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Factors AI logoFactors AI

Research Comparison

Updated

Markdown

Summary

B2B account intelligence and multi-touch attribution platform. Identifies anonymous website visitors, tracks buyer journeys, and optimizes ad spend through AI-driven insights and intent signals.

Funding

5.6M

Founded

2020

Team

100

factors.ai

Critical Notes

- Certified LinkedIn Conversions Partner: account-level ad impression tracking and multi-touch attribution - Company-level identification only: no native emails or phone numbers - Steep learning curve and complex setup; advanced features gated behind higher tiers - Reverse-IP lookup can count bot or datacenter traffic as account visits if not filtered

Key Features

- Account Identification via reverse-IP lookup - Scout AI Copilot - Multi-touch Attribution - LinkedIn and Google Adpilot for audience syncing - Intent Capture using first, second, and third-party data - Account Scoring and Predictive Analytics - Workflow Automation

Details

B2B account intelligence and attribution platform for GTM teams. Operating name of Factors Inc., founded 2020 by Srikrishna Swaminathan, Aravind Murthy, Praveen Das. ~100 employees (estimates 70-104). Raised $5.6M over two rounds; latest $3.6M Pre-Series A in July 2023 led by Stellaris Venture Partners. Industry: B2B MarTech/SaaS. Product-led: free tier (200 companies/mo, 3 seats, basic dashboards), Basic plan $399/mo, Try for Free and Interactive Demo CTAs. Sales-led: custom Enterprise plans (unlimited identification, predictive scoring, white-glove onboarding) and GTM Engineering Services ($4,000 setup + $300/mo: ICP modeling, playbook design, SDR enablement). Not open source.

Signalscompared to Common Room

1st Party

  • Salesforce, HubSpot, Zoho, Segment, RudderStack, Marketo, Outreach, Slack, Microsoft Teams, native JS SDK via GTM
  • No person-level de-anonymization; no data-warehouse connectors; no chat/support or CS tools; bi-directional CRM sync unconfirmed

2nd Party

  • LinkedIn Marketing Partner (Company Intelligence API), Google Ads, Facebook Ads, Bing Ads, G2
  • No community, open source, or social signals; only one review site

3rd Party

  • Clearbit Reveal, 6sense, Demandbase, Snitcher, Apollo
  • No native 3rd-party signals (pass-through only); no job changes, hiring trends, news, native technographics, Bombora, or TechTarget

Custom

  • Account Journey API, Intent Upload API, inbound and outbound webhooks, Zapier, Make.com
  • CSV and Google Sheets upload unconfirmed

1st Party: CRMs (Salesforce, HubSpot, Zoho), CDPs (Segment, RudderStack), Marketo, Outreach, Slack, Microsoft Teams, native JS SDK via GTM. 2nd Party: official LinkedIn Marketing Partner using Company Intelligence API for company-level organic and paid impressions, clicks, engagement; Google, Facebook, Bing Ads ROI; G2 intent. 3rd Party: Clearbit Reveal, 6sense, Demandbase, Snitcher, Apollo. Custom: Account Journey API, Intent Upload API, webhooks in/out, Zapier, Make.com.

Identitycompared to Common Room

Enrichment

  • Account-level waterfall, 75% company match claim, Clearbit firmographics/technographics
  • No contact enrichment; no emails or phones; account enrichment outsourced to Clearbit; conflicting match claims (75% vs 50%)

AI Powered

  • Scout AI Copilot, cross-channel account timelines, buying group identification, predictive scoring
  • No AI identity matching; predictive scoring Enterprise-only

Identity

  • Account 360 unification, reverse-IP lookup, no-PII stance
  • No person-level identity resolution; no merging of handles, profiles, or emails; weak against VPNs, remote work, bot traffic

Account 360 unifies 1st, 2nd, 3rd-party signals at account level. Reverse-IP lookup maps visitors to companies. No individual PII by design. Waterfall enrichment claims 75% of visiting companies identified; Clearbit supplies firmographic, technographic, industry, size data; up to 50% of anonymous accounts enriched. AI via Scout Copilot stitches cross-channel signals into account timelines, identifies buying groups, and powers predictive scoring (Enterprise tier).

Automationcompared to Common Room

Combine

  • Web, CRM, ad engagement, and G2 in one scoring canvas
  • Fewer signal types; account grain only

Score

  • ML predictive account scoring (fit, engagement, intent vs historical data)
  • Predictive scoring Enterprise-only; rule-based on lower tiers; no person-level scoring; needs historical win data

AI Message

  • Scout Patrol drafts talk tracks, context, next actions via Slack/CRM; Pre-Call Intelligence kit in under 2 minutes
  • Account-level talking points only; no native AI-written outreach

AI Research

  • Scout Watch natural-language Q&A; MCP with Claude, ChatGPT, Gemini; trained on first-party data
  • Cannot research beyond customer's own data; no prompt library mentioned

Workbench: none. Workflow: trigger-based, Scout Patrol agents monitor pipelines and act, activating Salesforce, HubSpot, Apollo, LinkedIn Ads. Alerts: real-time to Slack and Teams on pricing-page visits, blog reading over a minute, competitor page engagement. Combine: web, CRM, LinkedIn and Google ads, G2 in one scoring canvas. Score: ML predictive account scoring on fit, engagement, intent vs historical data. AI Message: Scout Patrol talk tracks and Pre-Call Intelligence kit in under 2 minutes. AI Research: Scout Watch plain-language questions; MCP with Claude, ChatGPT, Gemini; first-party data only.

Supportcompared to Common Room

Systems

  • Intercom help center and chatbot, email, dedicated Slack channel on all paid tiers, 2-week CSM-led onboarding, GTM Engineering Services ($4K setup + $300/mo)
  • No support on free tier; paid implementation implies steep learning curve

Content

  • Factors Academy (Walkthroughs, Playbooks, Updates), Factors 101 video course, deep-dive videos, written playbooks, technical docs, expert interviews
  • Content does not close setup complexity gap

Community

  • Template library (dashboards, segments, 25+ LinkedIn ad creatives)
  • No user forum, profiles, or community

...

Status: Watch

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