# Madison Logic vs. HockeyStack: Which is Better for ABM? > 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. Author: Emilia Korczynska Published: 2026-01-14 Updated: 2026-01-23 Categories: Tools Source: https://zenabm.com/blog/madison-logic-vs-hockeystack --- ![Madison Logic vs. HockeyStack: Which is Better for ABM? cover, with the ZenABM logo in the top left corner](https://cdn.zenabm.com/media/Madison-Logic-vs.-HockeyStack-Which-is-Better-for-ABM.jpg) 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](/use-cases/abm-campaign-management-performance-tracking) can work as a lean LinkedIn-first alternative or serve as a complementary layer due to its unique features. ## Madison Logic vs. HockeyStack: Quick Summary 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](/abm-campaign-analytics-dashboards) 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 Overview: Key Features, Pricing, and Reviews Madison Logic is an [enterprise ABM](/blog/linkedin-ad-performance-tracking-for-enterprise-sales) 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. ### Key Features of Madison Logic The **Activate** [ABM platform](/blog/best-abm-tools) in Madison Logic combines content syndication, ads and intent data in a single system. #### Multi-Channel Advertising Madison Logic coordinates content syndication, display, [LinkedIn ads](/blog/linkedin-document-ads-guide-with-examples), CTV and digital audio in one platform. You can [reach target accounts](/blog/measure-linkedin-ad-engagement-target-accounts) through whitepapers, webinars, LinkedIn Sponsored Posts and streaming TV or audio placements. #### Intent Data & Account Prioritization ![Madison Logic analytics dashboard showing account engagement and program attribution metrics for ABM](https://cdn.zenabm.com/media/Analytics-and-attribution-in-Madison-Logic.webp) ![Intent data in Madison Logic](https://cdn.zenabm.com/media/Engagement-metrics-in-Madison-Logic-1-e1763039770529.webp) [Madison Logic claims a large B2B intent](/blog/madison-logic-for-abm) 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](/faq/identify-high-intent-accounts-linkedin-ads) so you know who to focus on. #### ABM Content Syndication Madison Logic can syndicate your content through its publisher network to [generate MQLs from target accounts](/blog/abm-vs-traditional-marketing). 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.” ![Redditor says Madison Logic's content syndication isn't worth it.](https://cdn.zenabm.com/media/reddit-madison-logic-content-syndication.png) #### ABM Display & Social Ads Madison Logic runs programmatic display and LinkedIn campaigns [against your account list](/blog/clay-for-target-account-list-building-abm). As a LinkedIn Marketing Partner, it syncs segments into [Campaign Manager and includes LinkedIn](/faq/how-is-zenabm-different-from-linkedin-campaign-manager) as part of multi-channel sequences. The [goal is sustained exposure](/blog/best-abm-tactics) across display, social and other channels. Note: [Display networks](/blog/why-linkedin-first-abm) still struggle with bots and banner blindness. ![Display advertising networks are plagued by malicious bots that mimic human behaviour](https://cdn.zenabm.com/media/Demandbase.png) 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. ![ZenABM company table showing LinkedIn ad impressions, clicks and cost per target account](https://cdn.zenabm.com/media/Company-level-LinkedIn-ad-engagement-data-for-each-campiagn-for-a-selected-time-period-in-ZenABM.png) You get: - account-level LinkedIn ad analytics (to the level of impressions and not just clicks) for each ad creative, - account-scoring, - ABM stage determination, - CRM sync (HubSpot and Salesforce), - AI chatbot, - custom webhooks, - qualitative intent (what specific ad/message intrigued the prospect?), - BDR routing, - and ABM ROI analytics. Best part? All data is pulled straight from LinkedIn’s official Ads API! #### Connected TV & Audio Ads For teams with creative capacity and budget, [Madison Logic](/blog/madison-logic-vs-demandsense) can also activate CTV and digital audio campaigns as part of an ABM mix. #### ABM Analytics and Attribution ![Madison Logic engagement dashboard with account metrics and intent trends for comparing ABM platforms](https://cdn.zenabm.com/media/Engagement-metrics-in-Madison-Logic.webp) ML Measurement and the ML Intent Dashboard connect [engagement to pipeline and revenue](/blog/linkedin-abm-pipeline-reporting-tools). 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. ![Madison Logic performance by stage dashboard with funnel stages, opportunities, deal values and average days](https://cdn.zenabm.com/media/Performance-by-stage-in-Madison-Logic-scaled.png) 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: ![ZenABM campaign analytics showing ABM spend, influenced pipeline and account stages to measure ABM results](https://cdn.zenabm.com/media/ZenABM-Campaign-analytics.png) #### Data Sources and Targeting Capabilities Madison Logic built its [edge on deep intent data](/blog/programmatic-abm-guide). Its data arm later became Bombora, and the platform still blends first-party [engagement with Bombora Company](/faq/see-companies-engaging-with-linkedin-ads) 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. ![Users on G2 report that Madison Logic's account list based on intent surges can sometimes bring in very top-of-the-funnel leads who aren't ready to buy.](https://cdn.zenabm.com/media/madison-logic-platform-g2-review.png) ### Madison Logic’s Integrations: Fitting into the Martech Stack 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](/blog/linkedin-ad-engagement-account-level) 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](/blog/linkedin-ad-crm-integration-why-and-how-to-build-it) into nurture flows that sync with CRM. | Some users mention early setup friction and occasional manual CSV fallback. | | [LinkedIn Marketing Solutions](/blog/how-to-sync-linkedin-ad-data-with-a-crm-a-better-alternative-to-native-integration) | Exports [account segments into Campaign Manager](/use-cases/linkedin-campaign-management-optimization) 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 Pricing: How Much Does It Cost? Madison Logic does not share list pricing publicly, so most buyers will see custom enterprise quotes. Public benchmarks suggest: - A [HubSpot Marketplace listing](https://ecosystem.hubspot.com/marketplace/apps/madison-logic#:~:text=Madison%20Logic%20Pricing) once quoted a Professional plan at around $3,000 per month plus media, with CPM or CPL-based pricing. - [Salesforce’s AppExchange](https://appexchange.salesforce.com/appxListingDetail?listingId=a0N3A00000F9UPIUA3#:~:text=By%20Madison%20Logic,Madison) references “Starting at $1 USD/company/month,” which scales quickly with larger account lists. - A Forrester Total Economic Impact study sponsored by Madison Logic highlights high ROI and quick payback, though it should be read as vendor-aligned rather than neutral. Well, conclusively, Madison Logic is at least $20k+ per month. [ZenABM](/ai), on the other hand, starts at just $59/month. ### User Impressions and Reviews User feedback reflects strong capabilities along with predictable tradeoffs. **Pros**: - [**Broad multi-channel ABM**](/blog/best-sales-outreach-agencies): reviewers say Madison Logic helps “hit target accounts everywhere they are,” from syndication to display to CTV, and like having intent, ABM insights and analytics together. - **Lead volume and alignment**: syndication is credited with meaningful lead volumes that mostly match filters, with some praise for strict criteria and swapping stale contacts. - **Support and insight**: Madison Logic gets positive notes for responsive support and an overall G2 rating of around 4.3 across 200-plus reviews. **Cons**: - **Learning curve and UI**: the platform is seen as powerful but complex, with a steep learning curve for ABM newcomers and interfaces that can feel clunky, often needing structured training. - **Integration and ops friction**: some teams report sync issues that forced manual CSV exports and extra work for multi-region setups. - **Top of funnel bias and cost**: reviewers mention that many leads are early-stage and that Madison Logic is better suited to large enterprises. In [one Reddit thread](https://www.reddit.com/r/LeadGeneration/comments/14hub25/what_are_your_recommended_content_syndication/#:~:text=%E2%80%A2%20%202y%20ago) it is described as useful by some and “a terrible suggestion” by others for modern agile teams. ## HockeyStack Overview: Key Features, Pricing, and Reviews 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. ### Key Features of HockeyStack HockeyStack offers a broad set of features across attribution, analytics, and account intelligence. Here are some of its core [features and capabilities that ABM](/blog/recotap-for-abm) practitioners should know about: #### Full-Funnel Attribution & Analytics 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. ![People-level tracking in HockeyStack](https://cdn.zenabm.com/media/hockeystack-people-company-level-tracking.png) 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. ![Analytics (CMO overview) in HockeyStack](https://cdn.zenabm.com/media/hockeystack-cmo-overview-dashboard.png) ![Different reporting and dashboard templates available in HockeyStack](https://cdn.zenabm.com/media/hockeystack-analytics-dashboards.png) Performance can be analyzed by channel, campaign, content, or account segment. #### LinkedIn Ads Integration & ABM Advertising Insights ![LinkedIn ad analytics in HockeyStack](https://cdn.zenabm.com/assets/chrome-capture-2026-1-20-e1768854582535.gif) ![LinkedIn ad campaign analytics and influenced pipeline in HockeyStack](https://cdn.zenabm.com/media/hockeystack-linkedin-campaign-analytics-dashboard.png) HockeyStack captures all LinkedIn ad interactions, including impression-level data. You can track whether an [account that saw your LinkedIn ad](/blog/how-do-linkedin-ads-work) later converted via another channel and attribute that conversion back to the [ad impression](/blog/push-linkedin-ad-impressions-to-crm). 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](/use-cases/linkedin-campaign-management-optimization), sending CRM events like opportunity creation or deal-won back to LinkedIn. This allows [LinkedIn’s algorithm to optimize campaigns](/blog/9-best-linkedin-ad-attribution-tools) for pipeline and revenue outcomes instead of clicks. #### Account Insights, Scoring & Intent Data HockeyStack includes several account intelligence capabilities: - It can identify anonymous website visitors and match them to companies using IP-to-company resolution and data partners. Organic acquisition analytics include website traffic, content performance tracing, etc. in HockeyStack This approach has accuracy limitations. Studies like the one from [Syft](https://blog.syftdata.com/p/how-accurate-are-site) show identification accuracy peaking around 42 percent. - HockeyStack lets you build ABM audiences using intent signals, combining on-site engagement with third-party sources like G2 or Bombora. - The platform includes AI-driven account scoring that highlights accounts likely to be in-market, using a mix of intent keywords, content engagement, ad interactions, and CRM data. Account scoring in HockeyStack **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](/blog/track-companies-engaging-with-linkedin-ads). Campaigns can be tagged by theme, allowing [ZenABM](/company-buyers-intent) to group companies by what messaging they respond to. This reveals not just who is engaging, but why. ![ZenABM revenue metrics dashboard showing LinkedIn-influenced pipeline by month and ABM campaign effectiveness](https://cdn.zenabm.com/assets/company-buyers-intent-in-ZenABM.gif) ![ZenABM intent signals table ranking target accounts by buying intent for signal-based outbound](https://cdn.zenabm.com/media/ZenABM-intents-demo-scaled.png) #### AI Assistants & Automation ![Odin AI by HockeyStack for ABM](https://cdn.zenabm.com/media/hockeystack-odin-ai-assistant-dashboard.png) HockeyStack positions itself as an AI-first revenue analytics platform with two assistants: - **Odin** acts as an AI marketing analyst, answering questions and generating reports with charts. - **Nova** focuses on sales execution, flagging priority accounts and suggested next steps. - ZenABM also offers its AI assistant, Zena, which answers natural-language questions across LinkedIn engagement, account movement, job title activity, and wasted spend. [YouTube video player](https://www.youtube.com/embed/_XTdy7dv03o?si=83FKKtvkXsm6ZKEr) 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](/faq/identify-high-intent-accounts-linkedin-ads), and trigger workflows via webhooks. ZenABM [integrates bidirectionally with CRMs](/blog/linkedin-ads-hubspot-integration-steps) and [pushes LinkedIn engagement](/faq/push-linkedin-ad-engagement-to-crm) directly into company records. ![LinkedIn ad data pushed to company lists in the HubSpot CRM using ZenABM](https://cdn.zenabm.com/media/ZenABM-metrics-visible-as-company-properties-in-HubSpot-CRM-using-ZenABMs-sync-1.png) ### HockeyStack Pricing 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: - **Base Platform Fee**: The starting price for HockeyStack’s core platform is about $2,200 per month (roughly $26,400 per year) for the standard offering as per. - **Add-On Modules**: Certain advanced features might come as add-ons at extra cost. For example, the Account Intelligence (AI-driven recommendations) and possibly additional data integrations or API access are add-ons. - **No Public Tier for SMB**: Unlike many SaaS products, HockeyStack doesn’t offer a low-cost self-service tier for small companies. - **Total Cost of Ownership**: Real-world contracts seem to cluster in the mid five-figures annually. A median figure cited by [Vendr](https://www.vendr.com/marketplace/hockeystack) is around $28,000 per year for HockeyStack. Depending on the size of your marketing budget, this could be a significant line item. HockeyStack’s median annual pricing as per Vendr 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](/blog/rollworks-vs-zenabm) 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). ### User Impressions and Reviews 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. ![Rating and reviews of HockeyStack on G2](https://cdn.zenabm.com/media/hockeystack-g2-reviews-rating.png) But digging into the reviews reveals a mix of glowing praise and constructive criticism. Here’s a summary of user impressions: #### Positive Feedback (Pros) Hockeystack’s pros: - Comprehensive insights and single source of truth - Attribution and analytics power - LinkedIn and ad tracking - Great support and responsive team - Odin AI Analyst: A number of users have a “wow” reaction to the Odin AI feature. Having an AI that can answer ad-hoc questions or find insights automatically is highlighted as very helpful, especially for smaller teams. One person noted that Odin acted like an extra team member, answering questions and surfacing recommendations that freed up their time. #### Negative Feedback (Cons) HockeyStack’s limitations: - Learning curve & complexity - UI / UX Issues. A few users call out that the user interface could be more polished or that navigation isn’t always straightforward. - Data overload. - Some smaller business users (or just cost-conscious ones) mention the high price as a drawback. ## Madison Logic vs. HockeyStack: Key Differences 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 | ## ZenABM as a LinkedIn-First, First-Party Lean Alternative to HockeyStack and Madison Logic for ABM After we have discussed Madison Logic vs. HockeyStack for ABM, let’s visit the third option: ZenABM. [**ZenABM**](/abm-campaign-analytics-dashboards) is built for teams that rely on [LinkedIn as the primary ABM channel](/blog/crm-integrations-linkedin-ad-tracking) 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: ### Account-Level LinkedIn Ad Engagement Tracking ![ZenABM dashboard showing company-level ads engagement data per campaign by pulling first party intent signals from LinkedIn API](https://cdn.zenabm.com/media/image.png) ![ZenABM company table showing LinkedIn ad impressions, clicks and cost per target account](https://cdn.zenabm.com/media/Company-level-LinkedIn-ad-engagement-data-for-each-campiagn-for-a-selected-time-period-in-ZenABM.png) ZenABM connects to the official [LinkedIn Ads](/blog/linkedin-ad-data-enrichment-in-crm) 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](https://blog.syftdata.com/p/how-accurate-are-site) study puts IP-based identification at around 42 percent accuracy. ![Syft benchmark of visitor ID accuracy: Clearbit and Leadfeeder top at 42%, People Data Labs lowest at 14%](https://cdn.zenabm.com/media/Accuracy-of-identified-visitors.png) ZenABM treats [LinkedIn ad engagement](/faq/push-linkedin-ad-engagement-to-crm) itself as first-party intent. When several people in one [company keep engaging](/faq/see-companies-engaging-with-linkedin-ads) with your ads, that is a strong buying signal without rented intent feeds. ### Real-Time Engagement Scoring + Full Touchpoint Timeline ![ZenABM does lead scoring based on both current and all-time engagement levels](https://cdn.zenabm.com/media/zenabm-account-engagement-scoring.png) [ZenABM updates engagement scores](/blog/linkedin-ads-crm-automation) 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](/blog/account-based-marketing-abm-strategy) that show real intent. ZenABM also shows the full touchpoint timeline for each company: ![ZenABM company-level engagement overview for Vodafone showing impressions, clicks and engagement metrics](https://cdn.zenabm.com/media/Company-level-engagement-overview-ZenABM--scaled.png) ![ZenABM company-level engagement view for Vodafone, listing campaign impressions, clicks and engagement rates](https://cdn.zenabm.com/media/Company-level-engagement-overview-scaled.png) ### ABM Stage Tracking ![ZenABM dashboard showing company-level ads engagement data per campaign by pulling first party intent signals from LinkedIn API](https://cdn.zenabm.com/media/image.png) ZenABM lets you define stages such as Identified, Aware, Engaged, Interested, and Opportunity and automatically places [accounts in the right stage using scores](/blog/abm-engagement-penetration-strategy) and CRM data. You control thresholds, and ZenABM tracks movement over time. ![ABM stage tracking in ZenABM](https://cdn.zenabm.com/media/zenabm-abm-stages-management.png) ![ABM campaign effectiveness and number of companies in each stage in a given time period being shown in ZenABM](https://cdn.zenabm.com/media/abm-campaign-effectivness-and-number-of-compnaies-in-each-stage-in-a-given-time-period-being-shown-in-ZenABM-1.png) This gives you funnel visibility similar to larger suites, but powered by LinkedIn data. ### CRM Integration and Workflows [ZenABM integrates bi-directionally with CRMs like HubSpot](/blog/push-linkedin-ad-impressions-to-crm) and adds Salesforce sync on higher tiers. [LinkedIn engagement data flows](/blog/push-linkedin-ad-engagements-into-hubspot) into the CRM as company-level properties: ![LinkedIn ad data pushed to company lists in the HubSpot CRM using ZenABM](https://cdn.zenabm.com/media/ZenABM-metrics-visible-as-company-properties-in-HubSpot-CRM-using-ZenABMs-sync.png) Once an [account crosses your score](/blog/linkedin-ad-analytics-for-account-scoring) threshold, ZenABM updates the stage to Interested and automatically assigns a BDR. ![ZenABM assigns accounts in the "interested" stage to BDRs in your CRM](https://cdn.zenabm.com/media/zenabm-hubspot-crm-account-assignment.png) ### Intent Tagging from Ad Engagement ZenABM lets you derive [intent topics from LinkedIn campaigns](/faq/identify-high-intent-accounts-linkedin-ads) by [tagging campaigns](/blog/revenue-attribution-from-linkedin-abm) by feature, use case, or offer. [ZenABM then shows which accounts engage](/use-cases/account-scoring) with which themes. ![ZenABM revenue metrics dashboard showing LinkedIn-influenced pipeline by month and ABM campaign effectiveness](https://cdn.zenabm.com/assets/company-buyers-intent-in-ZenABM.gif) This is clean, first-party intent from owned interactions. You can push these topics into your CRM, so [sales and marketing](/blog/factors-ai-vs-terminus) can tailor outreach to what each company has actually explored. ![Pushing intent as property in ZenABM](https://cdn.zenabm.com/media/Intent-propety-.png) ### Built-in Dashboards and ABM Analytics ZenABM ships with dashboards that connect [LinkedIn ads to account](/blog/account-scoring-from-linkedin-ad-data) engagement, stage movement, and revenue. - You can monitor performance from high-level ABM campaigns down to LinkedIn campaign groups and individual ads: - Because ZenABM stores deal value and [ad spend per company](/faq/see-companies-clicked-on-linkedin-ads) and per campaign, it can calculate ROAS, pipeline per dollar, and other revenue metrics and show pipeline contribution. ### Job-Title Analytics ZenABM shows which job titles engage with your creatives and gives dwell time and [video funnel](/blog/linkedin-ad-funnel-attribution) analytics. ![ZenABM job title analytics: campaign groups for Growth Specialist with impressions, clicks and CTR](https://cdn.zenabm.com/media/Job-title-analytics-in-ZenABM-e1763015217744.jpeg) ### AI Chatbot to Analyze Your LinkedIn and ABM Data [YouTube video player](https://www.youtube.com/embed/_XTdy7dv03o?si=83FKKtvkXsm6ZKEr) [ZenABM provides](/blog/6sense-vs-zenabm) 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: - who is seeing and clicking your ads, - how [campaigns and ABM](/blog/what-is-zenabm) initiatives are performing, - how accounts are moving through stages, - which job titles are engaging, - and where the budget is being wasted. Under the hood, Zena combines OpenAI with a library of carefully designed prompts and endpoints to join [ad engagement](/blog/linkedin-ad-engagement-analytics-zenabm), 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. ### Custom Webhooks ![ZenABM's webhook configuration](https://cdn.zenabm.com/media/zenabm-webhook-configuration-form.png) ZenABM’s custom webhooks let you push events into your stack, for example, Slack alerts, enrichment flows, or other ops [automations](/faq/linkedin-ad-clicks-into-crm-for-abm). ### ABM Campaign Objects for True Multi-Campaign Attribution ![ZenABM ABM Campaigns table listing campaign names, statuses and spend for tracking account-based marketing](https://cdn.zenabm.com/media/list-of-ABM-campaigns-and-other-objects-in-ZenABM.png) Most tools treat each [LinkedIn campaign](/blog/linkedin-ads-benchmarks) separately. ZenABM lets you group several into one ABM campaign object so you can see [performance across regions](/blog/abm-strategy-and-segmentation), personas, or creative clusters. Instead of juggling fragmented [reports in Campaign Manager](/blog/track-companies-engaging-with-linkedin-ads), you see spend, pipeline, account movement, and ROAS for the entire initiative. ### Multi Client Workspace for Agencies 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](/blog/abm-strategy-types), dashboards, and reporting, instead of constantly switching [accounts in Campaign Manager](/use-cases/linkedin-campaign-management-optimization). ## [ZenABM Pricing](/pricing) ![ZenABM pricing](https://cdn.zenabm.com/media/Zena-AI-ZenABM-AI-chatbot-pricing-.png) [ZenABM pricing](/pricing) details: - Plans start at $59 per month for Starter, $159 for Growth, $399 for Pro (with AI), and $479 for Agency. - Even the agency plan stays under $6,000 per year. - All tiers include core [LinkedIn ABM](/blog/linkedin-ad-impact-in-abm) features. Higher tiers mostly increase limits and add Salesforce sync. - Plans are available monthly or annually, and every plan includes a 37-day free [trial](/blog/demandbase-vs-factors-ai). ## Madison Logic vs. HockeyStack or ZenABM: Which Tool is Best for Your ABM Strategy? 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: - Company level LinkedIn ad engagement instead of anonymous reach metrics - First party intent based on real buyer interactions - Engagement scoring and ABM stage movement powered by LinkedIn data - Deal matched revenue attribution without expanding enterprise contracts - CRM native workflows including automated BDR assignment - AI driven analysis with Zena for fast executive ready insights [Try ZenABM now for free](https://app.zenabm.com/signup?_gl=1*40jpw0*_gcl_au*MTk1MzAwMDY3LjE3NjA4MjMwMjE.) or [book a demo to know more!](/book-a-demo) ## Images - https://cdn.zenabm.com/media/madison-logic-abm-platform-review.png - https://cdn.zenabm.com/media/demandscience-madison-logic-user-testimonials.png - https://cdn.zenabm.com/media/madison-logic-platform-reviews-rating.png - https://cdn.zenabm.com/media/hockeystack-organic-acquisition-dashboard.png - https://cdn.zenabm.com/media/account-scoring-deal-pipeline-dashboard.png - https://cdn.zenabm.com/media/hockeystack-pricing-median-annual-cost.png - https://cdn.zenabm.com/media/zenabm-abm-campaign-performance-metrics.png - https://cdn.zenabm.com/media/linkedin-campaign-performance-metrics.png - https://cdn.zenabm.com/media/zenabm-abm-analytics-dashboard.png