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ZenABM vs Factors.ai: Which tool is better for LinkedIn ABM?

Both tools help with account-based marketing and analytics.
The difference: ZenABM is purpose-built for LinkedIn ABM with deep ad-level deanonymization, intent signals, and ABM stages. Factors.ai is a broader multi-channel analytics platform covering website, ads, and CRM data.

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37-day free trial + FREE plan afterwards

HubSpot + Salesforce Webhooks Starts at $59/mo Built for LinkedIn-first ABM
ZenABM
ZenABM Analytics Dashboard - Revenue Metrics & Campaign Performance
Analytics & Revenue Attribution Dashboards(1/6)
Factors.ai
Factors.ai Dashboard - Multi-Channel Analytics
Multi-Channel Analytics Dashboard(1/5)

Quick summary (TL;DR)

Choose ZenABM if…

  • You run LinkedIn Ads as your primary ABM channel
  • You want deep deanonymization of LinkedIn ad engagement at the company level
  • You need intent signals, account funnel stages, and engagement scoring from LinkedIn data
  • You want ABM initiative structure (group LinkedIn campaigns into initiatives)
  • You want ABM-ready CRM properties from LinkedIn (stage, score, intent)
  • You want to chat with your LinkedIn ABM data using Zena AI (no CSV exports)
  • You want affordable pricing ($59/mo vs $399/mo)

Choose Factors.ai if…

  • You want cross-channel (Google Ads, LinkedIn Ads) account journeys & intent signals
  • You are ready to use a granular, but complicated tool for advanced users
  • You are happy to pay $10,000+/year
  • You don't need ABM focus

ZenABM vs Factors.ai: Feature-by-feature comparison

for LinkedIn ABM

FeatureZenABMFactors.ai
Core Focus
Primary purposeBuilt for LinkedIn-first ABM: deanonymize LinkedIn ads, track intent, stages, scoring, and activate in CRMMulti-channel analytics platform: website visitor ID, cross-channel attribution, product analytics
LinkedIn ad deanonymization depthDeep: impressions, clicks, engagements at ad/campaign level per companyLimited: relies on LinkedIn Ads integration but less granular ad-level data
Multi-channel data sourcesLinkedIn-first: deep LinkedIn focus + CRM integrationBroad: 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)Customizable stages (aware/engaged/interested/selecting/etc.)Limited: basic account journey tracking
Account scoring (hottest accounts)Engagement score + stage movement for prioritizationYes: ML-based account scoring available
Intent signals from LinkedIn adsInfer intent from what campaigns/messages an account engaged withLimited: intent mainly from website and G2 data
Target account list managementUpload & manage target account lists directly in-appYes: account list support
Account-based alerts & notificationsAlerts when key accounts hit engagement thresholdsYes: workflow alerts available
LinkedIn-Specific Depth
Company-level LinkedIn ad engagement viewDedicated company pages: campaigns engaged + timeline + searchable/exportableBasic: account-level view but less LinkedIn ad depth
Campaign-level view: company breakdownClick into a campaign → see which companies engagedLimited: campaign analytics less granular for LinkedIn
Company timeline / engagement historyFull timeline of all LinkedIn touchpoints per companyYes: account timeline across channels (web-focused)
LinkedIn video ad insightsDeep video metrics: views, completions, engagement by companyLimited video-specific insights
Analytics
ABM analytics dashboardsDeep dashboards (initiative + campaign + time comparisons)Broad dashboards: multi-channel but less LinkedIn-specific
Revenue attributionABM-focused reporting + initiative-level trackingMulti-touch attribution across channels
AI analysisZena AI (chat with your LinkedIn ABM data)AI features for insights and recommendations
Funnel conversion analyticsTrack stage-to-stage conversion ratesYes — funnel analytics available
Data & Speed
Data processing & speedStored + processed in-app for fast UX on LinkedIn dataReal-time processing but broader data complexity
Historical data retentionFull historical data stored indefinitelyVaries 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 CRMHigh (trigger workflows on stage/intent/score from LinkedIn)High (but less LinkedIn-specific enrichment)
Webhooks
Slack integrationReal-time alerts to Slack channelsYes: Slack notifications
Platform Scope
Website visitor trackingCore feature (IP-based deanonymization)
Product analyticsYes: in-app user behavior tracking
G2 intent data integrationYes: G2 buyer intent signals
LinkedIn Ads optimization controlsComing soon (Jan 2026)
Pricing
FREE planYes (launching Feb 2026)Yes: limited free tier
Pricing (starting)$59/mo paid plans + FREE plan (Feb 2026)$399/mo (Growth plan)
Free trial37 days (reverse trial → Free plan)14 days
Multi-seat / team pricingUnlimited seats on all plansSeat-based pricing on some plans

Which should you pick?

(Fast decision)

Pick ZenABM if your goal is:

"LinkedIn-first ABM"

ZenABM is the better fit when you need:

  • LinkedIn is your primary ABM channel and you need deep ad-level insights
  • Processed ABM signals (intent, stages, engagement score) from LinkedIn ads specifically
  • ABM initiative reporting (group LinkedIn campaigns by product/persona/market)
  • CRM activation with LinkedIn-specific enrichment (stage, score, intent)
  • AI analysis to understand what's working on LinkedIn, fast
  • Affordable pricing starting at $59/mo with unlimited seats

Pick Factors.ai if your goal is:

"Multi-channel analytics"

Factors.ai is the better fit when you need:

  • Cross-channel (Google Ads, LinkedIn Ads) account journeys & intent signals
  • A granular, but complicated tool for advanced users
  • A budget of $10,000+/year
  • No specific ABM focus needed

The "use both" setup

Some teams use both tools for complete coverage:

  • ZenABM for 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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