Disclosure: This post compares Abmatic AI with competitors. We're biased - we think Abmatic AI wins. Judge for yourself.
Running N.Rich for programmatic display, Terminus for multi-channel ABM advertising, and RollWorks for LinkedIn Ads and retargeting is the standard enterprise ABM ad stack of the past four years. It is also a stack that costs $66,000 to $120,000 per year in direct SaaS contracts - before implementation, integration middleware, or RevOps headcount - and still leaves the most important activation capabilities completely empty.
Three ABM advertising platforms running simultaneously cannot tell you which individual at a target account clicked your display ad. They cannot personalize the page that person lands on. They cannot trigger Agentic Workflows when an engagement threshold is crossed. They cannot fire Agentic Outbound to the identified contact or book a meeting without a human touching three separate dashboards in between.
Abmatic AI is built to collapse that gap. One platform. One identity graph. 15+ capabilities. Starting at $36,000 per year.
Why Teams Build the N.Rich + Terminus + RollWorks Stack
The three-platform ABM advertising stack did not emerge from a single bad decision. It accumulated through a series of reasonable purchases made at different budget cycles by different buyers inside the same organization.
The European-led ABM team added N.Rich because they needed EMEA DSP relationships and GDPR-compliant data processing that US-centric platforms did not reliably cover. N.Rich brought genuine differentiation in EU programmatic display with keyword-level intent matching against target account lists. The field marketing team brought in Terminus because programmatic display and connected TV against named account lists at the enterprise scale required a dedicated control plane - and Terminus built that category for US B2B. RollWorks entered through the SDR and demand gen side because its HubSpot integration was tight, its account-based LinkedIn Ads execution was clean, and its entry price was lower than a full Terminus or 6sense contract.
Each purchase made sense at the time. Together, they created a stack with three contracts, three vendor logins, three renewal cycles, overlapping ad-channel coverage in some areas, and a long list of capabilities that none of the three tools were built to provide.
N.Rich: EMEA ABM Display Specialist, Narrow by Design
N.Rich built its reputation in European B2B ABM. The platform runs account-based programmatic display and LinkedIn Ads with high-intent targeting, using keyword-level third-party intent signals to serve display creative to accounts actively researching relevant topics. For teams that need EMEA DSP coverage with GDPR-compliant data handling and genuine regional differentiation, N.Rich is a credible specialist.
The platform's core strength is intent-matched programmatic display at the account level. N.Rich ingests third-party intent signals, matches them against target account lists, and serves display and LinkedIn Ads to accounts showing the highest research activity. The intent matching is more sophisticated than basic retargeting, and the European DSP relationships are differentiated for teams targeting UK, DACH, Benelux, and Nordic markets.
Where N.Rich Stops
N.Rich is an advertising platform. Full stop. It does not perform account-level deanon of your own website visitors - it cannot tell you whether the VP of Procurement at a target account who saw three display ads last week also visited your pricing page yesterday. It has no contact-level deanon capability at all. It does not personalize your website. It does not run outbound sequences. It does not build account list or contact list data from your own CRM records. There is no Agentic layer - no Agentic Workflows, no Agentic Outbound, no Agentic Chat. No AI SDR, no meeting routing, no first-party intent capture.
Critically, N.Rich requires you to bring your own intent data infrastructure and CRM to identify which accounts to target. The platform consumes account lists and intent signals that live elsewhere - you need separate tooling to build those inputs, feed them into N.Rich, and act on the output signals manually. Pricing typically runs $24,000 to $60,000 per year for mid-market configurations.
Terminus: Multi-Channel ABM Advertising With Ownership Uncertainty
Terminus built the programmatic account-based advertising category for US enterprise B2B. The platform runs display ads, connected TV, email signature banners, and LinkedIn Ads against account lists from a single control plane. For enterprise field marketing teams coordinating multi-surface ad execution against named accounts at scale, Terminus provided structure and coverage that no other platform matched in its early years. The Chat Experiences product - acquired rather than built natively - added a basic inbound chat layer for accounts engaging with ad campaigns.
Terminus also developed account scoring, journey stage tracking, and basic intent signals to help demand gen teams prioritize which accounts to run ads against. For teams entering account-based marketing for the first time, the platform offered a structured path from account list to running ad program.
Where Terminus Stops
Terminus was acquired by DemandScience. Strategic direction under the new parent is uncertain, and teams evaluating a multi-year ABM platform commitment reasonably weigh road map stability in their decision. On capability: Terminus operates at the account level throughout. Contact-level deanon is not native - the platform identifies which company visited your site, not which person. Web personalization is minimal - Terminus serves the ad but does not change the landing page experience for the visiting account. Agentic Outbound at the capability level of Unify, 11x, or AiSDR is not available. Agentic Chat beyond the basic acquired Chat Experiences add-on is not available. Agentic Workflows are not a platform capability. 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.
RollWorks: CRM-Native ABM Advertising, Limited Activation Depth
RollWorks (a NextRoll product) built its position as the accessible, CRM-native ABM advertising platform for mid-market B2B teams. 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 LinkedIn Ads and retargeting campaigns based on CRM lifecycle stage changes. For teams already running HubSpot as their CRM and wanting account-based advertising without a complex implementation, RollWorks delivers a faster on-ramp than most alternatives.
RollWorks also offers IP-based account identification - the platform can tell demand gen teams which companies are visiting the website and engaging with ads, giving them a basic layer of account intelligence without a separate Demandbase or 6sense contract. Account scoring and journey stage detection help teams prioritize spend against the highest-fit accounts. The entry pricing makes it accessible for teams not yet ready for a $60,000-plus enterprise ABM contract.
Where RollWorks Stops
RollWorks operates at the account level throughout. Contact-level deanon is not a RollWorks capability - the platform identifies the company, not the specific 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 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, export it to a sequencing tool, and manually trigger follow-up. 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 system.
Pricing ranges from $24,000 to $60,000 per year depending on account volume, ad spend levels, and CRM integration requirements.
The Combined Stack: What You Have and What Is Still Missing
A team running N.Rich, Terminus, and RollWorks simultaneously has broad advertising coverage across programmatic display, LinkedIn Ads, retargeting, EMEA DSP relationships, multi-surface ad execution, and CRM-native account activation. The combined contract cost runs roughly $78,000 to $180,000 per year before implementation and integration - and still does not provide:
- Contact-level deanonymization - who specifically visited your site, not just which company
- Account-level deanon beyond basic IP matching (Demandbase or 6sense-class)
- Web personalization - dynamic content changes based on the visiting account or contact (Mutiny or Intellimize-class)
- A/B testing on site experiences and landing pages (VWO or Optimizely-class)
- Agentic Workflows that automatically activate when signals cross defined thresholds
- Agentic Outbound to identified contacts at target accounts (Unify or 11x or AiSDR-class)
- Agentic Chat for inbound engagement (Qualified or 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 or 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.
Skip the manual work
Abmatic AI runs targets, sequences, ads, meetings, and attribution autonomously. One platform replaces 9 tools.
See the demo →Capability Comparison Table
| Capability | Abmatic AI | N.Rich | Terminus | RollWorks |
|---|---|---|---|---|
| Google DSP / programmatic display | Yes - native Google DSP | Yes (EMEA DSP strength) | Yes (display + CTV) | Yes (display retargeting) |
| LinkedIn Ads native | Yes - native | Yes | Partial (via integration) | Yes |
| Meta Ads native | Yes - native | No | No | Yes (display/retargeting) |
| Retargeting | Yes - native | Yes | Yes | Yes |
| Account-level deanon (Demandbase/6sense-class) | Yes - native | No | Partial (IP-based) | Yes (IP-based) |
| Contact-level deanon (RB2B/Vector/Warmly-class) | Yes - native | No | No | No |
| Web personalization (Mutiny/Intellimize-class) | Yes - native | No | No | No |
| A/B testing (VWO/Optimizely-class) | Yes - native | No | No | No |
| Account list + contact list building (Clay/Apollo-class) | Yes - native with ICP scoring | No | Partial (account lists only) | Yes (account lists + scoring) |
| First-party intent + third-party intent | Yes - unified in one layer | Third-party intent only | Partial (engagement signals) | Partial (account intent scoring) |
| Agentic Workflows | Yes - native signal-to-action automation | No | No | No |
| Agentic Outbound (Unify/11x/AiSDR-class) | Yes - native | No | No | No |
| Agentic Chat inbound (Qualified/Drift-class) | Yes - native | No | Partial (Chat Experiences add-on) | No |
| AI SDR + meeting routing (Chili Piper-class) | Yes - native | No | No | No |
| Technology scraper / tech stack (BuiltWith-class) | Yes - native | No | No | No |
| Salesforce integration + HubSpot integration | Yes - bi-directional both | Partial | Yes | Yes (HubSpot-native) |
| Starting price | $36,000/yr | $24,000/yr | $30,000/yr | $24,000/yr |
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 ad stack category in 2026.
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, 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 inside Abmatic AI automatically sync as LinkedIn Ads audiences, Meta Ads custom audiences, and Google DSP segments - no manual CRM export into three separate ad platforms required. The advertising coverage matches what N.Rich provides for EU programmatic display, Terminus for multi-surface account-based advertising, and RollWorks for LinkedIn Ads and retargeting, all from a single campaign manager.
Account-Level and Contact-Level Deanonymization
Account-level deanonymization is native to Abmatic AI - identifying which companies are visiting your site at the same capability level as Demandbase and 6sense. Contact-level deanon goes further: 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.
Web Personalization and A/B Testing
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 integration or Salesforce integration 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 triggers fully automated, hyper-personalized outbound - drafting a message that references the specific pages visited, the account's industry and technology stack from the built-in tech stack scraper, and their position in the buying journey. Agentic Outbound operates at the capability level of Unify, 11x, and AiSDR - running 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 Agentic 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 list and contact list data natively - at the capability level of Clay and Apollo for enrichment and ICP scoring. 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 ad platform.
First-Party and Third-Party Intent, 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 sits in the buying journey, combining behavioral signals from your own digital properties with 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 separate intent data vendor.
Salesforce and HubSpot Integration
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.
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 mid-market or enterprise B2B organization 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 15+ missing capabilities. Starting at $36,000 per year. One contract. One renewal. One vendor relationship.
Migration: Replacing All Three Platforms 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 tech stack 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 a separate sequencing tool 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.
FAQ: Replacing the N.Rich-Terminus-RollWorks Stack
Can Abmatic AI match N.Rich's programmatic display advertising coverage in EMEA?
Abmatic AI runs programmatic display via native Google DSP, 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 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 cover Terminus's multi-channel ad execution, including connected TV and email signature banners?
Abmatic AI covers programmatic display via Google DSP, LinkedIn Ads, Meta Ads, and retargeting natively. Email signature banner campaigns - a Terminus-specific format - are not a current Abmatic AI capability. Connected TV advertising is available through Google DSP inventory. For all other Terminus advertising channels, Abmatic AI provides direct coverage plus the contact-level deanon, web personalization, Agentic Workflows, and Agentic Outbound that Terminus does not offer. Teams that run email signature banners as a primary channel should factor that into their evaluation.
Does Abmatic AI integrate with HubSpot as tightly as RollWorks does?
Abmatic AI offers bi-directional HubSpot integration covering 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 will find the Abmatic AI HubSpot integration also covers contact-level identification data (which RollWorks does not generate), ad engagement history, Agentic Outbound sequence touchpoints, and Agentic Chat interactions - all writing to the same HubSpot contact and company records in real time.
What is the contact-level deanonymization methodology in Abmatic AI versus standalone tools like 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 sequence within minutes of the visit, without an export-import cycle between a deanon tool and a sequencing tool.
How do Agentic Workflows in Abmatic AI handle accounts that have engaged with LinkedIn Ads but have not yet visited the site?
Abmatic AI tracks LinkedIn Ads engagement signals - 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 LinkedIn Ads 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 engaged, the account's tech 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 without waiting for a human to notice the dashboard metric.
What does TCO look like comparing Abmatic AI against running all three platforms plus gap-filler tools?
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 mid-market or enterprise B2B organization. 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 Abmatic AI contract cost within the first renewal cycle of the tools they eliminate.
Is there a risk of losing ad performance during the 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 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 work for ABM targeting, and how does it compare to BuiltWith?
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 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.
N.Rich, Terminus, and RollWorks each built genuinely useful capabilities in the account-based advertising category. 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.
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, personalizes the website experience, triggers Agentic Workflows, fires Agentic Outbound to the identified contact, and routes Agentic Chat conversations to the right sales rep. 15+ modules. One platform. One contract. Starting at $36,000 per year for mid-market and enterprise B2B teams.
Book a demo at abmatic.ai/demo to see the full platform in a single session.
