In this guide, I have compared Madison Logic vs. HockeyStack on features, pricing and ABM fit so your marketing and sales teams can quickly see which platform aligns with their ABM motion.
I have also discussed how ZenABM can work as a lean LinkedIn-first alternative or serve as a complementary layer due to its unique features.
In case you want a quick Madison Logic vs. HockeyStack comparison:
| Category | Madison Logic | HockeyStack |
|---|---|---|
| Platform Type | ABM demand generation & intent platform | B2B revenue analytics platform |
| Main Focus | Audience discovery, intent & programmatic reach | Revenue attribution & funnel analytics |
| Primary Strength | Intent signals & demand gen reach | Revenue influence reporting |
| ABM Orientation | Prospect engagement & intent | Account & contact analytics |
| Advertising Execution | Programmatic & social reach | None |
| Intent Signals | Madison Logic proprietary intent | First & third party |
| CRM Integration | Lead & intent sync | Analytics focused sync |
| Pricing Transparency | Low | Low |
| Typical Annual Cost | Mid to high five figures | Mid five figures |
A third option: ZenABM gives account-level LinkedIn ad engagement, pipeline dashboards, account scoring, ABM stages, CRM sync, first-party qualitative intent, automated BDR assignment, custom webhooks, an AI chatbot Zena that gives deep LinkedIn ABM analytics in natural language, and job title analytics starting at $59 per month.
Madison Logic is an enterprise ABM platform that helps you reach named accounts across several paid channels from one place.
Here is a condensed look at what it does, what it costs and how users see it.
The Activate ABM platform in Madison Logic combines content syndication, ads and intent data in a single system.
Madison Logic coordinates content syndication, display, LinkedIn ads, CTV and digital audio in one platform.
You can reach target accounts through whitepapers, webinars, LinkedIn Sponsored Posts and streaming TV or audio placements.
Madison Logic claims a large B2B intent graph built over many years and a broad set of accounts and contacts.
These signals feed ML Insights, which scores and prioritizes in market accounts so you know who to focus on.
Madison Logic can syndicate your content through its publisher network to generate MQLs from target accounts.
Though Madison Logic claims tight filters, some marketers say syndication can be opaque and inconsistent on lead quality.
One Redditor called it “a blind network with no way of filtering out of spec leads.”
Madison Logic runs programmatic display and LinkedIn campaigns against your account list.
As a LinkedIn Marketing Partner, it syncs segments into Campaign Manager and includes LinkedIn as part of multi-channel sequences.
The goal is sustained exposure across display, social and other channels.
Note: Display networks still struggle with bots and banner blindness.
So, I’d say, more reliable platforms like LinkedIn make more sense for account-based advertising.
And this is where ZenABM comes into the picture.
You get:
Best part?
All data is pulled straight from LinkedIn’s official Ads API!
For teams with creative capacity and budget, Madison Logic can also activate CTV and digital audio campaigns as part of an ABM mix.
ML Measurement and the ML Intent Dashboard connect engagement to pipeline and revenue. The Intent Dashboard centralizes intent, engagement and benchmarks, then surfaces hot accounts and recommended next steps, with views for stage movement and cross-channel performance.
Similarly, ZenABM gives deep plug-and-play LinkedIn ABM analytics.
From campaign performance data to revenue metrics, you get it all in a unified analytics dashboard:
Madison Logic built its edge on deep intent data.
Its data arm later became Bombora, and the platform still blends first-party engagement with Bombora Company Surge, plus firmographic and technographic data inside the ML Data Cloud.
Targeting uses firmographics and job attributes, so you can reach the right roles and regions via syndication, display and LinkedIn.
Third-party keyword surge intent can skew toward curiosity rather than purchase intent, and some G2 reviews point out a strong top-of-funnel tilt.
Madison Logic connects to major CRM, MAP and sales tools, which suit complex B2B stacks, although setup and upkeep can require ops effort.
| Platform | Integration Details | User Notes |
|---|---|---|
| Salesforce (CRM) | Embeds account insights and engagement data and connects campaigns to the pipeline. | “The integration with Salesforce is everything when it comes to our reporting.” |
| HubSpot, Marketo, Pardot (MAP) | Pushes leads and engagement data into nurture flows that sync with CRM. | Some users mention early setup friction and occasional manual CSV fallback. |
| LinkedIn Marketing Solutions | Exports account segments into Campaign Manager for activation. | Reported to streamline activation and reduce launch time. |
| Gong | Feeds intent-backed insights into call prep and follow-ups. | Used to personalize conversations with AI-supported cues. |
| Convertr | Enriches leads in real time with intent scores and topics. | Helps route qualified leads faster into the right workflows. |
| Adobe Experience Platform | Feeds intent data into Adobe tools such as Journey Optimizer. | Supports full funnel personalization for enterprise programs. |
Madison Logic does not share list pricing publicly, so most buyers will see custom enterprise quotes.
Public benchmarks suggest:
Well, conclusively, Madison Logic is at least $20k+ per month.
ZenABM, on the other hand, starts at just $59/month.
User feedback reflects strong capabilities along with predictable tradeoffs.
Pros:
Cons:
HockeyStack is essentially an AI-powered B2B revenue analytics platform designed for account-based marketing.
Let’s look at its core features, pricing and reviews.
HockeyStack offers a broad set of features across attribution, analytics, and account intelligence.
Here are some of its core features and capabilities that ABM practitioners should know about:
At its core, HockeyStack provides multi-touch attribution and end-to-end funnel analytics.
It centralizes marketing and sales touchpoints and shows which channels, campaigns, and content influence engagement, pipeline, and revenue.
You can switch between attribution models such as first-touch, last-touch, and weighted multi-touch.
HockeyStack supports both account-level and lead/contact-level attribution in parallel.
The platform visualizes a complete journey from first impression to closed-won, with all touchpoints logged.
Offline marketing and sales activities can also be incorporated.
HockeyStack includes pre-built dashboards such as a “CMO overview” and supports custom reporting.
Performance can be analyzed by channel, campaign, content, or account segment.
HockeyStack captures all LinkedIn ad interactions, including impression-level data.
You can track whether an account that saw your LinkedIn ad later converted via another channel and attribute that conversion back to the ad impression.
This provides a clearer view of LinkedIn ROI beyond clicks.
LinkedIn engagement can also be used as a reporting filter and metric.
HockeyStack supports offline conversion uploads to LinkedIn Campaign Manager, sending CRM events like opportunity creation or deal-won back to LinkedIn.
This allows LinkedIn’s algorithm to optimize campaigns for pipeline and revenue outcomes instead of clicks.
HockeyStack includes several account intelligence capabilities:
This approach has accuracy limitations. Studies like the one from Syft show identification accuracy peaking around 42 percent.
Pro Tip: HockeyStack relies on third-party keyword surge data, which often surfaces early-stage curiosity rather than true buying intent and typically comes at an added cost.
ZenABM takes a different approach by capturing first-party qualitative intent through company-level LinkedIn ad engagement. Campaigns can be tagged by theme, allowing ZenABM to group companies by what messaging they respond to. This reveals not just who is engaging, but why.
HockeyStack positions itself as an AI-first revenue analytics platform with two assistants:
HockeyStack supports automation such as engagement spike alerts, account routing, and Slack or email notifications.
It integrates with CRMs and ad platforms to sync conversions, push high-intent accounts into LinkedIn Ads, and trigger workflows via webhooks.
ZenABM integrates bidirectionally with CRMs and pushes LinkedIn engagement directly into company records.
HockeyStack pricing isn’t available on its site.
All one can make out is that the company gives out custom-quoted packages.
But there are some clues from third-party sources:
The biggest drawback of HockeyStack’s pricing approach is the lack of upfront clarity.
Teams often invest significant time in demos and internal evaluations only to discover the price is out of range, which can be frustrating.
For marketers or RevOps leads making the business case, ensure you factor in not just the software subscription but also the implementation and maintenance effort (which is an indirect “cost” in time/manpower).
HockeyStack’s value can be tremendous if fully utilized, but you’ll want to be confident that the insights gained will materially improve your marketing efficiency or revenue outcomes to justify the spend.
In comparison, newer ABM analytics players (like ZenABM and others) have adopted more transparent and lower pricing models (e.g., ZenABM starts at $59/month).
Overall, HockeyStack enjoys strong ratings.
It’s currently around 4.6 out of 5 stars on G2 based on dozens of reviews indicating that customers are generally very satisfied.
But digging into the reviews reveals a mix of glowing praise and constructive criticism.
Here’s a summary of user impressions:
Hockeystack’s pros:
HockeyStack’s limitations:
Madison Logic vs. HockeyStack differences are summarized here (along with ZenABM for perspective).
| Dimension | Madison Logic | HockeyStack | ZenABM |
|---|---|---|---|
| Product Philosophy | Demand gen & intent first | Revenue analytics first | LinkedIn ABM execution |
| Primary ABM Unit | Accounts & prospects | Accounts & contacts | Companies & buying groups |
| Main Question Answered | Which accounts show intent | Where revenue came from | Which LinkedIn ads create intent |
| Intent Signal Source | Proprietary intent graphs | Web & third party | First party LinkedIn engagement |
| Intent Signal Quality | Broad | Medium | High & contextual |
| Account Scoring | Intent driven scores | AI driven | Rule based transparent |
| ABM Stage Tracking | Optional | Partial | Configurable |
| LinkedIn Ad Visibility | Programmatic view | Impression analytics | Company & campaign group |
| Advertising Channels | Programmatic & social | Analytics only | LinkedIn only |
| Revenue Attribution | Influenced attribution | Multi-touch | Deal matched LinkedIn |
| Sales Activation | Lead & intent alerts | Insights & alerts | Automatic BDR routing |
| CRM Sync Depth | Lead & intent sync | Analytics focused | Operational bi-directional |
| AI Layer | Intent models | Odin & Nova | Natural language analytics |
| Implementation Effort | Medium | Medium | Low |
| Time to Value | Weeks | Weeks | Days |
| Pricing Model | Enterprise contract | Custom contract | Flat SaaS pricing |
| Typical Annual Cost | 50K+ / year | 20K–40K | Under 6K |
| Best Fit | Demand gen & intent teams | Revenue analytics teams | LinkedIn first ABM teams |
After we have discussed Madison Logic vs. HockeyStack for ABM, let’s visit the third option: ZenABM.
ZenABM is built for teams that rely on LinkedIn as the primary ABM channel and want first-party accuracy, automation, and revenue visibility without the price or complexity of multi-channel suites.
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:
Choose Madison Logic if you are focused on large scale demand generation, content syndication, and intent fueled reach across programmatic and social channels. It works best for teams optimizing top and mid funnel volume with enterprise budgets.
Choose HockeyStack if your priority is revenue analytics and attribution, and you want a single system to analyze how multiple channels influenced pipeline and closed deals.
Choose ZenABM if you want LinkedIn first ABM with clear visibility into which companies engaged with which ads and how that engagement turned into pipeline and revenue.
ZenABM fills the gap between Madison Logic and HockeyStack by combining execution level LinkedIn insight with revenue clarity:
