6 Best Account-Based Advertising Platforms for B2B Teams in 2026

We reviewed 14 popular account-based advertising tools. After running each through a category test (does it actually serve paid ads to specific accounts or contacts, with real targeting controls rather than just IP retargeting?) six made the list.

This article is for teams managing a defined account list who need to pick an advertising platform: whether you’re running ads to warm up a buying committee before a sales sequence, trying to reach multiple stakeholders at the same account across different channels, or figuring out whether contact-level or account-level targeting is right for where you are. We evaluated each platform on targeting precision, channel coverage, attribution depth, and what you can actually verify from your own reporting.

We looked at four criteria that matter most to demand gen and ABM teams picking a dedicated advertising platform:

The line between account-based advertising and regular programmatic retargeting is whether you’re reaching specific pre-defined accounts, not just anyone who happens to visit your site from a relevant company. Contact-level targeting goes a step further: you’re specifying exactly which named people within target accounts see your ads, not just everyone at the company.

Some platforms surface intent from what specific people actually search for and read. Others infer account intent from IP addresses, bidstream data, and website behavior. We looked at which signal types each platform uses, how they source that data, and whether signals are accessible at the account or contact level.

Buying committees don’t all spend time in the same place. We looked at whether each platform covers LinkedIn, programmatic display, Google, and social simultaneously from one interface, or whether running a multi-channel program requires piecing together separate campaigns in separate systems.

ABM advertising only earns its budget if you can trace it back to pipeline. We looked at whether each platform connects ad engagement to specific pipeline outcomes and whether those insights reach the sales team in a format they’ll act on.

Influ2 is the only platform on this list that serves ads directly to specific named contacts within your target accounts, rather than to accounts, lookalike audiences, roles, or job titles. Where other platforms tell you that someone at Acme engaged with an ad, Influ2 tells you that Claire Johnson in procurement at Acme saw Ad A 10 times, clicked the ad once, read a third-party article about your category, and searched for relevant keywords in the last seven days.

Influ2 is a contact-level ABM platform that delivers personalized ads to named contacts across LinkedIn, Facebook, Instagram, Google, Bing, and Amazon simultaneously from one interface. You add your ad creative, set up journeys outlining when each ad should be shown,  upload a contact list or sync it directly from your CRM (grouped into cohorts) and launch your campaign. Influ2 tracks when one of your contacts sees or engages with each ad, and moves them through your journey automatically based on your set criteria.

What makes it stand out:

• Contact-level ad delivery without cookies or IP targeting. You know by name which specific person you reached. No cookies. No IP addresses that represent an entire office building. The approach is GDPR and CCPA compliant by design, not as an afterthought.
• Revenue reporting at the contact level. Influ2’s Revenue Reporting connects ad engagement to pipeline outcomes per named contact: meetings booked, opportunities created, pipeline progressed, and revenue won.
• Custom Buyer Journeys that adapt by contact. Influ2’s buyer journey orchestration automatically adjusts ad messaging based on each contact’s sales stage, engagement history, and role in the buying committee. A deal champion sees different messaging than an economic buyer.
• Sales Priorities dashboard. Sales reps see which named contacts engaged with ads, what the engagement was, and when it happened, prioritized by recency. GTM teams can act on signals before the contact’s attention shifts elsewhere.

Pricing: Custom pricing.

Best for: Teams running complex B2B sales cycles where multiple stakeholders influence deal outcomes, where proving ad attribution at the individual contact level matters, and where sales and marketing need to work from the same named contact list rather than separate account lists.

Limitations: No self-serve pricing tier. Getting full value requires a reasonably clean CRM and a defined target contact profile before launch.

Learn more about Influ2's contact-level advertising here.

Demandbase One combines account intelligence, a proprietary B2B DSP, and pipeline attribution into one platform, positioned primarily for large enterprises running account-based programs at scale. It’s the broadest product on this list in terms of scope: intent data, ad activation, and ABM orchestration in a single system.

Demandbase uses bidstream data (real-time advertising auction data from publisher networks) combined with first-party firmographic, technographic, and intent data to build account-level audiences, then serves ads through a B2B-focused DSP across premium business and professional inventory. Account intelligence includes buying stage signals, company activity data, and account-level intent aggregated from multiple sources.

What makes it stand out:

• B2B-focused demand-side platform. The DSP is built specifically for professional audiences and business inventory, with account-level data baked into targeting logic rather than bolted on after the fact.
• Bidstream plus first-party data for account identification. Uses real-time auction data to identify which publisher sites accounts are actively visiting, combined with Demandbase’s own firmographic and intent layers.
• Account advertising, sales intelligence, and orchestration from one system. ABM campaigns, account scoring, and sales workflows can run from the same platform without separate point solutions, which reduces the data sync complexity that comes with running multiple tools.

Pricing: Custom pricing.

Best for: Large enterprises with dedicated ABM operations teams, existing relationships with account data vendors, and budgets that can support both platform licensing and significant managed ad spend.

Limitations: Account-level targeting only. No contact-level precision. Steep implementation curve, with configuration typically taking weeks and ongoing segment maintenance required. Attribution is account-level, not individual-level.

6sense uses machine learning to predict which accounts in your total addressable market are in-market before they’ve raised their hand, then helps marketing and sales teams orchestrate programs to reach those accounts at the right moment. Advertising execution is one component of a broader account orchestration platform.

6sense blends its proprietary Signalverse intent data with third-party providers including Bombora and G2 to surface accounts showing early buying signals, then provides workflow tools to coordinate outreach across paid ads, email, and sales sequences. Predictive models train on patterns from your own historical won deals and apply that learning to identify similar accounts in your full TAM.

What makes it stand out:

• Predictive AI for account scoring. Builds in-market scores from win patterns in your historical CRM data and applies them to your full addressable market. Surfaces accounts that haven’t engaged yet but fit the behavioral profile of accounts that eventually converted.
• Signalverse intent data aggregation. Combines third-party intent signals from web activity, Bombora, G2, and others with job change signals, funding events, and technographic changes. Covers multiple buying signals beyond just web behavior.
• 80+ segmentation filters for account audiences. Granular firmographic and behavioral segmentation lets teams build precise, automatically-refreshed ICP segments without manual list management.

Pricing: Custom pricing.

Best for: Mid-market and enterprise teams focused on account prioritization who want predictive AI to surface in-market accounts they haven’t identified yet, and are prepared for the implementation investment.

Limitations: Implementation typically takes three or more months before predictive models are calibrated to your data. Requires dedicated ops to maintain segments and intent models over time. Account-level intent only. Companies with limited historical win data get less value from predictive scoring until that data accumulates.

AdRoll ABM is built for teams that want to run account-based advertising programs without a dedicated ABM operations hire. It combines account-level targeting, retargeting of site visitors from target accounts, and fit-and-intent scoring in a setup that can be running within days of signing.

AdRoll ABM uses cookie and IP-based targeting to identify and retarget website visitors from target accounts, combined with account-level intent data from Bombora and G2 to prioritize which accounts are in-market. Ad delivery covers programmatic display, LinkedIn, and other social channels.

What makes it stand out:

• Faster to activate than enterprise alternatives. G2 reviewers frequently cite ease of implementation compared to Demandbase and 6sense. Most teams get their first campaign running within a week of onboarding.
• Built-in account fit and intent scoring. Combines Bombora and G2 intent data with your own CRM data to score accounts by both fit and intent simultaneously, without a separate intent data vendor contract.
• Automated retargeting from account lists. When contacts from target accounts visit your site, AdRoll automatically serves them ads across its display network. Audience updates happen without manual list management.
• Multi-channel ad management. Display, LinkedIn, and other social from one interface, rather than running separate campaigns in separate dashboards.

Pricing: Custom.

Best for: Growth-stage and mid-market teams getting started with account-based advertising, teams without a dedicated ABM ops hire, or companies looking for a lighter alternative before graduating to enterprise platforms.

Limitations: Account-level targeting only. No contact-level precision. Relies on cookies and IP targeting. Lighter AI and predictive capabilities than 6sense. Attribution is activity-based rather than pipeline-influenced.

Madison Logic combines content syndication, display advertising, and connected TV into one managed ABM activation platform, with a proprietary intent data layer built from its own publisher network. Its channel mix is different from the other platforms on this list: content syndication, where your gated assets and thought leadership get placed in front of buyers at target accounts through a B2B publisher network, is the channel other platforms don’t offer.

Madison Logic uses its ML Insights intent data layer, which combines signals from its own content syndication network with third-party B2B intent data, to identify and prioritize in-market accounts. Campaigns then run across three channels: content syndication, programmatic display, and CTV. The platform operates primarily as a managed service rather than self-serve.

What makes it stand out:

• ML Insights proprietary intent data. Combines intent signals from Madison Logic’s own content syndication network with third-party B2B intent sources to build account intent scores. G2 reviewers note this as a differentiator over platforms that rely entirely on third-party data providers.
• Content syndication as a distinct ad channel. In addition to display and CTV, Madison Logic places your content directly in front of buyers at target accounts through a B2B publisher network. This reaches buyers in active research mode, not just while they’re browsing.
• Multi-touch attribution across channels. The platform tracks account engagement across content syndication, display, and CTV in a unified view, connecting touchpoints across all three channels.

Pricing: Custom pricing. 

Best for: Teams running content-led ABM programs who want to reach in-market buyers through content syndication, or teams looking to add CTV to an existing ABM advertising mix alongside display.

Limitations: Primarily managed service rather than self-serve. G2 reviewers note that some features require demo walkthroughs to use effectively, and the platform works best with support from the Madison Logic team. Content syndication performance can be harder to isolate from display in attribution reporting.

N.Rich is an ABM advertising platform built around intent-driven account selection and programmatic display, positioned as an option for growth-stage and mid-market teams who find enterprise platforms out of reach on price or implementation complexity. G2 reviewers consistently describe it as “comparable ABM power at a startup-friendly price.”

N.Rich identifies in-market accounts using a combination of first-party and third-party intent signals, then activates programmatic display campaigns to those accounts. The platform covers account selection, intent signal tracking, display advertising, and engagement reporting in one interface.

What makes it stand out:

• Intent-driven account prioritization. N.Rich helps teams shift from “we’re targeting all 500 accounts on our TAM list” to “these 80 accounts are showing in-market signals right now.” G2 reviewers cite this as solving a timing problem: reaching accounts when they’re actively evaluating, not just when they happen to be on a list.
• Accessible entry point for scale-ups. G2 reviewers consistently note that N.Rich offers comparable ABM advertising capability to established enterprise platforms at a price point more accessible to startups and growth-stage companies. A head of marketing at a mid-market company wrote: “Comparable ABM power at a startup-friendly price, backed by an outstanding team.”
• Display advertising tied to intent signals. Serves programmatic display ads to target accounts based on active intent signals, with account engagement tracked and reportable.

Pricing: Custom pricing.

Best for: Growth-stage and mid-market teams that need intent-driven account selection with display advertising, who find Demandbase or 6sense out of range on price or implementation burden.

Limitations: Account-level targeting. No contact-level precision. G2 reviewers note that CRM sync lag can be a friction point for real-time activation. Smaller brand recognition than established enterprise platforms may require more internal justification when presenting to budget holders.

LinkedIn’s native ABM targeting lets you build account and contact-based audiences directly in LinkedIn’s ad platform. It’s a channel worth using regardless of which platform you pick, and several platforms on this list activate ads through LinkedIn as part of a broader mix. It didn’t make the list as a standalone platform because it covers only one channel. Teams that need to reach buying committees across display, Google, Facebook, and LinkedIn from one interface will need a dedicated platform rather than LinkedIn alone.

Terminus was a dedicated account-based advertising platform that pioneered the category. It was acquired and merged into DemandScience in 2023 and is no longer sold as a standalone product.

Bombora is a leading B2B intent data provider whose co-op intent data powers several platforms on this list, including Demandbase and AdRoll ABM. It’s a data source, not an advertising platform. If you want standalone intent data to layer into an existing ad platform, Bombora is worth evaluating separately, but you’d still need a separate platform for actual ad activation.

The right choice depends on where you are in your ABM maturity and what your sales team actually needs from the data you produce. A few questions worth answering before you decide:

Most platforms on this list target accounts, meaning you’re reaching someone at Acme but not necessarily the specific person who’ll champion the deal internally. If your sales team needs to know which individual is engaging with ads, or if you’re running programs across a buying committee and need each stakeholder to see messaging relevant to their role, contact-level platforms like Influ2 are the meaningful distinction here.

Demandbase and 6sense are feature-rich but require dedicated ops investment before they deliver value. Most teams need three to six months before predictive models are calibrated and running well. AdRoll ABM and N.Rich activate faster. Influ2 and Madison Logic fall in the middle: more depth than AdRoll ABM, but without the 6-month implementation runway.

If your buyers live on LinkedIn and nowhere else, LinkedIn’s native targeting may be sufficient. If you need to reach them across display, Google, Facebook, and social simultaneously without managing separate campaigns across separate platforms, you need a platform with a real DSP. Influ2, Demandbase, and AdRoll ABM all support multi-channel activation from one interface. Madison Logic covers content syndication, display, and CTV.

Intent platforms surface different types of signals. Some track what accounts search for and read. Others rely on bidstream and IP data to infer account activity. Influ2 tracks what specific named contacts are doing across four signal types through Audienscope, which gives sales reps a specific reason to pick up the phone: “This person searched for X three times this week.” The signal type that matters most depends on how your sales team sells and what behaviors are leading indicators for your specific buyers.

If you need to show that specific ad engagements influenced specific deals, that requires attribution baked into the platform at the appropriate level of granularity. Influ2 does this at the contact level. Demandbase does it at the account level. AdRoll ABM, N.Rich, and Madison Logic provide engagement data with lighter pipeline attribution. Make sure the reporting your platform produces is the reporting your finance team and sales leadership will find credible.

The best platform depends on targeting needs and team size. Influ2 is the strongest choice for teams that need contact-level precision and want to prove pipeline influence down to the named individual. Demandbase and 6sense are more commonly deployed at companies running traditional account-level programs with dedicated ABM ops. AdRoll ABM and N.Rich are more accessible for growth-stage teams getting started. Madison Logic fits teams running content-led programs with a content syndication component.

Account-based advertising is the practice of serving targeted paid ads to specific companies or contacts that a team has already identified as high-fit prospects. Instead of running ads to a broad audience and hoping some of them are in the target market, the accounts or contacts are pre-defined, and success is measured by engagement from those specific accounts rather than aggregate impressions or click-through rates. It’s one component of a broader ABM program that also includes sales coordination, content personalization, and revenue tracking.

Account-level ABM advertising targets all employees at a defined company. You know that someone at Acme engaged, but not who. Contact-level ABM advertising targets specific named individuals. You know that Claire in procurement at Acme searched for relevant keywords on Google, read a third-party article about your category, and clicked your LinkedIn ad. Contact-level advertising enables more precise messaging by buyer role, more accurate attribution down to the individual, and tighter coordination between marketing and sales around the same named person.

Pricing varies significantly by platform and program scope. According to sources, AdRoll ABM starts around $1,750/month for smaller programs. Enterprise platforms like Demandbase and 6sense typically range from $25,000 to $100,000+/year. Influ2, Madison Logic, and N.Rich are custom-priced and require a demo to get a quote. Budget for both platform licensing and the ad spend running through the platform, which can be substantial at scale. Teams running serious ABM programs typically also need at least one person dedicated to managing the platform and the campaigns.

Yes, all the platforms on this list offer CRM integrations, typically with Salesforce and HubSpot as the primary supported systems. The quality and depth of that integration varies. Influ2’s Cohort Builder syncs directly with CRM data to keep contact audiences updated as deal stages and contact statuses change. Demandbase and 6sense both offer deep CRM integrations that surface account scores and intent data directly in Salesforce. AdRoll ABM and N.Rich sync contact lists and engagement data back to CRM. For any of these platforms, a clean CRM is the prerequisite. The platform is only as useful as the contact and account data it has to work with.

General programmatic advertising targets audiences by demographic, behavioral, and contextual criteria across a broad network, without specifying which companies or contacts should see the ads. Account-based advertising targets a pre-defined list of specific companies or contacts, regardless of whether they happen to match a demographic profile. The difference is intentionality: in ABM advertising, you’ve already decided who you want to reach before you serve a single impression, and you measure success by penetration into those specific accounts rather than aggregate reach or conversions from unknown audiences.

Any account-based advertising tool is going to be an investment, so it's important to evaluate your options wisely. The interest is full of stories of people who got into expensive long-term contracts with a platform, only to regret it after a few months.

If you want the most precise account-based advertising platform that shows you exactly who's being targeted, what they saw, and when they engaged, then ties it all to pipeline and revenue, Influ2 is worth a closer look.