ZenABM is an account-based marketing platform that uses its Zena AI analyst, MCP server, and API to analyze LinkedIn Ads alongside company, CRM, pipeline, intent, and revenue data. It helps ABM and marketing teams plan campaigns, produce reports, optimize approved changes, and hand engaged accounts to sales.
ZenABM is an account-based marketing platform with an AI layer for LinkedIn Ads analysis, campaign management, reporting, and revenue-oriented account research. Its built-in AI analyst, Zena, works with LinkedIn advertising, company engagement, CRM, pipeline, intent, and revenue data available in ZenABM.
Teams can use Zena inside ZenABM, connect the same data and actions to external AI clients through the ZenABM MCP server, or use the API to bring LinkedIn Ads data into other applications and dashboards. The system is designed to support a review-and-approval workflow: it can prepare campaigns and recommend or stage changes, but actions affecting live ad delivery are not executed without confirmation.
Describe a campaign and Zena can produce the campaign, ad sets, targeting, copy, and ads using creatives from a connected media library. It can also check audience size, reuse saved audiences and lead forms, and duplicate existing campaigns or ads before anything is launched.
Generate ads from Claude or another compatible AI client, then place them into a new ad set with the requested objective, budget, and bidding settings. ZenABM provides a Campaign Manager review link and waits for approval before launch.
Receive weekly, monthly, or quarterly reports by email, or request a report on demand. Reports combine performance with pipeline data, identify high and low performers, and include insights and action items rather than only raw metrics.
Use 15 ready-made ABM workflows for audits, planning, reporting, ad-decay checks, account engagement, revenue attribution, and sales handoff. The MCP documentation describes 96 read and write tools covering LinkedIn Ads, campaigns, companies, CRM and revenue data, creatives, stages, deals, contacts, and intent data.
Find inefficient ads, ad sets, and campaigns, then pause them, adjust bids or budgets, or create retargeting audiences from ad engagement and CRM events. Each live change remains subject to user approval.
Ask for advice based on the account's own data and comparisons with benchmarks drawn from more than 30 ABM and LinkedIn Ads experts. The documented workflows also expose calculations, assumptions, sample sizes, and correlation labels where relevant.
Use an audit, budget-waster, persona, or ad-decay workflow to locate inefficient spend, weak targeting, delivery problems, and fatigued creative. The resulting fix list is ordered by potential financial impact and can lead into approved optimization actions.
Start with a pipeline goal and use account deal size, pipeline per dollar, eCPC, audience size, and format performance to define a campaign structure. The campaign-execution workflow then turns the plan into briefs, copy variants, Thought Leader Ad copy, and design briefs.
Give stakeholders a recurring view of spend, pipeline, pipeline per dollar, format performance, newly engaged accounts, risks, and opportunities. Weekly, monthly, and quarterly reporting options serve both account operators and non-specialist stakeholders.
Prioritize sales activity using account engagement, intent, stage movement, engagement spikes, contacts, and deal context. The sales handoff workflow produces a list of accounts to call with a contact and a talking point based on each account's journey.
Connect Claude, ChatGPT, Perplexity, Gemini, or another compatible client to ask for campaign assets, performance analysis, and approved actions without switching to a separate reporting interface. OAuth links the client to the ZenABM organizations and permissions available to the user.
Zena is ZenABM's built-in AI analyst for asking questions and taking approved actions on LinkedIn Ads and ABM data. The MCP server connects that data and action layer to external AI clients such as Claude, ChatGPT, Perplexity, Gemini, Claude Code, and Cursor. The API is intended for connecting LinkedIn Ads data to other applications and dashboards.
The MCP connection uses OAuth with a ZenABM account, so no separate API key is required. The documentation says setup instructions for Claude, Claude Code, Codex, and ChatGPT are available inside the app.
The MCP server supports external AI clients including Claude, ChatGPT, Perplexity, Gemini, Claude Code, Cursor, and other compatible AI tools. The exact setup path depends on the client.
Yes. Zena can surface and pause underperforming ads or campaigns, change bids and budgets, and build retargeting audiences from ad engagement and CRM events. MCP tools can also create, edit, and delete LinkedIn campaigns, ad sets, and ads. Actions that change live delivery require explicit approval.
The pricing page lists Zena chat limits of 10 chats per day on Starter, 50 per day on Growth, and unlimited chats on Pro and Agency. It also advertises a 37-day free trial, no setup fees, cancellation at any time, and full support.
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