Account-Based Attribution (ABA)
Account-based attribution is a measurement approach that tracks and credits marketing touch points at the company (account) level rather than the individual lead level, reflecting how B2B deals usually involve multiple stakeholders engaging separately.
Why it matters
A typical B2B SaaS deal isn't one person's decision. A technical evaluator, a budget owner, and an end user from the same company might each engage with different content at different times, and lead-level tracking treats them as three unrelated contacts instead of one deal in progress.
Rolling engagement up to the account level shows marketing and sales whether an account as a whole is warming up, even if no single lead within it looks highly engaged on their own. This is especially relevant alongside Account Intent Data, which signals which accounts are actively in-market before individual contacts even reach out.
Connecting website visits, email engagement, and ad clicks back to the correct account and not just an anonymous lead record usually requires syncing marketing data with a CRM. Analytics platforms that connect to CRM systems like Neo build this account-level view automatically rather than requiring manual matching between marketing and sales records.
Example
An enterprise software company saw three separate contacts from the same enterprise account engage with different content over a month. Account-based attribution flagged the account as sales-ready earlier than any single contact’s activity would have, prompting outreach two weeks sooner.