Replace N.Rich, Terminus, and RollWorks with Abmatic AI in 2026

Account-based advertising without account deanonymization and web personalization is expensive ad spend pointed at accounts you cannot identify when they arrive. N.Rich, Terminus, and RollWorks each run ads. None of them tell you who showed up, personalize the page that person lands on, or trigger autonomous follow-through when the signal fires. Abmatic AI covers all three advertising layers plus the 12+ capabilities the stack leaves empty - starting at $36,000 per year.

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Disclosure: This post is published by Abmatic AI. Claims about N.Rich, Terminus, and RollWorks are based on publicly available documentation, G2 reviews, Gartner Peer Insights, and analyst pricing estimates. TCO figures are illustrative ranges drawn from public sources and are not guarantees of actual vendor pricing.

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The ABM Advertising Problem: Signal Without Identity

The account-based advertising category was built on a straightforward premise: serve display, LinkedIn Ads, and retargeting campaigns against a named account list, and the right people at those accounts will notice, engage, and eventually raise their hand. For several years, that premise justified assembling a stack of specialized advertising tools - one for programmatic display, one for LinkedIn Ads execution, one for high-intent account targeting in specific geographies.

The problem is structural, not executional. Advertising platforms generate impressions, clicks, and engagement scores. They do not tell you which individual at a target account clicked through. They do not personalize the website that person lands on after clicking. They do not fire an Agentic Workflow when the engagement threshold is crossed. They do not trigger Agentic Outbound to the identified contact. They do not book the meeting. They serve the ad and hand the rest of the process back to a human - who has to extract the data from a dashboard, load it into a separate tool, and manually decide what to do next.

N.Rich, Terminus, and RollWorks are all excellent at the advertising layer. That is also exactly where their scope ends.

Abmatic AI is built differently. The advertising layer - LinkedIn Ads, Meta Ads, Google DSP, and retargeting - operates from the same identity graph that powers contact-level deanonymization, web personalization, Agentic Workflows, Agentic Outbound, and Agentic Chat. The signal and the action live in the same platform. No export cycles. No manual handoffs. No fifth tool required to close the loop from impression to booked meeting.

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N.Rich: Strong European ABM Advertising, Narrow Scope

N.Rich built its reputation in the EMEA B2B market. The platform runs account-based programmatic display advertising and LinkedIn Ads with high-intent targeting, using keyword-level intent data to identify accounts actively researching relevant topics and serving them targeted display creative. For European enterprise B2B teams that need account-based advertising with genuine EMEA coverage - including regional DSP relationships and GDPR-compliant data processing - N.Rich is a credible specialist.

The platform's core value is intent-matched programmatic display at the account level. N.Rich brings in third-party intent signals, matches them against target account lists, and serves display and LinkedIn Ads to accounts showing high research activity. The intent targeting is more sophisticated than basic account list retargeting, and the European coverage is genuinely differentiated from US-centric platforms.

Where N.Rich Stops

N.Rich is an advertising platform. It does not deanonymize visitors to your website - it cannot tell you whether the VP of Procurement at a target account who was served three display ads last week also visited your pricing page yesterday. It does not personalize your website. It does not run outbound sequences. It does not produce account lists or contact lists from your own CRM data. It has no Agentic layer - no Agentic Workflows, no Agentic Outbound, no Agentic Chat. There is no AI SDR capability and no meeting routing.

Critically, N.Rich requires you to bring your own intent data infrastructure and your own CRM to identify which accounts to target. The platform does not generate first-party intent from your website or unify it with third-party signals into a single intent layer. You need separate tools for that - and then you need to feed the results back into N.Rich manually.

For teams outside EMEA or teams that need more than programmatic display and LinkedIn Ads, N.Rich is narrow by design. Pricing typically runs $24,000 to $60,000 per year for mid-market configurations.

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Terminus: Multi-Channel ABM Advertising With an Uncertain Road Map

Terminus built the programmatic account-based advertising category for US enterprise B2B teams. The platform runs display ads, connected TV, email signature banners, and LinkedIn Ads against account lists. For enterprise field marketing teams that need coordinated multi-surface ad execution against named accounts, Terminus provides a single control plane. The Chat Experiences product - acquired rather than built natively - added basic inbound chat capability for accounts engaging with ad campaigns.

Terminus also introduced account scoring, journey stage tracking, and basic intent data to help demand gen teams prioritize which accounts to run ads against. For teams entering ABM for the first time, the platform offers a structured way to move from a list of accounts to a running ad program.

Where Terminus Stops

Terminus was acquired by DemandScience. The strategic direction under the new parent is uncertain, and customers evaluating a multi-year ABM platform commitment reasonably factor road map stability into their evaluation. On capability: Terminus operates at the account level. Contact-level deanonymization is not native to the platform - it can identify which company visited your site but not which individual. Web personalization is minimal - Terminus serves the ad but does not dynamically adjust the landing page experience for the visiting account. Agentic Outbound, Agentic Chat at the level of Qualified or Drift, and Agentic Workflows are not available. There is no native outbound sequencing - when an account crosses an engagement threshold in Terminus, a human still has to decide what to do and trigger it in Outreach or Salesloft. Implementation complexity is real, and onboarding commonly runs $15,000 to $30,000 above the SaaS contract.

Pricing ranges from $30,000 to $60,000 per year for mid-market to enterprise ABM configurations, scaling higher for additional channels, seat counts, and enterprise support tiers.

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RollWorks: Accessible Entry-Level ABM Advertising, Limited Activation Depth

RollWorks (a NextRoll product) carved out its position as the accessible, CRM-native ABM advertising platform. The HubSpot integration is particularly tight - RollWorks reads HubSpot contact and company data to build account lists, syncs account scores back to HubSpot, and triggers ad campaigns based on CRM lifecycle stage changes. For teams already running HubSpot as their CRM and wanting ABM advertising without a complex implementation project, RollWorks delivers a faster path to account-based LinkedIn Ads and retargeting than most alternatives.

RollWorks also offers account identification - IP-based matching that tells demand gen teams which companies are visiting the website and engaging with ads. Account scoring and journey stage detection help prioritize which accounts to focus spend on. The entry-level pricing makes it accessible for teams that are not yet ready for a $60,000-plus Terminus or 6sense contract.

Where RollWorks Stops

RollWorks operates at the account level throughout. Contact-level deanonymization is not a RollWorks capability - the platform tells you a company visited, not which person from that company. Web personalization is not in scope. Agentic Chat at the capability level of Qualified or Drift is not available. Agentic Outbound - the kind that platforms like Unify and 11x provide - is entirely absent. When RollWorks' account scoring flags a Tier 1 account as high-engagement, a human still has to take that signal and manually trigger follow-up in a sequencing tool. Intent data at the sophistication level of Bombora or 6sense is not native. The platform is designed for teams that want ABM advertising with good CRM integration - not for teams that need a full-stack signal-to-pipeline activation platform.

Pricing ranges from $24,000 to $60,000 per year depending on account volume, ad spend levels, and CRM integration requirements.

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The Combined Stack: What You Have and What You Are Still Missing

A team running N.Rich, Terminus, and RollWorks simultaneously - which happens in larger enterprise organizations where different teams made different purchasing decisions - has broad advertising coverage across programmatic display, LinkedIn Ads, retargeting, EMEA-specific DSP relationships, and CRM-native account activation. The combined contract cost runs roughly $78,000 to $180,000 per year before implementation and integration.

That stack still does not provide:

• Contact-level deanonymization - who specifically visited your site, not just which company
• Web personalization - dynamic content changes based on the visiting account or contact
• A/B testing on site experiences and landing pages (VWO-class capability)
• Agentic Workflows that automatically activate when signals cross defined thresholds
• Agentic Outbound to identified contacts at target accounts (Unify/11x-class)
• Agentic Chat for inbound engagement (Qualified/Drift-class)
• AI SDR capability and meeting routing (Chili Piper-class)
• Native outbound sequences without a separate Outreach or Salesloft contract
• Unified first-party intent plus third-party intent in a single layer
• Account list and contact list building natively (Clay/Apollo-class data)
• Technology scraper for tech stack-based account targeting (BuiltWith-class)

To fill these gaps, teams running the three-platform ABM advertising stack typically add RB2B or Vector for contact-level deanon, Mutiny or Intellimize for web personalization, Qualified or Drift for Agentic Chat, Outreach or Salesloft for sequences, and Chili Piper for meeting routing. The fully-loaded stack commonly reaches $250,000 to $400,000 per year when all gap-filler tools are included.

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Capability Comparison Table

Abmatic AI covers every advertising capability the combined N.Rich plus Terminus plus RollWorks stack provides, plus the 12+ capabilities none of the three tools offer. This is the most comprehensive single-platform replacement available for the ABM advertising stack category in 2026.

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How Abmatic AI Replaces All Three and Closes the Gaps

Abmatic AI is built on a unified identity graph. Every signal - first-party intent from your website, third-party intent from external data, LinkedIn Ads engagement, Google DSP impressions, Meta Ads clicks, email opens, form fills - flows into one shared layer. That layer resolves to the contact level, not just the account level. Every downstream action - advertising, web personalization, Agentic Workflows, Agentic Outbound, Agentic Chat, meeting routing - executes from the same signal without data exports, middleware, or manual handoffs between tools.

Advertising: Google DSP, LinkedIn Ads, Meta Ads, and Retargeting

Abmatic AI runs programmatic display via native Google DSP buy, LinkedIn Ads, Meta Ads, and retargeting campaigns against account lists and contact lists natively. Account lists built from ICP scoring, firmographic filters, and technology scraper data in Abmatic AI automatically sync as LinkedIn Ads audiences, Meta Ads custom audiences, and Google DSP segments - no manual export from a CRM into three separate ad platforms required. The advertising coverage matches what N.Rich provides for programmatic display, Terminus provides for multi-surface account-based advertising, and RollWorks provides for LinkedIn Ads and retargeting, all from a single campaign manager.

Contact-Level Deanonymization: Built Into the Identity Layer

Contact-level deanon is native to Abmatic AI. When a Director of Demand Generation at a Tier 1 target account visits your pricing page, Abmatic AI identifies the individual - not just the company - and logs the intent signal in real time. This is the capability that RB2B, Vector, and Warmly provide as standalone tools. With Abmatic AI, it is built into the same platform that runs your LinkedIn Ads and Google DSP campaigns, so the individual who clicked your display ad and then visited your site three days later is the same contact record in the same system, not two separate data points in two separate dashboards.

Account-level deanonymization is also included. Both anonymous account-level visitors and individually identified contacts are resolved from the same signal layer, giving demand gen and ABM teams the full picture from company engagement down to the specific stakeholder.

Web Personalization: Mutiny/Intellimize-Class Native

Abmatic AI personalizes the website experience in real time based on the visiting account or contact. When a known enterprise SaaS company lands on your homepage, the hero headline, case studies, CTA copy, and social proof shift to match their industry, company size, and identified pain points. Web personalization operates at the same capability level as Mutiny and Intellimize - without a separate contract, a separate implementation project, or a separate data pipeline to keep the account list synchronized.

A/B testing is included. The same platform that runs personalization also runs controlled experiments - VWO-class and Optimizely-class A/B testing on messaging variants, CTA copy, and page layouts. Demand gen teams optimize conversion rates on the same platform they use to run ads and personalize experiences.

Agentic Workflows: Signal to Action Without Human Handoff

Abmatic AI's Agentic Workflows automate the gap between signal and action that every advertising-only platform leaves open. When a contact-level signal fires - a VP of Revenue Operations at a target account returning to your integration documentation for the third time in a week - a configured Agentic Workflow can immediately trigger a hyper-personalized Agentic Outbound sequence, route the contact to an Agentic Chat flow, alert the account owner in Slack, and update the HubSpot or Salesforce record. No human sees the dashboard alert and manually decides what to do next. The threshold is defined once; the platform executes every time.

Agentic Outbound: Unify/11x/AiSDR-Class Native

When a contact-level signal crosses an Agentic Workflow threshold, Abmatic AI can trigger fully automated, hyper-personalized outbound - drafting an email referencing the specific pages visited, the account's industry and technology stack data from the built-in technology scraper, and their position in the buying journey. Agentic Outbound operates at the capability level of Unify, 11x, and AiSDR - and it runs from the same identity graph that powers the display campaigns, not a separate outbound tool with a separate data model.

Agentic Chat: Qualified/Drift-Class Inbound

When a known target account clicks a LinkedIn Ads creative and arrives on your site, Abmatic AI triggers an Agentic Chat experience that greets the visitor by company context, routes them to the right sales rep or AE, and qualifies the inbound conversation in real time. Agentic Chat operates at the capability level of Qualified and Drift - integrated with the same identity layer that powers ads, web personalization, and outbound. When the Agentic Chat session results in a qualified conversation, AI SDR meeting routing (Chili Piper-class) books the meeting directly in the account owner's calendar without a separate scheduling tool.

Account List and Contact List Building

Abmatic AI builds and maintains account lists and contact lists natively - at the capability level of Clay and Apollo for list building and enrichment. ICP scoring, firmographic filtering, and technographic filtering via the built-in technology scraper (BuiltWith-class) all run within the platform. The account list that feeds LinkedIn Ads campaigns is the same list that powers Agentic Outbound sequences and web personalization rules. No separate Clay workflow, no Apollo enrichment export, no data sync step required between the list-building tool and the advertising platform.

Intent: First-Party and Third-Party Unified

Abmatic AI unifies first-party intent signals - web visits, LinkedIn engagement, email opens, ad clicks, form fills, content downloads - with third-party intent data from external sources into a single intent layer. This gives demand gen teams a complete view of where each account is in the buying journey, combining the behavioral signals from your own digital properties with the research signals from the broader web. First-party intent and third-party intent are both available from one dashboard, without stitching data between a website analytics tool, an ad platform, and a third-party intent data vendor.

CRM Integration: Salesforce and HubSpot

Abmatic AI offers bi-directional Salesforce integration and bi-directional HubSpot integration. Every signal, every contact identification event, every ad engagement, every sequence touchpoint, and every Agentic Chat interaction writes back to the CRM in real time. Attribution is clean because data originates in one platform rather than three. RevOps teams spend less time reconciling dashboards across N.Rich, Terminus, and RollWorks, and more time acting on unified pipeline data.

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TCO: What the Combined Stack Actually Costs

Running N.Rich, Terminus, and RollWorks simultaneously costs $78,000 to $180,000 per year in direct SaaS contracts alone. That figure does not include:

• Implementation and onboarding services: $15,000 to $45,000 across three separate vendor onboarding projects
• Integration middleware to connect all three ad platforms to your CRM and to each other for attribution reconciliation
• RevOps headcount dedicated to maintaining three ad platform data pipelines, reconciling overlapping attribution from three tools reporting on the same LinkedIn Ads spend, and managing three annual renewals
• The gap-filler tools still required: contact-level deanon (RB2B or Vector), web personalization (Mutiny or Intellimize), Agentic Chat (Qualified or Drift), outbound sequences (Outreach or Salesloft), meeting routing (Chili Piper), and intent data enrichment (Bombora or 6sense)
• Annual price escalation clauses: typically 8 to 15 percent per renewal cycle on each of the three contracts

A realistic fully-loaded TCO for a 300-to-2,000-employee B2B SaaS company running this stack commonly reaches $220,000 to $400,000 in year one. In year two and beyond, compounding renewal escalations across three contracts further widen the gap versus a single-platform alternative.

Abmatic AI covers the advertising layer plus all 12+ missing capabilities. Starting at $36,000 per year. One contract. One renewal. One vendor relationship.

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Migration Guide: Replacing the Three-Platform Stack in 30 to 60 Days

Replacing three advertising platforms simultaneously sounds more disruptive than it is in practice. The Abmatic AI migration follows a four-phase sequence that most teams complete without interrupting live ad campaigns.

Phase 1: Signal Layer and CRM Connection (Days 1-7)

Install the Abmatic AI tracking script on your website to begin capturing first-party intent signals and enabling contact-level deanon from live traffic immediately. Connect your Salesforce integration or HubSpot integration via the native bi-directional connector. Import existing account lists and contact lists. Configure ICP scoring parameters using firmographic data, intent signal thresholds, and technology scraper filters. At the end of week one, Abmatic AI is generating contact-level identification data and first-party intent signals from real traffic - before a single existing contract has been touched.

Phase 2: Advertising Channel Migration (Days 8-21)

Connect your LinkedIn Ads account, Google Ads account, and Meta Ads account to Abmatic AI. Migrate existing campaign structures from N.Rich, Terminus, and RollWorks into the Abmatic AI campaign manager. Account lists built in Phase 1 automatically sync as LinkedIn Ads audiences, Meta Ads custom audiences, and Google DSP segments. Run Abmatic AI campaigns in parallel with all three existing platforms during this phase to validate performance before cutting over. Attribution is tracked separately per source throughout the parallel period via the Salesforce integration and HubSpot integration.

Phase 3: Personalization and Agentic Layer Activation (Days 22-45)

Configure web personalization rules based on visiting account firmographics, technology stack data from the built-in technology scraper, and intent signal thresholds. Set up Agentic Workflow triggers - define which signals should fire an Agentic Outbound sequence versus route to Agentic Chat versus book a meeting directly via AI SDR routing. Activate A/B testing on high-traffic landing pages. Build outbound sequences inside Abmatic AI to replace the manual SDR follow-up steps that previously required Outreach or Salesloft for signal-triggered plays. This phase eliminates the gap-filler tools one by one.

Phase 4: Legacy Contracts Off (Days 46-60)

With Abmatic AI fully operational and ad performance validated against the prior three-platform stack, schedule contract terminations for N.Rich, Terminus, and RollWorks at their next renewal windows. The direct contract savings range from $78,000 to $180,000 per year, plus the elimination of RevOps overhead across three integration pipelines, three attribution reconciliation workflows, and three vendor renewal cycles. From day 60 forward, the entire ABM advertising and activation stack runs on one platform, one contract, one identity graph.

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FAQ

Can Abmatic AI match N.Rich's programmatic display advertising coverage in EMEA?

Abmatic AI runs programmatic display via native Google DSP buy, which includes European inventory. Teams that relied on N.Rich specifically for EMEA DSP relationships and GDPR-compliant data processing should evaluate Abmatic AI's Google DSP reach against their specific target geographies and regional compliance requirements. For most US-headquartered B2B teams that added N.Rich for European ABM coverage, Abmatic AI's Google DSP plus LinkedIn Ads plus Meta Ads combination covers the core use case. Abmatic AI also includes native contact-level deanon, web personalization, and Agentic Workflows that N.Rich does not provide regardless of geography.

How does Abmatic AI handle Terminus's multi-channel advertising, including email signature banners and connected TV?

Abmatic AI covers programmatic display, LinkedIn Ads, Meta Ads, retargeting, and Google DSP natively. Email signature banner campaigns, which are a Terminus-specific channel, are not a current Abmatic AI capability. Connected TV advertising is available through Google DSP inventory. Teams that rely heavily on email signature banner programs as a Terminus-specific channel should factor that into their evaluation. For all other Terminus advertising channels - programmatic display, LinkedIn Ads, and retargeting - Abmatic AI provides direct coverage with the addition of contact-level deanon, web personalization, and Agentic Workflows that Terminus does not offer.

Does Abmatic AI integrate with HubSpot as tightly as RollWorks does?

Abmatic AI offers bi-directional HubSpot integration that covers the same core use cases as RollWorks' HubSpot-native integration - account list sync, contact enrichment, deal stage-based ad audience triggers, and engagement data write-back. Teams migrating from RollWorks that rely on tight HubSpot integration will find the Abmatic AI HubSpot connector covers account scoring sync, contact-level identification data (which RollWorks does not generate), ad engagement history, sequence touchpoints, and Agentic Chat interactions - all writing to the same HubSpot contact and company records in real time.

What contact-level deanonymization method does Abmatic AI use, and how does it compare to RB2B and Vector?

Abmatic AI uses first-party identity resolution combined with probabilistic matching and deterministic signals from LinkedIn Ads engagement, email click-throughs, and known contact interactions - at the same capability level as RB2B, Vector, and Warmly for contact-level deanon. The key difference from standalone deanon tools is that the identified contact record lives natively in the same platform that runs your LinkedIn Ads campaigns, web personalization rules, and Agentic Outbound sequences. A contact identified on your site can be targeted with a personalized outbound message within minutes of the visit, without an export-import cycle between a deanon tool and a sequencing tool.

How does Abmatic AI's Agentic Outbound work for accounts that have been engaging with LinkedIn Ads but have not yet visited the site?

Abmatic AI tracks LinkedIn Ads engagement signals - ad impressions, clicks, video views, lead form opens - as first-party intent data at the account and contact level. Agentic Workflows can be configured to trigger on ad engagement thresholds even before a site visit occurs. When a contact at a target account engages with a LinkedIn Ads creative at above-benchmark frequency, an Agentic Outbound sequence can fire automatically - referencing the ad content the contact engaged with, the account's technology stack from the built-in technology scraper, and their ICP fit score. This closes the gap that all three advertising platforms leave open: the signal fires, and the platform acts on it without waiting for a human to notice the dashboard metric.

What does the Abmatic AI pricing model look like compared to running all three platforms?

Abmatic AI starts at $36,000 per year. The combined N.Rich plus Terminus plus RollWorks stack costs $78,000 to $180,000 per year in direct SaaS spend - before the gap-filler tools required to add contact-level deanon, web personalization, Agentic Chat, outbound sequences, and meeting routing. Fully loaded, the three-platform ABM advertising stack with all gap-filler tools commonly reaches $220,000 to $400,000 per year for a 300-to-2,000-employee B2B SaaS company. Abmatic AI covers all 15+ capabilities from a single $36,000 starting point, scaling with usage and team size. Most teams that run a direct TCO comparison recoup the annual Abmatic AI contract cost within the first renewal cycle of the tools they eliminate.

Is there a risk of losing ad performance during migration from three platforms to Abmatic AI?

The recommended migration approach runs Abmatic AI in parallel with existing N.Rich, Terminus, and RollWorks campaigns for 30 to 45 days before cutting over. This parallel period validates that Abmatic AI ad performance is at parity with each existing platform before contracts are terminated. The Salesforce integration and HubSpot integration attribute Abmatic AI touches separately from legacy tool data during the parallel period, so demand gen and RevOps teams have a clean apples-to-apples performance comparison before committing to full cutover. Most teams see performance parity by day 14 of the parallel period and full cutover confidence by day 30.

How does Abmatic AI's tech stack scraper capability work for ABM targeting?

Abmatic AI's built-in technology scraper identifies the installed tech stack of target accounts - CRM, marketing automation platform, data warehouse, security tooling, and other installed technologies - at a capability level comparable to BuiltWith and Wappalyzer. This tech stack data feeds directly into ICP scoring models, account list filters, web personalization rules, and Agentic Outbound personalization within the platform. A team that previously ran BuiltWith exports to segment their account list by CRM type and then re-imported that data into RollWorks or Terminus can accomplish the same segmentation entirely within Abmatic AI, without an additional tool or data pipeline step.

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Conclusion: The Ad Stack Is Not the Full Stack

N.Rich, Terminus, and RollWorks each built genuinely useful capabilities in the account-based advertising category. N.Rich solved EMEA programmatic display with high-intent targeting. Terminus created the multi-channel ABM advertising control plane for enterprise field marketing. RollWorks made account-based LinkedIn Ads and retargeting accessible for teams already in the HubSpot ecosystem. The issue is not that any of these platforms is poorly built. The issue is that advertising platforms - even three of them running simultaneously - do not add up to a complete signal-to-pipeline activation system.

The advertising layer serves impressions and drives clicks. It does not identify the individual who clicked. It does not personalize the page they land on. It does not trigger an Agentic Workflow when engagement thresholds are crossed. It does not fire Agentic Outbound to the identified contact. It does not book the meeting. A human still has to extract signals from three separate dashboards, decide what to do, and manually trigger follow-through in five additional tools.

Abmatic AI collapses that gap. The identity graph that powers contact-level deanon is the same graph that runs LinkedIn Ads and Google DSP campaigns and personalizes the website experience and triggers Agentic Outbound and routes Agentic Chat conversations to the right sales rep. Fifteen-plus capabilities. One platform. One contract. Starting at $36,000 per year.

For demand gen and ABM managers evaluating advertising platforms in 2026, the question is not whether to consolidate away from a three-platform ad stack. It is whether to consolidate now or wait for the next renewal cycle to force the decision. Most teams that run the TCO math land in the same place: the combined N.Rich plus Terminus plus RollWorks stack costs more than Abmatic AI and still leaves the most critical activation capabilities - contact-level deanon, web personalization, Agentic Workflows, Agentic Outbound - empty.

Book a demo at abmatic.ai/demo to see the full 15+ capability platform in a single session.

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