# Scaling LinkedIn Ads Across More Target Accounts

> LinkedIn ads ABM scaling usually starts with someone adding 500 accounts to the target list and hoping. It does not work like that, and the benchmark data says so. In the ZenABM 2026 report covering 211 B2B companies, moving up a spend tier was not associated with better efficiency. If anything, it trended slightly negative.

Author: Emilia Korczynska
Published: 2026-08-26
Updated: 2026-08-31
Categories: Build & Optimize
Source: https://zenabm.com/blog/linkedin-ads-abm-scaling

---

![Scaling LinkedIn Ads Across More Target Accounts](https://cdn.zenabm.com/media/Gemini_Generated_Image_n4rj4on4rj4on4rj-1-scaled-e1788140784533.png)

LinkedIn ads ABM scaling usually starts with someone adding 500 accounts to the target list and hoping.

It does not work like that, and the benchmark data says so.

In the [ZenABM 2026 report covering 211 B2B companies](/linkedin-abm-benchmarks-report), moving up a spend tier was not associated with better efficiency.

If anything, it trended slightly negative.

So, more money did not buy a better return.

What actually breaks is distribution.

Left alone, a handful of large accounts eat most of your budget, and the accounts you just added never really see your ads at all.

This guide is the fix: how to spread budget evenly across accounts, the simple math that tells you whether to go deeper or wider, how much each account needs, and how to step spend up without watching efficiency fall.

## LinkedIn ads ABM scaling: quick summary

A quick overview:

- Adding accounts is not scaling. Without more budget, every new account just takes a smaller share of the same money.
- In [ZenABM’s 211-company benchmark](/linkedin-abm-benchmarks-report), higher spend tiers were not more efficient, and the trend was slightly negative. Budget alone does not buy performance.
- Impressions [drive pipeline](/blog/abm-performance-audit-claude-code), clicks do not. So scaling means getting enough impressions in front of more of the right accounts.
- Fix distribution before you add a single account. By default a few big companies take most of your budget because they have more people in your target roles.
- If 80 percent of your spend reaches 20 percent of your list, you do not have an [ABM program](/blog/abm-program) at scale, you have a very expensive campaign aimed at a few companies.
- Use two numbers to choose your direction. Penetration is [reach divided by audience](/blog/abm-for-hard-to-reach-audiences) size. Frequency is impressions divided by reach.
- Realistic account penetration on [LinkedIn sits around 10 to 40 percent, so LinkedIn alone will never touch every account](/blog/linkedin-account-based-marketing-what-is-it-strategy-for-2026) on your list.
- Scale in steps and watch pipeline per dollar by segment after each step, rather than doubling budget in one move.
- Your budget caps your ad count: monthly budget divided by 30, divided by cost per landing page click, divided by roughly 4 clicks per ad per day.
- Every audience still needs 300 members to serve, so going wide by splitting into smaller segments can stop delivery entirely.
- [ZenABM](/companies-engagements) shows spend and impressions per named company, which is the only way to see the distribution problem before it costs you a quarter.
- The [ZenABM MCP server ships 15 workflows as slash commands](/mcp), and `/scaling-planner` answers the exact question this article is about: will more budget reach new people or just repeat to the same ones.

## What scaling actually means: deeper or wider

There are only two directions, and mixing them up is the root of most wasted budget.

- **Going deeper** means spending more on the [accounts you already target](/blog/choose-target-accounts-for-abm). You reach more people inside each company and show them ads more often.
- **Going wider** means adding more companies to the [list at a similar spend per account](/blog/clay-for-target-account-list-building-abm).

Those need different budgets and produce different results, so pick one on purpose.

Here is the part that surprises people.

In the [ZenABM benchmark of 211 companies, 161,256 ads, and $5.5M in spend](/blog/linkedin-abm-performance-benchmarks-report-2026), moving up a spend tier was not linked to better efficiency, and the weak trend ran the other way slightly.

![ZenABM chart: higher LinkedIn ad spend tiers show weak negative correlation with pipeline per dollar](https://cdn.zenabm.com/media/ZenABM-Linkedin-ABM-Spend-tier-impact-on-efficiency.png)

The same dataset carries a second finding that changes how you scale: clicks and CTR do not drive pipeline, but impressions do.

That points the whole exercise at one goal. Scaling well means getting a sufficient number of impressions in front of more of the right companies, and keeping them there.

Which is a distribution problem, not a money problem.

## Fix distribution before you add a single account

This is the section I would read twice, because skipping it is why most scaling attempts fail quietly.

LinkedIn does not spread your budget evenly across companies. It spreads it across people.

So if your list of 500 target companies includes one very large enterprise, the people at that one company can absorb a huge share of your spend, simply because there are more of them matching your job titles.

The result is a program where a small number of accounts take most of the budget while the rest of your list barely sees anything.

If 80 percent of your spend reaches 20 percent of your accounts, adding 500 more accounts changes nothing. They join the 80 percent that never really gets reached.

### Step 1: look at spend and impressions per company

You cannot fix what you cannot see, and [Campaign Manager](/blog/track-companies-engaging-with-linkedin-ads) does not show you spend by company.

ZenABM does, because it pulls [company-level engagement straight from the LinkedIn Ads API](/faq/see-companies-engaging-with-linkedin-ads) and attributes impressions, clicks, and spend to named companies.

![ZenABM Companies view showing target accounts with status and engagement scores for ABM campaigns](https://cdn.zenabm.com/media/Companies-view-ZenABM-demo-account--scaled.png)

Sort that list by impressions.

If your top five companies hold a large share of total impressions, you have found your leak.

### Step 2: cap the accounts that are taking too much

[LinkedIn has no native company-level frequency cap](/blog/linkedin-ads-impression-capping), but you can build one.

You create an audience of companies that have already received more than a set number of impressions, then exclude that audience from your ad set.

Those companies stop consuming budget, and delivery shifts to accounts that have not been reached yet.

![LinkedIn Campaign Manager filter for paid impressions by company, the first step in capping ad impressions](https://cdn.zenabm.com/media/Step-1-Linkedin-impression-capping-create-audience-with-custom-paid-impressions-ZenABM-scaled.png)

![LinkedIn Campaign Manager dynamic company list setup excluding accounts over 1,000 impressions for capping](https://cdn.zenabm.com/media/Create-dynamic-audience-exclusing-companies-with-1000-impressions-to-do-LinkedIn-Ads-impression-capping--scaled.png)

![LinkedIn Campaign Manager showing audience generation prompt when adding an exclusion audience to an ad set](https://cdn.zenabm.com/media/Add-exclusion-audience-to-adset-impression-capping-scaled.png)

We walk through the whole build in the [LinkedIn ads impression capping guide](/blog/linkedin-ads-impression-capping).

### Step 3: remove the accounts that will never respond

Some companies take impressions for months and never engage once.

At small scale they are annoying, at large scale they are a serious cost.

ZenABM lets you exclude them from delivery directly, and the `exclude_companies` action does the same thing from an AI agent after you approve it.

![Exclude companies straight from ZenABM's interface](https://cdn.zenabm.com/media/zenabm-exclusions-management-interface.png)

Two skills do this work for you if you have the [ZenABM MCP server](/mcp) connected.

![ZenABM MCP server setup inside Claude Code](https://cdn.zenabm.com/media/zenabm-mcp-server-setup-claude.png)

`/account-engagement` sorts every account into warm, cold, budget hog, or bad fit and hands back an exclusion list with the total spend you would save.

`/budget-wasters` ranks every leak by the monthly dollars at stake, including accounts hogging impressions.

## The math that tells you to go deeper or wider

Once distribution is fixed, two numbers make the decision for you.

Both are simple.

- **Penetration** is reach divided by audience size. It tells you what share of your audience you have actually touched.
- **Frequency** is impressions divided by reach. It tells you how many times the average person saw an ad.

Read them together:

| What you see | What it means | What to do |
| **Low penetration, low frequency** | You are underfunded for the list you already have | Go deeper. More budget will reach genuinely new people. |
| **Low penetration, high frequency** | Budget is concentrated on a few people | Fix distribution first. Cap the heavy accounts before adding anything. |
| **High penetration, rising frequency** | You have reached most of the audience and are now repeating | Go wider. More budget here buys repetition, not reach. |
| **High penetration, healthy frequency** | The audience is working well | Hold, refresh [creative](/blog/linkedin-ad-performance-audit-claude-code), and add accounts slowly. |

Campaign Manager shows [audience penetration](/blog/linkedin-audience-penetration) directly.

![LinkedIn Campaign Manager table highlighting the Audience Penetration metric at 32.8% for a campaign](https://cdn.zenabm.com/media/audience-penetration-metric-in-LinkedIn-campaign-manager.png)

Set your expectations properly, though.

LinkedIn advises taht it should be somewhere between 10 and 40 percent, which means more than half your list will not be penetrated even when things are going well.

![Paid ads experts say that a 10 to 40 percent account penetration rate on LinkedIn is ideal, which means more than half of the accounts are not going to be penetrated even in ideal conditions, which emphasizes the importance of adopting a multi-channel account-based marketing campaign, instead of relying on one channel.](https://cdn.zenabm.com/media/linkedin-audience-penetration-formula.png)

That ceiling is the honest argument for going multi-channel rather than pushing LinkedIn harder forever, and it is why [ZenABM also tracks Google Ads, Reddit Ads, organic traffic, and AI chatbot referrals](/multichannel-attribution) on the same account record.

![Multi-channel closed-attribution in ZenABM](https://cdn.zenabm.com/media/zenabm-linkedin-google-ads-analytics.png)

Tim Davidson, Founder at B2B Rizz, recommends auditing your setup for penetration above [40 percent](https://www.linkedin.com/posts/kbunshoft_linkedinads-paidsocial-paidmedia-activity-7404516493171912704-nCfC) alongside frequency, so you know you are reaching enough of your buyers often enough.

[Embedded post](https://www.linkedin.com/embed/feed/update/urn:li:share:7403798988505702401?collapsed=1)

Treat 40 percent as the ambitious end of that band rather than a floor.

One more planning number worth holding: Maximilian Herczeg, a [LinkedIn Ads](/blog/linkedin-ads-mcp-server) specialist who previously worked at LinkedIn, estimates that realistic monthly reach is roughly half your total audience pool, because plenty of profiles are inactive or rarely log in.

If you plan on reaching everyone, you will overspend chasing people who are not there.

### Let the skill do the math

The `/scaling-planner` skill (part of the ZenABM MCP server) exists for exactly this decision.

It calculates penetration and frequency from live data, then gives you sequenced budget step-ups with a stop condition at each step.

Connect the [ZenABM MCP server](/mcp) (endpoint `https://app.zenabm.com/api/mcp`, Bearer token or OAuth.

![ZenABM MCP server setup inside Claude Code](https://cdn.zenabm.com/media/zenabm-mcp-server-setup-claude.png)

Then `/init` to write a CLAUDE.md) and you can also just ask:

> For each of my [LinkedIn ABM ad](/blog/abm-ads) sets, calculate reach divided by audience size and impressions divided by reach for the last 30 days. Tell me which ad sets still have room to reach new people and which ones are just repeating to the same audience. For the ones with room, suggest a budget increase and the level of penetration at which I should stop and reassess. Show the numbers behind each recommendation.

What the result would look like:

![used the ZenABM MCP server to pull reach, audience size, and impressions for your 10 active LinkedIn ad sets and calculate which ones still have audience headroom versus which are saturated.](https://cdn.zenabm.com/media/Using-the-ZenABM-MCP-server-to-pull-reach-audience-size-and-impressions-for-your-10-active-LinkedIn-ad-sets-and-calculate-which-ones-still-have-audience-headroom-versus-which-are-saturated.png)

## How much budget each account actually needs

Here is the simple arithmetic most plans skip.

A $5,000 monthly budget spread across 50 accounts is $100 per account per month, which is about $3.30 per account per day.

Now add 450 accounts without adding budget. You are at $10 per account per month, and nothing meaningful happens at any of them.

That is dilution, and it is what “scaling” usually means in practice.

Veronika Vebere, a demand generation consultant who runs ABM pilots for lean teams, makes this point on the [ABM Bootcamp](https://www.youtube.com/watch?v=xzuIyyCrHhI&list=PLd2UVr6bIOFSPkUso7WJ9SHMVTMyIEA7C&index=14&t=1854): your budget directly caps how many target accounts and how many ad creatives you can serve, and most marketers badly underestimate that constraint.

![Webinar slide 'Create a watertight target accounts list' says list size depends on ACV and revenue goals](https://cdn.zenabm.com/media/Veronika-Vebere-points-out-that-targeting-heavily-depends-on-budget.png)

Two limits to respect before you expand:

- **The ad count limit.** Monthly budget divided by 30, divided by cost per landing page click, divided by roughly 4 clicks per ad per day gives the most ads you can genuinely fund at once. Our [LinkedIn ads count calculator](/free-tools/linkedin-ads-count-calculator) does this for you.

LinkedIn ads count calculator by ZenABM
- **The 300-member floor.** Every [LinkedIn audience needs](/blog/linkedin-targeting) at least 300 members to serve. Going wide by splitting your list into many small, precise segments is the fastest way to stop delivery altogether. We made this exact mistake, and several segments simply never ran.

If you want to size the whole program rather than one campaign, the [ABM budget calculator](/free-tools/abm-budget-calculator) works backwards from your revenue goal, and the [LinkedIn ads budget guide](/blog/spend-on-linkedin-ads-budget-guide) covers the ranges in more detail.

![ZenABM ABM Budget Calculator showing LinkedIn Ads budget, monthly budget and target accounts from revenue inputs](https://cdn.zenabm.com/media/Linkedin-ABM-budget-calculator-landing-page-ZenABM.png)

The [`/abm-strategy-planning`](https://github.com/ZENABM/linkedin-abm-skills/blob/main/skills/abm-strategy-planning) skill runs the full version of this against your live metrics and tells you plainly when a goal is not reachable at your budget.

![ZenABM Claude skill for ABM strategy planning, showing the skill spec and the LinkedIn Ads setup steps](https://cdn.zenabm.com/assets/ABM-strategy-planning-Claude-skill-by-ZenABM-1-1.gif)

It is one of [four skills you can install from the public repo](https://github.com/ZENABM/linkedin-abm-skills):

```plaintext
/plugin marketplace add ZENABM/linkedin-abm-skills
/plugin install linkedin-abm-skills@zenabm
```

![GitHub repo for ZenABM's LinkedIn ABM Skills package with four AI skills for campaign strategy and reporting](https://cdn.zenabm.com/assets/ZenABM-skills-package-1.gif)

## The step-up protocol: scale in increments, not leaps

The benchmark advice is to raise the budget in steps and watch the pipeline per dollar by segment after each one, so efficiency does not slowly fall.

Here is the loop I use.

1. **Record your baseline.** Write down pipeline per dollar, penetration, frequency, and target accounts reached before you change anything.
2. **Raise the budget on one ad set only** by 20 to 30 percent. Changing everything at once means you learn nothing.
3. **Wait two full weeks.** Anything shorter is noise, especially with LinkedIn’s delivery pacing.
4. **Check reach first, not spend.** If reach grew roughly in line with spend, the increase bought new people. If reach stayed flat while impressions climbed, you bought repetition.
5. **Check pipeline per dollar by segment.** If it held or improved, take the next step. If it dropped, stop and go back.
6. **Repeat one ad set at a time.**

Set your stop condition in advance.

Ours is simple: if pipeline per dollar falls for two consecutive periods after a step up, the increase comes back out.

Grade each step against the market too. Median-influenced pipeline in the ZenABM benchmark is $5.21 per dollar spent at 1.62x median ROAS, with top performers at $15.20.

![ZenABM ABM benchmarks showing 0.58% median deal open rate and $13,819 LinkedIn pipeline per month](https://cdn.zenabm.com/media/ZenABM-Linkedin-ABM-performance-benchmarks-deal-open-rate-pipeline-per-spent.png)

Veronika Vebere, in the [ZenABM ABM Bootcamp](https://www.youtube.com/watch?v=xzuIyyCrHhI&list=PLd2UVr6bIOFSPkUso7WJ9SHMVTMyIEA7C&index=14&t=3426), also gives a useful staffing marker: when budget grows two to three times after early success, that is the point to bring in help that understands ABM, rather than stretching the same person further.

## Going wide: adding accounts without wrecking quality

When penetration says you have room to add companies, add them in a controlled way.

### Prune before you add

Run `/account-engagement` and remove the bad-fit and never-engaging accounts first. Most lists have 10 to 20 percent that should not be there, and clearing them funds part of your expansion for free.

### Add in tiers, not in one block

Veronika suggests tiering target accounts by how easily they convert rather than chasing every account an ABM calculator produces. New [accounts start in the lowest tier](/blog/tiered-account-segmentation-abm) with the cheapest format and earn their way up by engaging.

### Keep the segments servable

Group new accounts by shared problem or industry rather than by persona, so each audience clears 300 members comfortably.

### Lead with your cheapest attention

[Thought Leader Ads](/blog/how-to-write-linkedin-thought-leader-ads) posted a 2.68 percent median CTR at a $2.29 median CPC in the benchmark, against 0.42 percent for single image ads. When you add cold accounts, that is the format that buys reach efficiently.

![Performance of different LinkedIn ad formats in ABM campaigns compared based on trends analyzed in ZenABM's ABM benchmarks report 2026](https://cdn.zenabm.com/media/linkedin-ad-formats-abm-performance.png)

### Watch the new accounts separately

Keep the expansion in its own campaign so its numbers do not hide inside the totals of your original list.

## Guardrails that keep quality while you grow

Scale makes every small problem bigger, so three checks move from nice-to-have to weekly.

### Persona drift

As audiences widen, delivery starts reaching job titles you did not intend. `/persona-audit` skill (part of the ZenABM MCP server) compares your configured targeting against the job titles actually being served, sums the off-persona leak, and returns the exact exclusion list.

[ZenABM’s job title insights](/job-titles-insights) show the same picture in the app.

![ZenABM job title analytics: campaign groups for Growth Specialist with impressions, clicks and CTR](https://cdn.zenabm.com/media/Job-title-analytics-in-ZenABM-e1763015217744.jpeg)

### Creative decay

More budget on the same ads means faster fatigue.

The `/ad-decay` skill flags an ad as decayed when eCTR falls two weeks running with at least 1,000 impressions each week, using [real weekly data](/blog/linkedin-ads-benchmarks-2026) rather than estimates.

### Frequency creep

Watch for people seeing your ads too often.

Around six impressions per person per week is where fatigue commonly sets in, and our [LinkedIn ads frequency guide](/blog/linkedin-ads-frequency) covers where to set your own ceiling.

Also check two settings before you scale spend, because both quietly widen your audience beyond your target list: Audience [Expansion and the LinkedIn](/blog/linkedin-lookalike-audiences) Audience Network.

ZenABM’s `get_ad_set_settings` reads both live from [Campaign Manager](/blog/abm-campaigns-with-claude-code) on every call, so an agent can catch them rather than assuming they are off.

![Audience expansion in LinkedIn Campaign Manager](https://cdn.zenabm.com/media/Enable-Audience-Expansion-Option-in-Linkedin-Ads-Magnetica-Advertising.png)

## Measuring whether you actually scaled

Spend going up is not evidence of scale.

Three numbers are.

### Target accounts reached

The share of your list that has actually seen your ads. This is the headline scaling metric, and it should rise as you spend more.

### Accounts moving stages

Reach without movement means you got louder, not better.

[ZenABM](/blog/what-is-zenabm)‘s ABM stages show how many accounts sit at each step.

![ZenABM reporting dashboard showing companies by ABM stage and how many moved between stages](https://cdn.zenabm.com/media/Flowfuse-ABM-Stages-reports-ZenABM-1.png)

And `/funnel-movement` skill of the [MCP server reports](/blog/linkedin-ads-data-export-ai-analysis) who moved, who stalled, and which transition is the bottleneck.

### Pipeline per dollar, by segment

Deduplicated, so one account with several engaged people counts once.

`/revenue-attribution` skill of the ZenABM MCP server runs this per campaign and refuses to draw conclusions from fewer than 10 companies.

![Claude Code running a ZenABM revenue attribution skill, comparing influenced and non-influenced deal value](https://cdn.zenabm.com/media/Revenue-attribution-skill-result-using-ZenABM-MCP-server-in-Claude-Code.png)

The same is available within the ZenABM UI:

![ZenABM revenue attribution dashboard tracking ABM ad spend, pipeline and closed revenue by month](https://cdn.zenabm.com/media/ZenABM-abm-revenue-attribution-campaign-dashboard-.png)

![ABM analytics and attribution dashboard in ZenABM](https://cdn.zenabm.com/media/Full-new-ABM-analytics-Dashboard-ZenABM-2026-April.png)

[ZenABM helps you push the stage and intent data into your CRM as company properties](/crm-sync), so sales sees the expansion as accounts to work rather than a slide.

![Interested stage as company property in the CRM](https://cdn.zenabm.com/media/ZenABM-interested-stage-as-company-property-in-the-CRM-1-scaled.png)

![Pushing intent as property in ZenABM](https://cdn.zenabm.com/media/Intent-propety-.png)

![LinkedIn ad data pushed to company lists in the HubSpot CRM using ZenABM](https://cdn.zenabm.com/media/ZenABM-metrics-visible-as-company-properties-in-HubSpot-CRM-using-ZenABMs-sync.png)

If you would rather not run any of this in a terminal,

[Zena](/linkedin-ads-expert-chat), the AI agent inside ZenABM, answers the same questions in plain English and flags impression-hog accounts with the exclusion action attached.

![ZenABM's Zena chat ranking top LinkedIn ads by CTR over 30 days, listing creative IDs and impressions](https://cdn.zenabm.com/media/Zena-by-ZenABM-AI-chatbout-what-are-my-top-performing-linkedin-ads-by-CTR-.png)

For a worked example of a program that scaled this way, the [FlowFuse case study](/blog/flowfuse-zenabm-case-study) is worth a read.

## Scaling LinkedIn ads across more target accounts: the takeaway

[Scaling LinkedIn ABM](/blog/account-scoring-from-linkedin-ad-data) is mostly an arithmetic problem wearing a strategy costume.

More spending did not mean more efficiency in the benchmark, so the win comes from spreading budget properly, not from spending harder. Cap the accounts taking too much, remove the ones that never respond, then let penetration and frequency tell you whether to go deeper or wider. Move in 20 to 30 percent steps and check the pipeline per dollar before the next one.

If you do one thing this week, sort your accounts by impressions and look at the top five. If they hold most of your delivery, you have found the reason your last expansion did not work, and capping them will do more than any budget increase.

Seeing spend and impressions per [named company is the part LinkedIn](/blog/linkedin-ads-personalization) will not give you. If you want that view on your own account, [ZenABM is free for 37 days](https://app.zenabm.com/signup) with full functionality, and the company-level data, exclusions, and scaling math can be run before your next budget review.

[You can also book a demo with us to learn more.](/book-a-demo)

## Frequently asked questions

### How do you scale LinkedIn ads for ABM?

Fix budget distribution first, then choose one direction. Check spend and impressions per company and cap the accounts taking a disproportionate share, since [LinkedIn spreads budget](/blog/spend-on-linkedin-ads-budget-guide) across people rather than companies. Then use penetration (reach divided by audience size) and frequency (impressions divided by reach) to decide whether to go deeper on current accounts or wider with new ones. Raise budget in 20 to 30 percent steps and check pipeline per dollar after each.

### Does spending more on LinkedIn ads improve ABM results?

Not automatically. In the ZenABM 2026 benchmark of 211 companies, moving up a spend tier was not associated with better efficiency, and the weak trend was slightly negative. More budget helps only when it reaches genuinely new people rather than showing the same audience more ads. Check whether reach grows in line with spend after each increase, because flat reach with rising impressions means you bought repetition.

### How many target accounts can my budget support?

Work it out per account. A $5,000 monthly budget across 50 accounts is $100 per account per month, or roughly $3.30 a day. Spread the same budget across 500 accounts and each gets $10 a month, which achieves nothing anywhere. Also respect the ad count limit: monthly budget divided by 30, divided by cost per landing page click, divided by roughly 4 clicks per ad per day.

### What is a good account penetration rate on LinkedIn?

Practitioners put a realistic range at 10 to 40 percent of accounts, which means more than half your target list will not be penetrated on LinkedIn alone even when the program is healthy. Kathleen Bunshoft recommends [auditing](/blog/audit-linkedin-ads-with-ai) for penetration above 40 percent, so treat that as the ambitious end. Because of that ceiling, scaling beyond a point usually means adding channels rather than [adding LinkedIn](/blog/flowfuse-zenabm-case-study) budget.

### Why do a few accounts eat most of my LinkedIn ABM budget?

Because LinkedIn delivers to people, not companies, so a large enterprise with many employees in your target roles absorbs far more impressions than a small company. Without a company-level cap, a handful of accounts can take most of your spend while the rest of the list barely sees your ads. The fix is a dynamic exclusion audience for companies past an impression threshold, added as an exclusion on the ad set.

### Should I add more accounts or spend more on existing ones?

Let penetration decide. If penetration is low and frequency is low, you are underfunded on the list you have, so go deeper. If penetration is high and frequency is climbing, extra budget will only repeat to the same people, so go wider. If penetration is low but frequency is high, neither: your budget is concentrated on a few accounts and distribution needs fixing first.

## Images

- https://cdn.zenabm.com/media/LinkedIn-ads-count-calculator-by-ZenABM.png
- https://cdn.zenabm.com/media/linkedin-matched-audiences-best-practices.png