ZenABM Blog - the place to learn about LinkedIn Ads & ABM!

By Emilia Korczynska

When choosing a tool for running ABM campaigns on LinkedIn, many folks compare ZenABM vs Fibbler. They have a similar (affordable!) price point, both share the core functionality of deanonymizing LinkedIn ad engagements on company level, and pushing them to your CRM. But they also have different features and were built for a different purpose.

By Emilia Korczynska

Looking for Fibbler alternatives? Fibbler is a LinkedIn ads tool that combines two capabilities: LinkedIn ad campaign optimization (impression capping, campaign scheduling, audience exclusions) and revenue attribution (connecting LinkedIn ad engagement on company level to CRM data to show the impact of LinkedIn ads on deals, plus a “lift analysis” that compares LinkedIn-influenced deal sizes…

By Emilia Korczynska

LinkedIn ABM nurture campaigns fail for a reason not discussed enough: LinkedIn’s retargeting audiences are built around individual members, and your ABM funnel is built around accounts.

By Emilia Korczynska

A LinkedIn ads account engagement score sounds simple. Add up what each company did with your ads, rank the list, and call the top of it. We built ours that way first, and it ranked large companies at the top for a while. Not companies that liked us. Just the big ones.

By Emilia Korczynska

37 LinkedIn Ads automation workflows and agents for ABM you can build with Claude and the ZenABM MCP server: 3 we run on our own account, 34 more from the best LinkedIn Ads practitioners, each with the prompt to paste.

By Emilia Korczynska

LinkedIn ABM reporting goes wrong in a way that is hard to see because the reports look fine. For a long stretch of our program, I was reporting on ads and calling it ABM reporting. Impressions, CTR, cost per click, best-performing creative – all accurate and well presented.

By Emilia Korczynska

Most guides on how to optimize LinkedIn ads with ChatGPT skip the one thing that matters. ChatGPT cannot see your ad account. By default, it has no idea what you spent, which ads are dying, or which companies clicked. So it guesses, and the advice sounds smart while being worth nothing.

By Emilia Korczynska

AI ABM segmentation is marketed as an algorithm that finds hidden clusters in your account list, and that promise is where most programs waste their first quarter. In reality, the segments that predict a meeting are not always the ones you can draw from a firmographic spreadsheet. Moreover, oversegmentation is a problem too.

By Emilia Korczynska

The biggest leak in most ABM programs does not happen at targeting or creative. It happens at the handover. Marketing warms an account with LinkedIn ads, builds familiarity over weeks, and generates real engagement signals.

By Emilia Korczynska

The disconnect between marketing campaigns and sales conversations is where most ABM pipelines go to die. Marketing warms an account with 50+ ad impressions over three months, building familiarity, trust, and specific interest in your solution. The BDR, seeing none of that data in their CRM, sends a generic cold email.

By Emilia Korczynska

How Bill and Bilal at Userpilot automate ABM follow-up sequences – the three account scores, ZenABM to Clay to outbound workflow, and intent-based personalization that replaces generic cold outreach.

By Emilia Korczynska

Getting LinkedIn ad engagement into HubSpot without spreadsheets or one-off imports looks simple on paper, yet it is tricky in practice. B2B buying cycles stretch across weeks, multiple stakeholders touch the journey, and clicks are scarce.