
Your LinkedIn bidding strategy determines how much you pay per click, which segment of your audience sees your ads, and how fast your budget gets spent. For ABM campaigns, the wrong bidding strategy can burn through your budget, reaching companies outside your target list while the right one controls costs and prioritizes your highest-value accounts.
In this guide, I will break down all three LinkedIn ads bidding strategies (manual CPC, cost cap, and maximum delivery) with recommendations from a former LinkedIn employee who built his career on understanding the auction system.
Plus benchmark data from ZenABM’s 2026 Benchmarks Report (based on 211 companies, $5.5M in ad spend, and 161,256 ads) showing which strategies actually deliver results for ABM.
Short on time?
Here’s a quick rundown:

Before choosing a bidding strategy, you need to understand how LinkedIn’s auction works. LinkedIn uses a second-price auction, meaning you pay just enough to beat the next highest bidder, not your full bid. If you bid $10 CPC and the next highest bidder offers $6, you pay approximately $6.01. Your position in the auction is determined by:
Ad Rank = Bid × Ad Relevance Score
This means a higher relevance score lets you win auctions with lower bids. LinkedIn assigns every ad a relevance score from 1 to 10, based on predicted CTR, engagement signals, and post-click performance.
According to B2Linked’s AJ Wilcox, who has managed over $150M in LinkedIn ad spend, the score is recalculated nightly and is only visible indirectly through the Campaign Quality Score column in Campaign Manager.
Here is why this matters tactically: an ad with a relevance score of 8 and a $6.50 bid produces a combined score of 52, beating a competitor bidding $12 with a relevance score of 4 (combined score: 48).
The higher-scoring ad wins the auction and pays less. This is why the same bidding strategy can produce wildly different results for different ads.
Maximillian Herczeg, who spent 2.5 years at LinkedIn before founding Kamrat (a LinkedIn ads consultancy), shared this critical insight during the ZenABM ABM Bootcamp:
Manual bidding basically covers most cases. It’s so good that LinkedIn actually hides it from you.
He revealed that LinkedIn considered removing manual bidding entirely, but kept it because advertisers demanded it.
That last point is worth emphasizing. LinkedIn’s Campaign Manager defaults to maximum delivery bidding when you create a new campaign. Manual bidding is hidden under a “show additional options” dropdown. If you have never changed this setting, you have been running maximum delivery by default.
Manual CPC bidding gives you complete control over your maximum bid per click.
You set the exact amount you are willing to pay, and LinkedIn enters auctions on your behalf up to that amount.
For account-based marketing, control is everything. You are targeting a specific list of companies, and you need your budget reaching those companies efficiently, not being wasted on LinkedIn’s automated optimization.
The consensus among top LinkedIn advertisers is clear.
Natalie Hanson of Jordan Digital Marketing, who has been in paid social since 2015, recommends starting with manual bidding to keep CPCs in check and only switching to automated bidding if spend or scale is an issue.

Another expert echoes this:
“I pretty much only use CPC bidding. LinkedIn algorithm then optimizes for audiences that are more high intent and more likely to actually engage and click.” – Emilia Korczynska, VP Marketing at Userpilot
This approach aligns with what ZenABM’s benchmark data shows.
The median CPC across 211 ABM companies was $11.04, but top performers consistently achieved lower CPCs through disciplined manual bidding combined with higher relevance scores.
The key insight from the data: clicks and CTR do not correlate with pipeline generation. Impressions do (ρ = 0.445). So you want manual bidding to control costs while maximizing impression volume across your target account list.
Maximillian Herzeg’s approach is the most systematic I have seen:
For context, The B2B House (Tamarind) recommends the opposite for brand-new campaigns: bid 20% higher than LinkedIn’s recommendation to frontload data collection.

Their logic is that you want to win auctions early, gather performance data fast, and then optimize down.
Both approaches work; the difference is whether you prioritize cost control (Herczeg) or speed of learning (B2B House). For ABM, where you typically have smaller audiences and tighter budgets, I recommend Herczeg’s floor-finding approach:
If you get bad results and hit the daily budget, increase the bid by a lot.

But he also shares an important caveat:
What manual bidding does is it bids for a subset of your audience. That means you get high frequency but low audience penetration if you bid too low.
This trade-off is actually useful for ABM. By bidding lower, you can reach the most engaged segment of your audience, the people LinkedIn’s algorithm predicts are most likely to click. For cold ABM campaigns, this is a feature, not a bug.

My approach aligns with starting low:
Maximillian Herczeg adds one critical setting to avoid here:
Don’t use ‘enable bid adjustments for high clicks’; it limits your control.
This setting lets LinkedIn override your manual bid by up to 45% higher than your initial bid, which defeats the purpose of manual bidding entirely.

Gabriel Ehrlich from Remotion also shares a useful lead gen hack:
With lead generation campaigns, you can also try to bid for clicks, because clicks are usually cheaper than leads, because everyone bids for leads.
This can dramatically reduce your cost per lead.
One more tip from the data: ZenABM’s benchmarks show that Thought Leader Ads (TLAs) deliver a median CPC of just $2.29, compared to $13.23 for single image ads and $15.61 for video ads. If you are running manual CPC bidding, TLAs give you roughly 7x more clicks per dollar than video.
That is a massive efficiency lever for ABM, especially when you need frequency against a target account list.
You can track how TLA engagement translates to account-level pipeline inside ZenABM’s ABM analytics dashboards, which show ROAS, pipeline per dollar spent, and campaign-level performance broken down by ad format.

Maximum delivery bidding lets LinkedIn set your bids automatically to spend your full budget as efficiently as possible (by LinkedIn’s definition of efficient).
You have no control over individual bid amounts.
LinkedIn’s own documentation confirms that maximum delivery campaigns are charged by impressions (CPM), and you cannot set a bid or cost cap.

Maximum delivery optimizes for spending your budget, not for reaching your target accounts efficiently.
Gabriel Ehrlich warns:
If you just doubled [budget], and your CPM went up because of that, then that’s a problem. Maybe you had maximum delivery as your bidding strategy, and if you do that and just add budget, there’s a very decent chance that LinkedIn will waste your budget.
Here’ another important nuance: with maximum delivery, LinkedIn selects the maximum bidding amount you pay, not you. For smaller ABM audiences, this means LinkedIn may overbid for low-value impressions just to exhaust your daily budget.
For ABM, this is particularly risky because:
The data backs this up. According to ZenABM’s 2026 Benchmarks Report, the median CPM for ABM campaigns was $78.30. If you are on maximum delivery with a narrow target account list (say 5,000 to 15,000 people), LinkedIn can push that CPM even higher to exhaust your budget. Manual bidding, by contrast, lets you find the floor price and keep CPMs predictable.

Max Herzeg identifies the single scenario where maximum delivery makes sense:
It can work in combination with thought leader ads and the brand awareness objective. This is the only time I use brand awareness objective and maximum delivery.
He also notes a practical use case:
You can use it if you’re short on time. Say you have to promote a webinar in two weeks. You don’t have time to figure out the manual bid, use maximum delivery, but always keep an eye on the CPM.
I add one more exception: when your audience size is less than 50,000 members.
With very small audiences, manual bids can sometimes be too low to win any auctions at all, and maximum delivery ensures some level of delivery. But monitor your CPMs closely, because small audiences combined with automated bidding is a recipe for inflated costs.
Cost cap bidding lets you set a maximum average cost per result. LinkedIn adjusts bids automatically to try to deliver results at or below your target cost. Unlike maximum delivery, you retain some control because you define the ceiling. But unlike manual bidding, LinkedIn still decides the actual bid per auction.
LinkedIn’s own documentation clarifies an important detail: the maximum cost per result you provide is an average, not a hard cap. Campaign Manager tries to stay under it by going after the lowest cost events first, but individual results can exceed your cap as long as the daily average stays close.
The one scenario where a cost cap can add value: warm retargeting campaigns with the Lead Generation objective. When you already know your target CPL and want LinkedIn to optimize delivery within that constraint, the cost cap provides a cost guardrail without requiring daily bid management.
But even then, start with manual bidding for 2-4 weeks to establish your baseline cost. Then test the cost cap with a 10-15% buffer above your historical average.
If you are running retargeting campaigns as part of an ABM program, ZenABM can help you identify which accounts are ready for retargeting based on their engagement score and funnel stage.
ZenABM’s customizable ABM stages (identified, aware, interested, selecting, won) let you segment accounts by engagement level, so you only retarget accounts that have shown genuine interest in your ads.
This tighter audience definition makes cost cap more predictable because LinkedIn has a smaller, warmer pool to optimize against.




CPM (cost per thousand impressions) bidding is available for certain campaign objectives. Instead of paying per click, you pay per impression.
When to consider CPM: If your ads consistently achieve over 1% CTR, switching from CPC to CPM bidding can lower your effective cost per click. At 1% CTR with a $78 CPM (the median for ABM campaigns from ZenABM’s dataset), your effective CPC drops to $7.80, significantly below the $13.23 median CPC for single-image ads on manual bidding.
This is an advanced optimization that only works for high-performing creatives. Do not start with CPM bidding. Earn it by creating ads that hit 1%+ CTR first.
One format where CPM bidding can make particular sense: Thought Leader Ads, which achieve a median CTR of 2.68% according to ZenABM’s benchmark data. At that CTR with a $38.94 CPM (video’s median), the effective CPC is around $1.45. Even at higher CPMs, TLAs often cross the 1% CTR threshold that makes CPM bidding attractive.
Based on performance data from ZenABM’s 2026 Benchmarks Report (211 companies, $5.5M in ad spend) and expert recommendations from the ZenABM ABM Bootcamp:
| Campaign Type | Recommended Bidding | Starting Approach | Key Benchmark |
|---|---|---|---|
| Cold ABM (Website Visits) | Manual CPC | Start 30% below suggested range, increase 10-15% every 2-3 days until 95% budget utilization | Median CPC: $11.04 (ZenABM data) |
| Warm Retargeting (Lead Gen) | Cost Cap or Manual CPC | Use historical CPL as cost cap with 10-15% buffer, or manual with floor-finding approach | Retargeting CTR: 0.9-1.4% (LinkedIn + Edelman study) |
| TLA Awareness | Maximum Delivery | Brand Awareness objective + Maximum Delivery. Monitor CPM daily. | Median TLA CPC: $2.29 (ZenABM data) |
| Lead Gen Forms | Manual CPC (bid for clicks) | “Bid for clicks, not leads. Clicks are cheaper because everyone bids for leads.” | Lead Gen Form conversion rate: 15-20% vs 4-9% for website forms |
| High CTR Ads (1%+) | Consider CPM | Switch to CPM only after proving 1%+ CTR consistently for at least one week | At 1% CTR + $78 CPM = $7.80 effective CPC |
| Video Ads | Manual CPC | Allocate only 10-15% of budget to video. Manual bid to control the $15.61 median CPC. | Median video CTR: 0.24%, CPC: $15.61 (ZenABM data) |
Your bidding strategy cannot overcome a budget-to-audience mismatch.
The budget calculation framework:
Monthly budget = Audience size × Reachable % × CPM × Frequency goal
For cold campaigns, target 30-50% audience penetration per month with a maximum frequency of 4 impressions per campaign (6-10 total across all campaigns). For warm campaigns, target 70-90% penetration with up to 10 impressions per month.
ZenABM’s benchmark data adds useful context here. The typical company running LinkedIn ABM targets around 6,423 accounts per month with a median monthly spend of approximately $2,700. Companies that increased their target account list alongside their budget saw better pipeline results than those that simply increased spend against the same list. The data showed that budget-to-list ratio matters more than absolute spend.
The formula for calculating ad count per budget: Divide your monthly budget by 30 [daily spend], then divide your daily spend by the cost per click times 3 to 4 clicks. This is the maximum number of ads you can actually afford to run.

Example: $10,000 monthly / 30 = $333 daily / $8 CPC = 42 clicks per day / 4 clicks per ad = around 10-12 ads maximum.
For more on budgeting: How to estimate ABM campaign budget
These are the bidding mistakes I see most often in ABM campaigns:

Choosing a bidding strategy is not a one-time decision. Your optimal bid changes as your audience sees more of your ads, as competitors enter and exit auctions, and as your creative quality evolves.
Here is a practical monitoring cadence:
Daily (first 7 days): Check budget utilization. If below 85%, your bid is too low. Increase by 10-15%. If you hit the daily budget by early afternoon, your bid may be too high or your audience too small.
Weekly: Review CPMs and CPCs by campaign. Compare to benchmarks (median CPC: $11.04, median CPM: $78.30 for ABM). Check frequency per campaign. If above 4 impressions per user per week on a single campaign, consider lowering your bid to broaden reach.
Monthly: Evaluate pipeline per dollar spent, not just cost per click. ZenABM’s ABM analytics dashboards let you compare campaign performance between time periods (this month vs. last month, this quarter vs. same time last quarter) and show deduplicated revenue attribution per ABM campaign. If a higher-CPC campaign is generating more pipeline per dollar than a lower-CPC one, the higher bid was the right call.
Quarterly: Reassess your bidding strategy entirely. If your ads have matured and are hitting 1%+ CTR consistently, test switching from manual CPC to CPM. If your audience is saturated and frequency is climbing, add new creatives before adjusting bids.
The key principle: your bidding strategy should evolve with your data. Tools like ZenABM’s AI chatbot let you query your LinkedIn ad and ABM data in plain language (“Which accounts moved from Interested to Selecting this quarter?” or “What is my pipeline per dollar spent across campaigns?”), making it faster to spot bid optimization opportunities without exporting CSVs.



For most ABM teams, manual CPC bidding is still the strongest default. It gives you tighter control over spend, works better on smaller target account lists, and lets you discover the floor price of your audience instead of letting LinkedIn bid aggressively on your behalf. Maximum delivery and cost cap have their place, but only in narrower situations where speed, retargeting structure, or objective-specific tradeoffs justify the loss of control.
The bigger point, though, is that bidding strategy should never be judged by CPC alone. What matters is whether your spend is reaching the right accounts, moving them through the funnel, and generating pipeline efficiently. That is where ZenABM becomes genuinely useful. Its company-level engagement tracking, CRM sync, customizable ABM stages, deduplicated revenue attribution, pipeline-per-dollar dashboards, and Zena AI chatbot help you evaluate LinkedIn bidding decisions based on business outcomes, not just platform metrics.
If you want to see which bidding strategy is actually driving account progression and revenue, try ZenABM free or book a demo.
Some frequently asked questions about LinkedIn ads bidding strategies and their answers:
Manual CPC bidding is the best LinkedIn bidding strategy for ABM campaigns. It gives you maximum control over costs and lets you find the floor price for your audience. Start by bidding 30% below LinkedIn’s suggested range, then increase gradually until your daily spend reaches 95% of your daily budget. Former LinkedIn employee Max Herzeg confirms: “Manual bidding basically covers most cases.” ZenABM’s benchmark data from 211 companies shows the median CPC for ABM campaigns is $11.04, so use that as a reference point when setting your manual bids.
Avoid maximum delivery for most ABM campaigns. It optimizes for spending your budget, not for reaching your target accounts efficiently. Maximum delivery campaigns are charged by CPM, and you cannot set a bid or cost cap. The only exception is combining maximum delivery with Thought Leader Ads on the Brand Awareness objective, where lower CPMs can benefit reach-focused campaigns. For all other ABM use cases, manual CPC bidding delivers better results at lower cost.
Start 30% below LinkedIn’s suggested bid range and increase by 10-15% every few days until your daily spend reaches 95% of your daily budget. According to ZenABM’s 2026 benchmarks, the median CPC across ABM campaigns is $11.04, with single image ads at $13.23 and TLAs at just $2.29. The right bid depends on your audience size, competition, ad format, and ad relevance score. For context, LinkedIn’s average CPC ranges from $5 to $12 depending on industry and targeting specificity.
Use cost cap bidding for warm retargeting campaigns with the Lead Generation objective, where you have a clear target CPL from previous manual bidding campaigns. Set your cost cap 10-15% above your historical average CPL. Keep in mind that LinkedIn treats your cost cap as an average target, not a hard limit, so individual results may exceed your cap. Do not use cost cap as your first bidding strategy; always establish a manual bidding baseline first.
LinkedIn uses a second-price auction where you pay just enough to beat the next highest bidder, not your full bid. Your Ad Rank equals Bid × Ad Relevance Score (scored 1-10). A higher relevance score (based on predicted CTR and engagement) lets you win auctions with lower bids. LinkedIn recalculates this score nightly. This is why improving ad creative is as important as adjusting your bidding strategy. Ads scoring 7-10 receive lower auction prices and better delivery, while ads scoring below 4 can see effective CPC double.
Based on ZenABM’s 2026 benchmarks (211 companies, $5.5M in ad spend), the median CPC across all ABM campaigns is $11.04. Broken down by ad format: single image ads average $13.23, video ads average $15.61 (the most expensive per click), and Thought Leader Ads average just $2.29 (the cheapest). A “good” CPC depends on your campaign objective, but if your single image ads are consistently below $11, you are outperforming the median.
Do not judge your bidding strategy by CPC alone. ZenABM’s data shows that pipeline per dollar spent has near-zero correlation with CPC, CTR, or CPM. Instead, measure pipeline generated relative to ad spend, account stage progression (how many accounts moved from “identified” to “interested” or “selecting”), and influenced revenue per campaign. ZenABM tracks all of these metrics at the account level, with deduplicated revenue attribution, so you can evaluate your bidding strategy based on business outcomes rather than vanity metrics.