Create & manage LinkedIn Ads with AI
- Launch campaigns, ad sets and ads without Campaign Manager
- Pause underperforming ads, change bids and budgets in bulk
- Build retargeting audiences from ad engagements & CRM events
ZenABM vs Factors.ai - which is better for running ABM programs on LinkedIn Ads?
ZenABM lets you actually create, manage and optimize your LinkedIn ads from Claude, ChatGPT and any other AI tool through its AI Agent Zena or the MCP server, on top of multi-channel revenue attribution dashboards, account scoring and intent signals. Factors.ai is an analytics tool only - the ad work stays manual.
37-day free trial + FREE plan afterwards
✓ HubSpot + Salesforce✓ Webhooks✓ Starts at $59/mo✓ Build & manage campaigns with AI✓ MCP server for Claude & ChatGPT
ZenABM
Create & Manage Campaigns with AI(1/9)
Factors.ai
Multi-Channel Analytics Dashboard(1/5)
Quick summary (TL;DR)
Choose ZenABM if…
- You want to build campaigns, ad sets and ads with AI
- You want AI to manage the live ones: bids, budgets, pausing, retargeting
- You want to run it from Claude or ChatGPT, not another dashboard
- You want AI reports with action items, not raw data
- LinkedIn Ads is your primary ABM channel
- You need intent signals, funnel stages and account scoring from LinkedIn data
- You want $59/mo with unlimited seats, not $399/mo
Choose Factors.ai if…
- You want website visitor ID and G2 intent as core features
- You want cross-channel account journeys beyond LinkedIn
- You're happy building and editing every campaign by hand
- You want a granular, complicated tool for advanced users
- You are happy to pay $10,000+/year
The biggest difference in 2026
Create, manage and optimize your LinkedIn ads with AI
Tell Zena what you want and she builds it: campaigns, ad sets, ads, bids, budgets and audiences. Works from Claude, ChatGPT or the ZenABM chat, and nothing goes live until you approve it. Every campaign is tied back to pipeline and revenue.
Factors.ai is an analytics tool, so the campaign work stays in Campaign Manager.
Claude
ChatGPT
Perplexity
Gemini+ any MCP client105 MCP tools and 15 expert skills. The 30 that can change your ad account always ask first.
AI Agent Zena with expert skills
- Run your ABM programme in natural language
- Trained on knowledge from 30+ LinkedIn Ads experts
- Skills for audits, strategy, budgets and creative
* Analyze top performing ad sets⌘⏎
Fable 5.1
Tips for getting started
Run /init to create a CLAUDE.md file with instructions for Claude
Note: You have launched Claude in your home directory. For the best experience, launch it in a project directory instead.
MCP server with expert skills
- Works inside Claude, ChatGPT and any other AI client
- The same skills and actions as Zena
- Call a skill as a slash command
Automated AI reporting
- Insights and action items Zena can act on, not raw data
- Weekly, monthly and quarterly
- Straight to your inbox
ZenABM vs Factors.ai: Feature-by-feature comparison
for LinkedIn ABM
| Feature |  | Factors.ai |
|---|---|---|
| AI Campaign Creation & Management | ||
| Create campaigns, ad sets and ads with AI | Yes - describe the campaign and Zena builds it: campaign, ad sets, targeting and ads, with audience counts checked before launch | No - analytics and workflows only; campaigns are built in LinkedIn Campaign Manager |
| Run it from Claude, ChatGPT, Cursor (MCP server) | Yes - 105 MCP tools, 15 expert skills - manage your ad account from any MCP client | |
| Bulk bid & budget changes in chat | Yes - update budgets and bids across many ad sets at once, checked against LinkedIn's suggested bid | Manual, per ad set in Campaign Manager |
| Bulk status changes (pause / resume / archive) | Yes - ads, ad sets and campaigns in a single instruction | |
| Pause decaying ads | Yes - Zena finds ads whose CTR is sliding and offers to stop them | |
| Build retargeting audiences in plain language | Yes - audiences from ad engagement and CRM events, pushed back to LinkedIn | Audience segments can be synced to ad platforms, but not built in conversation |
| Approval before anything goes live | Yes - 30 of 105 tools can change the account and every one is flagged as a write, so your AI client asks first | n/a (no AI write actions on ad accounts) |
| AI agent trained on expert knowledge | Zena - trained on knowledge from 30+ LinkedIn Ads experts, with skills for audits, strategy, budgets and creative | AI insights and recommendations, generic to the platform |
| Automated AI reporting | Weekly, monthly and quarterly reports with insights and action items Zena can act on - straight to your inbox | Scheduled dashboards and alerts |
| Core Focus | ||
| Primary purpose | Built to run LinkedIn-first ABM with AI: build and manage the campaigns, deanonymize the engagement, track intent, stages and scoring, and activate in CRM | Multi-channel analytics platform: website visitor ID, cross-channel attribution, product analytics |
| LinkedIn ad deanonymization depth | Deep: impressions, clicks, engagements at ad/campaign level per company | Limited: relies on LinkedIn Ads integration but less granular ad-level data |
| Multi-channel data sources | LinkedIn-first: deep LinkedIn focus + CRM integration | Broad: website, G2, paid ads, CRM, product analytics |
| ABM Features | ||
| ABM Campaign Object (initiative reporting) | Group multiple LinkedIn campaigns into one ABM initiative (by region/persona/product) | |
| ABM stages (funnel stages) | Fully customizable stages - built from any combination of LinkedIn engagements, CRM properties, website visits, form fills and deal stages | Limited: basic account journey tracking |
| Account scoring (hottest accounts) | Engagement score + stage movement for prioritization | Yes: ML-based account scoring available |
| Intent signals from LinkedIn ads | Infer intent from what campaigns/messages an account engaged with | Limited: intent mainly from website and G2 data |
| Target account list management | Upload & manage target account lists directly in-app | Yes: account list support |
| Account-based alerts & notifications | Alerts when key accounts hit engagement thresholds | Yes: workflow alerts available |
| LinkedIn-Specific Depth | ||
| Company-level LinkedIn ad engagement view | Dedicated company pages: campaigns engaged + timeline + searchable/exportable | Basic: account-level view but less LinkedIn ad depth |
| Campaign-level view: company breakdown | Click into a campaign → see which companies engaged | Limited: campaign analytics less granular for LinkedIn |
| Company timeline / engagement history | Full timeline of all LinkedIn touchpoints per company | Yes: account timeline across channels (web-focused) |
| LinkedIn video ad insights | Deep video metrics: views, completions, engagement by company | Limited video-specific insights |
| Analytics | ||
| ABM analytics dashboards | Deep dashboards (initiative + campaign + time comparisons) | Broad dashboards: multi-channel but less LinkedIn-specific |
| Revenue attribution | ABM-focused reporting + initiative-level tracking | Multi-touch attribution across channels |
| AI analysis | Zena AI - chat with your LinkedIn ABM data and act on it in the same conversation | AI features for insights and recommendations |
| Funnel conversion analytics | Track stage-to-stage conversion rates | Yes - funnel analytics available |
| Data & Speed | ||
| Data processing & speed | Stored + processed in-app for fast UX on LinkedIn data | Real-time processing but broader data complexity |
| Historical data retention | Full historical data stored indefinitely | Varies by plan: retention limits on lower tiers |
| CRM & Integrations | ||
| CRM sync (HubSpot / Salesforce) | Pushes raw + ABM-ready properties (stage, score, intent, campaign names) | Yes: CRM sync with account-level data |
| Actionability in CRM | High (trigger workflows on stage/intent/score from LinkedIn) | High (but less LinkedIn-specific enrichment) |
| Webhooks | ||
| Slack integration | Real-time alerts to Slack channels | Yes: Slack notifications |
| Platform Scope | ||
| Website visitor tracking | Core feature (IP-based deanonymization) | |
| Product analytics | Yes: in-app user behavior tracking | |
| G2 intent data integration | Yes: G2 buyer intent signals | |
| LinkedIn Ads optimization controls | Live - bids, budgets, bulk pausing, exclusions and decaying-ad detection, driven by AI | |
| Pricing | ||
| FREE plan | Yes | Yes: limited free tier |
| Pricing (starting) | $59/mo paid plans + FREE plan | $399/mo (Growth plan) |
| Free trial | 37 days (reverse trial → Free plan) | 14 days |
| Multi-seat / team pricing | Unlimited seats on all plans | Seat-based pricing on some plans |
Which should you pick?
(Fast decision)
Pick ZenABM if your goal is:
"Run LinkedIn-first ABM with AI"
ZenABM is the better fit when you need:
- Campaigns built and managed by AI - from Claude, ChatGPT or the Zena chat
- Bids, budgets, pausing and retargeting handled in conversation
- LinkedIn as your primary ABM channel, with deep ad-level insights
- Processed ABM signals (intent, stages, engagement score) from LinkedIn ads
- ABM initiative reporting across campaigns
- CRM activation with LinkedIn-specific enrichment
- $59/mo with unlimited seats
Pick Factors.ai if your goal is:
"Multi-channel analytics"
Factors.ai is the better fit when you need:
- Website visitor ID and G2 intent as core features
- Cross-channel account journeys beyond LinkedIn
- To build and manage every campaign yourself in Campaign Manager
- A granular, complicated tool for advanced users
- A budget of $10,000+/year
The "use both" setup
Some teams use both tools for complete coverage:
- •ZenABM for building & managing LinkedIn campaigns with AI + deep LinkedIn ABM analytics + intent + scoring + CRM activation
- •Factors.ai for website visitor ID + multi-channel attribution + G2 intent
This gives you the best of both worlds: LinkedIn depth + multi-channel breadth.
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