Managing LinkedIn ad spend and then trying to tie it to actual revenue in a spreadsheet is bound to leave gaps.
You need specialized revenue attribution software that understands account‐based marketing on LinkedIn.
Below, we explore the top ten LinkedIn ad revenue attribution platforms for 2025.
Each entry covers:
- An overview of its key capabilities
- How it captures account‐level impressions and engagement
- Its CRM integration model
- Whether it uses LinkedIn’s official API
- Pricing (where disclosed) and ideal use cases
- Pros and cons in an ABM context
Let’s go!
10 Best LinkedIn Ad Revenue Attribution Software 2025: Tabulated Summary
| Platform | Account Impression Tracking | Two-Way CRM Sync | Official API Data | Price Range | Best For |
|---|---|---|---|---|---|
| ZenABM | ✅ | ✅ (native, bidirectional) | ✅ | $59–$119/mo | Pure‐play LinkedIn ABM revenue mapping |
| Factors.ai | ✅ | ❌ (data pull only) | ✅ | $399–Custom | AI-driven audience control and impression capping |
| Demandbase One | ✅ | ✅ (multi-CRM, bidirectional) | ✅ | Custom | Enterprise ABM suite with intent bidding |
| Terminus | ⚠️ (matched audiences only) | ✅ | ✅ (limited scope) | Custom | Campaign management + Salesforce sync |
| HockeyStack | ✅ | ❌ (requires custom workflow) | ✅ | Custom | Multi-touch analytics with person-level detail |
| LeadsRx | ❌ (cookie pixel) | ❌ (manual setup) | ❌ | Custom | Offline + online channel attribution |
| 6Sense | ❌ | ✅ | ❌ | Custom | Preditictive intent and segmentation |
| HubSpot Attribution | ❌ | ✅ (native) | ❌ | $800–$3600/mo | Contact-level click attribution for HubSpot users |
| CommonRoom | ❌ (engagement only) | ✅ | ❌ | $999–Custom | Community engagement signals |
| Windsor.ai | ❌ | ❌ (manual mapping) | ❌ | $19–$499+ | Data centralisation and custom attribution models |
Key Requirements for LinkedIn Revenue Attribution Software
Here’s what a good LinkedIn ad revenue attribution software should have at the very least:
Account‐Level LinkedIn Ad Impression Capture
LinkedIn ads often serve awareness goals more than direct clicks, with average CTR around 0.44%. To measure true ad influence, you must track how many accounts saw your ads, even if no click occurred. Only LinkedIn’s official API offers reliable, first‐party impression data.
Two-Way CRM Integration
Your software should:
- Push account‐specific ad metrics—impressions, clicks, spend—into your CRM automatically
- Map engagement data back to CRM deals so you can attribute pipeline and revenue directly to LinkedIn campaigns
First-Party LinkedIn API Data
Third‐party scrapers and cookies are brittle or blocked. Only direct API integration ensures GDPR compliance and accurate engagement metrics.
ZenABM
ZenABM focuses exclusively on LinkedIn ad attribution for ABM. It captures account‐level impressions, reactions, clicks, and spend via the LinkedIn API. Data syncs bidirectionally with HubSpot (and soon Salesforce), matching engagement to deals and calculating ROI in real time.
Core Features
- Impression & Engagement Capture: Records every account that saw, liked, or clicked an ad, regardless of site visits.
- Real-Time Scoring & BDR Routing: Generates a rolling engagement score (e.g. last 7 days) and automatically assigns hot accounts to your sales reps.
- Revenue Mapping: Pulls deal values from your CRM and ties them back to the ad engagement that influenced those accounts.
- Plug-and-Play Dashboards: Prebuilt ABM dashboards for pipeline influenced, ROAS, deal velocity, and campaign performance.
Pricing & Plans
- Starter: $59/mo (billed annually): Core impression tracking, one campaign, basic scoring, HubSpot sync.
- Growth: $75/mo: Custom scoring rules, three campaigns, Slack alerts, email reports.
- Pro: $119/mo: Unlimited campaigns, client-specific dashboards, AI-powered workflows.
- Free trial available.
Pros & Cons
- Pros: Affordable, easy to set up, native HubSpot integration, truly account-based metrics.
- Cons: Limited to LinkedIn ads (no multi-channel tracking), no visitor deanonymization, no list building.
Factors.ai
Factors.ai is an AI-powered LinkedIn ABM advertising platform. It pulls impression and engagement data from LinkedIn’s API into its AdPilot module for audience building and impression capping. It integrates with CRMs but does not push data automatically. You must build workflows yourself.
Key Capabilities
- AdPilot: AI-driven audience builder, LinkedIn CAPI integration for conversion signals, and impression capping per account.
- Intent Capture: Combines ad engagement with website behavior to identify rising accounts.
- Workflow Automation: Zapier-style connectors to MAPs, CRMs, Slack, etc.
Pricing
- Free plan: 200 companies/month basic insights
- Basic: $399/mo: LinkedIn intent, deeper analytics, basic CRM integrations
- Growth: $999/mo: ABM analytics, workflows, multi-channel attribution
- Enterprise: Custom
Pros & Cons
- Pros: Advanced audience control, impression capping, and AI-powered optimizations.
- Cons: High entry price, no native CRM push, some UI/workflow quirks reported.
Demandbase One
Demandbase One delivers full LinkedIn API access for company impression tracking, frequency capping, intent-based bidding, and extensive CRM integrations (HubSpot, Salesforce, Dynamics, Marketo, and more). It is feature-rich but comes with enterprise-level complexity and cost.
Standout Features
- Frequency Capping: Prevents ad overexposure to individual accounts.
- Intent Bidding: Adjusts bids based on account intent signals from 40,000+ data sources.
- Multi-Channel Orchestration: Coordinates LinkedIn ads with website personalization, display, and email.
Pricing
Custom enterprise pricing. You must request a demo.
Pros & Cons
- Pros: Deep ABM feature set, robust integrations, granular controls.
- Cons: Steep learning curve, high cost, overkill for smaller teams.
Terminus
Terminus integrates with LinkedIn Marketing Solutions for matched audience impression tracking. It syncs account engagement and funnel stage updates back into Salesforce and HubSpot, but only for accounts you upload or that exist in your CRM.
Main Features
- Matched Audiences: Only tracks impressions for CRM-sourced or uploaded lists.
- Account Hub: Centralises ad and site engagement with Salesforce integration.
- Multi-Channel Attribution: Unifies data from display, digital, and offline touchpoints.
Pricing
Pricing undisclosed, demo required.
Pros & Cons
- Pros: Deep Salesforce sync, campaign creation within Terminus, executive dashboards.
- Cons: Limited impression scope, cost can be prohibitive for LinkedIn-only use cases.
HockeyStack
HockeyStack offers first‐party LinkedIn impression tracking and CRM deal matching for attribution. It excels at combining LinkedIn data with 17+ other touchpoints like G2 intent, email, forms, calls, into custom dashboards. Native CRM push workflows must be built manually.
Highlights
- Person & Account Attribution: Tracks both individual and company journeys.
- Golden Paths: Visualises the most common engagement sequences leading to conversion.
- Multiple Models: Compare attribution across time decay, linear, position-based, and more.
Pricing
Sales-led, demo required. No public pricing.
Pros & Cons
- Pros: Rich multi-channel insights, flexible attribution, and visual funnel analytics.
- Cons: No out-of-the-box CRM push, person-level data may be inaccurate via reverse IP, UI complexity.
LeadsRx
LeadsRx uses a proprietary pixel for LinkedIn impression tracking and cookie-based user journeys across online and offline channels. It imports CRM deals for revenue mapping but does not leverage LinkedIn’s API, so account accuracy depends on form fills and CRM identification.
Core Strengths
- Universal Pixel: Tracks radio, podcast, display, and LinkedIn impressions alike.
- User Journey Mapping: Timeline of multi‐channel interactions leading to conversion.
- ROAS Dashboards: Prebuilt revenue dashboards for any channel combination.
Pricing
Sales-led, contact for a quote. No public pricing.
Pros & Cons
- Pros: Broad channel coverage, intuitive journey maps, detailed conversion credit.
- Cons: No official API data, account grouping relies on CRM identity, and setup complexity.
6Sense
6Sense combines web deanonymization (6Graph), predictive intent scoring, and CRM integration. Its LinkedIn connection supports campaign audience management but not account‐level impressions. Attribution depends on site visits and identifiable clicks.
Key Strengths
- Predictive Segments: Build audiences based on intent signals and AI forecasts.
- Contextual Targeting: Place ads near relevant content using keyword policies.
- Persona Mapping: Identify job roles within engaging accounts.
Pricing
Custom; demo required.
Pros & Cons
- Pros: Advanced AI segmentation, multi-touch integration, robust predictive analytics.
- Cons: No true impression tracking, high cost, steep learning curve.
HubSpot Marketing Attribution
HubSpot’s native ads integration records LinkedIn ad clicks and form submissions for contact‐level attribution across first-touch, last-touch, linear, U-shaped, W-shaped, and time decay models. It does not record impressions or account metrics.
Notable Points
- Multiple Models: Toggle between six built-in attribution frameworks.
- All-in-One: CRM, MAP, and reporting in one system.
Pricing
- Marketing Professional: $800/mo: contact attribution, custom reports
- Marketing Enterprise: $3600/mo: multi-touch revenue attribution
Pros & Cons
- Pros: Seamless for HubSpot users, easy reporting, fixed cost.
- Cons: No impressions, only contact-level credit, limited customisation.
CommonRoom
CommonRoom aggregates community forums, social media, and product usage signals to surface engaged accounts. It pulls LinkedIn engagement data like reactions and comments, but does not track paid ad impressions. CRM sync pulls contact and company lists for enrichment and segmentation.
Core Advantages
- Firmographic Enrichment: Turns emails into full company profiles.
- RoomieAI: An AI bot that answers queries on community trends and engagement.
- Chrome Extension: One-click addition of LinkedIn contacts to CommonRoom lists.
Pricing
- Starter: $999/mo (35k contacts, 2 seats)
- Team: $1999/mo (100k contacts, 3 seats)
- Enterprise: Custom
Pros & Cons
- Pros: Deep community insights, firmographic data, and AI assistance.
- Cons: No paid ad impressions, high cost, reported bugs in AI features.
Windsor.ai
Windsor.ai centralises data from CRMs, ad platforms, MAPs, analytics tools, and more—over 300 sources. It offers fully customisable attribution models and manual account grouping. It does not natively support LinkedIn view‐through impressions at the account level.
Strengths
- Custom Attribution: Build your own model or use predefined ones with adjustable weights.
- Data Exports: Raw data access for BI or data science work in Python or R.
- Multi-Touch Reports: Compare channel performance side by side.
Pricing
- Free: 1 user, 1 source, 30-day history
- Basic: $19/mo: 3 sources, 75 accounts
- Standard: $99/mo: 7 sources, 200 accounts, hourly refresh
- Plus: $249/mo: 14 sources, 500 accounts
- Professional: $499/mo: 14+ sources, 500+ accounts
- Enterprise: Custom: Up to 300 sources, premium support
Pros & Cons
- Pros: Extreme flexibility, data export, and custom models.
- Cons: No account impression tracking, manual setup, not plug-and-play for ABM.
Conclusion
For precise LinkedIn ad revenue attribution in an ABM context, you need:
- Account-level impression and engagement data via LinkedIn’s API
- Seamless, bidirectional CRM integration
- Automated revenue and pipeline mapping
ZenABM meets these requirements at an accessible price point and with an ABM-centric design. If your needs extend beyond LinkedIn or include multi-channel analytics, consider Factors.ai, Demandbase One, or HockeyStack, but prepare for higher complexity and cost. Also, a lot more features that you might not use will come with the bundle.
Ready to attribute every LinkedIn ad dollar to actual revenue?
