LinkedIn Ads Funnel: Cold to Close in 192 Days
The average B2B buying journey takes 192 days and 62+ touchpoints — yet most LinkedIn Ads accounts run a single campaign layer asking cold audiences to book a demo. At Baker, we’ve built full-funnel LinkedIn architectures for B2B SaaS clients ranging from $3,000 to $50,000+ monthly budgets, and the pattern is clear: companies that treat LinkedIn as a three-layer system generate pipeline, while single-layer approaches generate wasted spend. This guide covers Baker’s 3-Layer LinkedIn Architecture, the Sushi Conveyor Belt retargeting framework, and the exact campaign types, benchmarks, and audience rules that produced 350+ customers in 15 months.
Why LinkedIn Ads Need a Full-Funnel Approach (The 192-Day Reality)
According to Adam from Fibbler, the average B2B buying journey spans 192 days and requires 62+ touchpoints before a prospect becomes a customer [1]. Buyers don’t see your ad and book a demo — they see ads over weeks and months, remember your brand, then search for your company name when they’re ready to evaluate solutions.
This has a critical implication: only approximately 5% of your cold audience is in-market at any given time [2]. Running demo-focused or book-a-call ads to cold traffic means 95% of your audience scrolls past with zero recognition. You’re spending your entire budget speaking to the 5% while ignoring the 95% who will enter the market over the coming months.
Multi-expert consensus (Adam from Fibbler, AJ Wilcox from B2Linked): LinkedIn is a pipeline influencer, not a last-click lead gen channel [1][3]. It influences revenue across the entire buying journey but rarely gets last-click credit. According to Adam, only 0.04% of LinkedIn users click on ads — over 99% of your audience is invisible if you’re measuring clicks alone [2].
| Metric | Reality |
|---|---|
| Average B2B buying journey | 192 days, 62+ touchpoints [1] |
| Cold audience currently in-market | ~5% at any time [2] |
| LinkedIn users who click ads | 0.04% [2] |
| Touchpoints before shortlisting | 62+ across channels [1] |
The solution is a full-funnel architecture that builds brand recall across the entire 192-day journey — not a single campaign hoping to catch the 5% who happen to be ready today.
Baker’s 3-Layer LinkedIn Architecture: Cold, Retargeting, High-Intent
Multi-expert consensus (Adam from Fibbler, AJ Wilcox from B2Linked) defines three distinct funnel layers, each with different objectives, ad formats, and success metrics [1][3][4].
According to AJ Wilcox from B2Linked, this funnel should run as an always-on machine — not campaign bursts [5]. Stage 1 runs continuously (refreshing ads over time), Stage 2 retargets Stage 1 engagers, and Stage 3 retargets Stage 2 engagers. By Stage 3, prospects have had 2+ meaningful interactions and are warm enough for a direct conversion ask.
The architecture at a glance
| Layer | Audience | Goal | Primary Formats | Key Metric |
|---|---|---|---|---|
| Cold | 20K–50K ICP [1] | Get on the radar | TLAs, image ads, text ads | Engagement CTR, brand recall |
| Retargeting | 90-day website/page/ad visitors [1] | Connect brand to problems | TLAs (product), image ads (USP), text ads | CTR >1%, LP clicks |
| High-Intent | Multi-engagers from retargeting [1] | Convert to pipeline | Conversation Ads, action-based retargeting | 50% open rate, 5%+ clicked-open |
Critical rule: Exclude retargeting audiences from their source stage [5]. If Stage 1 creates the retargeting audience for Stage 2, exclude that audience from Stage 1 campaigns. Without this, prospects keep seeing all previous stages instead of graduating through the funnel.
Cold Layer: Text Ads, Image Ads, and TLAs
The cold layer serves one purpose: getting remembered. Not selling, not converting — planting your brand in the memory of future buyers so that when they enter the market months later, your name is already on their mental shortlist.
According to Adam from Fibbler, the cold layer operates with broad targeting (approximately 20K–75K audience), manual bidding at roughly two-thirds of LinkedIn’s recommended bid, and three complementary campaign types [1][4]:
Text ads: near-free impressions
According to Adam from Fibbler, text ads on the right rail generate almost no clicks — which means near-free impressions for constant brand visibility [6]:
| Layer | Impressions | Cost | Timeframe |
|---|---|---|---|
| Cold | 19,000 | $0 | 7 days [6] |
| Retargeting | 15,000–16,000 | $11 | Comparable period [6] |
Run text ads in both cold and retargeting layers simultaneously. They cost almost nothing and ensure your brand appears constantly, reinforcing what your primary campaigns are doing.
According to Cole from InterTeam Marketing, spotlight ads offer a similar near-free impression tactic for desktop users: 86,000 impressions for $90 over 3 months [7]. Spotlight ads don’t generate direct clicks, but they measurably lift conversion rates on your other campaigns by adding another touchpoint.
Image ads: distinctive brand assets
Image ads carry your visual brand identity into the feed. According to Adam from Fibbler, benchmark CTRs for image ads are [6]:
- Good: >0.7%
- Great: >1%
- By layer: >0.8% cold, >1% retargeting
According to Adam, distinctive brand assets (logo, colors, visual style, mascot) must appear in every single ad [8]. Consistency over time equals recall. People remember visual patterns, not individual headlines.
Thought Leader Ads: highest-engagement format
TLAs sponsor organic posts from personal profiles and consistently outperform every other LinkedIn format. According to Adam from Fibbler, regular image ads achieve approximately 1% CTR while TLAs hit 13%+ — a 13x multiplier [9]. For the complete TLA playbook, see our guide on Thought Leader Ads strategy.
In the cold layer, TLA content should be relevant to the audience’s professional problems — not product pitches. Product-focused TLAs belong in the retargeting layer.
The “Sushi Conveyor Belt” Retargeting Framework
Most LinkedIn advertisers build sequential retargeting flowcharts: if the prospect watches Ad 1, show them Ad 2, then Ad 3. According to Gonzalo from AdConversion, this is the “retargeting trap” — it fails because it assumes you’re right about the content sequence, that the prospect consumed the previous ad, and that your audience won’t shrink to zero by step three [10].
Baker’s recommended alternative is the Sushi Conveyor Belt framework, coined by Gonzalo at AdConversion: instead of a prescribed sequence, put four content themes in front of your 90-day retargeting audience simultaneously and let users self-select what resonates [10].
The four content themes
| Theme | What It Does | Examples |
|---|---|---|
| Product Marketing | Shows how you solve the problem | UI walkthroughs, wow-moments from sales demos, integrations |
| Social Proof | Validates your solution with real users | Testimonials, case studies, users defending the product |
| Thought Leadership | Builds authority and trust | Calculators, industry reports, podcasts |
| Offer/Demo | Captures people ready to buy | Free trial offers, demo booking, pricing page |
Why this works better than sequential retargeting
The Sushi Conveyor Belt is action-based, not assumption-based. When a user clicks on Product Marketing, Social Proof, or Thought Leadership content, they’ve generated an explicit intent signal. Move them to the high-intent retargeting layer and show them Offer/Demo ads.
This is the key insight: you can only be direct (“On the fence about [Product]?”) when retargeting is based on verified action — a user who visited your pricing page or clicked a case study — not on an assumption about where they “should” be in your sequence [10].
Baker applies the Sushi Conveyor Belt across every B2B SaaS account we manage. The framework eliminates the guesswork of sequential retargeting while giving each prospect a personalized path through your content. A Baker client in enterprise SaaS saw retargeting engagement rates increase significantly after replacing a rigid 4-step sequence with simultaneous theme delivery.
High-Intent Layer: Conversation Ads and Pipeline Acceleration
The high-intent layer targets the smallest, warmest group — people who have engaged with your retargeting content multiple times and are showing buying signals.
Conversation Ads: 50% open rates in the inbox
According to Adam from Fibbler, Conversation Ads deliver a personal message from a real person (typically the founder or a senior executive) directly to the prospect’s LinkedIn inbox [6]:
| Metric | Benchmark | Source |
|---|---|---|
| Open rate (retargeting) | 50% | Adam, Fibbler [6] |
| Open rate (average) | 30–40% | Joseph Hill, Revenu [11] |
| Open rate (strong subject lines) | 50–70% | Joseph Hill, Revenu [11] |
| Cost per open (retargeting) | ~$0.20 | Adam, Fibbler [4] |
| Clicked-open rate | ~5%, target 6–7% | Adam, Fibbler [6] |
Half of recipients read your positioning and messaging — a level of attention that no feed-based ad format can match.
According to Sylvia Perez from AdConversion, use remarketing conversation ads that reference the prospect’s previous behavior — mention the content they engaged with, the page they visited, or the channel they came from [12]. This contextual personalization drives higher conversion rates than generic inbox messages.
Pipeline acceleration: ads against open opportunities
According to Sylvia Perez from AdConversion, the highest-ROI campaign type on LinkedIn is pipeline acceleration — running ads against deals already in your sales pipeline [12]:
- Setup: Connect CRM to LinkedIn via Zapier. Trigger: deal stage marked “qualified to buy” → push company to a LinkedIn audience automatically.
- Content strategy: Two pillars — (1) social proof campaigns promoting testimonials and case studies, and (2) objection campaigns addressing the sales team’s most common blockers.
- Budget: Requires minimal spend because the audience is tiny (limited to your open pipeline).
- Result: Improves win rates and shortens sales cycles from the bottom up.
Audience Setup: When to Cluster vs Segment
One of the most common mistakes is over-segmenting retargeting audiences when your traffic doesn’t support it. Multi-expert consensus (Gonzalo and Silvio from AdConversion) defines two approaches based on traffic volume [10]:
Startup / Low traffic: cluster everything
Combine website visitors + ad engagers + video views + company page visits into a single 90-day audience. Scale to at least 50,000 so you can layer job function and seniority filters on top. Deliver all four Sushi Conveyor Belt themes simultaneously to this combined audience.
All three retargeting sources use 90-day windows [6]:
- Website traffic — 90 days
- Company page visits — 90 days
- Ad engagement (all cold layer ads) — 90 days
Enterprise / High traffic: segment by time window
With enough traffic, graduate prospects through tighter windows [10]:
| Window | Content Themes | Notes |
|---|---|---|
| 30-day | Product Marketing + Social Proof only | Most recent visitors, highest intent |
| 90-day | All four themes | Core retargeting audience |
| 180-day | Mostly Thought Leadership | Long-term nurturing |
Critical: Exclude each shorter window from the longer one. 30-day visitors should not also receive 90-day ads — they’ve graduated to a more direct message.
Apply the same exclusions as cold
Regardless of clustering approach, retargeting audiences need the same exclusion lists as your cold campaigns [6]:
- Competitors
- Previous employers
- Existing sign-ups and customers
- Enterprise companies outside your ICP
According to Mark from Winbox, your exclusion list typically ends up longer than your inclusion list — LinkedIn’s targeting leaks enough that aggressive exclusions are required to keep audiences clean [13].
Case Study: Demand Strategy Patience at GetAccept
According to Adam from Fibbler, when GetAccept switched from lead-gen-focused campaigns to a full-funnel demand strategy, the initial result was a 30% lead volume drop [8]. The team panicked and wanted to revert to direct response.
They stuck with it.
Over the following months, GetAccept saw more high-intent demo requests, more deals, more pipeline, and more revenue from marketing. The key insight: short-term conversion optimization means giving up before the compounding effect kicks in. LinkedIn results compound over weeks and months, not days.
The numbers tell the full story of this approach. With the 3-layer architecture running at $5,000–$10,000/month, Adam’s own company Fibbler acquired 350+ customers in 15 months [6][14]. Branded search grew 5x in 12 months [8] — proof that the awareness investment was driving real demand, not just impressions.
| Metric | Result |
|---|---|
| Customers acquired | 350+ in 15 months [6] |
| Monthly spend | $5,000–$10,000 [14] |
| Branded search growth | 5x in 12 months [8] |
| Initial lead volume drop | 30% at GetAccept [8] |
| Long-term result | More demos, deals, pipeline, revenue [8] |
| Scalability | Same structure works at $50K/month [14] |
Sources
- Adam, Fibbler — “10 Years of LinkedIn Ads Knowledge in 10 Minutes”
- Adam, Fibbler — “7 Common LinkedIn Ads Mistakes”
- AJ Wilcox, B2Linked — “How Much Should You Budget for LinkedIn Ads?”
- Adam, Fibbler — “B2B Strategies: LinkedIn, Content, and Demand Gen”
- AJ Wilcox, B2Linked — “LinkedIn Evergreen Funnels: Always-On Multi-Stage Setup”
- Adam, Fibbler — “LinkedIn Ads Strategy for B2B: 0 to 200 Customers”
- Cole, InterTeam Marketing — “LinkedIn Spotlight Ads Setup and Benchmarks”
- Adam, Fibbler — “10 Years of LinkedIn Ads Knowledge” (GetAccept case study, branded search data)
- Adam, Fibbler — “LinkedIn Thought Leader Ads: Full Step-by-Step Tutorial (2026)”
- Gonzalo and Silvio, AdConversion — “The B2B SaaS Retargeting Trap (and What to Do Instead)”
- Joseph Hill, Revenu — “LinkedIn Conversation Ads: The Complete Playbook”
- Sylvia Perez, AdConversion — “B2B SaaS Advertising Right Now” and “LinkedIn Pipeline Acceleration”
- Mark, Winbox — “LinkedIn Ads Pitfalls and Settings to Change”
- Adam, Fibbler — “How I Grew My SaaS to 350+ Customers With LinkedIn Ads”
FAQ
- How long is the average B2B buying journey on LinkedIn?
- According to Adam from Fibbler, the average B2B buying journey takes 192 days and involves 62+ touchpoints. Buyers don't see a single ad and book a demo — they see ads over weeks and months, remember your brand, then search for you when they're ready to buy. Only approximately 5% of your cold audience is in-market at any given time, which is why demo-focused ads on cold audiences underperform awareness campaigns.
- What is the best LinkedIn Ads funnel structure for B2B SaaS?
- Multi-expert consensus (Adam from Fibbler, AJ Wilcox from B2Linked) recommends a 3-layer always-on architecture: Cold layer (Thought Leader Ads, image ads, text ads for near-free impressions), Retargeting layer (product-focused TLAs, image ads showing USP, 90-day audiences), and High-intent layer (Conversation Ads in the inbox with 50% open rates). Each layer feeds the next, with audience exclusions ensuring prospects graduate through the funnel.
- What is the Sushi Conveyor Belt retargeting framework?
- The Sushi Conveyor Belt, developed by Gonzalo at AdConversion, replaces sequential retargeting flowcharts with 4 simultaneous content themes shown to a 90-day audience: Product Marketing (UI walkthroughs), Social Proof (testimonials, case studies), Thought Leadership (reports, calculators), and Offer/Demo (direct response). Users self-select what interests them, and clicking on any of the first three themes generates an intent signal that triggers high-intent retargeting.
- How much do LinkedIn text ads cost?
- According to Adam from Fibbler, text ads on LinkedIn are essentially free impressions. In cold campaigns, text ads generated 19,000 impressions for $0 in 7 days. In retargeting, they delivered 15,000–16,000 impressions for just $11. According to Cole from InterTeam Marketing, spotlight ads achieved 86,000 impressions for only $90 over 3 months. These formats serve as near-free brand reinforcement alongside your primary campaigns.
- Should I segment my LinkedIn retargeting audience by time window?
- It depends on your traffic volume. According to Gonzalo and Silvio at AdConversion, startups and low-traffic accounts should cluster everything — website visitors, ad engagers, video views — into a single 90-day audience of at least 50,000. Only enterprise accounts with high traffic should segment by time window: 30-day (product + social proof only), 90-day (all four content themes), and 180-day (mostly thought leadership), with exclusions between each tier.
- What results can I expect from a full-funnel LinkedIn Ads strategy?
- According to Adam from Fibbler, this 3-layer architecture produced 350+ customers in 15 months at $5,000–$10,000/month spend, and the same structure scales to $50,000/month without modification. Branded search grew 5x in 12 months. However, expect a transition period: at GetAccept, switching to a demand strategy initially caused a 30% lead volume drop before producing more high-intent demos, deals, pipeline, and revenue.
- How do I prevent retargeting audience pollution on LinkedIn?
- Exclude retargeting audiences from their source stage — if Stage 1 creates the retargeting audience for Stage 2, exclude that audience from Stage 1 campaigns. Without this, prospects keep seeing all previous stages instead of graduating through the funnel. According to AJ Wilcox from B2Linked, this exclusion structure is critical for an always-on evergreen funnel. Also avoid boosting irrelevant thought leader content that gets cheap engagement but feeds junk into your retargeting pool.