HockeyStack is a B2B revenue analytics and attribution platform that helps go-to-market teams connect marketing and sales activity to pipeline and revenue, including visibility that starts as early as ad impressions.
This article explains all about what is HockeyStack:
It also clarifies when HockeyStack is the right fit for an ABM motion, versus when it is more platform than you need (third-party benchmarks like Vendr estimate a median annual cost around $28k).
Finally, it explains when a more focused, LinkedIn-first option like ZenABM can work as a replacement or a complementary layer, especially for teams that want account-level LinkedIn engagement and activation without a full-suite analytics rollout.
If you want the short version first:
HockeyStack is a revenue analytics platform that unifies marketing and sales activity into reporting, attribution, and buyer journeys, with an emphasis on account-level visibility.
In practical terms, it centralizes go-to-market data (ads, website, CRM, and other systems) and connects that activity to pipeline and revenue so teams can answer questions like:
HockeyStack is also a LinkedIn Marketing Partner, and it highlights LinkedIn Ads as a first-class source. It can pull LinkedIn Ads engagement data (including impressions and engagement) at the account level, then match it with CRM and website activity so influence can be measured beyond clicks.
The intended outcome is straightforward: identify which accounts saw or engaged with your ads, then map that exposure to downstream behavior such as site visits, form fills, opportunity creation, and closed revenue.
Under the hood, HockeyStack typically relies on its website tracking snippet plus integrations to build a unified dataset. The tracking script supports cookieless mode by default, with the option to switch to cookie-based tracking if needed. It then combines what happens on your site with events and attributes pulled from connected systems.
It also pulls data from your marketing automation, CRM, ad platforms, and other tools into one reporting layer, so teams are not forced to reconcile outcomes manually across multiple dashboards.
ZenABM, by the way, covers the same LinkedIn-side measurement layer for teams that want a focused solution:
HockeyStack covers attribution, reporting, account intelligence, and workflow support.
Below are the capabilities that most ABM and demand gen teams evaluate first:
HockeyStack supports funnel reporting and attribution across marketing and sales touchpoints.
It brings activity from multiple systems into a single reporting layer so teams can analyze which channels, campaigns, and assets are associated with engagement, pipeline, and closed revenue.
It supports different attribution approaches (including single-touch and multi-touch models), and it can report at both the account level and the person (lead or contact) level.
The reporting view typically presents a timeline, showing touchpoints from the earliest interactions through closed-won, with marketing activity and sales touches logged in sequence.
HockeyStack also supports bringing offline activity into analysis, which matters for teams that rely on events, outbound, or non-digital touches.
For reporting, it provides pre-built dashboards (including executive templates like a “CMO overview”) and supports custom reporting for teams that want their own breakdowns.
Marketers can slice reporting by channel, campaign, content, account segment, and other dimensions, depending on connected data.
HockeyStack’s LinkedIn integration is designed to measure influence beyond clicks.
It can track account-level ad impressions and engagement, then connect that exposure to later actions such as direct traffic, branded search, and site conversions. This allows conversions to be analyzed as influenced by impressions, not only by last-click activity.
It also allows impressions and engagement to be used as reporting filters and segmentation criteria.
A related workflow feature is conversion syncing back to LinkedIn. HockeyStack can send conversion events (for example, opportunity stages and closed revenue outcomes) back into LinkedIn Campaign Manager so LinkedIn optimization can focus on downstream business outcomes rather than only clicks and form fills.
Because HockeyStack is often used in account-based motions, it includes account intelligence capabilities such as:
But this is honestly something I don’t endorse because IP-matching tools’ accuracy peaks at a mere 42 percent as per studies like the one from Syft. 
Pro Tip: HockeyStack provides third-party keyword surge data to surface top-of-funnel leads/accounts that might be curious but aren’t truly ready to buy. This type of intent data usually costs extra and, being third-party, lacks context and precision. ZenABM takes a smarter route. It captures first-party qualitative intent by tracking how specific companies engage with your LinkedIn ads down to each ad creative. You can tag campaigns by theme (e.g. Feature A vs. Feature B), and ZenABM will group companies showing interest in each message. That means you’ll know not just who is engaging, but what they’re interested in, so your sales and follow-ups are hyper-relevant from the start.
HockeyStack positions AI agents as a primary interface for analysis and actioning insights, with two named assistants: Odin and Nova.
Beyond AI assistants, HockeyStack supports automation such as alerts when accounts spike in engagement, routing and assignment workflows, and notifications through channels like Slack or email.
Integrations with CRMs and ad platforms can support workflows like syncing conversion events, pushing segments for activation, and triggering custom workflows via webhooks so insights are acted on rather than sitting in dashboards.
ZenABM, too, integrates bidirectionally with CRMs such as HubSpot (Salesforce available on higher plans).
ZenABM pushes LinkedIn engagement data directly into your CRM as company properties, keeping sales teams informed:
ZenABM can also auto-update account stages to “Interested” when engagement passes a set threshold and assign accounts to specific BDRs for follow-up.
HockeyStack does not publish a simple tier-by-tier pricing table on its main site pages, and most buyers should expect a custom quote.
That said, there are a few consistent public signals:
The operational reality is that pricing is only one part of the investment.
Teams should account for implementation effort, data QA, and ongoing reporting ownership. Those time costs can be meaningful if the platform is not clearly adopted and maintained.
HockeyStack can deliver significant value when it becomes the reporting system of record, but the ROI case usually depends on whether the team will use it to materially improve marketing efficiency or revenue decisions.
In comparison, newer ABM analytics players (like ZenABM and others) often provide more transparent and lower entry pricing (for example, ZenABM starts at $59/month).
HockeyStack is generally reviewed positively across common software review sites, with strong ratings and recurring themes around attribution clarity and reporting consolidation.
It is currently listed around 4.6 out of 5 stars on G2, based on dozens of verified reviews.
Reviews typically include both strong praise and practical caveats.
Here is a condensed summary of the patterns:
Hockeystack’s pros:
HockeyStack’s limitations:
HockeyStack is primarily built for B2B teams that need revenue visibility across multiple touchpoints and channels, and have the internal capacity to operationalize an analytics platform.
Mid-market and enterprise companies, especially tech and SaaS teams with longer, multi-stakeholder sales cycles, tend to see the strongest fit.
If you have a dedicated demand gen function and RevOps ownership for attribution and pipeline reporting, HockeyStack is aligned to that setup.
On the other end of the spectrum, HockeyStack can be a mismatch for early-stage startups or smaller businesses with modest ACVs, minimal channel complexity, or limited bandwidth for implementation and ongoing reporting stewardship.
In those scenarios, a more focused approach, including LinkedIn-first measurement and activation (for example, ZenABM), is often a cleaner fit.
ZenABM is built for teams that run ABM primarily on LinkedIn and want first-party account engagement, CRM activation, and pipeline visibility without a full multi-channel analytics suite.
Let’s look at its core features:
ZenABM connects to the official LinkedIn Ads API and captures account-level data for all campaigns so you can see which companies see, click, and engage with your ads.
Because this is first-party data from LinkedIn’s environment, it is more reliable than IP or cookie-based visitor ID.
A Syft study puts IP-based identification at around 42 percent accuracy.
ZenABM treats LinkedIn ad engagement itself as first-party intent. When several people in one company keep engaging with your ads, that is a strong buying signal without rented intent feeds.
ZenABM updates engagement scores as accounts interact with your ads across campaigns, so you can see who is heating up over short or long windows and let marketing and sales prioritize accounts that show real intent.
ZenABM also shows the full touchpoint timeline for each company:
ZenABM lets you define stages such as Identified, Aware, Engaged, Interested, and Opportunity and automatically places accounts in the right stage using scores and CRM data.
You control thresholds, and ZenABM tracks movement over time.
This gives you funnel visibility similar to larger suites, but powered by LinkedIn data.
ZenABM integrates bi-directionally with CRMs like HubSpot and adds Salesforce sync on higher tiers.
LinkedIn engagement data flows into the CRM as company-level properties:
Once an account crosses your score threshold, ZenABM updates the stage to Interested and automatically assigns a BDR.
ZenABM lets you derive intent topics from LinkedIn campaigns by tagging campaigns by feature, use case, or offer.
ZenABM then shows which accounts engage with which themes.
This is clean, first-party intent from owned interactions.
You can push these topics into your CRM, so sales and marketing can tailor outreach to what each company has actually explored.
ZenABM ships with dashboards that connect LinkedIn ads to account engagement, stage movement, and revenue.
ZenABM shows which job titles engage with your creatives and gives dwell time and video funnel analytics.
ZenABM provides its AI chatbot called Zena that basically answers all you want from ZenABM in natural language.
You can ask Zena open-ended questions like you would a smart analyst and get company-level answers about:
Under the hood, Zena combines OpenAI with a library of carefully designed prompts and endpoints to join ad engagement, spend and CRM deals so it can explain which campaigns drove pipeline, which accounts turned into opportunities, which formats perform best and which companies are high intent but untouched by sales.
Instead of exporting spreadsheets and stitching pivot tables, you get plain language insights, ready to drop into strategy reviews, weekly sales standups or executive updates.
ZenABM’s custom webhooks let you push events into your stack, for example, Slack alerts, enrichment flows, or other ops automations.
Most tools treat each LinkedIn campaign separately. ZenABM lets you group several into one ABM campaign object so you can see performance across regions, personas, or creative clusters.
Instead of juggling fragmented reports in Campaign Manager, you see spend, pipeline, account movement, and ROAS for the entire initiative.
For agencies, ZenABM offers a multi-client workspace.
You can manage multiple ad accounts and clients in one environment, each with its own ABM strategy, dashboards, and reporting, instead of constantly switching accounts in Campaign Manager.
ZenABM pricing details:
HockeyStack is typically a fit when the GTM motion is multi-channel, reporting-heavy, and run with RevOps discipline, and the team has the budget and ownership to implement and maintain a revenue analytics platform.
If the goal is to unify touchpoints across ads, website, CRM, and offline activity into a single reporting and attribution layer, HockeyStack is designed for that depth.
That same depth comes with trade-offs: higher cost, longer time to value, and ongoing operational effort to keep the system clean and adopted.
If the ABM engine is primarily LinkedIn, and the practical requirement is:
ZenABM focuses on turning LinkedIn engagement into actionable account intelligence.
It captures first-party ad engagement directly from LinkedIn, converts it into intent, scores and stages accounts, syncs everything to your CRM, and shows pipeline impact out of the box, starting at $59 per month.
