Delivr.ai vs. Factors.ai: Person-Level Identity vs. Account Attribution

Factors.ai combines website visitor identification, account-level intent, and multi-touch attribution, layering signals like LinkedIn ad engagement and G2 activity onto anonymous traffic. It is a capable analytics-and-attribution platform. Delivr.ai is built on a different primitive: deterministic person-level identity, and the intent that rides on top of it.

What Factors.ai Does Well

Factors’ strength is attribution and account intelligence in one place — mapping anonymous traffic to companies, stitching multi-channel touchpoints, and layering third-party signals into a single view. For teams whose core need is cross-channel attribution and account scoring, it consolidates several tools.

Where the Gap Is

Factors resolves and reports at the account level. It maps anonymous traffic to company profiles and estimates which accounts are active — but it does not hand you the specific individual, by name, whose behavior has changed. Attribution explains what already happened; it does not identify the net-new person to reach next.

Delivr.ai identifies the actual person deterministically, with no fingerprinting, and scores each individual against their own baseline across 52,000+ topics — on-domain and off-domain. Instead of “Acme is in-market,” you get “this VP has accelerated research 4x this week and is comparing three vendors.”

Attribution vs. Identity

Factors.ai tells you where credit belongs. Delivr.ai tells you who to call — and activates them through a built-in DSP. The two can coexist, but teams that need person-level identity and open-web intent, not just account attribution, reach for Delivr.ai as the alternative.