TL;DR<\/h2>\n\n- LinkedIn’s default attribution window is 30-day click \/ 7-day view.<\/strong> You can extend it to 90 days for standard conversions or 180 days for Website Actions conversions. But B2B SaaS sales cycles average 84 days at mid-market and stretch past 6 months for enterprise — so the default window misses most of the revenue LinkedIn actually influenced.<\/li>\n
- LinkedIn offers two tracking methods: the Insight Tag and the Conversions API.<\/strong> The Insight Tag is browser-side and subject to cookie restrictions, ad blockers, and cross-device gaps. The Conversions API (launched January 2023) sends events server-side, recovering lost signal. Running both together gives the most complete picture.<\/li>\n
- The real attribution gap is between LinkedIn and your CRM.<\/strong> A prospect clicks a LinkedIn ad, visits your site over two months, gets nurtured by email, and closes on a sales call. LinkedIn sees the first click. Your CRM sees the closed deal. Nothing connects the two unless you build that bridge with server-side tracking or a platform like Hyros.<\/li>\n
- Hyros tracks the full journey from LinkedIn click to closed-won deal<\/strong> by matching the original click identifier to CRM events regardless of how many months pass between first touch and revenue.<\/li>\n<\/ul><\/div>\n\n\n\n
How does LinkedIn Ads attribution work?<\/h2>\n\n\n\n![\"Two](\"https:\/\/hyros.com\/updates\/wp-content\/uploads\/2026\/08\/m2-10-linkedin-default-attribution-windows-scaled.png\")
<\/figure>\n\n\n\nLinkedIn Campaign Manager records conversions in two ways: post-click (someone clicks your ad and later converts) and view-through (someone sees your ad without clicking and later converts). The system relies on the LinkedIn Insight Tag, a small JavaScript snippet installed on your website, to detect these events.<\/p>\n\n\n\n
When a member clicks your ad and lands on a page where the Insight Tag fires, LinkedIn logs that visit. If the member later reaches a page you have designated as a conversion event — a demo request confirmation page, a free trial signup, a pricing page form submission — LinkedIn attributes that conversion back to the ad. Simple enough for a short buying process. Disastrous for anything longer than 30 days.<\/p>\n\n\n\n
The LinkedIn Insight Tag<\/h3>\n\n\n\n
The Insight Tag is LinkedIn’s equivalent of the Meta Pixel or the Google Ads tag. It sits in the header of every page on your website and fires on each page load. LinkedIn uses it to match website visitors to LinkedIn members, which enables retargeting audiences and conversion tracking.<\/p>\n\n\n\n
The tag works well under controlled conditions. But it is browser-side JavaScript, which means three categories of signal loss apply:<\/p>\n\n\n\n
Cookie restrictions.<\/strong> Safari’s Intelligent Tracking Prevention caps first-party cookies set by JavaScript to 7 days in some configurations. A prospect who clicks your LinkedIn ad on Safari and returns 10 days later to request a demo will not be attributed to that click. The cookie expired.<\/p>\n\n\n\nAd blockers.<\/strong> Over 30% of desktop users run ad-blocking software. Many ad blockers prevent the Insight Tag from loading at all. Those visits and conversions are invisible to LinkedIn.<\/p>\n\n\n\nCross-device gaps.<\/strong> A VP of Engineering clicks your LinkedIn ad on their phone during a commute. Two weeks later, they request a demo from their work laptop. Different device, different browser, different cookie. LinkedIn cannot connect the two events through the Insight Tag alone.<\/p>\n\n\n\nThe LinkedIn Conversions API<\/h3>\n\n\n\n
LinkedIn launched its Conversions API (CAPI) in January 2023, following Meta and TikTok into server-side tracking. Instead of relying on the browser to fire events, CAPI lets you send conversion data directly from your server to LinkedIn’s servers. The data includes hashed personally identifiable information — email address, first name, last name, company — which LinkedIn matches against its member database.<\/p>\n\n\n\n
The advantage is straightforward: server-side events are not affected by cookie expiration, ad blockers, or cross-device fragmentation. If you capture a prospect’s email at form submission and send that event server-side to LinkedIn, the conversion gets attributed even if the prospect originally clicked from a different device or browser.<\/p>\n\n\n\n
CAPI also supports offline conversions. A prospect who clicked a LinkedIn ad three months ago and just closed a $50,000 annual contract through your sales team? You can send that closed-won event to LinkedIn through CAPI. The platform learns which campaigns drive real revenue, not just form fills.<\/p>\n\n\n\n
Attribution windows: 30-day click, 7-day view, and beyond<\/h3>\n\n\n\n
LinkedIn’s default attribution settings are a 30-day click window and a 7-day view window. This means a conversion must happen within 30 days of a click (or 7 days of an impression) for LinkedIn to credit the ad.<\/p>\n\n\n\n
You can adjust these. Standard Insight Tag conversions offer windows of 1, 7, 30, or 90 days. Website Actions conversions extend the options to 30, 60, 90, or 180 days. And if you use the Conversions API with CSV file uploads for specific conversion types (Submit Application, Purchase, Add to Cart, Qualified Lead, Lead), LinkedIn supports a lookback window of up to 365 days.<\/p>\n\n\n\n
Here is why this matters for SaaS: the median B2B SaaS sales cycle is 84 days for mid-market deals. Enterprise deals routinely take 6 to 9 months. If you leave LinkedIn’s window at 30 days, every deal that takes longer than a month to close — which is most of them — shows up as an “organic” or “direct” conversion in your CRM. LinkedIn gets no credit. Your ad performance reports look worse than reality. And you make budget decisions based on incomplete data.<\/p>\n\n\n\n
Why does LinkedIn attribution break for B2B SaaS?<\/h2>\n\n\n\n![\"A](\"https:\/\/hyros.com\/updates\/wp-content\/uploads\/2026\/08\/m2-10-window-shorter-than-sales-cycle-scaled.png\")
<\/figure>\n\n\n\nThe attribution problem on LinkedIn is not a bug in LinkedIn’s software. It is a structural mismatch between how LinkedIn measures and how B2B SaaS sells.<\/p>\n\n\n\n
Long sales cycles outlast the attribution window<\/h3>\n\n\n\n
A SaaS company selling a $30,000\/year platform to mid-market buyers will typically see 60 to 120 days between first touch and signed contract. Enterprise deals at $100,000+ stretch to 180 days or more. LinkedIn’s 30-day default window captures the first act of a three-act play and then goes dark.<\/p>\n\n\n\n
The math is unforgiving. If your sales cycle is 90 days and your attribution window is 30 days, roughly two-thirds of your conversion timeline falls outside what LinkedIn can see. Every deal that closes in month two or three registers as zero return on your LinkedIn spend. Your CFO looks at the numbers and asks why you are spending $35 per CPM on a channel that appears to produce nothing. The problem is not the channel. The problem is the measurement.<\/p>\n\n\n\n
Let’s imagine a VP of Engineering who clicks a LinkedIn Sponsored Content post in January. They do not fill out the form. They bookmark the page. Six weeks later they bring it to their team. Eight weeks after that, the procurement lead submits a demo request from a completely different device. The deal closes in April. Under LinkedIn’s 30-day window, that $40,000 contract shows up as direct traffic. LinkedIn gets zero credit. I’ve seen this exact pattern create budget decisions that kill profitable channels — not because the channel stopped working, but because the measurement expired before the sale closed.<\/p>\n\n\n\n
Multiple stakeholders on a single deal<\/h3>\n\n\n\n
Gartner’s research on complex B2B purchases finds the typical buying group includes 6 to 10 decision-makers, with each person independently gathering 4 to 5 pieces of information before sharing findings with the group (Gartner, Win More B2B Sales Deals, 2018<\/a>). A typical buying committee for a $50,000 SaaS contract might include a VP of Marketing who first saw the ad, a Director of Operations who attended the webinar, a procurement lead who compared pricing, and a CFO who approved the budget.<\/p>\n\n\n\nLinkedIn’s attribution tracks the individual member who clicked. It does not track the buying committee. If the VP of Marketing clicked the ad but the Director of Operations filled out the demo form, LinkedIn may not connect the two. And if the actual purchase decision happens in a boardroom six weeks later, no tag or pixel is present to record it.<\/p>\n\n\n\n
LinkedIn often assists but does not close<\/h3>\n\n\n\n
In most B2B journeys, LinkedIn sits at the top of the funnel. It is where decision-makers first encounter your brand — through a Sponsored Content post in their feed, a Message Ad in their inbox, or a retargeting display ad. But the actual conversion usually happens through a different channel: a Google search for your brand name, a direct visit to your pricing page, an email reply to a nurture sequence.<\/p>\n\n\n\n
Under last-touch attribution — which is what most CRMs default to — Google or email gets all the credit. LinkedIn gets none. Under first-touch attribution, LinkedIn gets credit but only within the attribution window. If the window expires before the deal closes, even first-touch misses it.<\/p>\n\n\n\n
This is the fundamental tension. LinkedIn is often the reason a prospect enters your pipeline. But it is rarely the last thing they touch before signing. And most measurement systems only reward the last touch.<\/p>\n\n\n\n
How do LinkedIn Ads and Google Ads attribution compare?<\/h2>\n\n\n\n![\"Two](\"https:\/\/hyros.com\/updates\/wp-content\/uploads\/2026\/08\/m2-10-linkedin-vs-google-display-cpm-scaled.png\")
<\/figure>\n\n\n\nB2B SaaS companies commonly run both LinkedIn and Google Ads. Understanding how their attribution systems differ helps explain why LinkedIn performance often looks worse on paper than it actually is.<\/p>\n\n\n\n
How does LinkedIn Ads attribution work?<\/h2>\n\n\n\n<\/figure>\n\n\n\nLinkedIn Campaign Manager records conversions in two ways: post-click (someone clicks your ad and later converts) and view-through (someone sees your ad without clicking and later converts). The system relies on the LinkedIn Insight Tag, a small JavaScript snippet installed on your website, to detect these events.<\/p>\n\n\n\n
When a member clicks your ad and lands on a page where the Insight Tag fires, LinkedIn logs that visit. If the member later reaches a page you have designated as a conversion event — a demo request confirmation page, a free trial signup, a pricing page form submission — LinkedIn attributes that conversion back to the ad. Simple enough for a short buying process. Disastrous for anything longer than 30 days.<\/p>\n\n\n\n
The LinkedIn Insight Tag<\/h3>\n\n\n\n
The Insight Tag is LinkedIn’s equivalent of the Meta Pixel or the Google Ads tag. It sits in the header of every page on your website and fires on each page load. LinkedIn uses it to match website visitors to LinkedIn members, which enables retargeting audiences and conversion tracking.<\/p>\n\n\n\n
The tag works well under controlled conditions. But it is browser-side JavaScript, which means three categories of signal loss apply:<\/p>\n\n\n\n
Cookie restrictions.<\/strong> Safari’s Intelligent Tracking Prevention caps first-party cookies set by JavaScript to 7 days in some configurations. A prospect who clicks your LinkedIn ad on Safari and returns 10 days later to request a demo will not be attributed to that click. The cookie expired.<\/p>\n\n\n\nAd blockers.<\/strong> Over 30% of desktop users run ad-blocking software. Many ad blockers prevent the Insight Tag from loading at all. Those visits and conversions are invisible to LinkedIn.<\/p>\n\n\n\nCross-device gaps.<\/strong> A VP of Engineering clicks your LinkedIn ad on their phone during a commute. Two weeks later, they request a demo from their work laptop. Different device, different browser, different cookie. LinkedIn cannot connect the two events through the Insight Tag alone.<\/p>\n\n\n\nThe LinkedIn Conversions API<\/h3>\n\n\n\n
LinkedIn launched its Conversions API (CAPI) in January 2023, following Meta and TikTok into server-side tracking. Instead of relying on the browser to fire events, CAPI lets you send conversion data directly from your server to LinkedIn’s servers. The data includes hashed personally identifiable information — email address, first name, last name, company — which LinkedIn matches against its member database.<\/p>\n\n\n\n
The advantage is straightforward: server-side events are not affected by cookie expiration, ad blockers, or cross-device fragmentation. If you capture a prospect’s email at form submission and send that event server-side to LinkedIn, the conversion gets attributed even if the prospect originally clicked from a different device or browser.<\/p>\n\n\n\n
CAPI also supports offline conversions. A prospect who clicked a LinkedIn ad three months ago and just closed a $50,000 annual contract through your sales team? You can send that closed-won event to LinkedIn through CAPI. The platform learns which campaigns drive real revenue, not just form fills.<\/p>\n\n\n\n
Attribution windows: 30-day click, 7-day view, and beyond<\/h3>\n\n\n\n
LinkedIn’s default attribution settings are a 30-day click window and a 7-day view window. This means a conversion must happen within 30 days of a click (or 7 days of an impression) for LinkedIn to credit the ad.<\/p>\n\n\n\n
You can adjust these. Standard Insight Tag conversions offer windows of 1, 7, 30, or 90 days. Website Actions conversions extend the options to 30, 60, 90, or 180 days. And if you use the Conversions API with CSV file uploads for specific conversion types (Submit Application, Purchase, Add to Cart, Qualified Lead, Lead), LinkedIn supports a lookback window of up to 365 days.<\/p>\n\n\n\n
Here is why this matters for SaaS: the median B2B SaaS sales cycle is 84 days for mid-market deals. Enterprise deals routinely take 6 to 9 months. If you leave LinkedIn’s window at 30 days, every deal that takes longer than a month to close — which is most of them — shows up as an “organic” or “direct” conversion in your CRM. LinkedIn gets no credit. Your ad performance reports look worse than reality. And you make budget decisions based on incomplete data.<\/p>\n\n\n\n
Why does LinkedIn attribution break for B2B SaaS?<\/h2>\n\n\n\n<\/figure>\n\n\n\nThe attribution problem on LinkedIn is not a bug in LinkedIn’s software. It is a structural mismatch between how LinkedIn measures and how B2B SaaS sells.<\/p>\n\n\n\n
Long sales cycles outlast the attribution window<\/h3>\n\n\n\n
A SaaS company selling a $30,000\/year platform to mid-market buyers will typically see 60 to 120 days between first touch and signed contract. Enterprise deals at $100,000+ stretch to 180 days or more. LinkedIn’s 30-day default window captures the first act of a three-act play and then goes dark.<\/p>\n\n\n\n
The math is unforgiving. If your sales cycle is 90 days and your attribution window is 30 days, roughly two-thirds of your conversion timeline falls outside what LinkedIn can see. Every deal that closes in month two or three registers as zero return on your LinkedIn spend. Your CFO looks at the numbers and asks why you are spending $35 per CPM on a channel that appears to produce nothing. The problem is not the channel. The problem is the measurement.<\/p>\n\n\n\n
Let’s imagine a VP of Engineering who clicks a LinkedIn Sponsored Content post in January. They do not fill out the form. They bookmark the page. Six weeks later they bring it to their team. Eight weeks after that, the procurement lead submits a demo request from a completely different device. The deal closes in April. Under LinkedIn’s 30-day window, that $40,000 contract shows up as direct traffic. LinkedIn gets zero credit. I’ve seen this exact pattern create budget decisions that kill profitable channels — not because the channel stopped working, but because the measurement expired before the sale closed.<\/p>\n\n\n\n
Multiple stakeholders on a single deal<\/h3>\n\n\n\n
Gartner’s research on complex B2B purchases finds the typical buying group includes 6 to 10 decision-makers, with each person independently gathering 4 to 5 pieces of information before sharing findings with the group (Gartner, Win More B2B Sales Deals, 2018<\/a>). A typical buying committee for a $50,000 SaaS contract might include a VP of Marketing who first saw the ad, a Director of Operations who attended the webinar, a procurement lead who compared pricing, and a CFO who approved the budget.<\/p>\n\n\n\nLinkedIn’s attribution tracks the individual member who clicked. It does not track the buying committee. If the VP of Marketing clicked the ad but the Director of Operations filled out the demo form, LinkedIn may not connect the two. And if the actual purchase decision happens in a boardroom six weeks later, no tag or pixel is present to record it.<\/p>\n\n\n\n
LinkedIn often assists but does not close<\/h3>\n\n\n\n
In most B2B journeys, LinkedIn sits at the top of the funnel. It is where decision-makers first encounter your brand — through a Sponsored Content post in their feed, a Message Ad in their inbox, or a retargeting display ad. But the actual conversion usually happens through a different channel: a Google search for your brand name, a direct visit to your pricing page, an email reply to a nurture sequence.<\/p>\n\n\n\n
Under last-touch attribution — which is what most CRMs default to — Google or email gets all the credit. LinkedIn gets none. Under first-touch attribution, LinkedIn gets credit but only within the attribution window. If the window expires before the deal closes, even first-touch misses it.<\/p>\n\n\n\n
This is the fundamental tension. LinkedIn is often the reason a prospect enters your pipeline. But it is rarely the last thing they touch before signing. And most measurement systems only reward the last touch.<\/p>\n\n\n\n
How do LinkedIn Ads and Google Ads attribution compare?<\/h2>\n\n\n\n<\/figure>\n\n\n\nB2B SaaS companies commonly run both LinkedIn and Google Ads. Understanding how their attribution systems differ helps explain why LinkedIn performance often looks worse on paper than it actually is.<\/p>\n\n\n\n
<\/figure>\n\n\n\nLinkedIn Campaign Manager records conversions in two ways: post-click (someone clicks your ad and later converts) and view-through (someone sees your ad without clicking and later converts). The system relies on the LinkedIn Insight Tag, a small JavaScript snippet installed on your website, to detect these events.<\/p>\n\n\n\n
When a member clicks your ad and lands on a page where the Insight Tag fires, LinkedIn logs that visit. If the member later reaches a page you have designated as a conversion event — a demo request confirmation page, a free trial signup, a pricing page form submission — LinkedIn attributes that conversion back to the ad. Simple enough for a short buying process. Disastrous for anything longer than 30 days.<\/p>\n\n\n\n
The LinkedIn Insight Tag<\/h3>\n\n\n\n
The Insight Tag is LinkedIn’s equivalent of the Meta Pixel or the Google Ads tag. It sits in the header of every page on your website and fires on each page load. LinkedIn uses it to match website visitors to LinkedIn members, which enables retargeting audiences and conversion tracking.<\/p>\n\n\n\n
The tag works well under controlled conditions. But it is browser-side JavaScript, which means three categories of signal loss apply:<\/p>\n\n\n\n
Cookie restrictions.<\/strong> Safari’s Intelligent Tracking Prevention caps first-party cookies set by JavaScript to 7 days in some configurations. A prospect who clicks your LinkedIn ad on Safari and returns 10 days later to request a demo will not be attributed to that click. The cookie expired.<\/p>\n\n\n\n Ad blockers.<\/strong> Over 30% of desktop users run ad-blocking software. Many ad blockers prevent the Insight Tag from loading at all. Those visits and conversions are invisible to LinkedIn.<\/p>\n\n\n\n Cross-device gaps.<\/strong> A VP of Engineering clicks your LinkedIn ad on their phone during a commute. Two weeks later, they request a demo from their work laptop. Different device, different browser, different cookie. LinkedIn cannot connect the two events through the Insight Tag alone.<\/p>\n\n\n\n LinkedIn launched its Conversions API (CAPI) in January 2023, following Meta and TikTok into server-side tracking. Instead of relying on the browser to fire events, CAPI lets you send conversion data directly from your server to LinkedIn’s servers. The data includes hashed personally identifiable information — email address, first name, last name, company — which LinkedIn matches against its member database.<\/p>\n\n\n\n The advantage is straightforward: server-side events are not affected by cookie expiration, ad blockers, or cross-device fragmentation. If you capture a prospect’s email at form submission and send that event server-side to LinkedIn, the conversion gets attributed even if the prospect originally clicked from a different device or browser.<\/p>\n\n\n\n CAPI also supports offline conversions. A prospect who clicked a LinkedIn ad three months ago and just closed a $50,000 annual contract through your sales team? You can send that closed-won event to LinkedIn through CAPI. The platform learns which campaigns drive real revenue, not just form fills.<\/p>\n\n\n\n LinkedIn’s default attribution settings are a 30-day click window and a 7-day view window. This means a conversion must happen within 30 days of a click (or 7 days of an impression) for LinkedIn to credit the ad.<\/p>\n\n\n\n You can adjust these. Standard Insight Tag conversions offer windows of 1, 7, 30, or 90 days. Website Actions conversions extend the options to 30, 60, 90, or 180 days. And if you use the Conversions API with CSV file uploads for specific conversion types (Submit Application, Purchase, Add to Cart, Qualified Lead, Lead), LinkedIn supports a lookback window of up to 365 days.<\/p>\n\n\n\n Here is why this matters for SaaS: the median B2B SaaS sales cycle is 84 days for mid-market deals. Enterprise deals routinely take 6 to 9 months. If you leave LinkedIn’s window at 30 days, every deal that takes longer than a month to close — which is most of them — shows up as an “organic” or “direct” conversion in your CRM. LinkedIn gets no credit. Your ad performance reports look worse than reality. And you make budget decisions based on incomplete data.<\/p>\n\n\n\n The attribution problem on LinkedIn is not a bug in LinkedIn’s software. It is a structural mismatch between how LinkedIn measures and how B2B SaaS sells.<\/p>\n\n\n\n A SaaS company selling a $30,000\/year platform to mid-market buyers will typically see 60 to 120 days between first touch and signed contract. Enterprise deals at $100,000+ stretch to 180 days or more. LinkedIn’s 30-day default window captures the first act of a three-act play and then goes dark.<\/p>\n\n\n\n The math is unforgiving. If your sales cycle is 90 days and your attribution window is 30 days, roughly two-thirds of your conversion timeline falls outside what LinkedIn can see. Every deal that closes in month two or three registers as zero return on your LinkedIn spend. Your CFO looks at the numbers and asks why you are spending $35 per CPM on a channel that appears to produce nothing. The problem is not the channel. The problem is the measurement.<\/p>\n\n\n\n Let’s imagine a VP of Engineering who clicks a LinkedIn Sponsored Content post in January. They do not fill out the form. They bookmark the page. Six weeks later they bring it to their team. Eight weeks after that, the procurement lead submits a demo request from a completely different device. The deal closes in April. Under LinkedIn’s 30-day window, that $40,000 contract shows up as direct traffic. LinkedIn gets zero credit. I’ve seen this exact pattern create budget decisions that kill profitable channels — not because the channel stopped working, but because the measurement expired before the sale closed.<\/p>\n\n\n\n Gartner’s research on complex B2B purchases finds the typical buying group includes 6 to 10 decision-makers, with each person independently gathering 4 to 5 pieces of information before sharing findings with the group (Gartner, Win More B2B Sales Deals, 2018<\/a>). A typical buying committee for a $50,000 SaaS contract might include a VP of Marketing who first saw the ad, a Director of Operations who attended the webinar, a procurement lead who compared pricing, and a CFO who approved the budget.<\/p>\n\n\n\n LinkedIn’s attribution tracks the individual member who clicked. It does not track the buying committee. If the VP of Marketing clicked the ad but the Director of Operations filled out the demo form, LinkedIn may not connect the two. And if the actual purchase decision happens in a boardroom six weeks later, no tag or pixel is present to record it.<\/p>\n\n\n\n In most B2B journeys, LinkedIn sits at the top of the funnel. It is where decision-makers first encounter your brand — through a Sponsored Content post in their feed, a Message Ad in their inbox, or a retargeting display ad. But the actual conversion usually happens through a different channel: a Google search for your brand name, a direct visit to your pricing page, an email reply to a nurture sequence.<\/p>\n\n\n\n Under last-touch attribution — which is what most CRMs default to — Google or email gets all the credit. LinkedIn gets none. Under first-touch attribution, LinkedIn gets credit but only within the attribution window. If the window expires before the deal closes, even first-touch misses it.<\/p>\n\n\n\n This is the fundamental tension. LinkedIn is often the reason a prospect enters your pipeline. But it is rarely the last thing they touch before signing. And most measurement systems only reward the last touch.<\/p>\n\n\n\n B2B SaaS companies commonly run both LinkedIn and Google Ads. Understanding how their attribution systems differ helps explain why LinkedIn performance often looks worse on paper than it actually is.<\/p>\n\n\n\nThe LinkedIn Conversions API<\/h3>\n\n\n\n
Attribution windows: 30-day click, 7-day view, and beyond<\/h3>\n\n\n\n
Why does LinkedIn attribution break for B2B SaaS?<\/h2>\n\n\n\n
<\/figure>\n\n\n\nLong sales cycles outlast the attribution window<\/h3>\n\n\n\n
Multiple stakeholders on a single deal<\/h3>\n\n\n\n
LinkedIn often assists but does not close<\/h3>\n\n\n\n
How do LinkedIn Ads and Google Ads attribution compare?<\/h2>\n\n\n\n
<\/figure>\n\n\n\n
![\"An](\"https:\/\/hyros.com\/updates\/wp-content\/uploads\/2026\/08\/m2-10-click-to-crm-to-closed-won-scaled.png\")
<\/figure>\n\n\n\n