Attributing revenue, ROI, etc., to your LinkedIn ad campaigns cannot be done in Excel workbooks or Notion tables.
You’ll have to add a dedicated tool to your tech stack.
So, here’s a list of the 10 best LinkedIn ad campaign attribution tools with a laser focus on features that can help you give each LinkedIn ad campaign its true credit, dollar by dollar.
Here we go!
| Tool | Company + Campaign-Level Impression Tracking | Two-Way CRM Integration | First-Party LinkedIn API Data | Pricing | Summary |
|---|---|---|---|---|---|
| ZenABM | ✅ | ✅ (native, bi-directional) | ✅ (via LinkedIn API) | $59–$119/mo | Tailored for LinkedIn ABM, affordable, seamless HubSpot sync, and direct deal mapping. |
| Factors.ai | ✅ | ❌ (pulls data, no native push) | ✅ (via LinkedIn API) | $399–Custom | Strong in impression control and LinkedIn AdPilot, but lacks native CRM push features. |
| Demandbase | ✅ | ✅ (multi-CRM, bi-directional) | ✅ (via LinkedIn API) | Custom | Powerful end-to-end ABM solution with intent bidding and frequency capping; pricey and complex. |
| Terminus | ⚠️ (only for Matched Audiences) | ✅ (bi-directional) | ✅ (limited to matched audiences) | Custom | Good for campaign management and Salesforce integration, but tracking scope is limited. |
| HockeyStack | ✅ | ❌ (only pull; native workflow building needed) | ✅ (via LinkedIn API) | Custom | Rich visual analytics, person-level tracking, but has UI challenges and a learning curve. |
| LeadsRx | ❌ (cookie-dependent) | ❌ (custom setup needed) | ❌ | Custom | Supports online + offline attribution, but lacks official LinkedIn API and native company tracking. |
| 6Sense | ❌ | ✅ | ❌ | Custom | Strong in segmentation and targeting, but misses impression-based attribution capabilities. |
| HubSpot Attribution | ❌ | ✅ (internal) | ❌ | $800–$3600/mo | Simple for existing HubSpot users, but limited to contact-level tracking, no ABM focus. |
| CommonRoom | ❌ (tracks engagement only) | ✅ | ❌ (different LinkedIn API for contacts, not impressions) | $999–Custom | Great for community-driven insights, but not ideal for detailed LinkedIn ad attribution. |
| Windsor.ai | ❌ | ❌ (manual account grouping) | ❌ | $19–$499+ | Excellent for data centralisation and modelling, but not designed for ABM attribution. |
Your tool can have the fanciest dashboard and a huge list of integrations, but without the following prerequisites, it won’t cut it:
People don’t click on LinkedIn ads (CTR is as low as 0.44% for sponsored content), and this platform is more about brand awareness and multi-touch attribution.
Your customer may see your ad on a ride back home and later search for you *organically* on Google, but that’s not *truly organic*. B2B buyer journeys are often so complex.
So, if you are running an ABM campaign using LinkedIn ads, you must track company-level impressions for each campaign to see all ads that have contributed to the deal closure.
What about contact-level impression tracking?
That’s not provided by LinkedIn’s official API, and reverse IP-based matching third-party tools are often inaccurate
Your ad campaign attribution tool must have a solid two-way integration with your CRM. Here’s exactly what it should do:
Automatically sync company-specific impressions and engagement metrics directly into CRM platforms like HubSpot or Salesforce. This integration saves you countless hours of manual data entry and ensures all insights are readily accessible.
Your attribution tool must match company names from your CRM deals with ad performance data to directly link your advertising efforts to your sales pipeline. For instance, if your sales team logs a $2,000 deal with Company X, and Company X reaches the set threshold of ad impressions, this activity should automatically reflect in your attribution tool – “$2000 more in the pipeline.”
LinkedIn has been cracking down on data scrapers and third-party automation:
Website visitor deanonymization tools are unreliable (also they can only track clicks):
DANs also turn out to be disappointing with their bot fraud and false positives.
Realisation?
First-party company-level engagement data pulled directly from LinkedIn’s official API is essential for your attribution tool.
Now, let’s look at the top 10 LinkedIn ad attribution tools, what they are great for, whether they fulfil the prerequisites and more.
ZenABM is a purpose-built LinkedIn ads ABM tool. From LinkedIn ad view-through attribution and CRM integration to plug-and-play ABM dashboards and intent analysis, ZenABM has it all (and more’s coming…).
Fulfil?
The prerequisites we discussed above are, in fact, foundational to the tool:
ZenABM captures every company that:
So now, you can attribute impact even when there’s no form fill, no click, no like, or no comment!
Example: Company X saw your LinkedIn ad 50+ times but never clicked. They later came inbound. With ZenABM, you know that ad planted the seed. Plus, even if they came to your site by clicking an ad, you’ll know what other ads the company had an impression for, so you attribute the ROI to all ads that brought about the awareness.
Also, ZenABM pulls this data from LinkedIn’s official API.
ZenABM’s CRM integration is native, no-code and bi-directional:
ZenABM maps LinkedIn campaign engagement to deals in your CRM:
And not just the overall pipeline, you can also see the value of each deal as matched from your CRM:
So you can finally say:
ZenABM pushes LinkedIn Ad engagement data to HubSpot as company properties like “LinkedIn Ad Engagements – 7 days” and “LinkedIn Ad Clicks – 7 days.”
Also, you can accumulate these metrics over time into properties like “Cumulative LinkedIn Ad Engagements” and “Cumulative LinkedIn Ad Clicks,” providing a running total for each account.
ZenABM calculates a real-time “Current Engagement Score” based on impressions, clicks, and recency:
Then? ZenABM assigns those accounts to your BDRs in HubSpot without you lifting a finger:
Also, ZenABM tracks your buyer’s intent based on your campaigns:
Your team works the right accounts. At the right time. Lures prospects with the right feature ;).
With ZenABM, you don’t have to build reporting systems of your own in your CRM or Excel.
The tool provides plug-and-play ABM dashboards to calculate metrics like ROI, ROAS, etc, of your LinkedIn ads ABM campaigns:
In short, ZenABM helps you switch from click-through to view-through attribution model, while also providing a hub to do all the ABM Math!
If you want to know more about the tool, you can book a demo here.
ZenABM is highly focused on LinkedIn ABM. Unlike most other ABM tools, it does not perform website visitor deanonymization, account intelligence, display ads tracking, target account list building, etc.
Bottom Line: ZenABM is not a feature-heavy multi-channel ABM tool. It’s only meant for LinkedIn ads attribution, but for this, it’s enough and the most affordable.
ZenABM offers three straightforward plans designed to grow with your ABM journey.
The Starter plan ($59/month, billed annually) is ideal for small teams, providing insights into LinkedIn company engagement, default account scoring derived from CRM and ad data, intent tracking at the campaign level, one ABM campaign, and native two-way HubSpot integration.
Upgrading to the Growth plan ($75/month) introduces customizable scoring, individual dashboards for up to three campaigns, and planned enhancements such as automated BDR assignment, Slack notifications, and weekly performance summaries.
The Pro plan ($119/month), designed for larger teams and agencies, includes unlimited campaigns, dedicated client dashboards, and forthcoming AI-driven tools like intelligent impression management and automated campaign workflows.
All plans come with a free trial, and if you need to know more, you can book a demo here.
Factors.ai is a LinkedIn ABM advertising platform. Apart from LinkedIn ad solutions, the tool also helps with Google ads, Facebook ads, marketing automation, workflow-building, intent capture, account intelligence with website visitor deanonymization, lead scoring, multi-touch attribution and more.
Yes, Factors.ai fulfils the following important requirements:
Factors.ai pulls first-party engagement data (clicks, impressions, and spends) from LinkedIn’s official API to a campaign group/campaign level, so you can see the companies that viewed your ads and not just the ones that clicked.
Factors.ai integrates with CRMs like HubSpot and Salesforce to match the engaged account names with the deals in your CRM, so you can see the accounts and their value added to your pipeline from each ad campaign and also attribute credit to all the ads that contributed to a deal closure or pipeline addition.
For example:
Note: As discussed in the prerequisites about two-way CRM integration, Factors.ai lacks a ready-made workflow to push all LinkedIn engagement data as company property to your CRM, and you’ll have to build it on your own (yes, it can be built natively).
Factors.ai has a dedicated AI-powered solution called LinkedIn AdPilot that offers these advanced features for your LinkedIn ad campaigns:
Factors.ai builds accurate target audiences by combining data from multiple sources. This eliminates the need for manually uploading audience lists into LinkedIn Campaign Manager, as you can manage and update these audiences directly from Factors.ai. Additionally, its integration with LinkedIn Ads CAPI enables you to fine-tune your audience segments using conversion insights gathered from both online and offline interactions.
It helps balance ad delivery across your target accounts, preventing some companies from seeing too many ads while others see too few. This way, larger companies won’t dominate your impression share—you can automatically stop serving them ads once they hit a set impression or click limit.
Factors.ai’s additional features include:
Factors.ai allows you to build workflows to connect MAP. CRM, Slack, etc., natively.
Tracks and credits all marketing interactions a lead has before converting, giving a complete picture of which efforts are most effective. This also helps see how LinkedIn ads are performing compared to other channels and where LinkedIn ads lie in the funnel.
Though the tool almost passes our basic criteria, it has the following limitations:
Bottom Line: Factors.ai excels at impression capping, audience segmentation, company-level impression tracking, and leveraging LinkedIn CAPI integration to attribute offline conversions. However, it has one limitation — it doesn’t natively push company-level engagement data into HubSpot as company properties. If you need that functionality, you’ll have to set up the workflow manually.
Factors.ai offers pricing options starting from a free plan, ideal for startups wanting to access basic visitor insights. The Free plan allows identification of up to 200 companies per month and includes fundamental visitor analytics.
The Basic plan ($399/month) unlocks advanced LinkedIn intent tracking, deeper analytics, and basic CRM integrations—making it a strong fit for SMBs managing LinkedIn ABM campaigns internally.
The Growth plan ($999/month) takes it further, offering ABM analytics, LinkedIn and G2 attribution, automated workflows, and broader integration capabilities, designed for mid-market businesses.
For large enterprises or agencies, the Enterprise plan (custom pricing) delivers a full suite of tailored solutions, including multi-touch attribution and extensive integrations.
Demandbase is an end-to-end ABM platform. From target account list building to LinkedIn ad ROI attribution and reporting, you name it, and Demandbase can help you do it. Also, Demandbase is the brand and Demandbase One is the name of their platform.
Yes, Demandbase fulfils all the prerequisites for LinkedIn ad attribution:
Demandbase One is a certified LinkedIn partner and has access to LinkedIn’s official API for tracking company-level ad engagement data (Demandbase focuses on ABM, so company/account-level reporting is actually very inherent to the tool).
Demandbase One provides bi-directional integration with CRMs like HubSpot, Salesforce, Microsoft Dynamics 365, Marketo, Pardot, and Oracle Eloquae so you can measure the impact of each LinkedIn ad on your pipeline and closed deals, push company-level engagement data, and even funnel stage movement into your CRM.
In fact, a user on Capterra said, “Demandbase has a seamless UI that makes it easy to work in. I don’t expect sales to actually log into the platform, so the Salesforce integration is really important.”
Well, the additional features of Demandbase One surrounding LinkedIn ads are many.
Let’s have a look at the most valuable ones:
LinkedIn can sometimes deliver a lot of impressions to a single account, wasting your budget, but with Demandbase, you can limit the impressions for a specific campaign and period:
Basic geographical and job-type/level targeting is something you can do in LinkedIn Campaign Manager. But with Demandbase, you can prioritise bidding based on Intent.
You can choose intent keywords from Demandbase’s list, targeting users actively interested in your product or service:
For instance, if people from a particular company are actively searching for terms like “enterprise software solutions,” you can serve them highly targeted ads that match their specific needs based on that keyword. This way, you’re reaching prospects who already have strong buying intent.
And if you’re curious about where this intent data comes from, Demandbase taps into over 40,000 data sources combined with its own proprietary technology to monitor account activity across the web, such as relevant Google searches tied to your offerings.
Demandbase is a comprehensive ABM platform, but its pricing can be steep for smaller businesses. Given its wide range of features, some teams may find it hard to justify the cost.
Plus, the sheer depth of functionalities can make setup and navigation challenging.
Bottom Line: Demandbase is a powerful all-in-one ABM solution if you’re running campaigns across multiple ad channels, have a sizeable budget, and are ready to invest time in training your team to fully leverage the platform.
Demandbase hasn’t publicly disclosed its pricing packages, and you’ll have to book a demo.
Terminus is an account-based marketing platform known for its advertising focus and multi-channel engagement features. It has a strong integration with LinkedIn Marketing Solutions, launched in 2021 to enable real-time data syncing, making it well-suited for LinkedIn ad attribution and similar use cases.
Yes, Terminus passes out basic criteria, but only partially:
With Terminus Account Hub, you can track company-level LinkedIn ad impressions pulled from LinkedIn’s official API. But you can only track companies either pulled from your CRM or uploaded by you as a Matched Audience while setting up the ad campaign.
Terminus offers excellent CRM integration capabilities.
Its connection with Salesforce is particularly strong, so much so that your sales team might not even need to access Terminus directly.
Accounts from your CRM are automatically matched with those engaging with your ads. You can track ad impressions for these matched accounts, and as they hit impression, engagement, or click milestones, they’ll move through funnel stages right inside your CRM, keeping your marketing and sales teams perfectly aligned.
And yes, CRM integration also includes tying your ads’ impact to pipeline and revenue:
Here are some notable features Terminus has for your LinkedIn ads strategy:
Terminus consolidates all your ad campaigns from platforms like LinkedIn and DANs into a single dashboard, making it easy to compare performance and attribute results.
It also gives you visibility into marketing activities across multiple touchpoints—such as chats, video views, downloads, form submissions, website interactions, ad impressions, and highlights accounts with the highest overall engagement.
From setting up the target audience to even ad creatives, you can build your entire LinkedIn ad campaign natively in Terminus:
Terminus integrates with tools like Outreach, SalesLoft, Uberflip, and intent data sources like Bombora to trigger targeted LinkedIn ad campaigns.
Major cons reported by users are:
Bottom Line: Terminus has it all for LinkedIn ad attribution, but it may not be the most economical if you are only running ABM on LinkedIn – there are cheaper and equally effective tools available for LinkedIn ad attribution.
Terminus has merged with DemandScience to become a part of it.
You’ll have to book a demo with the DemandScience team for pricing details as they are not publically disclosed.
HockeyStack is a modern B2B analytics and attribution platform. It has deep integration with LinkedIn Ads and also integrates marketing touchpoints on your site and CRM to draw out a complete customer journey. It focuses on not only account-level but person-level journey tracking too!
Yes, HockeyStack almost passes our basic criteria:
HockeyStack pulls first-party company-level impression data from LinkedIn’s official API – that’s safe and true LinkedIn ad view-through attribution.
Yes, HockeyStack also integrates with your CRM to pull deals data to match it with the accounts engaging with your LinkedIn ad campaigns, which helps you see the direct impact of each LinkedIn ad on your pipeline and revenue.
Note: Just like Factors.ai, HockeyStack’s CRM integration is also not two-way. It does not have ready-made workflows to push company-level engagement data as company properties into your CRM. Though you can make a workflow natively:
HockeyStack just aces multi-channel + multi-touchpoint attribution with sources about 17 sources like G2 intent, reverse IP lookup-based website visitor deanonymization, form submissions, deals in CRM, sales calls, e-mails, LinkedIn ad impressions, etc..
The tool dives deeper to give you not just account but person-level data. It identifies and associates specific users with their companies and groups them as part of the account. So you can see the influence company but also individuals from the company and how they were influenced by different marketing channels:
For instance, there’s an anonymous entry in the screenshot above. That is a user who visited a website and their company was identified with HockeyStack’s reverse IP lookup technology (yes, this tech can be frequently inaccurate). Later, if the user fills a form on the site, they’ll be deanonymized.
Also, HockeyStack’s dedicated attribution dashboard helps you see attribution based on different models like time decay, position-based, etc., in one place:
HockeyStack helps you visualise your LinkedIn-influenced funnel, too:
This visualisation helps you see how users/accounts move through your funnel, touching different marketing points and where they drop off.
HockeyStack’s golden paths help you compare the impact of LinkedIn ads with other channels with detailed impact scores and path visualisation:
HoneyStack’s CRM integration is only one way, and it can’t push LinkedIn ad engagement data as company property into your CRM.
Although its person-level tracking may look promising, it is ultimately unreliable because it relies on cookies and reverse IP lookup technology.
Additionally, users on G2 have reported bugs, UI/UX issues and have pointed out that the tool lacks out-of-the-box insights – you may need to build time-consuming custom reports. The tool isn’t easy to navigate either for ABM attribution, and you might require ongoing collaboration with HockeyStack’s team to fully utilise it.
Bottom Line: HockeyStack can only pull from but can’t push data to your CRM, and can have a budget. Yet, it’s great at company-level impression tracking for LinkedIn ads, along with attribution for 16 more channels. This will help you compare your LinkedIn ROI with others and the role and position of LinkedIn in your entire marketing funnel, not to forget the visualisation features and person-level tracking too.
HockeyStack seems to be a sales-led platform because you’ll have to book a demo to know their pricing packages.
You can explore more on their pricing page.
LeadsRx is a long-standing multi-touch + multichannel attribution platform. It’s known for tracking both online and offline channels with its “Universal Tracking Pixel.”
LeadsRx meets the basics, but only partially.
It can attribute LinkedIn ad conversions even without direct clicks—but it doesn’t pull data from LinkedIn’s official API. Instead, it uses its own tracking pixels that drop cookies on users’ browsers. If a user later visits your site and converts, LeadsRx ties the conversion back to the earlier ad impression.
For LinkedIn lead gen forms, tracking is possible too, but only if you set up a webhook manually.
On the CRM side, LeadsRx integrates well with platforms like HubSpot and Salesforce, pulling in deals for attribution. However, it’s not plug-and-play—its UI tracks anonymous journeys, and company-level reporting only happens if your CRM or website helps match users to accounts.
In short: LeadsRx doesn’t fully meet our prerequisites. Its impression tracking relies on cookies, not LinkedIn’s API, and company identification depends heavily on your CRM and form data.
LeadsRx is superb for conversion attribution when you are running ads and organic marketing campaigns on too many channels:
You just have to use their proprietary “Universal Pixel” and you’ll be able to track not just Google or LinkedIn ads but your radio ads, podcast attribution, event attribution – you name it:
Another strength is user-journey mapping:
With journey mapping, LeadsRx truly utilises multi-touchpoint and multichannel attribution the best by literally drawing out what the user did in a timeline. You can see how your user first saw an ad, then attended a webinar, then heard a radio ad maybe, then came to your site and finally converted!
If you are running ads on too many platforms, including or excluding LinkedIn and hate math, it has a comprehensive ROAS calculation dashboard too:
Bottom Line: LeadsRX is a giant hub of multi-channel + multi-touchpoint attribution. Yet, if you intend to run comprehensive ABM with a laser focus on LinkedIn ads, its attribution dependence on cookies (rather than official LinkedIn API) and lack of plug-and-play company-level reporting make it inadequate.
LeadsRx is a sales-led business, and you’ll have to contact their sales reps for a quote.
6Sense’s Revenue AI platform is known for its account identification, intent data, and predictive analytics.
Historically, 6Sense mainly relied on its patented web visitor deanonymization technology called 6Graph, but in 2023, 6Sense launched a tight integration with LinkedIn ads.
No, 6Sense doesn’t fulfil all the prerequisites:
Account-level impression tracking is not available. For LinkedIn ads attribution, a click on the ad is necessary so that the lead visits your site and gets deanonymized by 6Sense web pixel.Here are some exquisite features 6Sesne boasts related to ads:
You can only do basic segmentation, like job level, seniority level, geographic level, etc. in LinkedIn Campaign Manager. With 6Sense you can choose a variety of filters to create perfectly segmented audiences and run specific LinkedIn ad campaigns for specific audiences controlled natively from 6Sense.
For instance, you can create a segment based on accounts in a specific country that are in a specific buying stage with a minimum Salesforce account value.
If your ads are displayed close to relevant organic content, the chances that the viewer will click or at least engage with the ad increase manifold, and you can do that with 6Sense – you just have to choose specific keywords:
With 6Sense, you can drill down into your account-level impact to see exactly which job-roles have been covered via your marketing efforts.
Apart from a lack of company-level LinkedIn ad impression tracking, users have reported these minor flaws:
Bottom Line: 6Sense is an end-to-end ABM tool for running display ads, but it cannot help you attribute results to each specific LinkedIn ad. Its attribution is more click-based and insufficient if you prefer a view-through attribution model.
6Sense hasn’t revealed its pricing publicly and you’ll have to contact their sales reps for a quote.
HubSpot is a very popular CRM cum MAP with different capabilities available in its different tiers of subscription. It has a dedicated module for marketing attribution called “HubSpot Marketing Attribution”, which can be utilised for LinkedIn ad attribution by integrating HubSpot with your LinkedIn ads account.
Btw, if you want to learn how to push LinkedIn ads data into HubSpot, check our LinkedIn ads HubSpot Integration guide.
No, it misses our basic criteria:
If you don’t need company-level impression tracking or view-through attribution, and you’re fine with tracking attribution at the contact level through clicks, HubSpot is perfect. It combines CRM and attribution in one convenient tool.
For example, HubSpot can connect LinkedIn ad clicks directly to your contacts. You can then link those contacts to revenue from deals and create a “revenue attribution” report. This makes it easy to see exactly how each LinkedIn ad click contributes to your revenue – all within HubSpot.
Regarding HubSpot’s attribution models, you can choose from First Touch, Last Touch, Last Non-Direct Touch, Linear, U-Shaped, W-Shaped, and Time Decay models. You can toggle between these models to see how credit for conversions or revenue would be split:
Apart from lacking impression-tracking, experts have also pointed out another limitation in LinkedIn ad attribution (or any channel’s attribution for that matter):
HubSpot doesn’t allow custom weightings or algorithmic models; the options are fixed. Users often find this adequate but not deeply customizable. For instance, you can’t change the U-shaped percentages or include custom “milestone” definitions. Similar dissatisfaction was reported by Devyani, a marketer on LearnG2.com:
Also, HubSpot only tracks certain ad types due to API limitations – e.g., LinkedIn Message Ads and Document Ads are not trackable for contact attribution.
Bottom Line: HubSpot can be your perfect CRM + MAP kit but for laser-focused, impression-based LinkedIn ad attribution, it’s simply not enough.
HubSpot LinkedIn Ads attribution feature is available in only two packages:
CommonRoom is not like traditional ABM tools that focus on ad clicks and site visits – it’s a community intelligence and customer engagement tool.
It specializes in aggregating signals from community forums, social media (including LinkedIn), and product usage to identify and nurture prospects.
No!
CommonRoom helps with LinkedIn ad attribution a bit differently:
CommonRoom, apart from LinkedIn user-generated engagement, also reports on website visitors who join your public community like on Slack.
For instance, you might find an account that never clicked an ad but has 5 members active in your community; CommonRoom flags that as a hot account to Sales.
Also, RoomieAI, CommonRoom’s community AI bot can answer questions about your community data. For example, you could ask if a certain LinkedIn post correlated with signups that week, which is a form of ad impact analysis.
CommonRoom helps you collect more firmographic data by enriching signup info and providing details on who is signing up, turning just an email into a full profile with the company and role.
This enrichment can connect an anonymous LinkedIn ad click (if it leads to a signup with just an email) to a known company, aiding attribution.
With CommonRoom’s Chrome extension, you can add and enrich contacts in your lists in CommonRoom in one click while casually surfing on LinkedIn.
Apart from the lack of LinkedIn ads, company-level impression tracking and traditional ABM functionalities, users have reported these issues:
Bottom Line: CommonRoom is great at integration g with your CRM to give you contact and company-level engagement details from your LinkedIn ads and community forums. But impressions – the very basis of ABM – are not accounted for by CommonRoom.
Common Room’s pricing starts at $999/month (billed annually) for the Starter plan, which includes up to 35,000 contacts, 2 user seats, select integrations, and unlimited workflows, segments, and alerts—plus a 14-day free trial.
The Team plan ($1,999/month), helps scale to 100,000 contacts and 3 seats, with similar features and trial access.
For larger organizations, the Enterprise plan offers custom pricing, includes 200,000+ contacts, up to 10 seats, full integration access, unlimited everything, and dedicated support.
All tiers are designed for signal-rich, GTM-focused teams, but keep in mind—they’re billed annually, so this isn’t for casual experimentation.
Windsor.ai is a broad marketing attribution platform that can include LinkedIn Ads as one of 300+ data sources (CRM, ad platforms, social media, MAPs, etc.). It is basically a hub where you can connect all your CRMs, ad platforms and data providers to centralise your data for better visualisation and analysis.
No!
Windsor.ai is not a perfect LinkedIn ads attribution tool if you really want to know exactly which ad contributed what to your pipeline and revenue. You can not run ABM on LinkedIn with Windsor.ai.
Instead, it offers broad attribution features (300+ sources) that make it suitable for businesses that want to answer, “Leave exact accounts or ABM, I just want to know if LinkedIn ads have made a difference.”
Users praise Windsor.ai for:
Bottom Line: Windsor.ai is more of a data-analysis solution and not a convenient, plug-and-play LinkedIn ad attribution tool.
Windsor. ai pricing starts with a Free tier (1 user, 1 data source, 30-day history), ideal for basic testing.
The Basic plan ($19/month) upgrades to 3 sources and 75 accounts. The popular Standard ($99/month) and Plus ($249/month) plans increase sources and accounts and offer hourly data refreshes.
The Professional plan ($499/month) includes extensive sources (14) and 500 accounts.
Finally, the Enterprise plan provides fully customizable features, extensive sources (up to 300), and premium support meant for large businesses.
Tools like Demandbase, HockeyStack, Terminus and Factors.ai are great if you have a huge budget, time to wrap your head around so many features and the actual need for those many features.
LeadsRX does not pull the company-level impression data from LinkedIn’s API and uses its pixel (dependent on cookies).
HubSpot Attribution also doesn’t pull company-level impression data. It can only attribute for clicks.
6Sense is focused on website visits and clicks. Its integration with LinkedIn is for campaign audience management and not about pulling impression data.
CommonRoom and Windsor.ai are pretty different here. The former pulls only engagements (likes, comments and reactions) from LinkedIn’s API, and the latter is more of a data-analysis solution and not a convenient, plug-and-play LinkedIn ad attribution tool.
So, if there’s a tool that cuts it within budget (starts at $59), it’s ZenABM. It tracks impressions, matches them to CRM deals, auto-syncs with HubSpot, and shows you what campaign influenced what deal, even when nobody clicked.
Book your ZenABM demo now and finally attribute the ROI to each ad, in the fairest way possible.
