{"id":8741,"date":"2026-03-12T15:24:50","date_gmt":"2026-03-12T15:24:50","guid":{"rendered":"https:\/\/phantombuster.com\/blog\/?p=8741"},"modified":"2026-03-12T15:24:50","modified_gmt":"2026-03-12T15:24:50","slug":"linkedin-throttling-impact-outbound-automation","status":"publish","type":"post","link":"https:\/\/blogv2.phantombuster.com\/blog\/linkedin-automation\/linkedin-throttling-impact-outbound-automation\/","title":{"rendered":"What is LinkedIn Throttling and How Does it Impact Outbound Automations?"},"content":{"rendered":"<h1>What Is LinkedIn Throttling and How Does It Impact Outbound Automations?<\/h1>\n<p>You set up a LinkedIn automation, run it for a week, and then connection requests stop sending. Messages seem to disappear. Or your tool reports failures you can&#8217;t explain. You search &#8220;LinkedIn throttling&#8221; and find conflicting advice about &#8220;magic numbers&#8221; and bans.<\/p>\n<p>The practical reality is simpler: what people call &#8220;throttling&#8221; usually falls into a few different failure modes. If you diagnose the wrong one, you waste time and often add more risk. In this article, we\u00a0treat &#8220;LinkedIn throttling&#8221; as a symptom. Use CAP\/BLOCK\/FAIL to identify the cause and how to handle each one.<\/p>\n<h2>Why &#8220;LinkedIn throttling&#8221; is the wrong question to ask<\/h2>\n<h3>The word &#8220;throttling&#8221; hides three different problems<\/h3>\n<p>Online, &#8220;throttling&#8221; gets used as a catch-all for different issues: invite acceptance drops, messages not being delivered, automations failing to execute actions, search not showing expected people, and content reach falling. Those aren&#8217;t the same mechanism. Treating them as one problem leads you to the wrong fix.<\/p>\n<p>You might blame enforcement when your tool failed to click a button. You might assume you hit a hard limit when you ran out of InMail credits. Or you might pause all activity when the real issue is a UI change your automation tool couldn&#8217;t handle. CAP\/BLOCK\/FAIL replaces vague language with a simple framework. It helps you classify what you&#8217;re seeing into one of three buckets:<\/p>\n<ul>\n<li><strong>CAP:<\/strong> Commercial caps, credit-based limits tied to product mechanics.<\/li>\n<li><strong>BLOCK:<\/strong> Behavioral enforcement, pattern-based restrictions from LinkedIn&#8217;s anti-abuse systems.<\/li>\n<li><strong>FAIL:<\/strong> Automation execution failure, tool and UI mismatch that causes actions not to run.<\/li>\n<\/ul>\n<p>Each bucket needs a different response. Mixing them up is why most troubleshooting goes in circles.<\/p>\n<h3>What LinkedIn evaluates during enforcement<\/h3>\n<p>LinkedIn doesn&#8217;t flip a simple on\/off switch on tools. It reacts to behavior patterns that degrade user experience\u2014high-cadence, repetitive, low-context interactions. LinkedIn enforces based on patterns, not just raw counts. That&#8217;s why there isn&#8217;t a single universal &#8220;magic number&#8221; that guarantees safety or triggers a restriction.<\/p>\n<blockquote><p>LinkedIn doesn&#8217;t behave like a simple counter. It reacts to patterns over time.<\/p><\/blockquote>\n<p>PhantomBuster Product Expert, <a href=\"https:\/\/www.linkedin.com\/in\/brianejmoran\/\" target=\"_blank\" rel=\"noopener\">Brian Moran<\/a><\/p>\n<p>LinkedIn also evaluates activity against your baseline. That&#8217;s why two similar workflows can get different results\u2014and why gradual ramps reduce friction. Think of it as your account&#8217;s Profile Activity DNA, the patterns LinkedIn has already learned are normal for your profile. In most cases, the platform is asking two questions:<\/p>\n<ul>\n<li>Does this look like a person using LinkedIn?<\/li>\n<li>Does it look like <em>this person<\/em> usually uses LinkedIn?<\/li>\n<\/ul>\n<p>If your activity spikes after weeks of dormancy, you&#8217;re more likely to trigger friction. The change in behavior often matters more than the number itself.<\/p>\n<h2>The CAP\/BLOCK\/FAIL diagnostic: How to identify what is happening<\/h2>\n<h3>CAP: Commercial caps: Credits and feature mechanics<\/h3>\n<p>Commercial caps are limits tied to product mechanics. For example, Sales Navigator InMail credits\u00a0cap outreach; once credits hit zero, InMail sends fail until the monthly reset. <strong>Signals<\/strong><\/p>\n<ul>\n<li>An explicit pop-up or UI message indicating a credit or limit state.<\/li>\n<li>The issue is tied to a paid feature mechanic, not to behavior patterns.<\/li>\n<li>InMail credits reset monthly.\u00a0Check your plan&#8217;s reset date in LinkedIn \u2192 Settings \u2192 Subscriptions before resuming sends.<\/li>\n<li>You can still do other actions, but the specific capped action fails.<\/li>\n<\/ul>\n<p><strong>Example:<\/strong> You see an &#8220;out of credits&#8221; message. Your automation reports failures, and a manual check shows a credit cap message in LinkedIn or Sales Navigator. This isn&#8217;t mysterious throttling. It&#8217;s a product cap with rules and reset timing. Confusion usually comes from not knowing which actions consume credits or miscounting usage against the monthly allocation.<\/p>\n<h3>BLOCK: Behavioral enforcement: Pattern-based restrictions<\/h3>\n<p>Behavioral enforcement is LinkedIn&#8217;s anti-abuse system reacting to your activity patterns.<\/p>\n<p><strong>Signals:<\/strong><\/p>\n<ul>\n<li>You see session friction\u2014forced logouts, frequent re-authentication, or\u00a0session invalidation.<\/li>\n<li>Warning prompts like &#8220;unusual activity detected&#8221;.<\/li>\n<li>Temporary restrictions and\/or identity verification requests.<\/li>\n<li>Reduced ability to perform certain actions after repeated issues.<\/li>\n<\/ul>\n<p>LinkedIn evaluates your activity relative to your account&#8217;s baseline. This is where Profile Activity DNA shows up in practice. A common trigger pattern is &#8220;slide and spike,&#8221; long periods of low activity followed by a sharp ramp. Abrupt behavior changes often look unnatural for that account, even when the absolute numbers look modest.<\/p>\n<blockquote><p>Avoid slide and spike patterns. Gradual ramps outperform sudden jumps.<\/p><\/blockquote>\n<p>PhantomBuster Product Expert, <a href=\"https:\/\/www.linkedin.com\/in\/brianejmoran\/\" target=\"_blank\" rel=\"noopener\">Brian Moran<\/a><\/p>\n<h3>FAIL: Automation execution failure: Tool and UI mismatch<\/h3>\n<p>Execution failure means the automation didn&#8217;t complete the UI action. In PhantomBuster, check the Automation logs to confirm whether the click or send occurred. You don&#8217;t get a LinkedIn warning because LinkedIn didn&#8217;t block you; the action just didn&#8217;t happen.<\/p>\n<ul>\n<li>The automation &#8220;runs,&#8221; but the visible outcome doesn&#8217;t occur.<\/li>\n<li>No LinkedIn warning appears.<\/li>\n<li>Inconsistent behavior across profiles, searches, and surfaces.<\/li>\n<li>The issue correlates with UI changes or layout variance.<\/li>\n<\/ul>\n<p>LinkedIn updates its HTML structure regularly, so selectors can break. That&#8217;s why you should confirm actions in the UI when logs look unusual. The UI can look the same to a human while the underlying structure changes. If a tool can&#8217;t handle multiple surfaces and UI drift, actions may fail silently.<\/p>\n<p>Many &#8220;silent throttling&#8221; cases are silent failures from UI changes. PhantomBuster surfaces these in Automation logs so you can distinguish enforcement from execution errors.<\/p>\n<h4><strong>Diagnostic table<\/strong><\/h4>\n<table style=\"min-width: 100px;\">\n<colgroup>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/>\n<col style=\"min-width: 25px;\" \/><\/colgroup>\n<tbody>\n<tr>\n<td colspan=\"1\" rowspan=\"1\"><strong>Symptom<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>CAP<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>BLOCK<\/strong><\/td>\n<td colspan=\"1\" rowspan=\"1\"><strong>FAIL<\/strong><\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Explicit pop-up or credit\/limit message<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u2713<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Session friction: forced logout, repeated re-authentication<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\">\u2713<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Warning prompt like &#8220;unusual activity&#8221;<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\">\u2713<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Automation runs, but nothing happens<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\">\u2713<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">No LinkedIn warning, inconsistent results<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\">\u2713<\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Tied to paid feature mechanics<\/td>\n<td colspan=\"1\" rowspan=\"1\">\u2713<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<\/tr>\n<tr>\n<td colspan=\"1\" rowspan=\"1\">Correlates with an abrupt activity spike<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<td colspan=\"1\" rowspan=\"1\">\u2713<\/td>\n<td colspan=\"1\" rowspan=\"1\"><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>How to diagnose your issue fast: Use the manual parity test<\/h2>\n<h3>What is the manual parity test?<\/h3>\n<p>The manual parity test cuts through guesswork by comparing manual and automated results. If manual succeeds and automation fails twice in a row under the same context, treat it as FAIL and review logs\/selectors.<\/p>\n<p><strong>Steps:<\/strong><\/p>\n<ol>\n<li>Attempt the same action manually in LinkedIn, same account, similar context.<\/li>\n<li>Attempt the same action via automation.<\/li>\n<li>Compare outcomes.<\/li>\n<li>Document what you observe\u00a0with screenshots and Automation\u00a0logs.<\/li>\n<\/ol>\n<p>Most &#8220;throttling&#8221; threads start with assumptions. The manual parity test forces a simple check: did LinkedIn block you, or did your tool fail to execute?<\/p>\n<h3>How to interpret the results<\/h3>\n<p><strong>If manual works, but automation fails:<\/strong> Suspect <strong>FAIL<\/strong>. UI drift, surface variance, or tool error handling is often the cause.<\/p>\n<p><strong>If both fail and LinkedIn shows prompts or warnings:<\/strong> Suspect <strong>BLOCK<\/strong>. LinkedIn&#8217;s systems are reacting to your activity pattern.<\/p>\n<p><strong>If LinkedIn shows credit or cap messaging:<\/strong> Suspect <strong>CAP<\/strong>. You hit a product-based limit, not a behavioral restriction.<\/p>\n<p>The goal is to separate &#8220;LinkedIn stopped the action&#8221; (CAP or BLOCK) from &#8220;the tool didn&#8217;t execute the action&#8221; (FAIL). Without this check, it&#8217;s easy to chase the wrong fix.<\/p>\n<blockquote><p><strong>Tip:<\/strong> Document what LinkedIn showed you. A screenshot of the exact prompt or state speeds up troubleshooting and keeps you from guessing.<\/p><\/blockquote>\n<h2>What to do when you hit a wall: Next steps by diagnosis<\/h2>\n<h3>If you diagnose CAP: Commercial caps<\/h3>\n<p><strong>Actions<\/strong><\/p>\n<ul>\n<li>Check credit and limit status in LinkedIn or Sales Navigator.<\/li>\n<li>Confirm the reset schedule in Sales Navigator \u2192 Admin \u2192 License &amp; Credits. InMail credits reset monthly.<\/li>\n<li>Review whether your workflow relies too heavily on a capped feature.<\/li>\n<li>Adjust your outreach mix toward non-capped alternatives where it makes sense.<\/li>\n<\/ul>\n<p>Commercial caps are predictable once you know what consumes credits and when credits reset. Plan around them instead of troubleshooting them like enforcement.<\/p>\n<h3>If you diagnose BLOCK: Behavioral enforcement<\/h3>\n<p><strong>Actions<\/strong><\/p>\n<ul>\n<li>Pause all automated actions for 48\u201372 hours on the affected account.<\/li>\n<li>Use LinkedIn manually for 2\u20133 days (e.g., 5\u201310 profile views and 3\u20135 personalized messages per day).<\/li>\n<li>Restart at ~20% of your prior daily volume and increase 10\u201320% weekly if no warnings appear.<\/li>\n<li>Remove slide and spike patterns from your operating rhythm.<\/li>\n<li>Prioritize targeting and personalization over volume.<\/li>\n<\/ul>\n<p>Behavioral enforcement responds to patterns over time. You don&#8217;t &#8220;fix&#8221; it with one setting. You reduce repeat friction by rebuilding consistency. Use PhantomBuster scheduling to spread actions across the day so your activity looks consistent and avoids spikes.<\/p>\n<h3>If you diagnose FAIL: Automation execution failure<\/h3>\n<p><strong>Actions<\/strong><\/p>\n<ul>\n<li>Check whether the tool reported warnings, partial runs, or element errors.<\/li>\n<li>Run the manual parity test to confirm the action works manually.<\/li>\n<li>If manual works and automation fails, open PhantomBuster \u2192 Automation \u2192 Logs to check selector or element errors, then review the Automation&#8217;s changelog or contact PhantomBuster Support.<\/li>\n<li>Review whether your workflow depends on a specific LinkedIn surface that changes often.<\/li>\n<\/ul>\n<p>Because\u00a0UI drift is ongoing, PhantomBuster maintains selectors and surfaces skipped\/blocked actions in logs so you can remediate quickly. <strong>When in doubt:<\/strong> Run a manual parity test. It tells you where to focus, CAP, BLOCK, or FAIL, without guessing.<\/p>\n<h2>Why your account history matters more than daily limits<\/h2>\n<h3>What is Profile Activity DNA?<\/h3>\n<p>Each LinkedIn account has a behavioral baseline, a history of what LinkedIn has learned is normal for that profile. Risk depends on how your activity compares to your baseline, not just a number you read online. Two profiles can run the same workflow and get different outcomes because their history differs, including usage patterns and prior friction.<\/p>\n<blockquote><p>Each LinkedIn account has its own activity DNA. Two accounts can behave differently under the same workflow.<\/p><\/blockquote>\n<p>PhantomBuster Product Expert, <a href=\"https:\/\/www.linkedin.com\/in\/brianejmoran\/\" target=\"_blank\" rel=\"noopener\">Brian Moran<\/a><\/p>\n<p>This is why generic &#8220;safe limits&#8221; advice often fails. What looks normal for an established account with consistent daily usage can trigger friction for a dormant account that ramps up quickly.<\/p>\n<h3>Why &#8220;slide and spike&#8221; patterns create friction<\/h3>\n<p>If your account has been low-activity for a while, then you ramp up automation fast, you create a clear behavior change.<\/p>\n<p><strong>Why this matters:<\/strong> LinkedIn&#8217;s systems react to sudden deltas\u2014sharp jumps from your recent baseline increase friction. A profile that goes from 5 actions per day to 50 actions per day overnight often looks abnormal for that specific account, even if &#8220;50&#8221; sounds conservative compared to what you&#8217;ve seen online. Being under a commonly cited limit does not automatically make a spike safe.<\/p>\n<h3>How to build safer patterns<\/h3>\n<p>Start low, ramp gradually, and stay consistent. Avoid bursty &#8220;hero mode&#8221; days followed by inactivity.<\/p>\n<p><strong>Practical approach<\/strong><\/p>\n<ul>\n<li>Start at ~20% of your target daily volume (e.g., if your target is 50 actions\/day, begin at 10).<\/li>\n<li>Increase\u00a0by 10\u201320% per week if you see no warnings, login challenges, or delivery anomalies in logs.<\/li>\n<li>Use PhantomBuster pacing controls to spread actions across working hours (e.g., 9am\u20135pm in the account&#8217;s local time).<\/li>\n<\/ul>\n<p>Think of this as behavioral storytelling\u2014steady patterns protect deliverability and keep reply rates and meetings booked from dipping after restrictions. Gradual changes look like a person building a routine. Abrupt jumps look like automation is misconfigured or misused. PhantomBuster&#8217;s cloud execution supports scheduling and distributing actions over time, which helps reduce accidental spikes when you automate.<\/p>\n<h2>Common throttling myths: What holds up in practice<\/h2>\n<h3>Myth: &#8220;There is a universal daily or weekly limit that guarantees safety.&#8221;<\/h3>\n<p><strong>Reality:<\/strong> LinkedIn enforcement is largely pattern-based. Two accounts can run the same workflow and get different outcomes because their activity baselines differ. The internet is full of &#8220;safe numbers&#8221; repeated without context. Those numbers ignore account history and changes in behavior. What worked for someone else or last year isn&#8217;t a reliable operating rule for your account today.<\/p>\n<h3>Myth: &#8220;LinkedIn silently blocks messages with no warning.&#8221;<\/h3>\n<p><strong>Reality:<\/strong> When LinkedIn blocks an action in the UI, you should see a prompt, warning, or state change. Verify by repeating the action manually and noting the exact banner or dialog. The &#8220;silent&#8221; part often comes from tools not surfacing the error state clearly. Before assuming enforcement, run the manual parity test. If the action works in the UI but fails in automation, you&#8217;re usually looking at FAIL.<\/p>\n<h3>Myth: &#8220;If my tool says the action was sent, it was delivered.&#8221;<\/h3>\n<p><strong>Reality:<\/strong> A tool can report success if it fails to detect a UI change or an error state. That&#8217;s common when selectors break, and error handling is weak. If the results look off, verify on LinkedIn. Treat tool logs as signals, not proof.<\/p>\n<h3>Myth: &#8220;Switching tools will fix my throttling problem.&#8221;<\/h3>\n<p><strong>Reality:<\/strong> If the issue is BLOCK, switching tools doesn&#8217;t change your account&#8217;s behavior baseline. You still need to change the pattern that triggered enforcement. If the issue is FAIL, switching can help, but only if the new tool handles UI drift and surface variance more reliably. Understanding how to <a href=\"https:\/\/phantombuster.com\/blog\/linkedin-automation\/evaluate-linkedin-automation-tools\/\" target=\"_blank\" rel=\"noopener\">evaluate LinkedIn automation tools<\/a> before making a switch can save you from repeating the same mistakes.<\/p>\n<h2>How PhantomBuster supports safer automation and faster diagnosis<\/h2>\n<p>PhantomBuster is built for <a href=\"https:\/\/phantombuster.com\/blog\/linkedin-automation\/responsible-vs-spammy-linkedin-automation\/\" target=\"_blank\" rel=\"noopener\">responsible automation<\/a>. The goal is to help you run consistent workflows, understand what&#8217;s happening when something breaks, and reduce avoidable behavior spikes.\u00a0PhantomBuster enables two core outcomes: stabilize pacing to avoid enforcement friction, and see what happened when issues occur so you can fix them fast.<\/p>\n<p><strong>Stabilize pacing and reduce spikes:<\/strong> PhantomBuster Automations run in the cloud so you can schedule and distribute actions over time to avoid spikes. Use PhantomBuster pacing controls to spread actions across the day and prevent spikes from misconfigured runs. Cloud sessions reduce local machine variability (tabs, CPU, extensions), which makes execution more consistent during debugging.<\/p>\n<p><strong>See what happened and separate enforcement from execution errors:<\/strong> When LinkedIn shows a warning, restriction, or UI error, PhantomBuster surfaces it in the Automation logs so you can separate enforcement from execution failure. This visibility helps you diagnose CAP, BLOCK, or FAIL without guessing.<\/p>\n<blockquote><p><strong>Note:<\/strong> No tool removes risk. The practical target is risk reduction through steadier patterns, better targeting, and clearer diagnostics when something changes.<\/p><\/blockquote>\n<h2>Conclusion<\/h2>\n<p>&#8220;LinkedIn throttling&#8221; is a symptom, not a diagnosis. A more useful question is: is this CAP, BLOCK, or FAIL? Once you classify the failure mode, the next step becomes clear: wait for a credit reset, adjust your activity patterns, or troubleshoot automation execution. Don&#8217;t chase magic numbers. Build consistent patterns, ramp gradually, and use the manual parity test to verify what&#8217;s really happening. Ready to automate responsibly and keep your workflows predictable?<\/p>\n<p>Start <a href=\"https:\/\/phantombuster.com\/signup\" target=\"_blank\" rel=\"noopener\">your free 14-day trial<\/a> and use scheduling and pacing controls to keep outbound activity steady.\u00a0Operate within LinkedIn&#8217;s terms and prioritize personalized outreach over volume.<\/p>\n<h2>FAQ<\/h2>\n<h3>What does &#8220;LinkedIn throttling&#8221; usually mean for connection requests, messages, and\u00a0profile visits?<\/h3>\n<p>It&#8217;s usually a symptom label, not one single mechanism. In practice, most &#8220;throttling&#8221; complaints map to one of three causes: CAP (commercial caps like InMail credits), BLOCK (pattern-based enforcement after unusual behavior), or FAIL (automation execution failure from UI drift or surface variance).<\/p>\n<h3>How can I quickly tell whether my issue is CAP, BLOCK, or FAIL?<\/h3>\n<p>Run a manual check in the same context. Look for explicit credit or cap messaging (CAP), session friction or warnings like &#8220;unusual activity&#8221; (BLOCK), or a run that &#8220;succeeds&#8221; with no visible result and no LinkedIn prompt (FAIL).<\/p>\n<h3>What are the clearest signs of session friction, and what should I do when it happens?<\/h3>\n<p>Session friction is often an early signal that something looks off in the current session. Common signs include forced logout, repeated re-authentication, or sessions expiring during normal use. Pause automation, switch to light manual usage briefly, then resume with steadier pacing.<\/p>\n<h3>Why do sudden changes in activity trigger problems even if I&#8217;m &#8220;under the limit&#8221;?<\/h3>\n<p>Because the pattern change can matter more than the absolute volume. If your profile&#8217;s activity DNA is low and you ramp fast, you create a &#8220;slide and spike&#8221; pattern that can look unnatural. A safer approach is a gradual ramp-up and consistent daily behavior.<\/p>\n<h3>What is the manual parity test, and how does it help when actions &#8220;don&#8217;t send&#8221;?<\/h3>\n<p>It compares the same action done manually versus via automation. If manual works and automation fails, suspect FAIL (UI drift\u00a0or surface variance) and check PhantomBuster logs. If both fail and you see a <a href=\"https:\/\/phantombuster.com\/blog\/linkedin-automation\/what-is-linkedin-detection\/\" target=\"_blank\" rel=\"noopener\">LinkedIn prompt<\/a>, suspect BLOCK. If you see a credits message, it&#8217;s CAP.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>LinkedIn throttling killing your outbound automation? Use the CAP\/BLOCK\/FAIL framework and manual parity test to pinpoint caps, blocks or tool failures fast.&#8221;<\/p>\n","protected":false},"author":8,"featured_media":9628,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[55],"tags":[34],"class_list":["post-8741","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-linkedin-automation","tag-automation"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What is LinkedIn Throttling and How Does it Impact Outbound Automations?<\/title>\n<meta name=\"description\" content=\"LinkedIn throttling killing your outbound automation? 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