Factors.ai vs Fathom Analytics in 2026: Named-Account ABM vs Cookieless Privacy-First Analytics
One identifies and scores the individual companies visiting your site, starting at $199 a month and scaling to $30,000+ a year. The other collects no personal data at all and starts at $15 a month with no free tier.
Factors.ai
Fathom Analytics- Factors.ai identifies and scores individual companies visiting your site by name, enriching them with intent and firmographic data. Fathom Analytics identifies nothing: it collects no cookies and no personal or company-level data by design.
- Fathom starts at $15/month with a 7-day free trial and no permanent free tier. Factors.ai's cheapest plan, Lite, is $199/month, and its serious ABM tier, Basic, costs $6,000/year.
- Fathom requires no cookie consent banner under GDPR, CCPA, or PECR because it collects no personal data. Factors.ai is built around identifying and tracking named accounts and contacts, a fundamentally different data model with different compliance obligations.
- Factors.ai includes an MCP integration that exposes account intelligence and attribution data to AI agents. Fathom has no MCP or AI agent integration in its own published feature set.
- Fathom includes API access and 50+ sites on every plan at one flat rate. Factors.ai gates CRM sync, account segmentation, and LinkedIn Ads tracking behind at least the $6,000/year Basic tier.
- Fathom retains analytics data forever on every plan, with no rolling data window. Factors.ai does not publish a data retention policy in its own product materials.
- Neither platform tracks AI search referral traffic from ChatGPT, Perplexity, or Google AI Overviews as a named feature; that is outside what either tool is built to do.
Factors.ai and Fathom Analytics land on opposite ends of what "analytics" even means. Factors.ai exists to unmask which named companies are visiting your site, enrich them with intent and firmographic data, and feed that into LinkedIn ad targeting and CRM workflows, an account-based marketing platform built for B2B demand gen teams with a real budget. Fathom Analytics exists to answer basic traffic questions, top pages, referrers, visitor counts, without collecting a single cookie or personal identifier, built for teams that want GDPR compliance settled and a clean dashboard, nothing more. Comparing them head to head only makes sense as a decision about how much analytics complexity your company actually needs right now, not as a feature-by-feature bake-off between similar tools.
The tools at a glance
Factors.ai
AI-first ABM platform that turns account intent signals into pipeline actions
Factors.ai identifies the companies visiting your website and, from the Basic plan up, unmasks 75%+ of those visits to named accounts rather than leaving you with an anonymous traffic number. It layers in intent signals from G2 on the Growth tier, firmographic data, and behavioral patterns across the buyer journey, then feeds all of it into LinkedIn AdPilot, which builds precise ad audiences from that intent data and sends enhanced conversion signals back to LinkedIn to improve targeting.
Full-funnel attribution tracks every touchpoint from first visit through closed revenue, crediting first-touch, last-touch, and influenced interactions rather than just the last thing a lead clicked before converting. Growth tier adds custom account scoring, and Enterprise adds predictive scoring built on historical win data. The MCP integration, which Factors describes as carrying more GTM context than any comparable tool, exposes account intelligence and attribution data to AI agents in Claude, ChatGPT, or custom workflows.
The tradeoff is cost and complexity that scales together. Lite at $199/month is a narrow entry point mostly useful for evaluating fit; the features that make Factors an actual ABM platform, CRM sync, account segmentation, LinkedIn Ads influence tracking, start at the $6,000/year Basic tier, and G2 intent data alone requires the $20,000/year Growth plan. Onboarding takes real effort too, since the platform is aggregating website, CRM, ad, and intent data rather than tracking one clean event stream.
| Feature | Lite $199/month | Basic $6,000/year | Growth $20,000/year | Enterprise $30,000+/year |
|---|---|---|---|---|
| Company identification (website visitors) | ✓ | ✓ | ✓ | ✓ |
| Unmask 75%+ of visiting companies | ✗ | ✓ | ✓ | ✓ |
| CRM sync | ✗ | ✓ | ✓ | ✓ |
| LinkedIn Ads influence tracking | ✗ | ✓ | ✓ | ✓ |
| Custom account scoring | ✗ | ✗ | ✓ | ✓ |
| G2 intent data | ✗ | ✗ | ✓ | ✓ |
| Predictive account scoring | ✗ | ✗ | ✗ | ✓ |
Fathom Analytics
Simple, GDPR-compliant web analytics with cookieless tracking and forever data retention
Fathom answers the questions most sites actually need answered: how many people visited, which pages they read, where they came from, what device they used. It does this with a single script tag and no cookies, no local storage, and no personal identifiers stored on the visitor's device, which means no consent banner is legally required under GDPR, PECR, or CCPA. Over a million sites run it, including properties for IBM, GitHub, and Tailwind CSS.
Every plan includes API access, event and ecommerce tracking, and at least 50 sites, with additional site packs available for $10/month per 50, which makes it a practical flat-rate option for agencies reporting across a client portfolio. Data retention is forever on every tier, a deliberate contrast to GA4's rolling data window, so historical comparisons stay available regardless of how long you have been a customer.
What Fathom does not do is the point as much as what it does. There is no product analytics, no user journey tracking, no account identification, and no named AI traffic detection feature. It is bootstrapped and independently owned, with the founders public about keeping the product simple rather than expanding into the kind of account intelligence or firmographic enrichment that a platform like Factors.ai is built entirely around.
| Feature | All plans From $15/mo |
|---|---|
| Pricing model | Based on monthly page views |
| Sites included | 50+ |
| Data retention | Forever |
| API access | ✓ |
| Ecommerce tracking | ✓ |
| No cookie banners required | ✓ |
| 7-day free trial | ✓ |
Head-to-head feature comparison
| Feature | Factors.ai | Fathom Analytics |
|---|---|---|
| Primary use case | B2B account-based marketing and demand generation | Privacy-first web analytics for any website |
| Named visitor / account identification | Yes (unmasks 75%+ of visiting companies, Basic plan and above) | No (aggregate traffic counting only, not account or contact identification) |
| Personal or cookie data collected | Yes (firmographic and account-level identification is the core product) | No (no cookies, no personal data collected) |
| Cookie consent banner required | Not addressed in Factors.ai's own published materials | No (not required under GDPR, CCPA, or PECR) |
| Pricing model | Tiered subscription: monthly Lite, annual contracts above | Flat rate by monthly page views |
| Starting price | $199/month (Lite) | $15/month |
| CRM integration | Yes (Salesforce and HubSpot, from Basic plan) | Not stated (no CRM integration listed in Fathom's own data) |
| LinkedIn ad automation | Yes (AdPilot, from Basic plan; impression control on Enterprise) | No |
| Data retention | Not stated in Factors.ai's own data | Forever, on every plan |
| API access | Yes (not itemized by tier in the pricing table) | Yes (included on every plan) |
| MCP integration | Yes (exposes account intelligence and attribution data to AI agents) | No (not listed in Fathom's own data) |
| Multi-site / multi-client support | Not stated (no sub-account or multi-client feature listed) | Yes (50+ sites per account, add-on packs of 50 for $10/month) |
| Free trial | No free trial listed | Yes (7-day free trial) |
Which should you choose?
Factors.aiFathom AnalyticsFathom AnalyticsFactors.aiFactors.aiFathom AnalyticsFactors.aiThese two are not competing for the same evaluation in almost any real scenario. Fathom answers "how much traffic did we get and where did it come from" for a price and a data model that any team, from a solo blogger to a large agency, can adopt without a legal review. Factors.ai answers "which specific company is in-market for what we sell, and how do we act on that," which is a materially harder and more expensive problem that only makes sense once you have a CRM, a sales team, and an ad budget aimed at named accounts. The right read is not "which is better" but "which problem do you actually have."
Bottom line
Start with Fathom if you need clean, compliant traffic data and nothing more, the $15/month entry price and 7-day trial make it low-risk to test against your actual page view volume. Move to Factors.ai only once you have outbound or ABM motion that needs named-account intelligence, and budget realistically: the $199/month Lite plan is an evaluation tier, and the account scoring, CRM sync, and intent data that make the platform worth the switch live at $6,000/year and up. Running Fathom for general site analytics while Factors.ai handles account-based targeting is a reasonable stack, not a redundancy.
Frequently asked questions
Can I use Fathom Analytics for account-based marketing like Factors.ai?
No, Fathom does not identify visiting companies, contacts, or accounts at all, by design it collects no cookies or personal data, which rules out the account-level targeting that Factors.ai is built around. If you need to know which named company is browsing your site, Fathom cannot answer that question regardless of plan.
Is Factors.ai overkill for a small SaaS startup that just wants basic traffic data?
Yes, for most early-stage teams. Factors.ai's entry price of $199/month buys company-level website visitor identification, but the account scoring, CRM sync, and intent data that justify an ABM platform sit behind the $6,000/year Basic tier and up. A startup that just wants to know where its traffic comes from is better served by a simpler tool like Fathom until it has a defined outbound or ABM motion to point Factors.ai at.
Does Fathom Analytics identify which companies are visiting my website?
No, Fathom explicitly collects no cookies and no personal or company-identifying data, which means it cannot unmask visiting companies the way Factors.ai does. Fathom reports aggregate traffic metrics: page views, referrers, countries, and devices, without any individual or account-level identification.
How much more expensive is Factors.ai than Fathom Analytics?
Substantially more, once you get past the entry tier. Fathom starts at $15/month flat with 50+ sites included, while Factors.ai's Lite plan is $199/month and its Basic plan, the tier where CRM sync and account segmentation actually turn on, costs $6,000/year. The Growth plan with G2 intent data runs $20,000/year, and Enterprise starts above $30,000/year.
Do either Factors.ai or Fathom track AI search traffic from ChatGPT or Perplexity?
No, neither tool has a named feature for tracking AI search referral traffic or AI Overviews visibility in its own published data. Factors.ai's MCP integration feeds account intelligence to AI agents for GTM workflows, which is a different capability from monitoring how a brand appears inside ChatGPT or Perplexity answers.
Can Factors.ai and Fathom Analytics be used together?
Yes, and there is no functional overlap that would make one redundant. Fathom can run as the general privacy-compliant traffic layer for a site, while Factors.ai handles named-account identification, intent scoring, and LinkedIn ad automation for the B2B pipeline. Teams often keep a lightweight analytics tool running even after adopting an ABM platform, since ABM tools are not built to answer basic traffic-reporting questions.