Intent Signal Engine

Know Who Wants to Buy Before They Reach Out

Monitor real-time buying signals across LinkedIn — company pages, influencer posts, events, profile visits, hiring moves, and tech stack changes. Warm prospects are automatically added to your pipeline with intent-scored, signal-based outreach.

6 Signal TypesReal-Time Detection30-Day Free Trial
See It In Action

Real-Time Intent Signal Dashboard

Watch as buying signals stream in from across LinkedIn. Each signal is scored for intent strength and automatically routed to your outreach pipeline.

Live Signal Feed
Monitoring 24 sources
Scanning for signals…

Signals Detected

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By Type

Company Page
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Influencer
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Event
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Profile Visit
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Core Capabilities

B2B Intent Data Detection That Drives Pipeline

Every signal is captured, scored, and turned into action, so you reach prospects at the exact moment they're showing buying interest.

Multi-Source Signal Detection

Monitor six distinct signal types simultaneously — company pages, influencers, events, profile visits, hiring, and tech stack changes. No blind spots in your intent coverage.

6 signal types

AI Intent Scoring

Every signal is scored 0-100 using a weighted algorithm that considers recency, frequency, signal type, and ICP fit. Focus your team on the hottest leads automatically.

3.2x higher conversion

Auto-Pipeline & Outreach

Warm prospects are automatically added to your outreach pipeline with full signal context. Your AI agent references the specific buying signal for maximum relevance.

< 1 hr to action
How It Works

From Signal to Meeting in 4 Steps

Set up your monitoring sources in minutes. Sellinger continuously scans for buying signals and feeds warm leads straight into your outreach pipeline.

Configure Sources

Select company pages, influencers, events, and groups to monitor

Detect Signals

AI continuously scans for engagement and buying intent

Score & Enrich

Each signal is scored for intent and enriched with lead data

Auto-Outreach

Warm leads enter your pipeline with signal-based messaging

6 Signal Types

Every Buying Signal, Captured

Sellinger monitors six categories of buying signals on LinkedIn. Each one is a window into purchase intent that your competitors miss.

Company Page Monitoring

Track engagement on competitor and industry company pages. When prospects like, comment on, or share posts from companies in your space, it reveals active interest in solutions like yours. Catch them researching before they reach out to anyone.

Influencer Tracking

Monitor engagement on thought leader and industry influencer posts. When your ICP engages with content about topics you solve, it signals they're actively thinking about the problem. Reach out while the topic is fresh in their mind.

Event & Group Monitoring

Track LinkedIn events and group activity. Prospects who register for industry webinars, attend virtual summits, or actively participate in niche groups are self-selecting as high-intent buyers ready to evaluate solutions.

Profile Visit Detection

Know who's viewing your profile. Profile visits are one of the strongest buying signals — someone is actively researching you. Sellinger detects visits and immediately queues personalized outreach before the prospect moves on.

Hiring Signal Detection

Track when companies post relevant job openings. A company hiring for 'Head of Sales Development' or 'Revenue Operations' signals budget allocation and growth plans — the perfect moment to introduce your solution.

Tech Stack Changes

Detect when companies adopt, switch, or evaluate technologies. A CRM migration, a new marketing tool adoption, or dropping a competitor's product all create natural entry points for your outreach.

Intent Scoring

AI-Powered Intent Scoring Algorithm

Not all signals are equal. Sellinger's scoring model weighs multiple factors to rank leads by actual purchase likelihood, so your team focuses where it matters most.

Signal Type Weight

Profile visits and hiring signals carry the highest base weight because they indicate direct purchase consideration. Company page engagement and influencer tracking provide supporting context. Each type contributes differently to the final score.

6 weighted categories

Recency Decay

A signal from today is worth more than one from last week. The scoring model applies time-based decay so your pipeline always reflects current intent — not stale interactions from weeks ago.

Real-time decay curve

Frequency Amplification

A prospect who engages once might be curious. A prospect who engages three times across different sources is actively evaluating. Repeated signals compound the score exponentially.

Multi-touch boosting

ICP Relevance Match

Signals from prospects that match your ideal customer profile score higher than those from outside your target market. Company size, industry, role, and seniority all factor into the relevance multiplier.

Dynamic ICP matching
Signal → Action

From Buying Signal to Booked Meeting

Intent signals are only valuable if you act on them fast. Sellinger closes the loop automatically: detecting the signal, crafting the message, and starting the conversation.

01

Signal Detected

A prospect engages with a competitor's post, attends an industry event, or views your profile. Sellinger captures the signal in real time and scores it for intent strength.

02

Context-Rich Message Crafted

Your AI agent generates a personalized outreach message that naturally references the signal: 'I saw you were at the SaaS Growth Summit — great event.' No generic templates.

03

Multi-Channel Outreach Begins

The prospect enters your pipeline with the signal context. Outreach flows across LinkedIn, email, and WhatsApp — all referencing the original buying signal for relevance.

0Signal Types Monitored
0xHigher Conversion Rate
0<1hrSignal-to-Outreach
0/7Always Scanning
Performance

Intent Signal Performance Metrics

Real performance metrics from Sellinger-powered intent signal detection.

~85%
Signal Accuracy
Intent detection precision rate
25-40%
Pipeline Lift
Increase in qualified pipeline
$0
Included Free
Intent signals come free with every plan
Who Uses It

Intent Signals for Every Revenue Team

Whether you're hunting enterprise accounts, running outbound for startups, or sourcing candidates, intent signals give you an unfair advantage.

Complete Platform

Combine Intent Signals with Autonomous Outreach

Intent signals tell you who's ready to buy. Sellinger's AI agents handle the outreach across LinkedIn, email, WhatsApp, voice, and live chat, closing the loop automatically.

Start Detecting Buyer Intent Today

Deploy your intent signal engine in minutes. Monitor buying signals across LinkedIn and automatically feed warm prospects into your pipeline. No credit card required for your 30-day free trial.

6

Signal Types

30 Days

Free Trial

5 min

Setup Time

FAQ

Frequently Asked Questions About Buyer Intent Signals

Everything you need to know about detecting buying signals, scoring intent, and turning engagement data into booked meetings.

What is buyer intent data?
Buyer intent data is information that signals a company or individual is actively researching or evaluating solutions like yours. These buyer intent signals include website visits to competitor pages, engagement with industry content, attendance at relevant events, hiring for roles related to your solution, and changes to their tech stack. Sellinger monitors real-time B2B intent data across LinkedIn to identify these signals automatically.
How do you use intent data for sales?
Sales teams use B2B intent data to prioritize accounts showing active buying signals, time outreach for maximum relevance, and personalize messaging based on specific intent triggers. For example, if a prospect engages with a competitor's LinkedIn post, Sellinger automatically adds them to your pipeline with a message referencing that engagement. Sales intent monitoring turns cold outreach into warm, relevant conversations.
What are B2B buying signals?
B2B buying signals include pricing page visits, hiring surges for relevant roles, competitor content engagement, industry event attendance, tech stack changes, and LinkedIn profile visits. Sellinger's buyer intent signals tool monitors six distinct signal categories on LinkedIn in real-time, scoring each signal 0-100 for purchase likelihood. Leads scoring 80+ convert to meetings at 3.2x the rate of cold outreach.
What counts as a buying signal in Sellinger?
Sellinger detects six categories of buying signals: company page engagement (likes, comments, shares on competitor or industry pages), influencer activity (engagement with thought leader posts), event and group participation, profile visits, hiring signals (relevant job postings), and tech stack changes (tool adoption or migration). Each signal is scored for buying intent strength on a 0-100 scale.
How is Sellinger different from Bombora or 6sense?
Traditional intent data providers like Bombora and 6sense track anonymous web browsing behavior across third-party publisher networks. Sellinger monitors real, identifiable LinkedIn engagement, so you know exactly who engaged with what content. Plus, intent signals automatically feed into your multi-channel outreach pipeline with signal-based messaging, so you act on intent instantly instead of exporting CSV files.
How does Sellinger compare to ClearCue for intent data?
ClearCue focuses on website visitor identification and IP-based company matching. Sellinger takes a fundamentally different approach by monitoring social engagement signals on LinkedIn, giving you individual-level intent data (not just company-level) and direct access to act on those signals through automated outreach. The two can be complementary: use ClearCue for website visitors and Sellinger for social intent.
How accurate is the intent scoring algorithm?
Sellinger's intent scoring model uses a weighted multi-factor algorithm that considers signal recency, frequency, type strength, and contextual relevance to your ICP. Profile visits and hiring signals score highest because they indicate direct purchase consideration. In testing, leads scoring 80+ convert to meetings at 3.2x the rate of leads without intent signals.
How many companies, influencers, and events can I monitor?
There are no hard limits. You can monitor as many company pages, influencer profiles, LinkedIn events, and groups as needed. Each connected LinkedIn account has a daily processing budget to ensure safety and efficiency, but most teams monitor 50-200 sources without issues.
Can intent signals automatically trigger outreach?
Yes. When a prospect triggers an intent signal, they're automatically added to your outreach pipeline. Your AI agent can begin multi-channel outreach immediately with a message that references the specific signal, for example, 'I noticed you attended the SaaS Growth Summit,' creating natural, relevant conversation starters.
Do I need LinkedIn Premium or Sales Navigator for intent signals?
Profile visit detection requires LinkedIn Premium or Sales Navigator. All other intent signal types (company page monitoring, influencer tracking, event detection, hiring signals, and tech stack changes) work with any LinkedIn account type, including free accounts.
How quickly are signals detected after they happen?
Most signals are detected within 15-60 minutes of the engagement happening. Profile visits are detected in near real-time based on LinkedIn's notification speed. Hiring signals are scanned daily. You can configure alert frequency and batch notifications to match your team's workflow.
What does intent signal pricing look like?
Intent Signals is included free with every Sellinger plan at no additional cost. There is no standalone fee or per-signal charge — every module and bundle gets full intent detection. Start a 30-day free trial to see it in action.
Can I integrate intent signals with my existing CRM?
Absolutely. Sellinger syncs intent signals and lead data with Salesforce, HubSpot, Pipedrive, and other major CRMs via native integrations. Every signal event (type, score, timestamp, and context) is pushed to your CRM as an activity or lead score update, so your entire team stays informed.
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