Revenue Marketing Platforms For B2B

The market this category scores was born from a collision: marketing automation platforms and account-based marketing platforms spent years converging on the same customer, and Forrester's scorecard now grades the merged result. The newest edition, The Forrester Wave: Revenue Marketing Platforms For B2B, Q1 2026, published in January 2026, and its Leader wins on the merge itself.

The report under the name: The Forrester Wave: Revenue Marketing Platforms For B2B, Q1 2026

Principal analyst Kelvin Gee framed the category in July 2024 as a collision course: the proliferation of data and the shift toward buying groups pushed marketing automation and account-based marketing onto "a collision course," both competing to become the core B2B engagement platform.

The Q1 2026 Wave continues that frame and scores the merged market on the capabilities the collision produced. Gee's three foundational capabilities are the criteria in plain language. Data management, unification, and identity resolution, integrating first-, second-, and third-party data at contact, account, and buying group levels. Omni-channel orchestration across email, social, chat, advertising, and offline. And buying group capabilities, identifying, assembling, targeting, and measuring the group of people who actually make the purchase decision.

The prior edition, Q3 2024, scored twelve providers on twenty three criteria. The Q1 2026 edition is the market's second scorecard under the converged definition.

The Q3 2024 edition's criteria list is the convergence made measurable: data management, omni-channel orchestration, buying group support, integration flexibility, and full customer lifecycle support. Gee's outlook question from that era was whether any single platform could serve as "the cornerstone of modern B2B marketing strategies," and the Q1 2026 edition is the first attempt to answer it with two years of market evidence behind the question.

The Leader with the unified workflows

6sense announced its Leader placement on January 29, 2026, with Forrester's verdict that "6sense's offering is among the most complete in this evaluation, highlighted by its Intelligent Workflows, which unifies data, signals, and orchestration within an adaptive, AI-driven canvas."

The placement carries the highest possible scores in fourteen criteria, including data, anonymous audience segmentation, adaptive workflow journey orchestration, and full customer lifecycle support. The fit verdict: "best fits B2B enterprises seeking a data-rich, AI-powered platform to unify marketing and sales engagement."

The citation's keywords are the category's thesis. Data, signals, orchestration, unified. The platform that merged the most of the collision's output is the platform on top, and the scorecard's criteria are the merge's job description.

What the convergence actually merged

Gee's collision-course framing deserves to be walked through, because it explains why this category exists at all. Marketing automation platforms owned the email journeys and lead scoring. Account-based marketing platforms owned the account lists and the targeted advertising. Both needed the same thing: a unified view of the buying group across channels.

The data proliferation made the merge inevitable. When the same account is reachable through intent signals, website behavior, ads, email, and sales outreach, the platform that holds the unified record decides who gets messaged, when, and through which channel. The scorecard grades how completely each vendor built that unified record, and the buying group criteria, assembling and measuring the actual decision-makers, are the category's newest and hardest scoring columns.

The buying group economics are why the column is hard. Gee's framing is that role-relevant content delivered to each member of the buying group can shorten sales cycles and lift conversion rates, but the platform must first identify who is in the group, which members are anonymous, and which signals indicate each member's stage. That identification problem, anonymous visitors resolved into accounts and roles, is the technical frontier of the category, and the Leader's anonymous audience segmentation maximum score is the market's clearest admission of where the frontier sits.

The honest limits of a converged scorecard

One Leader placement is publicly confirmed from the Q1 2026 edition, and the rest of the field's placements have not surfaced. This article names what the record supports and nothing beyond it.

There is also the definitional drift to watch. The category absorbed marketing automation and account-based marketing, and now its platforms reach toward sales engagement, revenue intelligence, and orchestration, the adjacent categories with their own scorecards. The same purchase can be argued into several categories depending on who is selling, and the converged scorecard is a snapshot of a boundary still moving.

The practical consequence is that the buyer's stack map matters more than the tier column. A revenue marketing platform, a revenue enablement platform, and a sales engagement platform overlap at the edges, and an enterprise that buys one from each category is paying for the overlap three times. The scorecard grades this category honestly. It cannot grade the portfolio the buyer assembles across categories, which is where the actual waste accumulates.

Three questions for the converged buyer

Which half of the collision is your priority: the journeys or the accounts? Marketing automation and ABM merged, but buyers' problems did not merge evenly. A lead-nurturing organization and an account-targeting organization are buying different halves of the same platform, and the tier column averages what your procurement must not.

Can the platform see your buying group, or just your contacts? The buying group criteria are the hardest columns. Ask for the group assembly and measurement demonstrated on your actual accounts, because contact-level personalization is table stakes and group-level orchestration is the differentiator.

Where does the data end when the contract does? Data unification is the category's promise, which makes data portability its risk. Get the export contract, the model access, and the signal history in writing before you unify everything into one platform. The platform that unified your data is also the platform you must be able to leave, and the two requirements pull in opposite directions.

Forrester does not endorse any vendor named here, and tier placement should not be read as a recommendation to buy.

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