Best Account Based Marketing Software

Influ2 is a contact-level account-based marketing platform, targeting advertising at named individuals within an account rather than at the account as a whole, with contact-level intent, buyer journeys, a cohort builder and revenue reporting.

Contact-level targeting is a genuine step beyond conventional account-based advertising and it fixes a real measurement problem. Account-level targeting shows ads to anyone at a company's IP range or matched domain, which means the receptionist and the chief technology officer see the same campaign and neither can be told apart in the reporting. Targeting named people means a seller can know that their specific champion saw a specific message, which turns advertising from a broadcast into something a salesperson can actually reference.

Contact-level intent follows from the same idea. Knowing that an account is researching is useful; knowing which three people in it are researching, and what each looked at, is what lets a seller decide who to contact and about what. Buyer journeys track that progression per person rather than per company.

The cohort builder assembles target groups and the signals centre consolidates what is being detected, with revenue reporting closing the loop back to pipeline. Revenue attribution is where account-based advertising has historically been weakest, because tying an impression to a deal months later is genuinely difficult, and person-level targeting makes it more tractable since the individual is identifiable throughout. Influ2 integrations connect to the wider revenue stack. Pricing is not published.

ZoomInfo is a go-to-market platform that gives sales, marketing, and recruiting teams access to business contact data, company profiles, and buying signals. Founded in 2007 and headquartered in Vancouver, Washington, it reports a database of hundreds of millions of contacts and companies built from public records, a contributory network, and ongoing verification. The platform spans product lines including SalesOS, MarketingOS, TalentOS, and OperationsOS, plus an AI layer called Copilot.

Teams use ZoomInfo to build prospect lists, track intent signals such as hiring changes and executive moves, enrich CRM records, and automate outreach through integrations with Salesforce, HubSpot, Outreach, and Salesloft. Pricing is quote based rather than published, with contracts typically billed annually, though a free ZoomInfo Lite tier offers limited monthly credits for smaller-scale use.

Metadata.io is an execution layer for business-to-business paid campaigns, building audiences, campaigns, creative and offers across every paid channel from a single platform, with the marketing team reviewing budget, approvals, channel structure and pipeline evidence before anything goes live.

Being an execution layer rather than a planning tool is the specific claim. Account-based programmes usually fail at execution rather than strategy: the target account list is agreed, the messaging is written, and then someone has to build matching audiences in LinkedIn, Google and Meta by hand, keep them synchronised as the account list changes, and reconcile spend across platforms that each report differently. Running all of it from one engine removes that manual work and the drift it causes.

The approval gate is a deliberate design decision worth noting in an era of autonomous marketing tools. Budget, channel structure and pipeline evidence are reviewed by people before a campaign launches, which is the right arrangement when the system is authorised to spend money. Metadata.io reports having handled more than a billion dollars in demand creation spend across a decade.

Headless control is the newer capability and it is unusually concrete. A technical team can connect Claude Code, a custom agent or any Model Context Protocol client to the platform's MCP server and drive audiences, campaigns, creative, budgets, experiments, analytics and approvals through 141 published tools without touching the interface, with developer documentation supporting it. A 500 million profile graph backs audience building, spanning LinkedIn, Google, Meta, video and large language model channels. Rates are not published on the site.

Demandbase is an account-based platform organised around what it calls a pipeline engine for AI go-to-market, spanning marketing, advertising, sales and data, with buying groups rather than individual leads as the unit of measurement.

Buying groups appearing throughout the product is the most substantive distinction and it reflects how B2B purchases actually happen. A significant software purchase involves a champion, an economic buyer, a technical evaluator, procurement and often security and legal, and treating each as an independent lead produces nonsense: five people from one company scored separately, five sequences running in parallel, and no view of whether the account as a whole is progressing. Demandbase models the group.

The data pillar unifies account, buying group and signal data, which is the necessary foundation. An account record from a CRM, intent signals from the web, and the individuals who make up a buying committee arrive from different places and mean nothing until they are resolved together. Everything the platform does downstream depends on that resolution being right.

Aligning teams to turn goals into revenue is the organising promise, and Demandbase AI prioritises accounts and improves performance against pipeline goals. Marketing identifies accounts, activates programmes and measures what drives pipeline; advertising engages the right accounts with targeted programmes; and sales focuses sellers on the right accounts and buying groups. That last framing matters because a seller's scarcest resource is attention, and telling them which accounts to ignore is as valuable as telling them which to work. Pricing is not published.

Madison Logic is an account based marketing platform covering ABM content syndication, connected television, display advertising, audio advertising and social advertising with LinkedIn Ads, plus ML Insights for prioritising in-market accounts with AI-powered intent data, stating over 500 leading brands and more than 415 million decision-makers reached.

Reaching entire buying committees rather than individual leads is the framing that separates account based marketing from demand generation, and it reflects how enterprise software is actually purchased. A significant contract involves six to ten people across functions, so persuading one enthusiastic champion is insufficient and the rest of the committee has to encounter the vendor independently.

Intent data is the mechanism that makes the targeting affordable, since running connected television and display against every company in a market would be ruinous, and prioritising the accounts already researching the category concentrates the spend where it can convert.

Content syndication sitting alongside advertising channels is the practical difference from a pure advertising platform, because syndication delivers a named contact who requested a specific asset rather than an impression, and for enterprise sales that named contact is what a pipeline is built from. Madison Logic cites 32 percent lift in engagement, 17 percent increase in pipeline and 28 percent faster pipeline velocity. Rates are not published.

6sense is an account-based orchestration platform built on intent data and predictive modelling, identifying which accounts are in a buying cycle before they identify themselves, and orchestrating advertising, sales outreach and marketing against that signal.

The premise is that the great majority of a buying process happens before a vendor hears from anyone. A buying committee researches, reads, compares and shortlists for months, and by the time a form is filled in the decision is largely formed. Intent data attempts to detect that activity in progress, so a seller can engage while influence is still possible rather than arriving to a decision already made.

Predictive modelling is what makes that usable rather than overwhelming. Raw intent signal is noisy: a researcher, a competitor and a student all read the same content, and a company appearing to research a category may be doing so for many reasons. Models that score which accounts are genuinely in-market, and where in the journey they are, turn a firehose into a prioritised list a sales team can actually work.

Orchestration is the part that separates this category from data vendors. Knowing an account is in-market only helps if advertising, sales sequences and marketing programmes all respond to it coherently, since an account receiving unrelated messages from three teams is worse served than one receiving none. 6sense is among the established platforms in this market. Pricing is not published and is quoted on account universe size and the modules licensed.