ZenABM
ZenABM · Marketing · Business
ZenABM is a LinkedIn Ads AI layer for B2B teams. Its Zena agent and MCP server build campaigns, automate reporting and connect ad spend to CRM pipeline.
About ZenABM
What Is ZenABM
ZenABM runs LinkedIn Ads and account-based marketing from a chat window. You describe the campaign you want. Zena, the built-in AI agent, assembles the campaign structure, the targeting and the ad copy, then waits for your approval before anything goes live.
The product targets the slow parts of LinkedIn Campaign Manager that B2B teams hit every week: duplicating a winning ad set, pausing an expensive one and pulling numbers for a Monday report. ZenABM is an ABM platform that turns those jobs into plain-language requests and adds company-level engagement data, so you can see which accounts are actually reading your ads. Most of that work is LinkedIn Ads automation, and the chat window is where it happens.
Two limits matter before you sign up. Everything runs on top of your own LinkedIn Ads account, so you need a funded ad account and admin access. Revenue reporting also depends on a CRM connection. Without one you get ad metrics, and pipeline stays out of the picture.
Getting Started
- Sign up at app.zenabm.com and start the 37-day trial. No card is required to look around.
- Connect your LinkedIn Ads account and pick the ad account Zena should work in.
- Connect your CRM if you want pipeline and revenue inside the reports.
- Ask for a campaign in plain English: objective, budget, audience and offer. Zena returns a draft with targeting, copy and creatives pulled from your media library.
- Check the estimated audience size and the ad previews, then approve. Nothing launches until you confirm.
Product Information
A quick look at ZenABM's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- B2B marketers who own a LinkedIn Ads budget
- Lean demand-gen teams without a dedicated analyst
- Agencies and ABM consultancies
Tasks
- Building a LinkedIn campaign from a blank page
- Producing recurring performance reports
- Clearing wasted spend
Scenarios
- A leadership meeting on Monday needs last week's numbers
- An event is six weeks out and the landing page is ready
- Sales wants to know which target accounts engaged
Key features
Campaign building in plain English
Zena works as an AI campaign builder. You write the brief the way you would send it to a colleague, and Zena turns it into a campaign with ad sets, targeting, a bid and a budget, then writes the ad copy and pulls images from your media library. Audience size is estimated before you commit, and saved audiences or lead forms from earlier campaigns can be reused. The draft sits in review until you approve it.
MCP server for Claude, ChatGPT, Perplexity and Gemini
ZenABM runs an MCP server, which is the standard way to give an AI assistant access to outside tools. Connect it once and you can ask Claude or ChatGPT for a set of LinkedIn ads, and the ads appear in a new ad set with the objective, budget and bidding you specified. You get a link to review the work in Campaign Manager, and approval still happens on your side.
Automated LinkedIn Ads reporting
Reports are scheduled rather than assembled by hand. Pick weekly, monthly or quarterly, and ZenABM sends a written summary with the top and bottom performers, the numbers cross-referenced against pipeline, and action items Zena can carry out if you say yes. Ad hoc reports work the same way: ask in chat and you get a shareable page in seconds.
Fixing wasted spend with an approval step
The agent surfaces your lowest performers and proposes the fix: pause this ad set, lower that bid, move budget to the campaign that converts. You see the change before it happens. Retargeting audiences can also be rebuilt from ad engagement and CRM events, which is where most B2B teams lose track of who is worth a second impression.
Benchmarks from 30+ ABM practitioners
Zena's advice draws on material from more than 30 ABM and LinkedIn Ads practitioners, including Tim Davidson, Ali Yildirim and Max Herzeg. Answers come graded against ZenABM's own benchmarks, so a cost-per-lead question returns a range tied to your industry instead of a generic figure. It reads like advice from someone who runs LinkedIn ads for a living, not a help-center article.
Expert skills as slash commands
Fifteen ready-made skills cover the recurring work: campaign audits, monthly reports, strategy planning, ad decay checks and sales handoff lists. Each one runs as a slash command from your AI client. Underneath sit 105 read and write tools spanning LinkedIn Ads, ABM, CRM and revenue data, so a single request can pull ad performance and closed revenue into the same answer.
Pros and cons
Pros
- Campaign drafts arrive with copy and creative, not just a targeting shell you still have to fill.
- Approval gates sit in front of every launch, bid change and pause, which keeps an AI mistake from spending your budget overnight.
- Reports read as findings and next steps, with ad numbers checked against pipeline.
- The MCP server lets you stay inside Claude or ChatGPT instead of switching to Campaign Manager.
- Pricing has no ad-spend markup, so the subscription is the whole cost.
Cons
- No free plan. The 37-day trial is long, but after it the cheapest option is $59/mo.
- Zena is capped at 10 chats a day on Starter and 50 on Growth, which is tight if you check performance every morning.
- LinkedIn only. Teams running Google or Meta campaigns need another tool for those channels.
- Revenue reporting is only as accurate as the CRM data you connect, and the vendor does not publish a full list of supported systems.
Frequently asked questions
It builds, launches and reports on LinkedIn Ads through an AI agent and an MCP server, then ties campaign results to CRM pipeline. You can work inside ZenABM's own interface or from Claude, ChatGPT, Perplexity and Gemini.
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