


Saniya Sood
Let's break down exactly what data matters for AI SDR outreach, why it matters, and how to use it effectively.
Understanding the Three Pillars of Outreach Data
The Identity Pillar
Think of this as your prospect's professional DNA. It's not just about their current role – it's their entire professional story:
The Behavioral Pillar
This is your prospect's digital body language. What are they actually doing online?
The Intent Pillar
These are the signals that indicate readiness to buy:
Breaking Down Key Data Categories
Professional Context
Beyond the basics of title and company:
Company Dynamics
Understanding the business environment:
Industry Insights
Showing you understand their world:
Creating Context-Rich Messages
The Pain Point Template
The Value-First Template
The Insight Template
Understanding Response Triggers
Timing Signals
Look for these key indicators:
Budget cycles
Fiscal year ends
Technology renewal periods
Growth phases
Market changes
Engagement Patterns
Track these interaction types:
Content downloads
Website visits
Social interactions
Email opens
Event participation
The Psychology of Personalization
Trust Building
Value Recognition
Problem Alignment
Common Mistakes to Avoid
Data Overuse
❌ "I see you've visited our pricing page 3 times this week..." ✅ "Given your interest in [solution area], I thought you might find this relevant..."
Shallow Personalization
❌ "Congrats on your work anniversary!" ✅ "Your progression from [previous role] to leading [specific initiative] is impressive..."
Timing Misalignment
❌ Generic outreach without context ✅ "With your recent announcement about [specific change], this might be particularly relevant..."
Ready to transform your outreach with data-driven personalization?
Valley helps you leverage these insights at scale, combining advanced intent tracking with human-like personalization to deliver conversations that convert.
Book a demo to see how we can help you achieve predictable pipeline generation through personalized outreach.

