Factors.ai Alternatives: 2026 Comparison
What Factors.ai identifies (accounts globally, contacts US-only), what its four tiers cost, why it publishes two identification rates, and alternatives.
Factors.ai identifies which companies visit your website, connects that to your ad spend through multi-touch attribution, and pushes account lists to LinkedIn, Meta and Google Ads. Contact-level identification is US-only and runs through an RB2B integration. It is an account intelligence and measurement platform, and it is priced and shaped like one.
If you're comparing Factors against RB2B or Warmly you're comparing across categories. Factors' centre of gravity is measurement — attribution models, LinkedIn ad reporting, account timelines — with identification feeding it. That distinction decides whether it's the right tool for you.
I'm Dag, co-founder of ContactLevel. We don't do attribution or visitor identification, so this isn't a displacement page. It's the comparison I'd want if I were shortlisting.
What Factors.ai is
Definition: Factors.ai is a B2B account intelligence and marketing analytics platform. A script resolves anonymous website traffic to companies using a waterfall of data sources, builds an account timeline of pages viewed, ads seen and content consumed, and attributes pipeline back to campaigns through first-touch, last-touch and influenced models. It syncs prioritised account lists to LinkedIn, Meta and Google Ads as matched audiences, and its AdPilot products report on those campaigns.
Factors publishes its infrastructure scale in its help centre: 48M companies tracked across 200 countries, and 4.7B IPs mapped and tracked. Worth knowing what sits underneath that. The same help-centre FAQ says plainly, "We are an OEM partner of 6sense" — and a Factors comparison page names the rest of the waterfall, describing Snitcher, Demandbase, Clearbit and Bombora as additional coverage layered on top of the 6sense data. Sources: help-centre de-anonymisation FAQ and Factors.ai on 6sense, both checked live 29 July 2026. Factors is licensing identification data rather than running its own identity graph. It states it is GDPR- and SOC 2 Type II-compliant, using first-party cookies and IP-to-company matching.
What identification rate should you expect from Factors?
Factors publishes two different figures on two of its own pages. Neither is wrong — they're measuring the same thing under different conditions — but you should budget against the lower one.
| Where Factors publishes it | The figure | What it's measuring |
|---|---|---|
| Website visitor identification product page | "up to 75%" | Account-level, best case, waterfall of four sources |
| Help centre de-anonymisation FAQ | "between 50-65% with a very high level of accuracy" | Account-level global average, varies by market, vertical and company size |
| Product page, contact-level | "up to 40% of the US visitors via RB2B integration" | Person-level, US traffic only |
All checked live on 29 July 2026.
Read together they're consistent: "up to 75%" is the ceiling, 50-65% is the average, and the person-level layer is a US-only add-on running on someone else's identity graph. The number to plan with is the 50-65% one, and only if your traffic is office-heavy.
There's one more wrinkle worth knowing before a demo. The Factors help-centre FAQ is blunt about what can be returned for a visitor who never fills in a form: "No. It is not possible to provide (at least with the current GDPR or other data compliance laws) to provide the email IDs or phone nos of website visitors that do not fill out a form." The product page's US contact-level claim and that FAQ describe different scopes. Ask Factors directly which applies to your traffic rather than assuming the more generous one.
While we're on definitions: ContactLevel publishes 70-99%, and it measures something else entirely — the share of a known contact list that matches to a real user account on an ad platform after enrichment. It's not a website resolution rate. Three different measurements in this category share the name "match rate"; the B2B match rates guide separates them.
What is Factors.ai genuinely good at?
Attribution that a CMO can defend. First touch, last touch and influenced models, with the data landing in the CRM. Most teams in this category can tell you who visited and nothing about whether the spend worked. Factors is built the other way round.
LinkedIn ad measurement. Connecting LinkedIn impressions and clicks to account behaviour and then to pipeline is a genuinely hard reporting problem, and it's the thing Factors is best known for. The LinkedIn ads cost guide covers why that measurement matters at LinkedIn's CPMs.
Real self-serve entry. A free trial with no credit card and a $199/month Lite tier is unusual for a product whose next step up is $6,000/year. You can evaluate it properly before a sales conversation.
Waterfall identification instead of a single source. Four data sources instead of one is why the account-level ceiling is higher than most single-source competitors.
Where does Factors.ai stop?
Person-level is borrowed, US-only, and capped
Contact-level identification runs "via RB2B integration" at up to 40% of US visitors. If naming individuals is your core requirement, you're paying Factors' price for RB2B's coverage — and RB2B sells directly from $79/month. That's not a criticism of Factors so much as a reason to check whether you need the wrapper.
Account lists are not buying groups
Syncing an account list to LinkedIn or Meta reaches everyone at those companies who matches the platform's own targeting filters. That's the account-level ABM motion, and it's what most of this category does. It is not the same as putting an ad in front of the six named people who actually decide. The buying group marketing guide covers the difference and why it changes cost per meeting.
Three ad platforms, not five
LinkedIn, Meta and Google Ads — its Google AdPilot page covers search, GDN and YouTube. No Reddit, no X. That's a narrower constraint than it used to be, and it still matters if your B2B mix runs beyond the obvious three. The bigger limit is the shape of what gets synced: these are account lists, not named people.
The price ladder is steep
$199/month to $6,000/year is a 2.5× jump, and $6,000 to $20,000 is another 3.3×. Volume tiers are driven by monthly tracked users and identified companies, so a traffic increase can move you a tier before your pipeline does.
Vendor matrix
Every price is the vendor's own published figure, checked live on 29 July 2026.
| Vendor | Identification level | Ad activation | Entry price (Jul 2026) | Self-serve | Best for |
|---|---|---|---|---|---|
| Factors.ai | Account-level global; contact-level US only via RB2B integration | LinkedIn, Meta, Google account lists | $199/mo Lite; $6,000/yr Basic | Yes, free trial | Identification plus attribution |
| Leadfeeder | Company-level only, up to 45% of traffic | IP-targeted programmatic display | Free Lite; €79/mo Discover billed annually | Yes, 14-day trial | EU pipelines needing GDPR-safe company signal |
| RB2B | Person-level (US) + company-level | None — Slack, Teams, CRM, Clay | Free; $79/mo Starter, $199 Pro+ | Yes | Cheap named alerts into Slack |
| Warmly | Person + company-level | AI chat, email, LinkedIn, Meta | $10,000/yr, or $4,875/quarter | No, sales-led | Inbound orchestration in one platform |
| Vector | Person-level website visitors | Contact-level ads, LinkedIn-strong | Reveal from $399/mo; Target from $3,000/mo | Reveal only | One vendor for ID and contact-level ads |
| ContactLevel | People already in your list or ad audience — not net-new visitors | LinkedIn, Meta, Google, Reddit, X | $1,000/mo for 10,000 contacts; $3,000/qtr for 50,000 | Yes, 14-day trial | Turning known contacts into ad audiences |
Sources: factors.ai/pricing, leadfeeder.com/pricing, rb2b.com/pricing, warmly.ai/pricing, vector.co/pricing, ContactLevel pricing. Full cross-vendor version on the alternatives hub.
How do Factors and an activation layer fit together?
Factors answers two questions well: which accounts are engaged, and which campaigns produced pipeline. It doesn't answer a third: who at those accounts sees the next ad.
1. Take the prioritised account list out of Factors. You already have engagement scoring and page-level behaviour. Use it.
2. Build the buying group per account. An economic buyer, a practitioner, and whatever security or procurement gate exists. This is the step that turns an account into people.
3. Enrich for the ad platforms, not the CRM. Your list holds work emails. Nobody signs up to Meta with their work email. A raw CSV of business emails typically matches 20-50% on ad platforms. ContactLevel maps each business identity to the personal identifiers the platforms actually match on — around 50-70 data points per contact against the 1-3 in a typical export — and match rates land at 70-99%.
4. Sync to five platforms and keep Factors measuring. Push to LinkedIn, Meta, Google, Reddit or X and work the audiences inside the native ad managers. Factors keeps doing the attribution. See contact-level advertising.
The two products barely overlap, which makes this an unusually clean pairing: measurement on one side, precision reach on the other.
The honest boundary
ContactLevel is not a Factors.ai replacement, and the gap is wider than usual.
→ We do no multi-touch attribution, no marketing analytics, no account timelines. → We do not identify anonymous website traffic — not at account level, not at person level. → We do not do intent scoring or account prioritisation. That's 6sense, Demandbase, or Factors itself. → We track ad clicks and website visits resolved to the individual contact. Person-level impression tracking is on the roadmap and is not in the product today; what we track states the current position precisely.
What we do is take a list of people and make them reachable as ad audiences on five platforms at 70-99% match rates. If your question is "did the spend work," Factors answers it and we don't. If your question is "how do I get this specific person to see the ad," that's us.
If you're genuinely replacing Factors.ai
→ Leadfeeder — company-level identification with EU data residency, a genuinely free tier, and self-serve pricing from €79/month billed annually. No attribution layer. See the Leadfeeder comparison.
→ RB2B — if the contact-level layer was the point, buy it directly. Free tier, then $79-$199/month, US person-level only. See the RB2B comparison.
→ Warmly — person-level identification plus AI chat, email and ads. $10,000/year and up, sales-led, with published production match rates. See the Warmly comparison.
→ Vector — person-level visitor ID plus contact-level ads in one product. Reveal from $399/month; Target from $3,000/month annual. See the Vector comparison.
→ 6sense — if what you actually want is account scoring and orchestration at enterprise scale rather than identification. Pricing isn't published; it's sales-led. See the 6sense comparison.
One gap none of them closes: every tool here only measures or identifies people who already found you. For person-level intent on buyers outside your traffic, Buyerfeeds — ContactLevel's sister product — turns a topic search into a feed of the named people researching it. More in the contact-level intent data guide.
Factors.ai vs ContactLevel at a glance
| Factors.ai | ContactLevel | |
|---|---|---|
| Core job | Identify accounts → attribute pipeline to campaigns | Enrich known contacts → sync to 5 ad platforms |
| Identification level | Account global; contact US-only via RB2B | n/a — not a resolution tool |
| Anonymous net-new traffic | Yes, account-level | No |
| Attribution / analytics | Yes — first touch, last touch, influenced | No |
| Ad platforms | LinkedIn, Meta, Google (account lists) | LinkedIn, Meta, Google, Reddit, X (named people) |
| Ad-platform match rate | Not published | 70-99% after enrichment |
| Entry pricing | $199/mo Lite; $6,000/yr Basic | $1,000/mo, or $3,000/quarter |
| Self-serve | Yes, free trial no card | Yes, 14-day trial, 10,000 contacts |
| Best for | Proving what worked | Deciding who sees the next ad |
Frequently asked questions
How much does Factors.ai cost?
As of 29 July 2026: Lite at $199/month after a free no-credit-card trial; Basic $6,000/year (10,000 monthly tracked users, 3,000 companies/month, 5 seats); Growth $20,000/year (50,000 MTUs, 8,000 companies/month, 10 seats); Enterprise from $30,000/year (100,000 MTUs, custom company volume, 25 seats).
Does Factors.ai identify individual people?
Only in the US, and through a partner: "Factors.ai identifies website visitors at both the account and individual contact levels (US traffic only)," at "up to 40% of the US visitors via RB2B integration." A Factors help-centre FAQ takes a stricter line on what can be returned for form-less visitors, so confirm current scope with Factors.
What is Factors.ai's identification rate?
Two published figures: "up to 75%" account-level on the product page, and "between 50-65%" as a global average in the help centre. Both are account-level. Plan against the lower one.
Is Factors.ai an analytics tool or a visitor identification tool?
Both, and the analytics half is why most teams buy it. Multi-touch attribution plus LinkedIn, Meta and Google ad reporting, with identification feeding it.
What is the best Factors.ai alternative?
Leadfeeder for company-level with EU data residency, from €79/month. RB2B for US person-level names, from $79/month. Warmly for person-level plus engagement. A dedicated analytics stack if you only want attribution.
Does Factors.ai run ads?
It syncs account lists to LinkedIn, Meta and Google Ads as matched audiences and reports on the campaigns — the Google AdPilot page covers search, GDN and YouTube. It doesn't enrich individual contacts for person-level matching, and it doesn't cover Reddit or X.
Is ContactLevel a Factors.ai alternative?
No. ContactLevel does no attribution, no analytics and no anonymous visitor identification. It makes known people reachable as ad audiences at 70-99% match rates across five platforms.
Can I use Factors.ai and ContactLevel together?
Yes — the overlap is small. Factors identifies accounts and measures campaigns. ContactLevel takes the buying group at those accounts and puts ads in front of the specific people.
Try the pairing
Factors tells you the campaign worked. It doesn't decide who sees the next one.
→ Keep Factors for identification and attribution. → Add ContactLevel to reach the named buying group across five platforms — 14-day free trial, 10,000 free contacts, self-serve at audiences.contactlevel.com.
Go deeper
→ All platform comparisons — the full vendor matrix: identification level, pricing, self-serve, best for. → Buying group marketing — turning an account list into the people who actually decide. → B2B match rates — the three measurements that all get called "match rate." → LinkedIn ads cost — why measurement matters most at LinkedIn's CPMs. → Contact-level advertising — how enriched contacts become ad audiences at 70-99% match rates. → What we track — the exact, current position on clicks, visits and impressions.