Is Factors.ai or Vector cheaper?

Factors.ai starts at $199 per month (Lite) (free trial). Vector starts at $399 per month (Reveal, 2,500 identified visitors) (14 days trial).

Factors.ai vs Vector

An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.

The short answer

Both sides assessed

Factors.ai compared with Vector

Both point identification at paid media, but differently. Vector is media-native, with Ad Reveal naming your ad clickers and contact-level audiences syncing to LinkedIn, Google, Meta, and Reddit from $399 a month month-to-month. Factors wraps ad orchestration inside a broader ABM and attribution platform with G2 and Bombora intent and CAPI feedback. Pick Vector if you want better ad targeting without a platform commitment; pick Factors if attribution and account intelligence need to sit under the media.

Vector compared with Factors.ai

Factors.ai covers similar ground from the analytics side: account identification plus multi-touch attribution plus LinkedIn and Google AdPilot, self-serve from $199 a month on the Lite plan with the serious tiers starting at $6,000 a year. Vector is narrower and more media-native, with Ad Reveal and contact-level audience syncing as the core. Pick Factors if you need attribution reporting a CMO will present; pick Vector if you need the ads themselves to target better.

Choose Factors.ai if

B2B marketing teams that run meaningful paid media and need identification, intent, ad orchestration, and attribution to agree with each other, and growth-stage companies willing to start on the $199 Lite plan and grow into a real ABM platform rather than assembling four point solutions.

Choose Vector if

US-focused B2B marketing teams for whom paid media is a primary channel, especially those already running LinkedIn and Google ads at meaningful spend who want to know who clicked, retarget identified people rather than lookalike guesses, and stop uploading static contact lists by hand.

Side by side

13 attributes

Attribute	Factors.ai	Vector
Category	Visitor ID	Visitor ID
Starting price	$199 per month (Lite) (free trial)	$399 per month (Reveal, 2,500 identified visitors) (14 days trial)
Pricing model	A self-serve entry plan priced monthly, then annual contracts priced on monthly tracked users, identified companies per month, and seats, with the upper tiers demo-gated.	Two products with different commercial models: Reveal is a self-serve month-to-month subscription priced on identified visitors per month, and Target is an annual commitment priced on the number of active audiences.
Free plan	No	No
Free trial	Free trial on Lite with no credit card required and a stated two-minute setup	14 days on Reveal
Best for	B2B marketing teams that run meaningful paid media and need identification, intent, ad orchestration, and attribution to agree with each other, and growth-stage companies willing to start on the $199 Lite plan and grow into a real ABM platform rather than assembling four point solutions.	US-focused B2B marketing teams for whom paid media is a primary channel, especially those already running LinkedIn and Google ads at meaningful spend who want to know who clicked, retarget identified people rather than lookalike guesses, and stop uploading static contact lists by hand.
Setup time	The Lite plan claims roughly two minutes to install and start identifying, which is fair for the tracking script alone. The platform proper is a different matter: connecting CRM, ad accounts, product data, and G2, then building account lists, scoring models, and AdPilot audiences, is a multi-week project.	Roughly an hour for the Reveal plan: install the script, authorise the ad accounts and CRM you want synced, and connect Slack. Audience configuration is the part that takes thought, because a badly defined audience wastes media budget faster than it wastes anything else.
Learning curve	High relative to the rest of this category, and appropriately so. Factors assumes you understand ABM, multi-touch attribution, and B2B media buying. A team without a marketing operations capability will not extract the value that justifies the upper tiers, and should stay on Lite for identification only.	Moderate, and higher than the simpler tools in this category. Vector assumes you understand matched audiences, retargeting mechanics, and B2B media buying. A team without a paid media practitioner will struggle to extract the value that justifies the price.
Platforms	JavaScript tracking script for any website, Web application, Slack alerts, MCP connector for ChatGPT and Claude	JavaScript script for any website, Web dashboard, Slack app, MCP server
Compliance	SOC 2 Type II certified, GDPR compliant, CCPA compliant, PECR compliant	Vendor states privacy-safe data sourcing limited to business contacts and compliant traffic sources, Regional and consent-based requirements respected, with coverage consequently US-weighted, Detailed certification and audit information is not published on the marketing site
Founded	2020	2022
Headquarters	Wilmington, Delaware, United States, with engineering operations in Bangalore, India	United States
Ownership	Venture-backed	Venture-backed

Strengths and limitations

Factors.ai

Strengths

The highest published identification coverage in the category, achieved through a genuine mechanism: a waterfall across four to five providers rather than dependence on one identity graph.
It does both company-level identification and US person-level de-anonymization in one platform, which almost nothing else here manages credibly.
LinkedIn AdPilot's account-level frequency capping is a real B2B media control that stops a handful of large accounts consuming an entire budget.
Google CAPI conversion feedback teaches the bidding algorithm what a pipeline-relevant account looks like, which is a materially better use of ad data than a conversion pixel.

Limitations

The pricing jump from $199 a month to $6,000 a year is abrupt, with nothing in between and no self-serve path above Lite.
The capabilities the platform is marketed on (predictive scoring, advanced ABM analytics, multi-channel ad synchronisation, enhanced attribution) start at the $20,000 Growth tier.
The up to 75 percent identification claim is vendor-measured against a vendor-defined baseline, and a waterfall's cost and accuracy both depend on which providers fire, which is not disclosed.
No EU data residency commitment is published, so European buyers with strict residency requirements should look at Snitcher, Leadfeeder, or Leadinfo instead despite the GDPR compliance statement.

Vector

Strengths

Ad Reveal is a genuinely differentiated feature: naming the people who clicked your ads and did not convert closes the most expensive blind spot in B2B paid media.
Automatic audience syncing into LinkedIn, Google, Meta, Reddit, and YouTube removes the quarterly ritual of exporting spreadsheets and uploading stale matched audiences.
Month-to-month billing on the entire self-serve Reveal ladder, in a category that has been drifting toward annual-only contracts.
Billing is on identified visitors rather than total traffic, so a poor match rate costs you less as well as delivering less.

Limitations

Coverage is heavily US-biased because of GDPR constraints in Europe, so a European or UK-heavy site will see a much thinner match rate than the marketing implies.
The published 45 percent match rate example sits well above the 15 to 30 percent contact-level coverage that independent reviews describe, so the headline figure should be treated as a best case rather than an expectation.
The flagship capability, signal-driven audiences that refresh themselves, sits on the Target plan at $3,000 a month with an annual commitment and a mandatory demo, which puts it outside small-business reach.
Entry pricing at $399 a month is high for a business without paid media spend, and the tool's value collapses without it.

Pricing compared

Factors.ai

A self-serve entry plan priced monthly, then annual contracts priced on monthly tracked users, identified companies per month, and seats, with the upper tiers demo-gated.

Lite$199
Basic$6,000
Growth$20,000
EnterpriseFrom $30,000

Judged on the Lite plan alone, $199 a month for waterfall identification claiming up to 75 percent account coverage plus up to 40 percent US person-level de-anonymization is strong value, and it is the reason Factors belongs on a small-business list at all. Judged as the platform the marketing describes, this is a $20,000-a-year purchase and should be compared against 6sense and Demandbase rather than against Snitcher and Leadfeeder, where it looks competitively priced and considerably more modern. What it is not is a graceful ladder. There is nothing between $2,400 a year and $6,000 a year, and the capabilities most people want begin at $20,000. Start on Lite for the identification, but do not plan a budget assuming the rest of the platform arrives incrementally, because it does not.

Vector

Two products with different commercial models: Reveal is a self-serve month-to-month subscription priced on identified visitors per month, and Target is an annual commitment priced on the number of active audiences.

Reveal 2,500$399
Reveal 5,000$599
Reveal 7,500$799
Reveal 10,000$999
TargetFrom $3,000

Vector is expensive per identified visitor next to RB2B or Snitcher, and that comparison is the wrong one. What you are buying at $399 a month is not the identity, it is Ad Reveal plus automated audience activation across LinkedIn, Google, Meta, and Reddit, which nothing else in this price bracket does. For a team spending five figures a month on B2B paid media, knowing who clicked and being able to retarget those exact people is worth considerably more than $399, and the month-to-month billing lowers the risk of finding out. For a team spending nothing on ads, almost none of that value applies and the price is indefensible. The value question here is not about the tool, it is about whether you buy attention.

Editorial verdict on each

Factors.ai

Factors.ai is the most capable product in this category and the one whose pricing most rewards reading carefully. The identification layer is legitimately best-in-class: a waterfall across four to five providers producing up to 75 percent account coverage plus up to 40 percent US person-level de-anonymization is a stronger technical answer than any single-graph competitor gives, and at $199 a month on Lite it is available self-serve to a small business. Everything above it (G2 and Bombora intent, LinkedIn AdPilot with account-level frequency capping, Google CAPI feedback, multi-touch attribution, the Scout agent and MCP connector) is a genuine ABM platform that should be compared with 6sense and Demandbase, where it looks modern and well priced. But the ladder has no middle: $199 a month jumps to $6,000 a year, and the flagship capabilities begin at $20,000. Buy Lite if you want excellent identification cheaply. Buy Growth if you have the paid media spend and the marketing operations capability to use ad orchestration and attribution properly. Do not buy in between expecting the platform to arrive gradually, and if EU data residency is a requirement, look at Leadfeeder, Snitcher, or Leadinfo instead.

Read the full Factors.ai profile

Vector

Vector is the visitor identification tool for teams that answer intent with media rather than with people. Ad Reveal is the standout: naming the buyers who clicked an expensive LinkedIn ad and quietly left is something nothing else at this price does, and automated audience syncing kills the stale-spreadsheet ritual that makes most B2B matched audiences useless. At $399 a month month-to-month with a 14-day trial, the entry product is a defensible small-business purchase if you already spend meaningfully on ads. It is also US-weighted to the point of being the wrong tool for a European site, its published match rate looks optimistic against independent estimates, its privacy documentation is thinner than competitors', and the signal-driven audience capability that the marketing leads with lives on a $3,000-a-month annual plan behind a demo. Buy the Reveal tier if paid media is your channel and your buyers are American. If you do not run ads, almost none of this applies and you should be reading the RB2B or Snitcher profile instead.

Read the full Vector profile

Factors.ai profile last reviewed 2026-08-22; Vector last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.