Zeer Factors.ai / intent / factors-ai

Factors.ai

11-50 employees·Stamford, Connecticut, United States·factors.ai

Observed, not inferred · updated weekly

Buying intent

61 tracked signals | Top 15 topics are below | Sales and Marketing are carrying most of it.

38signals · 30 days
38topics tracked
12%attributed to a team

Attention by team

LinkedIn activity, by team

Where Factors.ai's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.

Artificial Intelligence
Account-Based Marketing
AI Agent Software
Go to Market
Social Media
Performance Marketing
Sales
Low50% of team Sales to Artificial Intelligence: Low, 50% of this team's signals
Low50% of team Sales to Account-Based Marketing: Low, 50% of this team's signals
Sales to AI Agent Software: no signal
Sales to Go to Market: no signal
Sales to Social Media: no signal
Sales to Performance Marketing: no signal
Marketing
Marketing to Artificial Intelligence: no signal
Marketing to Account-Based Marketing: no signal
Marketing to AI Agent Software: no signal
Marketing to Go to Market: no signal
Low100% of team Marketing to Social Media: Low, 100% of this team's signals
Marketing to Performance Marketing: no signal
Others
High41% of team Others to Artificial Intelligence: High, 41% of this team's signals
Medium23% of team Others to Account-Based Marketing: Medium, 23% of this team's signals
Medium14% of team Others to AI Agent Software: Medium, 14% of this team's signals
Low9% of team Others to Go to Market: Low, 9% of this team's signals
Low5% of team Others to Social Media: Low, 5% of this team's signals
Low9% of team Others to Performance Marketing: Low, 9% of this team's signals
LowMediumHigh·  banded against the busiest pairing on this page

Topics being researched

30-day window

Every tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.

Artificial Intelligence
LinkedIn
High volume
96%
last
9d ago
Account-Based Marketing
LinkedIn
Medium volume
98%
last
10d ago
AI Agent Software
LinkedIn
Low volume
97%
last
9d ago
Go to Market
LinkedIn
Low volume
91%
last
13d ago
Social Media
LinkedIn
Low volume
96%
last
29d ago
Performance Marketing
LinkedIn
Low volume
98%
last
25d ago
B2B Marketing
LinkedIn
Low volume
98%
last
10d ago
Account-Based Marketing (ABM)
LinkedIn
Low volume
94%
last
18d ago
Revenue Operations
LinkedIn
Low volume
98%
last
19d ago
Customer Relationship Management (CRM)
LinkedIn
Low volume
98%
last
16d ago
Sales and marketing alignment
LinkedIn
Low volume
98%
last
22d ago
Google Ads
LinkedIn
Low volume
92%
last
25d ago
Qualified Leads
LinkedIn
Low volume
98%
last
18d ago
Engineering team
LinkedIn
Low volume
83%
last
13d ago
AI Marketing
LinkedIn
Low volume
92%
last
25d ago

Need intent for a specific topic or industry?

We track the full taxonomy across every account in the graph โ€” including themes not shown on this page.

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Who's active at Factors.ai

verified title on file

Titles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.

Others7 active
Executiveresearching Artificial Intelligence
in
Executiveresearching AI Agent Software
in
Executiveresearching Artificial Intelligence
in
Senior ICresearching Carve-Out
in
Account Executive
researching Social Media
in
researching Trade-off
in
Sales2 active
researching Account-Based Marketing
in
researching Artificial Intelligence
in
Operations1 active
Executiveresearching App Store
in
Engineering1 active
Senior Software Engineer
researching Software Design
in
+ 1 more in Engineering
Marketing1 active
Growth Marketer
researching Social Media
in
+ 1 more in Marketing

See everyone, not just the first 10

12 people across every department at Factors.ai, plus a LinkedIn profile link for each.

Primary products / business lines

LinkedIn company profile

Factors is a demand generation platform that uses AI agents to help you combine diverse intent signals, segment accounts, and launch high-performing ABM campaigns โ€“ all in one place.

New capability sought

Employee posts (LinkedIn)

Performance Marketing; Social Media

Top accounts researching Factors.ai

names withheld on the public page

These are companies whose own people brought up Factors.ai unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.

  • Account withheldMoEngage2 contacts
  • Account withheldNeonTrumpet1 contacts
  • Account withheldPowerServ Energy Advisors, Inc.1 contacts
  • Account withheldLucidity1 contacts
  • Account withheldWiza1 contacts
  • Account withheldQodex - AI Agent for API Testing & Security1 contacts
  • Account withheldRight Percent1 contacts
  • Account withheldNETSOL Technologies Inc.1 contacts

Buyer profile

company size · seniority

Company size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.

Unlock the buyer profile

Company-size breakdown and buyer seniority mix for accounts researching Factors.ai.

Company size breakdown
Buyer seniority mix

Companies researching Factors.ai

by employee count
  • 1-10 employees3 cos · 3 contacts
  • 11-50 employees2 cos · 2 contacts
  • 51-200 employees1 cos · 1 contacts
  • 501-1,000 employees1 cos · 2 contacts
  • 1,001-5,000 employees1 cos · 1 contacts

Who inside those companies

seniority, where on file
Executive
4
Senior IC
1
VP
1
~3 further brand-affiliated researchers have no seniority on file and are excluded from these bars.

Buying committee functions

Employee job titles (LinkedIn)

Leadership โ€” 3 people; Sales โ€” 2 people; Engineering โ€” 2 people; Marketing โ€” 1 person

What's been said

public posts mentioning Factors.ai

Up to 9 public excerpts naming Factors.ai from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.

LinkedIn

$95,000 deal closes. Three people immediately claim credit. A partner says it came from their event. A BDR says he made calls. The head of RevOps gets added to a Slack thread. Managers and colleagues get cc'd. Everyone has a version of events. If you run Factors.ai Attribution Agent on this deal, here's what it will find. The BDR did make a call. Power dial. Less than 10 seconds. Went to voicemail. Never connected. The partner had hosted the event. The account was actively engaging with content before and after. Genuine, trackable involvement. The Agent saw everything: call duration, email replies, website engagement, event activity. It came back with a clear verdict. Not an opinion. Evidence. Someone on the call said it better than I could.. "It's like having a CCTV camera instead of asking two witnesses who both claim to have seen different things." That's exactly right. This matters beyond credit. If you systematically misattribute what drove deals, you optimize toward whoever argues best rather than toward what actually works. An agent doesn't have in-office camaraderie with anyone. It doesn't have an office location. It surfaces the evidence.. and the conversation that follows is a completely different one.

May 2026

Leadership changes

Web / press

Factors.ai started with a simple problem.. marketers spend a lot of money and can't tie it to revenue. | Srikrishna Swaminathan

M&A / partnership appetite

Web / press

Factors.ai Announces Integration With LinkedInโ€™s Company Intelligence API for Full-Funnel B2B Attribution; Empowering Next- Gen B2B Marketers - Announcing Our Investment in Factors.ai

About this data. Factors.ai (factors.ai). Department attribution is 12%; remaining activity is grouped under Others. Updated 2026-10-03T14:00:03.490Z.

Not yet computedPer-team narrative summaries