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LinkedIn B2B Playbook

Operational rules for LinkedIn Ads: bidding, audience sizing, scaling triggers, benchmarks, and format-specific tactics. LinkedIn is the precision channel — highest-quality B2B targeting at the highest cost, so the operating discipline is about not wasting that precision.

Contents

• Bidding progression
• Audience sizing rules
• Job functions vs. job titles
• Audience splitting rules
• Penetration-based scaling
• Benchmarks by funnel stage
• Thought leader ads (TLAs)
• Campaign group build order
• Format notes (document, conversation, CTV)
• Retargeting setup (non-retroactive!)
• Account audit shortlist

Bidding progression

1. Week 1: launch on automated bidding / maximum delivery. Don't touch it — you're buying CPC data.
2. Week 2+: switch to manual CPC set ~20% below the average CPC the automated phase produced. This reliably cuts CPC without killing delivery.
3. Exceptions: small retargeting/ABM audiences stay on automated (manual underdelivers on small pools); reset to automated for a week whenever you change objective; audiences under ~10K may never spend their full budget at any bid.

Scheduling note: LinkedIn's ad day resets at UTC midnight. Professional activity peaks weekday mornings–early afternoon in the audience's timezone; dayparting there stretches limited budgets.

Audience sizing rules

• Cold prospecting: 50K–300K members. Minimum ~15K per cold campaign.
• Too-narrow failure mode: hyper-narrow audiences spike CPMs several-fold and stall delivery entirely — budget won't spend at any bid. If it's not spending, the audience is usually too small, not the bid too low.
• Tiny TAM (<~30K addressable): skip the TOF/BOF split — run one campaign that saturates the whole audience with all funnel layers.
• Retargeting: audiences of roughly 1K–5K per segment (site visitors, 50%+ video viewers) are workable; below ~300 won't deliver.

Job functions vs. job titles

Title targeting is precise but small and expensive. Job function + seniority targeting typically triples the addressable audience with materially cheaper reach at similar engagement — at the cost of a weekly "negative title" exclusion pass for the first ~2 months (like negative keywords: exclude irrelevant titles as they show up in demographics).

Platform gotchas:

• Job-title targeting and seniority targeting are mutually exclusive — you can't stack them. Entry-level exclusions only work under function/seniority targeting.
• The Business Development function includes many CEOs, CMOs, and managing directors. Don't blanket-exclude BD if you sell to the C-suite — filter with seniority exclusions instead.
• Leave Audience Expansion OFF (it quietly spends a meaningful share of budget on out-of-ICP members) and Audience Network OFF for B2B lead gen.

Audience splitting rules

Split priority: intent > persona > region/company size > seniority.

• Region: keep the US separate (most expensive market — grouped with cheaper regions, it eats the budget). DACH needs localized ads; UK/Canada/Australia group fine; Nordics/Netherlands run fine in English. Never group an expensive market with small ones.
• Company size: segment by employee count (not revenue — LinkedIn's revenue data is estimated). Start with two bands, not three. Left unsegmented, LinkedIn over-serves the extremes (small companies and very large ones) and underserves mid-market — splitting forces fair distribution.

Penetration-based scaling

Audience penetration (reached ÷ audience size) is the scaling trigger, not spend:

• 30-day penetration <25% → room to raise budget on this audience.
• 25–35% → hold; let penetration accumulate before adding spend.
• ~35%+ = healthy saturation → scale horizontally (new audiences), not vertically.
• Expect diminishing returns: doubling budget grows penetration ~50–70%, not 100%.
• One campaign at 35%+ penetration beats three campaigns at 12% each — consolidate before multiplying.
• Spend rising but reach flat (frequency climbing)? Either competitors outbid you or ad quality is dragging your auction price. Strong ads → raise budget/bids; weak ads → fix creative first, more money just buys the same people again.

Benchmarks by funnel stage

Practitioner-reported B2B SaaS ranges — recalibrate on your own account. Careful: for engagement-objective and thought-leader campaigns, LinkedIn's reported "CTR" includes social actions; judge traffic on click-through to landing page (CTRTLP) specifically.

Other useful bars: lead-gen form fill rate >8% (below = form too long, offer weak, or audience too cold); cost per SQL should stay under ~$500 (enterprise ACVs tolerate $300–500+ CPLs; SMB needs $50–150); video view rate >40%, completion 8–15% for horizontal; expect return data to lag 3–6 months.

Thought leader ads (TLAs)

Ads promoted from a person's profile rather than the company page — currently the platform's biggest efficiency arbitrage:

• TLAs typically deliver ~3–6× the CTR of company-page ads at a fraction of the CPC.
• Non-employee/creator TLAs often outperform employee TLAs — partnerships with niche creators are worth 30–50% of TLA budget if available.
• Organic-first pipeline: posts that hit ~2–3% organic CTR are your TLA candidates — the audience already voted.
• The 72-hour edit: organic reach concentrates in a post's first ~3 days. Let it run organic, then edit the post to add the CTA/product mention and promote it as a TLA — you capture organic credibility first, then convert it to demand gen.
• Auction insight: single-image ads face the most auction competition. Document, conversation, and TLA formats often buy cheaper reach purely because fewer advertisers use them — format diversification is a bidding tactic, not just creative variety.

Campaign group build order

Add groups in ROI order, funding each before the next: 1. Product value (direct response on your core offer) → 2. Remarketing → 3. Content (only content that can't be consumed in-feed — it must earn the click) → 4. Social proof (case studies, testimonials) → 5. Thought leadership (slowest payback, add last). Group-budget optimization tends to favor cheap audiences and video — don't mix enterprise with SMB or static with video in one group.

Format notes

• Document ads: always 1080×1350 portrait (4:5). 5–7 slides: hook → pain → shift → solution → differentiators → CTA. The classic mistake is making the "solution" slide generic category requirements and the "differentiator" slide a rehash — slide N must add what slide N-1 couldn't. Big standalone stat slides (one number, source small) carry these.
• Conversation ads: subject 2–4 words; 3–5 short lines per message; specific numbers beat vague benefit claims; lead with a soft CTA ("see how it works") over "book a demo"; route the primary CTA to a Lead Gen Form, not a scheduling link. Benchmarks: 35–50%+ open rate, 2–5% CTR.
• CTV: Brand Awareness objective only, auto-bid only, ~$50/day minimum, limited geos. Completion metrics are meaningless (forced view). Only worth it above roughly $15K/month total spend — below that it cannibalizes measurable-signal budget.

Retargeting setup (non-retroactive!)

LinkedIn retargeting audiences only start collecting from the moment you create them. Create every retargeting audience you might ever want (site visitors, video viewers, ad engagers, lead-form openers, company page visitors) before launch — data you didn't capture is gone permanently.

Cross-channel: tag paid-search traffic with UTMs and build LinkedIn (and Meta) retargeting audiences from it — see the ABM playbook for the mechanic.

Account audit shortlist

The highest-frequency findings when auditing LinkedIn accounts, in order: Audience Expansion left on · Audience Network left on · audiences too small to deliver · fewer than 4 active ads per campaign · campaigns under ~10 results/week (starved — consolidate) · stale creative (3+ months old) · no retargeting audiences created · lead quality never reconciled against CRM · brand/geo budget mixing · everything on automated bidding forever.

Framework lineage: adapted (re-expressed and restructured) from practitioner playbooks, notably Ivan Falco's ads-skills. Benchmarks are practitioner-reported starting points — recalibrate against your own account.