nofollow\">Behavioral signals such as pricing or integrations page visits combine with ICP filters to rank identified visitors for sales outreach<\/a>.<\/p>\n<h2>Company-Level vs Person-Level Identity for Accuracy and Compliance<\/h2>\n<p><a href=\"https:\/\/nrev.ai\/blog\/website-visitor-identification\" target=\"_blank\" rel=\"noindex nofollow\">Company-level identification via reverse IP lookup offers a more straightforward privacy posture because it identifies organizations rather than individuals and falls outside GDPR personal data restrictions<\/a>. <a href=\"https:\/\/leadfeeder.com\/blog\/website-visitor-identification\/how-to-identify-anonymous-website-visitors\" target=\"_blank\" rel=\"noindex nofollow\">It does not rely on cookies and remains unaffected by consent banners or browser blocking<\/a>.<\/p>\n<p>Person-level identification trades that simplicity for sales precision. <a href=\"https:\/\/nrev.ai\/blog\/website-visitor-identification\" target=\"_blank\" rel=\"noindex nofollow\">It is primarily limited to US-based traffic due to GDPR and other privacy regulations, relies on probabilistic matching with lower match rates, and requires careful CCPA compliance handling<\/a>. For US SaaS teams, person-level data remains legally usable when handled correctly, but only when the right compliance infrastructure exists.<\/p>\n<h2>ICP Filtering That Removes Noise Before Reps See Alerts<\/h2>\n<p>Raw visitor lists without ICP filtering create noise instead of pipeline. <a href=\"https:\/\/kwanzoo.com\/blog\/the-24-hour-gap-website-visit-to-first-sales-contact\" target=\"_blank\" rel=\"noindex nofollow\">SDR teams using person-level visitor identification with ICP filtering can generate up to 4x more sales-qualified leads than traditional cold outbound from the same website traffic<\/a>. The key is filtering before the alert fires, not after a rep reviews a long list.<\/p>\n<p>Coffee applies buyer persona matching at the identification layer. Instead of surfacing every visitor from a target account, Coffee\u2019s agent recommends the two or three specific individuals inside that visiting company who match your defined ICP, including title, seniority, and function, and surfaces their LinkedIn profiles for immediate outreach. Competitors surface company visits or undifferentiated people lists. Coffee surfaces the right people.<\/p>\n<figure style=\"text-align: center\"><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\"><img decoding=\"async\" src=\"https:\/\/cdn.aigrowthmarketer.co\/1763678186019-5cc1a76ac78e.gif\" alt=\"Build people lists automatically with Coffee AI CRM Agent\" style=\"max-height: 500px\" loading=\"lazy\"><\/a><figcaption><em>Build people lists automatically with Coffee AI CRM Agent<\/em><\/figcaption><\/figure>\n<h2>Real-Time Alerts and Routing That Protect the Five-Minute Window<\/h2>\n<p>Speed of routing determines whether visitor identification turns into revenue. The five-minute response window mentioned earlier directly affects close rates, with sub-five-minute contact far outpacing delayed follow-up. <a href=\"https:\/\/kwanzoo.com\/blog\/the-24-hour-gap-website-visit-to-first-sales-contact\" target=\"_blank\" rel=\"noindex nofollow\">78% of B2B buyers purchase from whichever vendor responds first to their intent signals<\/a>, so routing delays quickly erode the value of identification.<\/p>\n<p>Coffee sends a real-time Slack notification when a high-fit visitor appears. The notification includes name, title, email, LinkedIn profile, pages visited, time on site, and visit history. One click adds the prospect to Coffee\u2019s CRM with all enrichment pre-filled, which removes manual data entry, tab-switching, and separate enrichment tools. <a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">Review Coffee setup options and turn this routing on for your team<\/a>.<\/p>\n<h2>CRM Enrichment and Suggested-Leads Workflows Compared<\/h2>\n<p><a href=\"https:\/\/nrev.ai\/blog\/website-visitor-identification\" target=\"_blank\" rel=\"noindex nofollow\">RB2B delivers LinkedIn profiles of US-based visitors directly to Slack<\/a> but stops at that point. Writing that contact to a CRM, enriching the record, and starting outreach all remain manual tasks. <a href=\"https:\/\/nrev.ai\/blog\/website-visitor-identification\" target=\"_blank\" rel=\"noindex nofollow\">Warmly uses a multi-provider data waterfall across 20+ sources to maximize match rates<\/a> and provides alerts, but CRM write-back needs separate configuration and the suggested-leads layer is not built in.<\/p>\n<p>Coffee connects every step in a single workflow. The tracking pixel identifies the visitor. The agent infers name, title, email, and LinkedIn profile. ICP filters determine fit. A Slack alert fires. One click writes a fully enriched contact to the CRM, either Coffee\u2019s standalone CRM or an existing Salesforce or HubSpot instance through the Companion App. The Suggested Leads feature then recommends additional ICP-matched contacts at the same company so teams can run multi-threaded outreach without extra tools or manual research.<\/p>\n<h2>Privacy and Compliance for US SaaS Teams in 2026<\/h2>\n<p>The US privacy landscape in 2026 consists of overlapping state laws rather than a single federal standard. <a href=\"https:\/\/dlapiperdataprotection.com\/countries\/united-states\/law.html\" target=\"_blank\" rel=\"noindex nofollow\">Comprehensive federal privacy legislation remains unlikely as of 2026<\/a>. Teams must comply with CCPA and new state laws. <a href=\"https:\/\/nge.com\/news-insights\/publication\/new-year-new-privacy-requirements\" target=\"_blank\" rel=\"noindex nofollow\">Indiana and Kentucky consumer data protection acts took effect January 1, 2026, with maximum penalties of $7,500 per violation<\/a>. <a href=\"https:\/\/nge.com\/news-insights\/publication\/new-year-new-privacy-requirements\" target=\"_blank\" rel=\"noindex nofollow\">Rhode Island\u2019s Data Transparency and Privacy Protection Act also took effect January 1, 2026, with no cure period and penalties up to $10,000 per violation<\/a>.<\/p>\n<p><a href=\"https:\/\/www.lw.com\/en\/insights\/navigating-new-obligations-under-the-ccpa-updated-regulations\" target=\"_blank\" rel=\"noindex nofollow\">Updated CCPA regulations effective January 1, 2026 introduce requirements for certain businesses to conduct risk assessments, with compliance deadlines phased in starting in 2027<\/a>. <a href=\"https:\/\/termly.io\/resources\/articles\/do-not-sell-my-personal-information\" target=\"_blank\" rel=\"noindex nofollow\">Covered businesses must provide a clear \u201cDo Not Sell or Share My Personal Information\u201d link on their homepage and honor opt-out requests<\/a>. Coffee holds SOC 2 Type 2 and GDPR compliance and does not use customer data to train public models, which sets a baseline any visitor identification vendor should meet before procurement.<\/p>\n<h2>Best-Fit Scenarios for Coffee and Standalone Tools<\/h2>\n<p>Early-stage teams with 1\u201320 people and no existing CRM gain the most from Coffee\u2019s Standalone AI-First CRM. This setup combines visitor identification, contact enrichment, pipeline management, and meeting intelligence in a single seat-based subscription. These teams avoid legacy integrations and complex point-solution stacks.<\/p>\n<p>Teams already committed to Salesforce or HubSpot typically deploy Coffee as a Companion App. The agent authenticates to the existing instance, writes enriched visitor contacts directly to the system of record, and surfaces suggested leads without disrupting current workflows, quotas, or required fields. Tool-consolidation projects often use Coffee to replace separate enrichment tools such as ZoomInfo or Apollo, visitor identification tools such as RB2B or Warmly, and recording tools such as Gong or Fathom under one agent.<\/p>\n<h2>Operational Factors: Change Management, Data Hygiene, and Scale<\/h2>\n<p>Visitor identification tools create new contacts quickly, which can overwhelm systems if data stays unfiltered and unenriched. Without ICP filtering and CRM write-back automation, that volume turns into a data hygiene problem. Coffee\u2019s agent handles deduplication and enrichment at ingestion so every visitor-sourced contact enters the CRM clean and aligned with ICP rules.<\/p>\n<p>This automation matters more as teams grow. For teams scaling from 20 to 50 qualified outbound leads per week, the agent\u2019s unlimited labor model absorbs higher volume without extra headcount or additional tools.<\/p>\n<h2>Risks and Limitations When Adding Visitor Identification<\/h2>\n<p>Person-level match rates typically fall between 5\u201320% of US B2B traffic, with realistic expectations anchored at 10-15%, so visitor identification supports outbound prospecting rather than replacing it. Given those match rates, teams still need strong outbound programs to reach the rest of their market.<\/p>\n<p><a href=\"https:\/\/leadfeeder.com\/blog\/website-visitor-identification\/how-to-identify-anonymous-website-visitors\" target=\"_blank\" rel=\"noindex nofollow\">Browser fingerprinting has come under increased regulatory scrutiny, with UK ICO guidance treating it as requiring explicit consent<\/a>, which signals that compliance requirements will tighten. Teams that rely on standalone tools without native CRM integration also add manual steps that reduce the speed advantage visitor identification should create.<\/p>\n<h2>Decision Framework for Choosing Coffee or a Standalone Tool<\/h2>\n<p>Choose Coffee\u2019s Standalone CRM if you have no existing CRM, need visitor identification plus pipeline management in one system, and want seat-based pricing without point-solution overhead. Choose Coffee\u2019s Companion App if you are committed to Salesforce or HubSpot, face low CRM adoption or data quality issues, and want visitor identification with native write-back while keeping your system of record. Choose a standalone tool such as RB2B, Warmly, or Leadfeeder only when you have a dedicated ops resource for manual CRM entry, a separate enrichment tool, and a tolerance for fragmented workflows.<\/p>\n<h2>5-Step Trigger-Based Outreach Workflow with Coffee<\/h2>\n<ol>\n<li><strong>Install the pixel.<\/strong> Drop Coffee\u2019s custom tracking script into the &lt;head&gt; tag of your site. Coffee verifies installation and starts identifying visitors immediately.<\/li>\n<li><strong>Set ICP filters.<\/strong> Define your buyer persona by title, seniority, company size, industry, and funding stage. The agent applies these filters before any alert fires.<\/li>\n<li><strong>Receive a real-time Slack alert.<\/strong> When a high-fit visitor appears, Coffee surfaces name, title, email, LinkedIn profile, pages visited, time on site, and visit history in a single Slack notification.<\/li>\n<li><strong>Add to CRM in one click.<\/strong> The prospect is written to Coffee or your Salesforce or HubSpot instance with all enrichment pre-filled. Reps avoid manual data entry.<\/li>\n<li><strong>Act on Suggested Leads.<\/strong> Coffee recommends two to three additional ICP-matched contacts at the same visiting company so teams can run multi-threaded outreach via LinkedIn, email, or auto-enrollment in a drip campaign without leaving the agent.<\/li>\n<\/ol>\n<p><a href=\"https:\/\/www.coffee.ai\/pricing\" target=\"_blank\">View Coffee\u2019s pricing and implementation guide and run this workflow on your next high-fit visitor<\/a>.<\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>How long does implementation typically take?<\/h3>\n<p>Coffee\u2019s tracking pixel installs in minutes. Paste a single script tag into your site\u2019s head element and Coffee verifies the connection automatically. For teams using the Companion App with Salesforce or HubSpot, a simple authentication flow connects the Coffee Agent to the existing CRM instance. Most teams identify visitors and receive Slack alerts on the same day they sign up. ICP filter configuration and buyer persona setup add about an hour of one-time work. Standard deployments do not require professional services or multi-week onboarding.<\/p>\n<h3>What technical expertise is required?<\/h3>\n<p>Installing the tracking pixel requires access to your site\u2019s head tag, which any developer, marketing ops resource, or CMS admin can handle. No engineering work is needed for the Slack integration or CRM connection because both use OAuth-based authentication flows. ICP filter setup and buyer persona configuration happen inside Coffee\u2019s interface without code. Teams without dedicated technical resources routinely complete the full setup on their own.<\/p>\n<h3>How much migration effort is involved when switching from RB2B or Warmly?<\/h3>\n<p>Switching from RB2B or Warmly to Coffee involves three steps. Remove the existing tracking pixel, install Coffee\u2019s pixel, and configure ICP filters and buyer persona settings. Historical visitor data from prior tools does not transfer, but Coffee starts building its own visitor history as soon as the pixel goes live. For teams using RB2B or Warmly with a separate CRM, the migration also removes manual enrichment and CRM entry, which simplifies the overall workflow.<\/p>\n<h3>How does person-level data quality compare with traditional enrichment tools?<\/h3>\n<p>Coffee\u2019s enrichment data, including job titles, funding information, and LinkedIn profiles, comes from licensed data partners and is broadly comparable to standalone enrichment tools such as Apollo for most use cases. The main difference is delivery context. Coffee surfaces enrichment at the moment of visitor identification and pre-fills the CRM record automatically instead of asking a rep to run a separate enrichment query. For teams currently paying for ZoomInfo or Apollo plus a visitor identification tool, Coffee consolidates both functions under one agent and removes redundant spend.<\/p>\n<h3>Which security certifications should teams verify in 2026?<\/h3>\n<p>Any visitor identification or CRM vendor handling US B2B contact data should at minimum hold SOC 2 Type 2 certification and maintain GDPR compliance documentation. In 2026, teams should also confirm that vendors have a published response to new CCPA risk assessment requirements effective January 1, 2026, a clear data retention and deletion policy aligned with state-level opt-out obligations, and a written commitment that customer data is not used to train public AI models. Coffee holds SOC 2 Type 2 and GDPR compliance and does not use customer data for public model training. Teams in regulated adjacent industries should request the vendor\u2019s most recent security review documentation before procurement.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Turn anonymous B2B traffic into pipeline. Coffee reveals person-level visitor identity with real-time CRM routing. Start identifying visitors today.<\/p>\n","protected":false},"author":11,"featured_media":7278,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7279","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts\/7279","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/comments?post=7279"}],"version-history":[{"count":0,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/posts\/7279\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media\/7278"}],"wp:attachment":[{"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/media?parent=7279"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/categories?post=7279"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.coffee.ai\/articles\/wp-json\/wp\/v2\/tags?post=7279"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}