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How Kampaign.ai Works: The Complete Platform

Signal detection, AI research, multi-channel execution, and continuous learning—all in one unified platform

Core Capability 1

Signal Detection Engine

Kampaign.ai monitors your target accounts for 15+ buying signals from specialized data providers and proprietary infrastructure. Signals are detected within hours of public announcement and scored in real-time (0-100) to prioritize which accounts need immediate action.

  • 15+ signal types monitored continuously: funding, hiring, tech changes, regulatory impacts, YouTube content, LinkedIn activity
  • Specialized data providers + proprietary infrastructure for comprehensive coverage
  • Custom signal definitions (e.g., "competitors mentioned on earnings calls")
  • Real-time scoring (0-100) - Hotness Score makes prioritization visual and objective
  • Auto-launches campaigns at configurable thresholds (e.g., 75+ score = Hot Account)

Example: FDA announces red-dye regulation → System detects signal → Identifies 127 affected food & beverage companies within 24 hours → Scores each account based on ICP fit and signal strength

Salted.com82/100
Job OpeningsYouTubeLinkedInContact Profile

Detected: Jan 8, 2026, 11:09 AM

Hot Signals Dashboard shows scored accounts with signal badges

Salted82/100 NEW

WHY NOW:

"The company is actively hiring and focusing on enhancing their branding solutions, making it an urgent time to engage as they are solving key pain points."

NEXT MOVE:

"Reach out to present how your solutions can assist in their branding and customer engagement initiatives during this critical hiring phase."

Signal Detail Panel with AI-generated context

Core Capability 2

AI Research & Content Generation

When a signal is detected, AI doesn't just flag it—it researches the account, identifies relevant contacts, generates context for why now is the right time, and drafts personalized messages for each channel.

  • Account-level research: Funding, tech stack, initiatives, recent news
  • Contact-level research: LinkedIn profiles, roles, responsibilities, recent activity
  • Multi-contact identification: Finds 3-7 relevant stakeholders per account
  • Context generation: "Why now" explanation for each contact based on signals
  • Role-aware messaging: Adapts for executives (strategic) vs. managers (operational) vs. product leaders (PMF validation)
  • Channel-specific formatting: Email (professional), LinkedIn (conversational), SMS (brief)

Example: AI analyzed FDA red-dye regulations and drafted 50 personalized emails in under 2 hours, each referencing the specific regulation impact and tailored to the recipient's role.

Core Capability 3

Multi-Channel Orchestration

One Spear creates a coordinated sequence across email, LinkedIn, and phone. All channels execute from a unified interface—no tab switching, credentials integrated once.

  • Email: Specialized domains, warmup, deliverability management
  • LinkedIn: One-time credential setup, message from platform
  • Phone: AI scripts, parallel dialer integration
  • No tab-switching workflow: Everything happens in unified interface
  • Smart time offsets: Prevents spam with 24h, 48h, 72h spacing
  • Coordinated timing: Multi-contact campaigns across 3-7 stakeholders

Example: Click "Send Spear" → AI creates 5-channel sequence: Email (0h), LinkedIn (24h), Call Script (48h), Follow-up Email (72h), SMS (96h). All personalized, all from one screen.

Generated Channels:
Email #1Pending
0h offset
LinkedIn Connection #2Pending
24h offset
Call Script #3Pending
48h offset
Follow Up Email #4Pending
72h offset
SMS #5Active
96h offset

Multi-Channel Spear Sequence with smart time offsets

Core Capability 4

Continuous Learning (The Intelligence Engine)

Every Spear you send teaches the system. This isn't manual reporting—the platform automatically adjusts its recommendations based on your results.

What the System Learns

  • Which signals lead to meetings (not just opens)
  • Which messaging resonates by role and industry
  • Which channels work best for different buyer types
  • Optimal timing and follow-up patterns

How It Improves

Hotness Scores Get Smarter

Month 1: Account with "hiring spike" signal = 75/100
Month 3: After tracking outcomes, same signal type now = 82/100 (because your data shows hiring spikes convert)

Messaging Improves Based on Replies

AI tracks which pain points get responses, which CTAs work, which subject lines perform—then applies these learnings to future Spears automatically.

Attribution & Learning Dashboard

Track the complete journey: Signal → Touch → Reply → Meeting → Pipeline → Revenue

53%
Avg Open Rate
38%
Reply Rate
$60K
Avg Deal Size
100x
ROI

Dashboard shows: campaign ROI, channel effectiveness, signal quality, and which messaging drives outcomes

Ready to See the Platform in Action?

Start your free trial and experience signal-based outreach that gets results