If you’re running ABM on LinkedIn, you need reports that show performance by company for every campaign. That is the baseline for serious programs. Most teams still juggle tools and cannot get clean company data.
In this guide, I’ll explain how to track LinkedIn ad performance at the account level. You’ll see why native CRM syncs, LinkedIn Campaign Manager, and deanonymization tools fall short, and how ZenABM closes the gap.
Here is why these common approaches, even in combination, fail to deliver true company-level LinkedIn reporting:
LinkedIn Campaign Manager only became somewhat ABM-friendly when the Companies tab shipped in 2024: 
The tab now lists paid clicks, impressions, engagements, and leads, plus organic activity and an overall engagement score at the company level.
That is progress, but not enough.
You can finally see company-specific impressions and engagements, yet everything is aggregated for the whole ad account. You still cannot tell which specific ads resonated with each company.
For ABM teams, that is a deal breaker. Most run several initiatives at once, each split into multiple campaign groups, and each group holds multiple campaigns.
Those campaigns vary by:
Without company-by-campaign data, you cannot read buyer intent or attribute pipeline accurately. Consider the layered setup Userpilot uses, for example: 
When engagement is rolled up to the ad-account level, the signal is weak. You need impressions, clicks, and engagement by company for every campaign, group, and ABM program.
Why this matters:
CRMs like HubSpot connect to LinkedIn Ads. For example, the LinkedIn Ads–HubSpot integration shows ad metrics in HubSpot’s Ads tool: 
This view is even more restrictive than Campaign Manager.
You can see campaign-level impressions and clicks, but the companies behind them vanish. The firmographic layer is gone.
Marketers often attempt one of these workarounds:
They then add web-visitor deanonymization software to reveal company identities.
Under the hood, these tools lean on IP-address matching against a database. That fails often because of:
The result is weak accuracy. These tools identify the visiting company correctly only about 42% of the time: 
The accounts we targeted never showed up in website analytics, even though they landed on bespoke landing pages for our ABM ads.
How do we know? We built a no-index domain only for those campaigns, so 100% of visits came from target accounts. Over 90 days, Breeze Intelligence, using Clearbit’s API, detected a single company — our own.
This path also relies on clicks. If a company only views your ad and returns later via organic search, attribution is lost completely.
Bottom line: LinkedIn Campaign Manager aggregates at the account level, CRMs drop company detail, and IP matching is unreliable. You need a platform that shows company-level LinkedIn metrics for every campaign, group, and ABM initiative.
You can combine LinkedIn CAPI, the Insight Tag, or a CRM pixel with UTMs to catch ad clicks. Visibility still stays narrow. If someone clicks an ad and does not submit a form in the same session, CAPI and the Insight Tag cannot reveal their company.
HubSpot can sometimes connect a later visitor back to the original ad click even without a form fill. It depends on cookies, which are fading.
Even if cookies worked perfectly, two problems remain:
many viewers never click, then Google your brand and arrive through another channel.Bottom line: Even with flawless cookies and perfect forms, you miss companies that viewed your ad but converted through a different route. A click-only approach is not enough on LinkedIn. You need view-through attribution with company-level impression and engagement reporting for ABM.
ZenABM pulls first-party data from the LinkedIn Ads API, breaks it down by company, and shows impressions, clicks, CTR, spend, and total engagements for each campaign and campaign group.
Connect ZenABM to HubSpot or Salesforce, and it maps ad-engaged companies to your deals, pulls deal values, and surfaces a complete ABM scorecard:
Core metrics ZenABM calculates:
Tag each campaign or group with its underlying intent such as feature, use case, or pain point. ZenABM clusters engaged companies by that intent so BDRs can speak to what prospects care about.
ZenABM assigns each company to an ABM stage — Awareness, Interest, Selection, Customer — using ad signals plus CRM activity, and lets you tune the thresholds.
Two score types keep teams aligned:
Impressions, clicks, intent, stage, and scores all sync to HubSpot or Salesforce as company properties. ZenABM can also assign a BDR once an account crosses your engagement threshold.
LinkedIn Campaign Manager lumps data together. CRMs remove firm-level detail.
If you rely only on click-based methods like CAPI, the Insight Tag, or CRM pixels, you will miss companies that view ads without clicking.
Real ABM success needs a clear line from each company to the exact ads they saw and the actions that followed. That feeds outreach, scoring, and revenue attribution. If you care about how to track LinkedIn ad performance at the account level, start with company-level impression and engagement metrics, not just clicks.
ZenABM gives you company-level metrics per campaign, automatic BDR assignment, real-time scoring, intent tagging, and a clean CRM sync.
