Attributing results like revenue, ROI, etc., to your LinkedIn ads is so not going to work in Excel.
You must add a dedicated tool to your inventory.
So, here’s a list of the 10 best LinkedIn ad attribution tools with a laser focus on features that matter for our specific use case here.
Read on to choose your fit!
| Tool | Company-Level Impression Tracking | Two-Way CRM Integration | First-Party LinkedIn API Data | Pricing | Summary |
|---|---|---|---|---|---|
| ZenABM | ✅ | ✅ (bi-directional, native) | ✅ (via LinkedIn API) | $59–$119/mo | Purpose-built for LinkedIn ABM, native HubSpot sync, deal mapping, and low cost. |
| Factors.ai | ✅ | ❌ (pulls only, no native push) | ✅ (via LinkedIn API) | $399–Custom | Great at impression capping, audience control, and LinkedIn AdPilot, but no native CRM push. |
| Demandbase | ✅ | ✅ (multi-CRM, bi-directional) | ✅ (via LinkedIn API) | Custom | End-to-end ABM solution with intent bidding and frequency capping, but pricey and complex. |
| Terminus | ⚠️ (Matched Audience only) | ✅(bi-directional) | ✅ (limited to matched audiences) | Custom | Great for LinkedIn campaign management & Salesforce sync, but tracking is audience-restricted. |
| HockeyStack | ✅ | ❌ (no native push, only pull but a workflow can be built natively) | ✅ (via LinkedIn API) | Custom | Multi-touchpoint, visual-heavy analytics, person-level tracking, but buggy UI and complex setup. |
| LeadsRx | ❌ (cookie-based) | ❌(has to be built, not ready-made) | ❌ | Custom | Tracks offline + online campaigns, but no LinkedIn API support or native company tracking. |
| 6Sense | ❌ | ✅ | ❌ | Custom | Great for audience segmentation and targeting; lacks view-through attribution via impressions. |
| HubSpot Attribution | ❌ | ✅ (internal) | ❌ | $800–$3600/mo | Easy if you’re in HubSpot already, but contact-level only—no impression tracking or ABM focus. |
| CommonRoom | ❌ (only engagement) | ✅ | ❌ (A different LinkedIn API that pulls engaging contacts, not impressions) | $999–Custom | Excellent for community-based signals, but doesn’t support full LinkedIn ad attribution. |
| Windsor.ai | ❌ | ❌ (manual grouping) | ❌ | $19–$499+ | Great for data centralisation, custom models, and visual reports—not built for ABM attribution. |
A tool can have the fanciest dashboard and a plethora of integrations, but these three things actually matter:
“No click world” might be a new buzzword in SEO, but LinkedIn ads and ABM experts have always known this – 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 drive back home and later search for you *organically* on Google but that’s not *truly organic*. B2B buyer journeys are often this crooked.
So if you are running an ABM campaign using LinkedIn ads, you must track company-level impressions to see all ads that have contributed to the deal closure.
Why not contact-level impression tracking?
That’s not provided by LinkedIn’s official API, and reverse IP-based matching third-party tools are just too unreliable.
Your ad attribution tool needs 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 at $59/month (billed annually) is perfect for early-stage teams, offering LinkedIn company insights, default account scoring based on ad and CRM data, campaign-level intent, one ABM campaign, and native HubSpot bi-directional sync.
The Growth plan, at $75/month, adds customizable scoring, separate dashboards for up to 3 campaigns, and upcoming features like BDR assignment, Slack alerts, and weekly email reports.
For enterprise teams and agencies, the Pro plan at $119/month unlocks unlimited campaigns, client-specific dashboards, and upcoming AI-powered workflows like smart impression capping and campaign automation.
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:
Creates precise target audiences by integrating data from various sources. You don’t have to import the audience list manually into LinkedIn Campaign Manager now and can manipulate the audience list automatically from Factors.ai. Also, its Integration with LinkedIn Ads CAPI helps you refine audience lists based on conversion data from various online and offline channels.
Ensures ads are evenly distributed across your target accounts to avoid overexposure to some and underexposure to others. So, you can ensure that huge companies don’t eat out all your impressions – you can stop showing them ads once an impression/click threshold has been reached.
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 is best for impression capping, audience segmentation, company-level impression tracking, and using LinkedIn CAPI integration for the attribution of offline conversions. One drawback – it cannot push company-level engagement data as company properties into HubSpot. Such a workflow, you’ll have to build on your own if you choose Factors.ai.
Factors.ai pricing ranges from a free plan—ideal for startups exploring basic visitor insights—to premium options. The Free plan identifies 200 companies/month and provides basic visitor analytics.
The Basic ($399/mo) plan offers advanced LinkedIn intent tracking, deeper analytics, and basic CRM integrations, perfect for SMB teams. This is typically enough for you if you are trying to manage ABM campaigns via LinkedIn ads in-house.
The Growth ($999/mo) plan significantly expands capabilities with ABM analytics, LinkedIn and G2 attribution, automated workflows, and extensive integrations, aimed at mid-market teams.
Finally, the Enterprise plan (custom pricing) provides comprehensive, tailored solutions with multi-touch attribution and extensive integrations, suitable for larger enterprises or agencies.
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:
Example: If users in an account/company are searching for “enterprise software solutions,” you can target them with specific use-case-based ads for your product that align with the keyword. This ensures you’re reaching a potential buyer with high intent.
Btw, if you are wondering about the source of intent, Demandbase uses 40,000+ data sources and proprietary technology to track account intent on the web (e.g. if they are searching for a keyword on Google relevant to your business).
Demandbase is an end-to-end tool for ABM and can get expensive for small businesses. It has a lot of features that you might not be able to justify the price for.
Also, the extensive features make the tool hard to set up and navigate.
Bottom Line: Demandbase can be your one-stop solution for ABM if you are using multiple ad channels, have a huge budget, and can dedicate time to train your team to use the tool.
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 is great at integrating with CRMs.
Especially with Salesforce, Terminus’s integration is so strong that your sales peep might never need to log into Terminus.
Your accounts in your CRM will be matched with those viewing your ads. Then you can see ad impressions of those matched accounts and also those accounts will be moved through funnel stages in your CRM based on impression, engagement and click thresholds – essentially bringing your marketing and sales team on the same page:
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 tracks all your ad campaigns on different platforms like LinkedIn and DANs in one dashboard for easy performance comparison and attribution.
Also, you can see marketing performance across various touchpoints like chats, video plays, downloads, form fills, site activity, ad impressions, and accounts with the top overall activity:
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.”
Yes, LeadsRX fulfils the basics but only partially:
For LinkedIn Ads, LeadsRx can attribute conversions even when there are no direct clicks.
BUT!
LeadsRX doesn’t pull this data from LinkedIn’s official API but works on pixels provided by LeadsRX. You can configure a special tracking pixel URL in their LinkedIn ad (as an impression tracker). When the ad is served, the pixel drops a cookie on that viewer’s browser. If that person later comes to the website (via any channel) and converts, LeadsRx matches it back to the earlier LinkedIn impression and assigns credit.
Also, for LinkedIn lead gen forms (which don’t hit your site), LeadsRx would track those only if you set up a webhook (not ready-made).
Yes, regarding CRM integration, LeadRX is great. It can easily be connected with HubSpot, Salesforce Pipedrive, etc., and will import deals from your CRM to tie them to your account-based touchpoints for attribution. Again, this ain’t plug-and-play. LeadsRx’s UI doesn’t inherently present “company-level impression” reports – instead, it presents journeys per anonymous user, which you can roll up by account if your CRM or site identifies them.
Conclusively, LeadsRX doesn’t fulfil our prerequisites in the best way. Its impression tracking is not pulled from LinkedIn’s API and depends on cookies. Its company-level identification is not inherent – anonymous users must be identified with companies using data from your CRM and form fills.
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 utilized 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.
