# Factors.ai

> Factors.ai is an AI-powered account-based marketing and attribution platform whose identification layer resolves website visitors through a waterfall across four to five data providers for up to 75 percent account-level coverage, with person-level de-anonymization of up to 40 percent on US B2B traffic; on top of that sit first, second, and third-party intent capture including G2 and Bombora, LinkedIn and Google AdPilot for automated audience syncing and CAPI feedback, multi-touch attribution, and a Scout AI agent accessible through ChatGPT and Claude via an MCP connector.

- Category: Website Visitor Identification (https://saastracker.org/categories/visitor-identification)
- Website: https://www.factors.ai
- Starting price: $199 per month (Lite)
- Free plan: No
- Free trial: Free trial on Lite with no credit card required and a stated two-minute setup
- Founded: 2020, HQ: Wilmington, Delaware, United States, with engineering operations in Bangalore, India, Ownership: Venture-backed
- Profile last reviewed: 2026-08-22
- Canonical profile: https://saastracker.org/products/factors-ai

## Overview

Factors.ai is the most complete platform in this category that a small business can still get into self-serve, and it is best understood as an ABM system that happens to contain excellent visitor identification rather than an identification tool that grew features. The company was founded by Srikrishna Swaminathan, Praveen Das, and Aravind Murthy, is registered in Wilmington, Delaware with its engineering base in Bangalore, has raised roughly $6.1M across three rounds from investors including Elevation Capital, and states more than 1,000 go-to-market teams as customers.

The identification approach is the technically interesting part. Rather than relying on a single identity graph, Factors runs a waterfall across four to five providers, which is why it can claim up to 75 percent account-level identification against a category average nearer 40 percent. On US B2B traffic it also does person-level de-anonymization at up to 40 percent, returning name, title, company, work email, LinkedIn URL, and firmographics. That combination means Factors is one of very few products here that credibly does both company-level identification globally and person-level identification in the US, rather than forcing you to choose a side.

What sits above identification is the reason to buy. Intent capture blends first-party web behaviour, second-party signals, and third-party sources including G2 buyer intent and Bombora. LinkedIn AdPilot syncs high-intent audiences into LinkedIn campaigns, refreshes them daily against live signals, and applies account-level frequency capping so one large account cannot eat an entire budget, which is a genuinely uncommon control. Google AdPilot pushes enriched conversion data back through CAPI to steer Google's algorithm toward pipeline-relevant accounts. Multi-touch attribution then reports first-touch, last-touch, and influenced credit across the whole thing, and a Scout AI agent, reachable from ChatGPT and Claude through the Factors MCP connector, answers questions grounded in your own account data.

The pricing is the sharp edge. There is a self-serve Lite plan at $199 a month with a free trial and no credit card, which is a legitimate small-business entry point. Above that the ladder jumps hard: Basic at $6,000 a year for 10,000 monthly tracked users, 3,000 identified companies, and 5 seats; Growth at $20,000 a year for 50,000 tracked users, 8,000 companies, and 10 seats; Enterprise from $30,000 a year. Those tiers are demo-gated. So Factors qualifies for a small-business list on the strength of Lite, and a buyer should be clear that the platform the marketing describes lives well above it.

## How it works

1. You install the Factors tracking script and connect your data sources: CRM, ad accounts, product analytics, and G2 if you have a listing. The platform is designed to consolidate rather than to be another silo, so the connection step matters more here than with a single-purpose tool.

2. Incoming sessions are resolved through a waterfall across four to five identity providers rather than a single graph. If the first provider fails to match, the next is tried, which is why account-level coverage reaches up to 75 percent where single-source tools sit nearer 40. On US B2B traffic, person-level de-anonymization runs alongside it at up to 40 percent, returning name, title, work email, LinkedIn URL, and firmographics.

3. Identified accounts are enriched and combined with intent from multiple layers: first-party web and product behaviour, second-party signals, and third-party sources including G2 buyer intent and Bombora. Custom account and engagement scoring ranks the result, and journey timelines show how each account moved through touchpoints over time.

4. LinkedIn AdPilot takes the high-intent audiences and syncs them into LinkedIn campaigns automatically, refreshing daily as signals change and capping impression frequency at the account level so budget spreads across your target list rather than concentrating on whoever browses most.

5. Google AdPilot sends enriched conversion data back to Google through the Conversions API, which teaches Google's bidding algorithm to optimise toward accounts that actually become pipeline rather than toward cheap conversions.

6. Workflows and alerts push the signal to people: account lists update themselves, SDRs get notified when a target account behaves in a way that matters, and sales intelligence surfaces AI-generated context on why an account is worth contacting now. Attribution then reports first-touch, last-touch, and influenced credit across every channel, and the Scout AI agent answers questions about all of it from inside ChatGPT or Claude through the Factors MCP connector.

## 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.

## Not the right fit for

- Small businesses that only want to know who visited. Factors is an ABM platform, and if the deliverable is a name in a Slack channel you will be paying for a reporting and orchestration layer you never open.
- Anyone budgeting from the Lite price. The tiers that contain the platform as marketed start at $6,000 a year and are demo-gated; the $199 plan is an entry point, not a small version of the product.
- Teams without paid media spend. AdPilot for LinkedIn and Google is a large share of what makes Factors worth its price, and it is inert if you do not buy ads.
- Companies wanting simple, fast time-to-value. This platform rewards connecting your CRM, ad accounts, product data, and G2, which is a project, not an afternoon.
- European buyers who need documented EU data residency. Factors is SOC 2 Type II certified and states GDPR, CCPA, and PECR compliance, but it does not lead with EU-only processing the way Snitcher, Leadfeeder, or Leadinfo do.

## Features

### Account and visitor identification

A waterfall model that produces the highest published coverage in this category.

- **Waterfall identification across four to five providers**: Rather than depending on one identity graph, Factors tries providers in sequence, which is the mechanism behind its claimed up to 75 percent account-level identification against a category average nearer 40 percent.
- **US person-level de-anonymization**: On US B2B traffic, identification goes to the individual at up to 40 percent, surfacing name, title, company, work email, LinkedIn URL, and firmographics. Very few platforms here do both company and person level credibly.
- **Firmographic enrichment**: Identified accounts arrive enriched rather than as bare names, feeding the scoring and audience logic without a separate data vendor.
- **Dynamic account lists**: Lists built from behavioural and firmographic filters that update themselves as accounts qualify or fall out, rather than static segments someone maintains by hand.
- **Journey timelines**: A chronological view of how an account moved through touchpoints, which is what makes an attribution number believable rather than merely reported.

### Intent capture

Blending your own signals with bought ones, which is where ABM platforms earn their name.

- **First-party intent**: Website behaviour, product usage, and CRM engagement treated as the primary signal rather than an afterthought.
- **G2 buyer intent integration**: Connects G2 buyer activity to your own website behaviour, so an account comparing you on a review site and then reading your pricing page is visible as one story.
- **Bombora third-party intent**: Off-site research signals from the largest B2B intent cooperative, layered onto identified accounts.
- **Ad platform signals**: LinkedIn Ads, Google Ads, and Meta engagement feed the same account record as web and CRM behaviour.
- **Custom account and engagement scoring**: Scoring models you define rather than a fixed vendor formula, which matters once you have enough signal sources to need weighting.

### AdPilot ad orchestration

The module that most clearly separates Factors from a visitor identification tool.

- **LinkedIn audience auto-syncing**: High-intent audiences push into LinkedIn campaigns automatically and refresh daily against live signals rather than being uploaded quarterly.
- **Account-level frequency capping**: Caps impressions per account so a single large organisation cannot absorb an entire campaign budget. This is an uncommon and genuinely valuable control in B2B media.
- **Google CAPI conversion feedback**: Enriched conversion data is sent back to Google through the Conversions API so bidding optimises toward pipeline-relevant accounts rather than toward the cheapest conversions.
- **Multi-channel ad synchronisation**: Audiences coordinate across LinkedIn, Google, and Meta rather than being rebuilt separately in each platform.
- **Pipeline-relevant optimisation**: The whole module is built around teaching ad platforms what a good account looks like, not just what a cheap click looks like.

### Attribution and analytics

The reporting layer a CMO will actually present.

- **Multi-touch attribution**: First-touch, last-touch, and influenced credit tracked simultaneously so no channel is unfairly credited or written off.
- **Cross-channel deal influence**: Reports which campaigns influenced closed deals rather than which produced form fills, which is the number that survives a board meeting.
- **Unsampled web and funnel analytics**: Full-fidelity analytics rather than the sampled reporting that undermines confidence in most marketing dashboards.
- **AI Analyst**: Generates insights from the underlying data rather than requiring someone to build every report by hand.

### Workflows, agents, and platform

Automation and the AI surface, which is unusually modern for the category.

- **Scout AI agent**: Build agents for marketing, sales, and customer success that automate research and workflows grounded in your own account data rather than in general knowledge.
- **Factors MCP connector**: Exposes Factors data through the Model Context Protocol so ChatGPT and Claude can query your account intelligence directly, which is among the earliest MCP implementations in this category.
- **Automated account list updates**: Lists maintain themselves against live behaviour rather than requiring a periodic manual rebuild.
- **Intent-based SDR alerts**: Notifications trigger on account behaviour so reps engage at the moment intent appears rather than on a weekly review cadence.
- **GTM engineering integrations**: Native support for Clay, BitScale, and n8n alongside conventional CRM and ad connectors, which reflects how modern RevOps teams actually build.
- **SOC 2 Type II certification**: Independently audited security certification, which most of the small self-serve vendors in this category do not hold and which matters if procurement is involved.

## Use cases

- **B2B marketing lead who cannot reconcile identification, ads, and attribution**: One tool says which companies visited, the ad platforms report their own conversions, the CRM says something different, and nobody trusts the pipeline number in the board deck. Outcome: Factors resolves the account once, feeds the same identity into LinkedIn and Google through AdPilot, and reports first-touch, last-touch, and influenced attribution off a single dataset, so the three views finally agree.
- **Team wasting LinkedIn budget on a handful of large accounts**: A few enterprise organisations with heavy browsing habits absorb most of the impression budget, and smaller in-ICP accounts never see an ad. Outcome: LinkedIn AdPilot's account-level frequency capping spreads spend across the target list, and daily audience refresh keeps the campaign pointed at accounts currently showing intent rather than at last quarter's list.
- **US-focused company that wants both company and person identification**: Company-level data is not specific enough for outbound, but buying a separate US person-level tool means a second vendor, a second contract, and two conflicting datasets. Outcome: Factors delivers up to 75 percent account-level coverage globally through its provider waterfall and up to 40 percent person-level de-anonymization on US B2B traffic in the same platform, with the person record carrying name, title, work email, and LinkedIn URL.
- **RevOps engineer building on Clay and n8n**: The team runs enrichment waterfalls and automation outside any vendor dashboard and does not want a platform that insists on being the interface. Outcome: Native Clay, BitScale, and n8n integrations plus the Factors MCP connector let account intelligence flow into their own pipelines and be queried from Claude or ChatGPT, so Factors becomes infrastructure rather than another tab.

## Pricing

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 per month. Self-serve signup with no sales call; Free trial, no credit card required; Account identification and core data foundation; Roughly two-minute setup; The only genuinely small-business entry point. A real plan, but not a small version of the platform: predictive scoring, advanced ABM analytics, and multi-channel ad synchronisation live above it.
- **Basic**: $6,000 per year. Up to 10,000 monthly tracked users; Up to 3,000 companies identified per month; 5 seats; Account identification and data foundation; Annual contract, demo required. Roughly $500 a month, which is where the platform starts behaving like the marketing describes.
- **Growth**: $20,000 per year. Up to 50,000 monthly tracked users; Up to 8,000 companies identified per month; 10 seats; Predictive scoring and advanced ABM analytics; Multi-channel ad synchronisation and enhanced attribution. The tier where LinkedIn and Google AdPilot plus full attribution come together, and firmly outside small-business budgets.
- **Enterprise**: From $30,000 per year. Up to 100,000 monthly tracked users; Custom company identification limits; 25 seats; Full platform capability; Custom commercial terms.

Billing notes:

- The gap between Lite at $199 a month and Basic at $6,000 a year is the single most important thing in this pricing page: there is no gentle middle, and the jump is roughly 2.5 times.
- Only Lite is self-serve. Basic, Growth, and Enterprise all require booking a demo and committing annually.
- Pricing is metered on two axes at once, monthly tracked users and identified companies per month, so a high-traffic site with a narrow ICP and a low-traffic site with a broad one can hit limits for opposite reasons.
- Seats are capped by tier (5 on Basic, 10 on Growth, 25 on Enterprise), which for a marketing and sales organisation of any size is a real constraint rather than a formality.
- The Lite free trial requires no credit card and setup is stated at around two minutes, so evaluating the identification layer costs nothing but time.
- Predictive scoring, advanced ABM analytics, multi-channel ad synchronisation, and enhanced attribution are all reserved for Growth and above, meaning the flagship capabilities begin at $20,000 a year.

Value assessment: 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.

## 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.
- Intent is blended across first-party behaviour, G2 buyer intent, and Bombora rather than resting on one source, and custom scoring lets you weight them yourself.
- SOC 2 Type II certified with stated GDPR, CCPA, and PECR compliance, which clears procurement checks most small vendors in this category cannot.
- The Scout AI agent and Factors MCP connector make account intelligence queryable from ChatGPT and Claude, an unusually early and practical AI surface for this category.
- Native Clay, BitScale, and n8n integrations reflect how modern RevOps teams actually build rather than assuming the dashboard is the destination.

## 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.
- Person-level de-anonymization is US-only in practice, which means the person-level half of the pitch does not apply to European traffic.
- Seat caps of 5 and 10 on Basic and Growth are tight for a combined marketing and sales organisation at those price points.
- This is a platform with a real implementation cost: connecting CRM, ad accounts, product data, and G2 is a project, and the value does not appear until that work is done.
- Modest funding of roughly $6.1M against competitors like 6sense and Demandbase means Factors is playing an under-resourced game in the segment it is targeting upward.

## Comparisons

- **Factors.ai vs Leadfeeder**: Leadfeeder is stronger on European identification data, offers a permanently free tier and unlimited users, and processes entirely within the EU. Factors offers higher claimed coverage through a provider waterfall, US person-level de-anonymization, real ad orchestration, and multi-touch attribution, but starts at $199 a month and jumps to $6,000 a year. Take Leadfeeder if EU residency and the identification data itself are what you are buying; take Factors if ad orchestration and attribution reporting are the deliverable.
- **Factors.ai vs Albacross**: Albacross is far cheaper (from 59 euros a month) and bundles AI email and LinkedIn sequences for direct outreach, focused on European identification plus activation. Factors is a reporting and orchestration platform with waterfall identification, G2 and Bombora intent, AdPilot, and attribution. Choose Albacross if you need a two-person team to start conversations this week; choose Factors if you need to prove which campaigns produced pipeline and steer paid media accordingly.
- **Factors.ai vs 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.

## Implementation

- 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.
- 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.
- Onboarding: Self-serve on Lite with a free trial and no credit card. Basic, Growth, and Enterprise all require booking a demo and an annual commitment. The company also offers GTM engineering services, which is a signal that the platform expects implementation support at the higher tiers.
- Migration: Because Factors is designed to consolidate rather than to be another silo, the migration question is usually which existing tools it replaces. It can subsume a standalone visitor identification tool, an attribution product, and a LinkedIn audience management workflow simultaneously, but only at the Growth tier and above. Historical attribution data does not backfill from other platforms, so the reporting only becomes useful after a few months of collection, which is worth planning around before you cancel anything.

## Platform, API & security

- Platforms: JavaScript tracking script for any website, Web application, Slack alerts, MCP connector for ChatGPT and Claude
- API: Factors MCP exposes account intelligence to ChatGPT and Claude; the platform also integrates natively with GTM engineering tools including Clay, BitScale, and n8n, alongside CRM, ad platform, and data warehouse connectors.
- Compliance: SOC 2 Type II certified, GDPR compliant, CCPA compliant, PECR compliant
- Data residency: Not published as an EU-only commitment. Buyers with strict European residency requirements should confirm directly.
- SSO: Available on higher tiers; not published as a feature of the self-serve Lite plan.
- Security notes: SOC 2 Type II certification plus stated GDPR, CCPA, and PECR compliance puts Factors ahead of most small self-serve vendors in this category on audited security. The nuance worth understanding is the identification waterfall: because resolution runs across four to five third-party providers, your compliance posture depends partly on those providers' practices, and person-level de-anonymization is confined to US traffic. Ask which providers are in the waterfall if that matters to your privacy review.

## Support

- Channels: Email support, In-app support, Dedicated support on annual tiers, GTM engineering services offered separately
- Documentation: Product documentation covering script installation, integrations, account lists, scoring, AdPilot configuration, attribution models, and the MCP connector.
- Community: Substantial published blog and resource output on ABM, ads, attribution, and GTM engineering, plus a strong G2 review presence.

## Company

- Founded: 2020
- Founders: Srikrishna Swaminathan, Praveen Das, Aravind Murthy
- Headquarters: Wilmington, Delaware, United States, with engineering operations in Bangalore, India
- Ownership: Venture-backed
- Employees: Not disclosed
- Funding: Approximately $6.1M raised across three rounds from investors including Elevation Capital and Emergent Ventures, with the most recent round in 2023.

Funding history:

- Seed (2021): Not fully disclosed. First institutional round, raised in August 2021.
- Follow-on (2023): $3.6M. Latest disclosed round, bringing total funding to roughly $6.1M across 19 investors including Elevation Capital.

Timeline:

- 2020: Founded by Srikrishna Swaminathan, Praveen Das, and Aravind Murthy to build account-based marketing and revenue attribution software for B2B go-to-market teams.
- 2021: Raises its first institutional round and establishes the attribution and analytics core that the later ABM platform is built on.
- 2023: Raises a further $3.6M, bringing total funding to roughly $6.1M, and expands the identification layer into a waterfall across multiple data providers.
- 2024: Launches LinkedIn AdPilot with account-level frequency capping and Google AdPilot with CAPI conversion feedback, moving from reporting into ad orchestration.
- 2025: Adds G2 buyer intent and Bombora third-party intent alongside first-party signals, plus custom account scoring and journey timelines.
- 2026: Ships the Scout AI agent and the Factors MCP connector for ChatGPT and Claude, states more than 1,000 go-to-market teams as customers, and holds SOC 2 Type II certification.

## Integrations

LinkedIn Ads, Google Ads, Meta Ads, HubSpot, Salesforce, G2 buyer intent, Bombora, Clay, BitScale, n8n, Slack, Data warehouses, Factors MCP for ChatGPT and Claude

## FAQ

### What is Factors.ai?

Factors.ai is an AI-powered account-based marketing and attribution platform. Its identification layer resolves website visitors through a waterfall across four to five data providers, claiming up to 75 percent account-level coverage and up to 40 percent person-level de-anonymization on US B2B traffic. On top sit intent capture from first-party behaviour plus G2 and Bombora, LinkedIn and Google AdPilot for ad orchestration, multi-touch attribution, and a Scout AI agent reachable from ChatGPT and Claude.

### How much does Factors.ai cost?

There is a self-serve Lite plan at $199 a month with a free trial and no credit card. Above that, Basic is $6,000 a year for 10,000 monthly tracked users, 3,000 identified companies, and 5 seats; Growth is $20,000 a year for 50,000 tracked users, 8,000 companies, and 10 seats; Enterprise starts at $30,000 a year for 100,000 tracked users and 25 seats. Only Lite is self-serve; everything above requires a demo and an annual commitment.

### Is the $199 Lite plan a real product?

Yes, but understand what it is. Lite gives you account identification and the core data foundation self-serve, which at $199 a month for waterfall-based identification is genuinely good value. It is not a small version of the platform: predictive scoring, advanced ABM analytics, multi-channel ad synchronisation, and enhanced attribution all live on Growth at $20,000 a year. Buy Lite for the identification, not as a stepping stone you can grow into gradually, because the ladder has no middle rung.

### How does Factors achieve a 75 percent match rate?

By running a waterfall across four to five identity providers rather than depending on a single graph: if one provider fails to match a session, the next is tried. That is a real mechanism rather than a marketing claim, and it explains why the coverage figure sits above the roughly 40 percent typical of single-source tools. It remains vendor-measured against a vendor-defined baseline, and which providers sit in the waterfall is not disclosed, so verify on your own traffic during the trial.

### Does Factors identify individual people or just companies?

Both, which is unusual. Account-level identification runs globally at up to 75 percent coverage. Person-level de-anonymization runs on US B2B traffic at up to 40 percent, returning name, title, company, work email, LinkedIn URL, and firmographics. The person-level half is effectively US-only, so European traffic will resolve to the account and stop there, which is the same boundary every other vendor in this category enforces.

### What is AdPilot and why does it matter?

AdPilot is the ad orchestration module. On LinkedIn it syncs high-intent audiences automatically, refreshes them daily against live signals, and applies account-level frequency capping so one large account cannot absorb an entire campaign budget, which is an uncommon and genuinely useful control. On Google it sends enriched conversion data back through the Conversions API so bidding optimises toward pipeline-relevant accounts rather than cheap conversions. It is a large part of why the upper tiers cost what they do.

### Is Factors.ai GDPR compliant, and where is my data stored?

Factors states GDPR, CCPA, and PECR compliance and holds SOC 2 Type II certification, which is stronger audited security than most small vendors in this category. What it does not publish is an EU-only data residency commitment. If your procurement requires documented European processing, Snitcher (Frankfurt), Leadfeeder (EU-wide), and Leadinfo (Ireland and Frankfurt) all make that commitment explicitly and Factors does not, so confirm directly before assuming.

### What is the Factors MCP connector?

It exposes your account intelligence through the Model Context Protocol so ChatGPT and Claude can query it directly. Combined with the Scout AI agent, which builds agents for marketing, sales, and customer success grounded in your own account data, it means you can ask questions about your pipeline and target accounts from inside an assistant rather than building reports. It is one of the earlier practical MCP implementations in this category.

### How does this compare with just running IP-to-company enrichment?

A single IP-to-company lookup gives you an account name at roughly 40 percent coverage and nothing else. Factors runs multiple providers in sequence for higher coverage, adds person-level resolution on US traffic, blends in G2 and Bombora intent so you know an account is in market rather than merely present, then feeds that identity into ad platforms and attribution reporting. If you only need the account name, the plain lookup is dramatically cheaper and you should buy that instead.

### Who is behind Factors.ai?

Factors.ai was founded by Srikrishna Swaminathan, Praveen Das, and Aravind Murthy, is registered in Wilmington, Delaware with engineering operations in Bangalore, and has raised roughly $6.1M across three rounds from investors including Elevation Capital. It states more than 1,000 go-to-market teams as customers. That funding level is modest against the 6sense and Demandbase tier it competes with at its upper price points, which is worth weighing on a multi-year commitment.

## Editorial verdict

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.

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Source: SaaSTracker (https://saastracker.org), an independent editorial project. This profile is compiled from public information, carries no peer reviews or paid placement, and was last reviewed 2026-08-22. Awards are judged on published criteria: https://saastracker.org/methodology