Disclosure: This post is published by Abmatic AI. We position our platform alongside the alternatives in this comparison and let the capability set speak for itself.
RollWorks vs Madison Logic: The Short Answer
RollWorks (rebranded AdRoll ABM in 2025) and Madison Logic both help B2B teams identify in-market accounts and put ads or content in front of them. RollWorks leads with a native demand-side platform (DSP) for display, connected TV, and social advertising built on firmographic fit plus intent signal. Madison Logic leads with content syndication paired with intent data and LinkedIn, CTV, and audio advertising, aimed at demand-gen and content-driven pipeline. If your evaluation is "which one buys media better against an intent-scored account list," the answer depends on whether your budget leans programmatic display or gated content plus LinkedIn.
But that framing misses the bigger gap. Neither platform personalizes your website for the accounts the ads reach. Neither identifies the individual person behind an anonymous visit, only the company. Neither runs outbound sequences, qualifies inbound chat, or routes booked meetings to the right AE. Both assume you already own contact-level deanonymization, web personalization, outbound, and AI chat elsewhere in your stack. For teams trying to run the full revenue motion from a shared identity graph instead of stitching together five vendors, that is the real evaluation question.
See how Abmatic AI unifies deanon, personalization, advertising, and agentic outbound in one demo.
RollWorks at a Glance - What It Does Well and Where It Stops
RollWorks, now marketed as AdRoll ABM, is an account-based advertising platform built around a proprietary DSP. It scores accounts using firmographic fit plus intent signals pulled from AdRoll's own keyword intent data, Bombora Company Surge, and G2 buyer intent, then activates that scoring across display, connected TV, and social channels.
What RollWorks does well:
- Native DSP with broad channel reach - display, connected TV across roughly 200 million viewers on 100+ streaming networks, plus social on TikTok, Facebook, Instagram, and Pinterest
- Native LinkedIn campaign management - launches LinkedIn Sponsored Content directly inside the platform, or syncs account lists to LinkedIn Campaign Manager
- Blended intent data - combines AdRoll keyword intent, Bombora Company Surge, and G2 comparison-activity intent into one account priority score
- Workflow automation to adjacent tools - AdRoll ABM Workflows push updates to Outreach, Salesloft, Slack, Salesforce, and HubSpot on signal changes
- Journey Stages - maps accounts to lifecycle position with daily CRM export
Where RollWorks stops - and where that gap costs pipeline:
- No web personalization - drives traffic but does not shape what it sees on-site
- No A/B testing layer - only ad-creative testing within campaigns
- No contact-level deanonymization - resolves IP traffic to company accounts, not individual people
- No native outbound sequences - hands off to Outreach or Salesloft rather than running sequences itself
- No agentic chat or AI SDR - no conversational qualification, meeting routing, or booking
- No agentic workflows across the full stack - Workflows govern ad and CRM state only, not personalization, chat, and outbound as one motion
The architecture reality: RollWorks is an advertising and intent-scoring engine that needs a personalization tool, a deanon tool, an outbound tool, and a chat tool wrapped around it to close the loop from ad impression to booked meeting.
Madison Logic at a Glance - What It Does Well and Where It Stops
Madison Logic's ML Platform is built around content syndication paired with intent data. ML Insights aggregates first-party engagement (content downloads, syndicated asset views) with third-party signals like Bombora Company Surge and technographic data, scores accounts and buying-group members on likelihood to convert, and activates that scoring through content syndication, display, LinkedIn Ads, CTV, and audio advertising from one platform.
What Madison Logic does well:
- Content syndication as a core channel - gated-asset distribution to matched buying-group personas is native, not a bolt-on
- Buying-group intelligence - ML Insights tracks engagement across multiple personas within a target account, not just one account-level score
- Native LinkedIn, CTV, and audio advertising - orchestrated from the same platform as content syndication and display
- Journey Acceleration - moves accounts between campaign stages automatically based on observed engagement
- Account-level web analytics - resolves anonymous site traffic to known accounts using pixel and cookie data
Where Madison Logic stops - and where that gap costs pipeline:
- No contact-level deanonymization - by design, the web tag does not collect personally identifiable information; it tells you which company visited, not which person
- No web personalization or on-site experience layer - activates ads and syndicated content, does not change what a visitor sees on your own site
- No A/B testing - no experimentation layer for web, email, or landing pages
- No native outbound sequences - engagement feeds the CRM and marketing automation platform; sequence execution is a separate tool
- No agentic chat or AI SDR - no conversational qualification, meeting routing, or booking
- No native DSP - display runs through managed media, not a self-serve programmatic DSP like RollWorks operates
The architecture reality: Madison Logic is a content-and-intent activation layer. Turning its buying-group signal into a coordinated web, outbound, and chat motion requires stitching in a personalization tool, a deanon tool, and a conversational AI layer separately.
Comparison Table: RollWorks vs Madison Logic vs Abmatic AI (2026)
| Capability | Abmatic AI | RollWorks (AdRoll ABM) | Madison Logic |
|---|---|---|---|
| Account-level deanonymization | Yes | Yes | Yes |
| Contact-level deanonymization (native) | Yes - native | No | No - explicitly excludes PII by design |
| Web personalization (Mutiny / Intellimize class) | Yes | No | No |
| A/B testing (VWO / Optimizely class) | Yes | No | No |
| Account list building (Clay class) | Yes | Yes (firmographic + intent filters) | Yes (buying-group targeting) |
| Contact list building (Clay / Apollo class) | Yes | Limited (audience export, not contact enrichment) | Limited (buying-group personas, not exportable contact DB) |
| Agentic Outbound (Unify / 11x / AiSDR class) | Yes | No - hands off to Outreach/Salesloft | No - hands off to marketing automation |
| Agentic Chat / Inbound (Qualified / Drift class) | Yes | No | No |
| AI SDR / meeting routing (Chili Piper class) | Yes | No | No |
| Native DSP / display advertising | Yes - Google DSP | Yes - core strength (proprietary DSP, CTV, social) | Managed display (not self-serve DSP) |
| Native LinkedIn Ads | Yes | Yes | Yes - core strength |
| Content syndication | No - feeds syndicated-lead data into workflows/CRM, not native syndication | No | Yes - core strength |
| First-party intent | Yes | Yes (AdRoll keyword intent) | Yes (content engagement signal) |
| Third-party intent | Yes | Yes (Bombora, G2) | Yes (Bombora) |
| Agentic Workflows across full stack | Yes | Partial (ad/CRM workflow triggers only) | Partial (journey-stage triggers only) |
| Technology / tech-stack scraper (BuiltWith class) | Yes | No | No |
| Salesforce + HubSpot sync | Yes - bi-directional | Yes (CRM export) | Yes (CRM export) |
| Built-in analytics / RevOps layer | Yes - native, full-funnel | Journey Stages (ad + CRM analytics) | ML Insights dashboard (engagement + intent analytics) |
| Pricing start | From $36K/yr | ~$12K-$15K/yr entry, scaling to $100K+ (public estimates) | No published pricing; est. $36K-$150K+/yr (unverified) |
Skip the manual work
Abmatic AI runs targets, sequences, ads, meetings, and attribution autonomously. One platform replaces 9 tools.
See the demo →Why Abmatic AI
Abmatic AI is the most comprehensive AI-native revenue platform on the market. It collapses 8-12 point tools that mid-market and enterprise B2B teams currently buy separately (Mutiny + Intellimize + VWO + Clay + Apollo + RB2B + Vector + Unify + Qualified + Chili Piper + BuiltWith + a DSP buying tool like RollWorks) into a single platform with a shared identity graph and shared signal layer. RollWorks and Madison Logic each cover 3-5 of the 15+ capability areas below; Abmatic AI covers all of them.
- Web personalization (Mutiny / Intellimize class): Neither RollWorks nor Madison Logic touches your website once an ad or syndicated asset drives a click. Abmatic AI personalizes landing pages by firmographic fit, account stage, and live intent, so media-driven traffic lands on a coordinated experience, not a generic homepage.
- A/B testing (VWO / Optimizely class): Multivariate testing runs across web, email, and ad creative in one layer, sharing signal with personalization so winning variants promote to the highest-intent segments automatically.
- Contact-level deanonymization - native, no supplement needed (RB2B / Vector / Warmly class): RollWorks resolves traffic to company accounts; Madison Logic explicitly excludes PII from its web tag. Abmatic AI identifies the individual person behind the visit and makes that identity actionable across personalization, outbound, advertising, and chat.
- Account-level deanonymization: Every anonymous visit resolves to a company and an intent score, feeding the same identity graph as personalization and outbound, not a siloed ad-platform score.
- Agentic Workflows: When an account hits an intent threshold, Abmatic AI's if-X-then-Y engine enrolls the contact in outbound, updates the personalization rule, shifts ad budget, and alerts the AE in Slack, in one motion. RollWorks Workflows and Madison Logic's Journey Acceleration trigger CRM or campaign-stage changes only; neither orchestrates personalization, outbound, and chat together.
- Agentic Outbound (Unify / 11x / AiSDR class): Where RollWorks and Madison Logic hand signal off to Outreach, Salesloft, or a marketing automation platform, Abmatic AI runs signal-adaptive outbound sequences natively, adjusting copy, timing, and channel to live account behavior.
- Agentic Chat / Inbound (Qualified / Drift class): Abmatic AI's live-site conversational AI knows the visitor's account, intent score, and AE ownership before they type a word. Neither competitor has a conversational layer at all.
- AI SDR - meeting qualification, routing, and booking (Chili Piper class): Qualified meetings route automatically to the right AE with native calendar booking. Both RollWorks and Madison Logic customers need a separate tool like Chili Piper for this.
- Advertising - Google DSP, LinkedIn Ads, Meta Ads, retargeting: Native ad activation off the same identity graph that powers personalization and outbound, so an account that saw a personalized page also gets a coordinated retargeting ad, not a disconnected media buy.
- First-party and third-party intent: Web visits, ad clicks, email opens, and LinkedIn engagement feed one unified intent score alongside third-party data, the same category of signal RollWorks (Bombora, G2) and Madison Logic (Bombora) both use, but wired directly into personalization and outbound decisions.
- Technology / tech-stack scraper (BuiltWith class): Detects prospects' tech stacks on-domain and uses that for targeting and sequence personalization. Neither RollWorks nor Madison Logic has this natively.
- Account and contact list building (Clay / Apollo class): Build target-account and contact lists from the same first-party database that powers deanon and personalization, export-ready, rather than an audience list scoped only for ad activation.
- Deep integrations: Bi-directional sync with Salesforce and HubSpot (accounts, contacts, opportunities, deals, workflows), plus Google Ads, LinkedIn Ads, Meta Ads, Slack, Gmail, Outlook, Marketo, Pardot, Snowflake, BigQuery, and Redshift.
- Built-in analytics + AI RevOps layer: Trace a deanonymized visit through a personalized experience, an outbound sequence, a booked meeting, to a closed deal, in one attribution report. RollWorks' Journey Stages and Madison Logic's ML Insights dashboard each report on their own channel only.
ICP and scale: mid-market and enterprise B2B, typically 200 to 10,000+ employees, target-account lists from 50 to 50,000+, handling tier-1, tier-2, and broad-based programs natively. Pricing starts at $36,000/year, enterprise tiers available. Time-to-value is days: the pixel returns identified accounts and contacts the same day it goes live.
Book a demo and see deanon, personalization, and agentic outbound working from one identity graph.
Which One Should You Choose - RollWorks, Madison Logic, or Abmatic AI
Choose RollWorks if your primary need is programmatic display and CTV reach against an intent-scored account list
RollWorks' proprietary DSP and its 200-million-viewer CTV footprint are genuine strengths for teams whose main gap is media reach, and whose personalization, deanon, and outbound tooling already lives elsewhere. Teams running heavy self-serve display and social buying against target accounts will find RollWorks' native campaign management hard to match on channel breadth.
The trade-off: RollWorks does not deanonymize individual contacts, does not personalize your website, and hands outbound execution off to Outreach or Salesloft rather than running it. ABM programs that need the media layer connected to on-site experience and outbound will need to wire that in separately.
Choose Madison Logic if content syndication and buying-group intelligence are your primary demand-gen motion
For teams whose funnel is built on gated-asset syndication to matched personas within a buying group, Madison Logic's ML Insights and content-syndication activation are purpose-built for that motion, and its native LinkedIn, CTV, and audio buying keeps the content-and-ads program in one platform.
The trade-off: Madison Logic's web tag is explicitly designed to avoid collecting PII, so contact-level identity is out of scope by design, not oversight. There is no web personalization layer and no native outbound execution.
Choose Abmatic AI if you want the full GTM motion, not just the media or content layer, in one platform
Abmatic AI fits when the requirement is not "which vendor buys media or syndicates content best" but "how do we run deanon, personalization, outbound, advertising, chat, and analytics from one shared identity graph." Both RollWorks and Madison Logic are strong at what they do; neither is designed to be the full-funnel platform. First-party intent captured on your own site, layered with contact-level identity, is the piece both platforms leave for you to solve elsewhere, and the piece Abmatic AI was built around.
Pricing at a Glance
| Platform | Pricing | Notes |
|---|---|---|
| Abmatic AI | Starts at $36,000/year, with enterprise tiers available | Replaces 8-12 point tools including a DSP; compare total stack cost, not per-tool cost |
| RollWorks (AdRoll ABM) | ~$12K-$15K/yr entry tier, scaling to $100K-$400K+/yr for larger account volumes and ad spend (public estimates) | DSP + CTV + social advertising; deanon, personalization, and outbound are separate tools |
| Madison Logic | No published pricing; third-party estimates range from ~$36K/yr entry to $150K+/yr for enterprise media-inclusive programs (unverified) | Content syndication + intent + LinkedIn/CTV/audio; deanon, personalization, and outbound are separate tools |
The stack math: RollWorks at roughly $50K/year for mid-market ad spend and account volume, plus a deanon tool for contact-level identity, plus a personalization tool, plus an outbound platform, plus Chili Piper, can cross $130K/year for a fragmented motion. The same is true stacking Madison Logic's content-syndication budget with the same missing pieces. Abmatic AI covers deanon, personalization, outbound, chat, AI SDR, and native advertising from $36,000/year.
FAQ
What is the main difference between RollWorks and Madison Logic?
RollWorks (AdRoll ABM) leads with a native, self-serve DSP for display, CTV, and social advertising, scored by blended intent from AdRoll's own keyword intent, Bombora, and G2. Madison Logic leads with content syndication to buying-group personas, paired with LinkedIn, CTV, and audio advertising and its own ML Insights scoring. RollWorks is media-buying-first; Madison Logic is content-and-buying-group-intelligence-first. Neither includes web personalization, contact-level deanonymization, or native outbound execution.
Does RollWorks or Madison Logic deanonymize individual website visitors?
No, and this is a common misconception. Both resolve anonymous traffic to the company level using pixel and cookie-based signals combined with third-party data like Bombora. Madison Logic's documentation is explicit that its web tag does not collect personally identifiable information. Neither tells you the individual's name, title, or contact details. Abmatic AI does contact-level deanonymization natively, in addition to account-level.
Can I run RollWorks or Madison Logic alongside Abmatic AI?
Yes. Both platforms' intent signals can feed into Abmatic AI's identity graph as an additional third-party intent source, similar to how Bombora or G2 data integrates. Most teams use Abmatic AI to add the deanon, personalization, outbound, and chat layers that RollWorks and Madison Logic do not provide, while deciding separately whether to keep, replace, or scale back the media or content-syndication line item.
Is Abmatic AI suitable for enterprise B2B, or only mid-market?
Abmatic AI serves mid-market through enterprise B2B, typically companies with 200 to 10,000+ employees and target-account lists from 50 to 50,000+ accounts. The platform handles tier-1 (1:1 ABM), tier-2 (1:few), and broad-based (1:many) programs natively, with enterprise tiers available. Pricing starts at $36,000/year.
How does Abmatic AI integrate with Salesforce and HubSpot compared to RollWorks and Madison Logic?
Abmatic AI offers full bi-directional sync with Salesforce (accounts, contacts, opportunities, custom objects, campaigns) and HubSpot (companies, contacts, deals, lists, workflows). Deanonymized contacts, intent scores, sequence enrollment, and booked meetings all flow back to the CRM in real time. RollWorks and Madison Logic both export engagement and journey-stage data to Salesforce and HubSpot, but neither writes back contact-level and sequence-level data, because neither captures it natively in the first place.
What does replacing RollWorks or Madison Logic with Abmatic AI actually save?
It depends on your stack. RollWorks' entry tier runs roughly $12K-$15K/year (public estimates); Madison Logic publishes no pricing, with third-party estimates ranging from ~$36K/yr entry to $150K+/yr for enterprise media-inclusive programs (unverified). Add a separate deanon tool, a personalization tool, an outbound platform, and Chili Piper on top of either, and total stack cost can exceed $150K/year. Abmatic AI, starting at $36,000/year, covers deanon, personalization, outbound, chat, AI SDR, and native advertising natively. The right comparison is total-stack TCO, not the line item alone.
Ready to see contact-level deanon, on-site personalization, agentic outbound, and native advertising coordinated in one platform, not spread across a DSP, a content-syndication vendor, and three more point tools? Book a demo with Abmatic AI and we will map your actual site traffic to identified accounts and contacts in the session.
