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 Fibbler - 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. Fibbler is an attribution tool only.
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(1/12)
Fibbler
Attribution Dashboard(1/4)
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
- You need intent signals, custom funnel stages and account scoring
- You want full, deduplicated revenue attribution per campaign and initiative
- You want multi-channel signals - LinkedIn, Google, Reddit, organic, AI referrals
- You want hands-on implementation support
Choose Fibbler if…
- You mainly need scheduling and impression capping
- You want more Google Ads and Meta Ads insights
- You want organic LinkedIn page engagement insights
- You're happy building and editing every campaign by hand
- You prefer raw metrics and your own CRM workflows
- You prefer a pure self-serve experience
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.
Fibbler is an attribution tool only, so the campaign work stays in Campaign Manager.
Claude
ChatGPT
Perplexity
Gemini+ any MCP client96 MCP tools and 15 expert skills. The 26 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 Fibbler - Feature-by-feature comparison
for LinkedIn ABM
| Feature |  |  |
|---|---|---|
| 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 - campaigns are still built by hand in LinkedIn Campaign Manager |
| Run it from Claude, ChatGPT, Cursor (MCP server) | Yes - 96 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 | Scheduling (time-based pause/start) + impression capping |
| 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 | |
| Duplicate winning campaigns / ad sets / ads | Yes - copy the structure and change only what needs to change | |
| Approval before anything goes live | Yes - 26 of 96 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) |
| AI agent trained on expert knowledge | Zena - trained on knowledge from 30+ LinkedIn Ads experts, with skills for audits, strategy, budgets and creative | |
| Automated AI reporting | Weekly, monthly and quarterly reports with insights and action items Zena can act on - straight to your inbox | |
| Core | ||
| Primary purpose | Built to run ABM campaigns on LinkedIn with AI (build → manage → optimize → attribute), from the app or from Claude/ChatGPT | Built for LinkedIn ads insights + optimization controls (raw data + ops) |
| Company-level deanonymization | ||
| Contact-level engagement data | Yes - see which contacts within target accounts are engaging; route to BDRs | |
| Account-level engagement signals | Impressions, engagements, clicks + intent + account funnel stage + engagement score (ABM-ready) | Impressions, engagements, clicks (mostly raw) |
| Company-level view | Dedicated company pages: campaigns engaged + timeline + searchable/exportable | Limited: engagement often shown in dialogs; less searchable/exportable |
| Campaign-level view: company breakdown | Click into a campaign → see which companies engaged | Mostly totals per campaign; limited company breakdown |
| Company timeline / engagement history | Full multi-channel timeline of all touchpoints per company with deal events mapped alongside | Limited historical view (open deals only, by source only) |
| Multi-channel engagement signals | LinkedIn Ads + Google Ads + Reddit Ads + organic traffic + AI chatbot referrals - all included in paid plans | LinkedIn Ads + more Google Ads and Meta Ads insights (Google: $59/mo add-on, 1,000 co. cap) + organic LinkedIn page engagements |
| Company engagement journey with deal mapping | Visual timeline mapping every ad touchpoint alongside deal creation, progression, and close events | |
| Campaign impact on deals | Deduplicated attribution - see which campaigns influenced each deal without double-counting | Deals appear across multiple campaigns; no deduplication |
| 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, deal stages, and multi-channel signals | |
| Account scoring (hottest accounts) | Engagement score + stage movement for prioritization | |
| Intent signals (buying signals) | Infer intent from what campaigns/messages an account engaged with | |
| Analytics | ||
| ABM analytics dashboards | Deep dashboards (initiative + campaign + time comparisons) | Limited reporting focused on ads/ROI views |
| Revenue attribution | Full, deduplicated revenue attribution - pipeline and closed revenue per campaign and per ABM initiative | Limited - some ROI views, no deduplication or ABM segmentation |
| AI analysis | Zena AI (chat with your LinkedIn ABM data) - trained on expert knowledge from top LinkedIn ads practitioners | |
| REST API + MCP server | Full REST API + MCP server - connect to Claude Code or any LLM to build bespoke dashboards, reporting, or agents | |
| Cross-campaign reporting | Compare performance across campaigns and time periods | Basic campaign comparison |
| Funnel conversion analytics | Track stage-to-stage conversion rates | |
| Data & Speed | ||
| Data processing & speed | Stored + processed in-app → fast UX and comparisons | More API-wrapper feel → can be slower at scale, but sometimes fresher |
| Short time-window completeness (7-day data) | More stable (pulled from stored dataset) | Can be thin due to LinkedIn privacy thresholds in short windows |
| Historical data retention | Full historical data stored indefinitely | Limited by LinkedIn API retention |
| CRM & Integrations | ||
| CRM sync (HubSpot / Salesforce) | Pushes raw + ABM-ready properties (stage, score, intent, campaign names) | Pushes mainly raw properties (impressions/clicks/engagements) |
| Actionability in CRM | High (trigger workflows on stage/intent/score) | Medium (you build workflows yourself from raw data) |
| Webhooks | ||
| Audience / persona insights | Deeper breakdowns; video insights supported | Persona/job title insights; less depth on video/timeline |
| API access | Full REST API + MCP server for custom integrations, LLM connectivity, and agent building | Limited API |
| Optimization | ||
| Impression capping | Coming soon (pending LinkedIn API access) | |
| Campaign management workflows | End-to-end, AI-driven - build, edit, pause, rebudget and retarget in one conversation | Campaign scheduling (time-based pause/start) |
| Organic LinkedIn engagement insights | ||
| A/B testing insights | Compare creative performance by account segment | Basic A/B metrics |
| Pricing & Support | ||
| Pricing (starting) | $59/mo (multi-channel included) - Agency: $499/mo (3 client seats) | $89/mo (3 syncs/caps limit) - Agency: $159/mo (2 seats). Google Ads: +$59/mo add-on |
| Free trial | 37 days (reverse trial → Free plan) | 30 days |
| Multi-seat / team pricing | Unlimited seats on all plans | Per-seat pricing |
| Customer support & implementation | Extensive - LinkedIn ad strategy, ABM programme, GTM engineering support. ~50% of customers use service package | Self-serve PLG model; two-person team serving 500+ users |
Which should you pick?
(Fast decision)
Pick ZenABM if your goal is:
"Run ABM on LinkedIn with AI"
ZenABM is the better fit when you need:
- Campaigns created, managed and optimized by AI - from Claude, ChatGPT or the Zena chat
- Full, deduplicated revenue attribution per campaign and ABM initiative
- Processed ABM signals (intent, custom stages, engagement score), not raw ad data
- Multi-channel attribution - LinkedIn, Google Ads, Reddit, organic, AI referrals
- Company engagement journeys with deal events on a timeline
- CRM activation without fragile workflows, plus contact-level data
- Hands-on implementation support
Pick Fibbler if your goal is:
"Control LinkedIn ads"
Fibbler is the better fit when you need:
- Scheduling + impression capping right now
- More Google Ads and Meta Ads insights
- To build and edit every campaign by hand in Campaign Manager
- Organic LinkedIn page engagement insights
- A pure self-serve, PLG experience
The "use both" setup
A lot of teams run:
- •ZenABM for building & managing campaigns with AI + ABM analytics + intent + scoring + CRM activation
- •Fibbler for scheduling, impression capping and Google/Meta Ads insights
…until ZenABM's impression capping ships and the AI campaign management covers the last of the ops needs.
Mini FAQ
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