ZenABM vs Fibbler: Which tool is better for running ABM on LinkedIn?
Both tools deanonymize LinkedIn ad engagement on the company level and push it to your CRM.
The difference: ZenABM turns that data into ABM-ready signals (intent, stages, scoring, dashboards) — while Fibbler stays closer to raw LinkedIn engagement + ad ops controls.
37-day free trial + FREE plan afterwards
✓ HubSpot + Salesforce✓ Webhooks✓ Starts at $59/mo✓ Built for LinkedIn-first ABM
ZenABM
Analytics & Revenue Attribution Dashboards(1/6)
Fibbler
Attribution Dashboard(1/3)
Quick summary (TL;DR)
Choose ZenABM if…
- You want ABM campaign structure (group multiple LinkedIn campaigns into one initiative)
- You need intent signals, account funnel stages, and account engagement scoring
- You want ABM dashboards tied to pipeline + cleaner attribution logic
- You want ABM-ready CRM properties (to trigger workflows without RevOps gymnastics)
- You want to chat with your LinkedIn ABM data using Zena AI (no CSV exports)
Choose Fibbler if…
- You mainly need LinkedIn ad ops controls like scheduling and impression capping
- You want organic LinkedIn page engagement insights
- You're fine using raw engagement metrics and building ABM workflows yourself
ZenABM vs Fibbler — Feature-by-feature comparison
for LinkedIn ABM
| Feature |  |  |
|---|---|---|
| Core | ||
| Primary purpose | Built for running ABM campaigns on LinkedIn (signals → stages → attribution → activation) | Built for LinkedIn ads insights + optimization controls (raw data + ops) |
| Company-level deanonymization | ||
| 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 timeline of all touchpoints per company | Limited historical view |
| ABM Features | ||
| ABM Campaign Object (initiative reporting) | Group multiple LinkedIn campaigns into one ABM initiative (by region/persona/product) | |
| ABM stages (funnel stages) | Customizable stages (aware/engaged/interested/selecting/etc.) | |
| Account scoring (hottest accounts) | Engagement score + stage movement for prioritization | |
| Intent signals (buying signals) | Infer intent from what campaigns/messages an account engaged with | |
| Target account list management | Upload & manage target account lists directly in-app | |
| Account-based alerts & notifications | Alerts when key accounts hit engagement thresholds | |
| Analytics | ||
| ABM analytics dashboards | Deep dashboards (initiative + campaign + time comparisons) | Limited reporting focused on ads/ROI views |
| Revenue attribution | ABM-focused reporting + initiative-level tracking | Some ROI/attribution views, but less ABM segmentation |
| AI analysis | Zena AI (chat with your LinkedIn ABM data) | |
| 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 |
| Slack integration | Real-time alerts to Slack channels | |
| API access | Full API access for custom integrations | Limited API |
| Optimization | ||
| Impression capping | Coming soon (Jan 2026) | |
| Scheduling | Coming soon (Feb 2026) | |
| Organic LinkedIn engagement insights | ||
| A/B testing insights | Compare creative performance by account segment | Basic A/B metrics |
| Pricing | ||
| FREE plan | Yes (launching Feb 2026) | |
| Pricing (starting) | $59/mo paid plans + FREE plan (Feb 2026) | $89/mo (up to ~$159/mo agency tier) |
| Free trial | 37 days (reverse trial → Free plan) | 30 days |
| Multi-seat / team pricing | Unlimited seats on all plans | Per-seat pricing |
Which should you pick?
(Fast decision)
Pick ZenABM if your goal is:
"Run ABM on LinkedIn"
ZenABM is the better fit when you need:
- Processed ABM signals (intent, stages, engagement score) — not just raw ad data
- ABM initiative reporting (group campaigns by product/persona/market)
- Pipeline + ROAS visibility at the ABM campaign level
- CRM activation without building fragile HubSpot workflows
- AI analysis to understand what's working, fast
Pick Fibbler if your goal is:
"Control LinkedIn ads"
Fibbler is the better fit when you need:
- Scheduling + impression capping now
- Organic page engagement insights
- A tool that's closer to LinkedIn ops + raw export
The "use both" setup
A lot of teams run:
- •ZenABM for ABM analytics + intent + scoring + CRM activation
- •Fibbler for scheduling + impression capping
…until ZenABM's control features fully cover the ops needs.
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