Stop Treating LinkedIn Signals Like Noise

Valley tracks 4 proven signal sources that indicate LinkedIn buying interest:

1. Website Visitors

Prospects who visit your company website, especially pricing or product pages, then receive contextual LinkedIn outreach referencing their research.

2. LinkedIn Post Engagers

People who like, comment, or save your LinkedIn content get follow-up messages that reference the specific post they engaged with.

3. Sales Navigator URLs

Copy/paste your filtered prospect searches from Sales Navigator into Valley for enhanced targeting with AI research.

4. CSV Uploads

Upload existing prospect lists and Valley enriches them with signal data and qualification scoring.

Valley's advantage: Instead of guessing who might be interested, you're messaging people who've demonstrated interest through their actions.

The AI Research That Changes Everything

Here's what most LinkedIn tools miss: Signals without context are just notifications.

Valley's AI research agents analyze every signal to understand:

• Why someone engaged (company context, timing, pain points)

• What they're researching (solution category, competitive analysis)

• How ready they are to buy (ICP fit, budget indicators, urgency signals)

Example Valley research output:

"Prospect liked your post on compliance automation 2 days after their company announced Series B funding. Recent hiring suggests operations scaling challenges. High ICP fit - 200 employees, fintech vertical, expanding into regulated markets."

This context transforms generic outreach into intelligent conversation starters.

Valley vs Signal-Based Alternatives

Valley's signal advantage: Only platform that detects signals, researches context, and converts interest into meetings through intelligent outreach.

The Signal-to-Pipeline Workflow

Step 1: Signal Collection (Automated)

Valley monitors your defined signal sources and automatically identifies prospects showing buying behavior. Maximum 500 prospects per campaign ensures quality focus.

Step 2: AI Research & Qualification

Valley's AI analyzes each signal:

• Researches prospect and company context

• Scores ICP fit against your criteria

• Combines multiple signals for stronger qualification

• Excludes public profiles and competitors automatically

Step 3: Contextual Message Generation

Valley crafts personalized LinkedIn messages using:

• Specific signal that triggered inclusion (post engagement, website visit)

• Company value proposition from your Studios setup

• Tone matching based on your writing style

• Relevant research insights for context

Step 4: Message Approval & Launch

Review generated messages in Valley's Training Center with ability to:

• Regenerate messages with different approaches

• Edit for minor adjustments

• View prospect details and qualification scores

• Approve final messaging before LinkedIn outreach

Step 5: LinkedIn-Safe Execution

Messages sent within LinkedIn safety parameters:

• Never exceed 25 daily volume limit

• Open vs closed profile detection for deliverability

• Dedicated IP protection prevents restrictions

• Built-in delays and smart scheduling