Top 10 Account-Based Marketing Tools

How these ABM tools were evaluated and selected

This list is based on how these platforms are actually used inside live ABM programmes, rather than how they are positioned in marketing materials. The aim is to reflect real buying decisions across different levels of ABM maturity, from early adoption through to enterprise orchestration.

• Role in the ABM stack – Each tool is assessed based on where it typically sits in a real ABM programme (data, intent, orchestration, activation, or CRM layer), rather than generic feature sets.

• Practical use in live campaigns – Preference is given to tools that are commonly used in active ABM programmes, not just tools that are theoretically capable of supporting ABM.

• Maturity fit across organisations – Tools are evaluated based on whether they suit early-stage, scaling, or enterprise-level ABM programmes, since suitability changes significantly with maturity.

• Strength of account-level capability – Each platform is considered based on how well it supports account-based thinking (account selection, prioritisation, engagement, or measurement), rather than traditional lead-based marketing.

• Integration within real stacks – Priority is given to how commonly each tool fits into broader ecosystems (CRM, marketing automation, paid media, and sales workflows), since ABM rarely runs in isolation.

1. Demandbase

Overview

Demandbase is an ABM platform used to help teams focus on the right accounts and coordinate activity across marketing and sales. In most mature setups, it sits in the background as a coordinating layer rather than a day-to-day campaign tool.

It is typically used by organisations that already run ABM in a structured way and need better alignment across channels rather than basic targeting or lead generation.

Where it fits in ABM programmes

Demandbase tends to work best when ABM is already established and needs to be scaled across more accounts without losing focus.

It is commonly used for:

• prioritising target accounts based on interest and engagement signals
• running coordinated campaigns across ads, email, and sales outreach
• managing tiered account strategies (key accounts vs broader target lists)
• understanding how accounts are progressing through the buying journey

It is often found in teams that already have defined ICPs and are looking to bring more consistency to how those accounts are handled across departments.

Strengths and practical trade-offs

Demandbase is strongest when a business needs more structure across its ABM activity. It helps reduce the disconnect that can happen when marketing, sales, and advertising are working separately.

In real-world use, it is valued for:

• helping teams stay focused on high-value accounts rather than broad audiences
• improving coordination between marketing campaigns and sales outreach
• making account-level engagement easier to follow over time
• supporting more consistent messaging across channels

In practice, it works best when the underlying data and account setup are already in good shape. If CRM records or account definitions are inconsistent, the outputs can feel less reliable and harder to act on.

It also tends to suit teams that already have some experience with ABM. For companies still exploring the approach, it can feel more involved than necessary.

Compared to other tools in the category, it leans more towards structure and coordination, while lighter platforms often focus more on simpler campaign execution or narrower use cases.

Best suited for

Demandbase is usually a strong fit for mid-market to enterprise teams where ABM is already a core go-to-market approach rather than an experiment.

It tends to work best when:

• ABM programmes are already running in a structured way
• there is a clear definition of target accounts and tiers
• marketing and sales teams are aligned on account strategy
• there is operational support to manage tools and data

It is less suited to early-stage teams that are still building their ABM model or don’t yet have consistent account data.

Position in the ABM landscape

Within the broader ABM space, Demandbase is generally seen as a coordination and alignment platform. It helps bring together different parts of the ABM process rather than focusing on just one function.

Compared to other tools in the category, it is often chosen when the priority is organisation and control at account level, rather than just running campaigns or identifying intent.

2. 6sense

Overview

6sense is an ABM platform focused on helping teams understand which accounts are in-market and when they are likely to engage. In practice, it is often used to prioritise outreach and advertising based on buying intent signals rather than static account lists.

It is typically adopted by teams that want more visibility into which accounts are “warming up” before they enter active sales conversations.

Where it fits in ABM programmes

6sense is most commonly used when organisations want to move from reactive outreach to more predictive account prioritisation.

It is commonly used for:

• identifying accounts showing early buying interest
• prioritising outreach based on intent signals
• supporting account-based advertising and remarketing
• helping sales teams focus on accounts more likely to convert

It is often used in ABM programmes where the main challenge is not account selection itself, but knowing when to engage each account.

Strengths and practical trade-offs

6sense is strongest when teams want better timing and prioritisation in their ABM efforts. It helps reduce wasted effort by highlighting accounts that are more likely to be actively researching solutions.

In real-world use, it is valued for:

• surfacing accounts that are showing early-stage buying behaviour
• helping sales teams focus on higher-probability opportunities
• improving timing of outreach and follow-up activity
• supporting more targeted advertising to in-market accounts

In practice, it tends to work best when there is enough traffic and data volume to generate meaningful intent signals. Without sufficient scale, the signals can feel less actionable.

It also performs best when sales teams actively use the insights. If it is treated only as a marketing tool, some of its value is lost.

Compared to orchestration-heavy platforms, 6sense is more focused on identifying demand earlier rather than coordinating execution across every channel.

Best suited for

6sense is typically a strong fit for mid-market to enterprise organisations that want to improve timing and prioritisation in their ABM strategy.

It tends to work best when:

• there is already a defined ICP and target account list
• the organisation has enough traffic to generate reliable intent data
• sales teams are actively engaged in ABM processes
• there is a focus on pipeline efficiency and conversion rates

It is less effective in very early-stage ABM programmes where account lists and processes are still being defined.

Position in the ABM landscape

Within the ABM landscape, 6sense is generally positioned as a predictive intent and prioritisation platform. It focuses more on identifying when accounts are in-market rather than managing full campaign orchestration.

Compared to other tools in the category, it is often chosen when the priority is timing and opportunity identification, rather than end-to-end coordination or campaign execution.

3. Terminus (DemandScience)

4. RollWorks (AdRoll)

Overview

RollWorks is an ABM platform focused on helping teams identify target accounts and run advertising campaigns to engage them across the buying journey. In practice, it is often used as a more accessible entry point into ABM, particularly for teams that want to move beyond basic digital advertising into account-based targeting.

It is typically used by growth-stage and mid-market teams that need structured account targeting without the complexity of enterprise-level ABM platforms.

Where it fits in ABM programmes

RollWorks is most commonly used in early to scaling ABM programmes where the focus is on building awareness and generating engagement with defined account lists.

It is commonly used for:

• building and activating target account lists for advertising campaigns
• running display and social ads aimed at specific companies
• identifying website visitors and matching them to known accounts
• supporting early-stage ABM programmes transitioning from lead-based marketing

It usually sits between basic paid media tools and more advanced ABM orchestration platforms.

Strengths and practical trade-offs

RollWorks is strongest when teams need a relatively straightforward way to start running account-based campaigns without heavy operational overhead.

In real-world use, it is valued for:

• making account-based advertising more accessible to smaller teams
• helping identify and re-engage website visitors at account level
• supporting simple segmentation of target accounts for campaigns
• integrating ABM concepts into existing demand generation activity

In practice, it works well when teams are still building their ABM maturity and need practical execution rather than complex orchestration. It is less focused on deep intent modelling or advanced account intelligence compared to more enterprise-oriented platforms.

It also tends to be more effective when used as part of a broader marketing stack rather than a standalone ABM system.

Compared to more advanced ABM platforms, RollWorks is more about getting started with account-based advertising, rather than managing complex multi-layered ABM programmes.

Best suited for

RollWorks is typically a strong fit for small to mid-market teams that are early in their ABM journey or looking to scale from traditional demand generation into account-based marketing.

It tends to work best when:

• ABM is still being introduced or formalised within the organisation
• teams need a simple way to target and advertise to key accounts
• there is limited dedicated ABM or RevOps infrastructure
• the focus is on awareness and engagement rather than full orchestration

It is less suited to highly mature ABM programmes that require deep intent data, complex orchestration, or enterprise-level account governance.

Position in the ABM landscape

Within the ABM landscape, RollWorks is generally positioned as an entry-to-mid-level account-based advertising platform. It focuses on practical execution and accessibility rather than deep predictive insight or full-stack orchestration.

Compared to other tools in the category, it is often chosen when the priority is getting ABM campaigns running quickly and efficiently, rather than building a fully integrated ABM operating system.

5. HubSpot (Marketing Hub + ABM features)

6. LinkedIn Ads

Overview

LinkedIn Ads is a paid media platform that allows teams to target professionals and companies based on job role, industry, seniority, and organisation. In ABM programmes, it is often used as a core channel for reaching decision-makers within defined account lists.

It is typically used across almost all stages of ABM maturity because it provides one of the most direct ways to reach specific people inside target accounts.

Where it fits in ABM programmes

LinkedIn Ads is most commonly used as an activation channel within broader ABM strategies rather than a standalone ABM system.

It is commonly used for:

• targeting decision-makers within named accounts
• running awareness and nurture campaigns for key accounts
• reinforcing messaging alongside other ABM channels
• supporting sales outreach with coordinated advertising exposure

It usually sits in the execution layer of ABM, supporting account engagement rather than defining account strategy.

Strengths and practical trade-offs

LinkedIn Ads is strongest when the goal is to reach specific professionals within target accounts in a controlled and professional environment.

In real-world use, it is valued for:

• precise targeting by job title, company, and industry
• strong visibility among B2B decision-makers
• supporting consistent messaging across ABM campaigns
• working well alongside CRM and account-based targeting lists

In practice, it performs best when creative and messaging are tightly aligned with account strategy. Without clear segmentation or relevant messaging, it can quickly become expensive without meaningful engagement.

It also works best as part of a wider ABM mix rather than a standalone channel, since it does not provide account intelligence or orchestration on its own.

Compared to dedicated ABM platforms, LinkedIn Ads is more about reaching the right people inside accounts, rather than identifying intent or managing full account journeys.

Best suited for

LinkedIn Ads is a strong fit for organisations of almost all sizes running ABM programmes, from early-stage to enterprise.

It tends to work best when:

• there is a clearly defined ICP and target account list
• campaigns are focused on B2B decision-makers
• ABM is supported by sales outreach and CRM activity
• there is a need for scalable account-level reach

It is less effective when used without a defined account strategy or when treated purely as a broad performance marketing channel.

Position in the ABM landscape

Within the ABM landscape, LinkedIn Ads is generally positioned as a key activation and reach channel rather than a dedicated ABM platform.

Compared to other tools in the category, it is often chosen when the priority is consistent visibility and engagement within target accounts, rather than account intelligence, intent detection, or orchestration.

7. ZoomInfo

Overview

ZoomInfo is a B2B data and intelligence platform used to identify companies, contacts, and organisational structures. In ABM programmes, it is most often used as the foundation for building accurate target account lists and enriching CRM data.

It is typically used early in the ABM process, where the main challenge is not engagement, but knowing exactly who to target and how organisations are structured.

Where it fits in ABM programmes

ZoomInfo is most commonly used in the account selection and data enrichment stage of ABM programmes.

It is commonly used for:

• building and refining target account lists
• identifying key decision-makers within target organisations
• enriching CRM records with updated company and contact data
• supporting segmentation by industry, size, or structure

It usually sits at the data layer of ABM rather than the activation or orchestration layers.

Strengths and practical trade-offs

ZoomInfo is strongest when teams need reliable, structured data to support account targeting and segmentation.

In real-world use, it is valued for:

• helping teams quickly build large, structured account lists
• improving visibility into decision-makers within target organisations
• keeping CRM data more complete and up to date
• supporting consistent account segmentation across marketing and sales

In practice, it works best when used as a foundation for ABM programmes rather than a standalone execution tool. Its value depends heavily on how well the data is integrated into CRM and activation platforms.

However, data quality can vary by region or industry, and it still requires internal validation and ongoing maintenance to remain accurate.

Compared to engagement-focused ABM tools, ZoomInfo is more about knowing who to target, rather than managing how or when to engage those accounts.

Best suited for

ZoomInfo is typically a strong fit for mid-market to enterprise teams that need scalable and structured B2B data to support ABM programmes.

It tends to work best when:

• building or refining ICP and target account lists
• CRM data quality is a known challenge
• sales and marketing teams rely on shared account data
• ABM programmes require large-scale segmentation and targeting

It is less suited to teams looking for campaign execution or orchestration capabilities on its own.

Position in the ABM landscape

Within the ABM landscape, ZoomInfo is generally positioned as a foundational data and intelligence layer rather than an activation platform.

Compared to other tools in the category, it is often chosen when the priority is accurate account and contact data, rather than engagement tracking, intent detection, or campaign orchestration.

8. Bombora

Overview

Bombora is a B2B intent data platform that tracks topics and research behaviour across a network of business websites. In ABM programmes, it is most often used to understand which accounts are actively researching relevant topics before they engage with sales.

It is typically used as a supporting intelligence layer that helps prioritise accounts based on interest signals rather than firmographic data alone.

Where it fits in ABM programmes

Bombora is most commonly used in the account prioritisation and intent discovery stage of ABM programmes.

It is commonly used for:

• identifying accounts researching specific topics relevant to a solution
• prioritising outreach based on intent surges
• supporting sales teams with timing signals for engagement
• refining target account focus within broader ABM lists

It usually sits alongside CRM and ABM platforms rather than replacing them.

Strengths and practical trade-offs

Bombora is strongest when teams want to understand early-stage buying interest before accounts enter active sales conversations.

In real-world use, it is valued for:

• surfacing accounts showing increased research activity
• helping sales teams time outreach more effectively
• adding behavioural context to static account lists
• improving prioritisation within large ICP databases

In practice, it works best when combined with other ABM tools that handle activation and execution. On its own, it does not manage campaigns or account engagement directly.

Its effectiveness also depends on how well intent signals are interpreted and integrated into workflows. Without clear rules for action, intent data can become noisy or underused.

Compared to predictive ABM platforms, Bombora is more about understanding interest signals, rather than scoring or orchestrating full account journeys.

Best suited for

Bombora is typically a strong fit for mid-market to enterprise teams that already have structured ABM programmes and want to improve timing and prioritisation.

It tends to work best when:

• there is an established ICP and target account list
• sales teams are actively engaged in ABM processes
• intent signals are used to guide outreach timing
• it is integrated with CRM and activation platforms

It is less effective as a standalone solution for teams that do not already have ABM processes in place.

Position in the ABM landscape

Within the ABM landscape, Bombora is generally positioned as a third-party intent data provider rather than an orchestration or activation platform.

Compared to other tools in the category, it is often chosen when the priority is identifying early buying intent, rather than managing campaigns, running ads, or coordinating multi-channel ABM execution.

9. Salesforce (Account Engagement / Pardot ecosystem)

Overview

Salesforce is a CRM platform that often sits at the centre of ABM programmes, with Account Engagement (formerly Pardot) used to support marketing automation and account-level nurturing. In practice, it acts as the system of record where account data, engagement history, and sales activity come together.

It is typically used in organisations where ABM is closely tied to the wider revenue process, and where sales and marketing teams operate from a shared CRM foundation.

Where it fits in ABM programmes

Salesforce is most commonly used as the core infrastructure layer for ABM, rather than a standalone ABM tool.

It is commonly used for:

• managing and structuring target account data within CRM
• tracking engagement history across marketing and sales activity
• supporting account-based segmentation and reporting
• enabling marketing automation through Account Engagement (Pardot)

It usually sits underneath other ABM tools, acting as the central hub where account activity is recorded and measured.

Strengths and practical trade-offs

Salesforce is strongest when ABM programmes need a single source of truth for account and pipeline data.

In real-world use, it is valued for:

• centralising account and opportunity data across teams
• supporting alignment between marketing and sales activity
• enabling structured reporting on pipeline and revenue impact
• integrating with a wide range of ABM and marketing tools

In practice, its effectiveness depends heavily on how well it is configured. Out of the box, it is flexible but requires strong setup and ongoing management to support ABM properly.

It also tends to be most powerful when paired with dedicated ABM tools for intent, orchestration, or activation, rather than being used in isolation for ABM execution.

Compared to specialised ABM platforms, Salesforce is more about data structure and revenue visibility, rather than identifying intent or running multi-channel campaigns.

Best suited for

Salesforce is typically a strong fit for mid-market to enterprise organisations that already run structured sales processes and need ABM to integrate tightly with revenue operations.

It tends to work best when:

• Salesforce is already the primary CRM
• sales and marketing teams share account and pipeline data
• ABM is tied directly to revenue reporting and forecasting
• there is operational support for CRM management and configuration

It is less suited as a standalone ABM solution and works best as part of a wider ABM tech stack.

Position in the ABM landscape

Within the ABM landscape, Salesforce is generally positioned as the foundational CRM and data layer that supports ABM execution across other tools.

Compared to other platforms in the category, it is often chosen when the priority is accurate revenue and account data management, rather than intent detection, advertising execution, or orchestration.

10. Madison Logic

Choosing the right ABM stack is the real decision, not the tools themselves

Most ABM programmes don’t fail at the level of individual platforms. They break down when the stack doesn’t reflect how the business actually goes to market—when intent signals don’t reach sales at the right time, when account lists stay static, or when campaigns run without clear visibility into pipeline impact.

Each tool in this list plays a different role in that system. Some define which accounts to focus on, others help identify timing, and others handle engagement or coordination. The important distinction is not which platform is “best,” but which combination supports how ABM is actually executed inside the organisation.

In most cases, stronger results come from alignment rather than accumulation—fewer tools working well together tend to outperform larger stacks with unclear ownership and disconnected workflows.

For teams planning an ABM programme, refining an existing setup, or trying to make sense of underperforming activity, the next step is usually structural rather than tactical. That means mapping tools to roles in the funnel, identifying gaps in data or activation, and ensuring sales and marketing are working from the same account view.

For support in building or optimising an ABM strategy and tech stack, it’s worth speaking with Munro Agency. Get in touch today.