How Valley Captures LinkedIn Profile Viewers
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How Does Valley Identify and Track LinkedIn Profile Viewers?
Someone viewing your LinkedIn profile signals active interest—they're researching you, evaluating your background, or considering reaching out. Yet most professionals never systematically engage profile viewers, letting these warm leads disappear into LinkedIn's 90-day history limitation.
Valley captures profile viewers continuously and converts them into outreach campaigns automatically. The platform monitors who views your profile in real-time, tracks view frequency and patterns (identifying repeat viewers with higher intent), enriches viewer data with company and role information, qualifies viewers against your ICP, and initiates personalized outreach campaigns referencing the profile views.
This systematic approach ensures you never miss warm leads already demonstrating interest by researching your background.
Why Profile Viewers Represent High-Intent Prospects: Unlike random cold contacts, profile viewers took specific actions indicating interest: they searched for you or found you through content, they invested time reviewing your background, they're evaluating whether to connect or engage, and they're actively researching in your space.
These behavioral signals predict conversion likelihood far better than any demographic data. Someone viewing your profile three times this week is exponentially more likely to take a meeting than someone whose LinkedIn profile matches your ICP but who has never heard of you.
Valley recognizes this intent hierarchy and prioritizes profile viewers accordingly in campaign creation and outreach sequencing.
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What Information Does Valley Capture About Profile Viewers?
Understanding what Valley tracks about profile viewers helps you leverage this data for effective personalization and prioritization.
Viewer Identity and Profile Data: Valley captures full LinkedIn profile information for each viewer: name and current job title, company name and size, industry and location, LinkedIn profile URL, profile headline and summary, and connections and mutual connections.
This data enables immediate ICP qualification without manual research.
Viewing Behavior Patterns: Valley tracks how viewers interact with your profile: number of times viewed (once vs. repeat views), dates and times of each view, duration spent on your profile (when available), which sections they focused on (experience, skills, recommendations), and whether they viewed your profile before or after specific events (post publication, content engagement, connection with colleagues).
View frequency and recency indicate intent strength—someone viewing your profile three times in one week shows far higher interest than someone who viewed once six months ago.
Viewer Source and Context: When possible, Valley identifies how viewers found your profile: LinkedIn search (what keywords they likely used), post engagement (viewed profile after seeing your content), company page (came from your company's page), mutual connection's network, or LinkedIn recommendation/suggestion.
This context informs messaging personalization—viewers coming from post engagement can be referenced differently than those finding you through search.
Associated Signals: Valley connects profile views with other signals when available: did they also engage with your posts?, did they visit your website?, are they following your company page?, did they engage with competitor content?, and have they shown multiple signal types over time?
Multi-signal prospects receive higher priority since they demonstrate sustained interest across multiple touchpoints.
Company and Role Context: Beyond individual data, Valley enriches with company-level information: company size and growth trajectory, recent funding or news, technology stack, hiring patterns, and competitive positioning.
This enrichment enables sophisticated personalization referencing why they might be interested based on their company's situation.
How to Set Up Valley's Profile Viewer Campaigns?
Effective profile viewer campaigns require configuration that balances capturing all relevant viewers while filtering out noise from irrelevant traffic.
Step 1: Enable Continuous Profile Monitoring Activate Valley's profile viewer tracking through the campaign setup interface. Choose continuous monitoring (Valley checks for new viewers every few hours) or batch import (manual CSV upload if you prefer periodic review).
Continuous monitoring ensures immediate capture of viewers while interest is fresh.
Step 2: Configure View Threshold Requirements Not all profile views warrant outreach. Set minimum requirements: single view minimum (reach out to anyone who views once), 2+ views (only engage repeat viewers showing sustained interest), or 3+ views (highest-intent prospects only).
Most teams start with 2+ view threshold to focus on prospects demonstrating more than casual interest.
Step 3: Define ICP Qualification Criteria Configure which viewer characteristics qualify for outreach: target job titles and seniority, company size ranges, industry focus, geographic requirements, and technology stack indicators.
Valley automatically excludes viewers who don't meet these criteria even if they meet view thresholds.
Step 4: Set Up Exclusion Rules Ensure Valley excludes certain viewer categories: competitors in your space, existing customers and partners, recruiters and agencies (often high-volume viewers), students and job seekers, and anyone on your DNC list.
These exclusions prevent wasted outreach and potential awkward situations.
Step 5: Configure Time Windows Define how recent views must be to trigger campaigns: views within past 7 days (very fresh interest), views within past 30 days (recent interest), or views within past 90 days (LinkedIn's maximum history).
Fresher views convert better—most teams focus on the past 7-14 days for optimal response rates.
Step 6: Create Viewer-Specific Messaging Messages should acknowledge the profile view naturally: "I noticed you checked out my LinkedIn profile—glad to connect" (single view), "I saw you've viewed my profile a couple times this week—seems like relevant timing" (repeat views), or "Noticed you've been following my profile and content—wanted to reach out personally" (multiple signals).
Valley's AI generates these references automatically based on view patterns.
Step 7: Enable Automatic Campaign Launch or Manual Review Decide whether Valley should automatically add qualified viewers to outreach campaigns or present them for manual review before campaign launch.
Automatic launch maximizes speed-to-contact. Manual review provides control for teams wanting to verify qualification before outreach.
Proper configuration ensures profile viewer campaigns deliver consistent pipeline from prospects already researching you.
How Does Valley Personalize Messages to Profile Viewers?
Generic profile viewer outreach wastes the opportunity these signals provide. Valley's AI generates contextual messages that acknowledge the view while adding relevant value.
View Frequency Personalization: Valley adjusts messaging based on how many times the prospect viewed your profile:
Single view: "I noticed you checked out my LinkedIn profile recently. [Based on your role/company], I thought you might be interested in [relevant topic]. Worth connecting?"
Two views: "Saw you viewed my profile a couple times—seems like there might be relevant overlap between what you're working on at [Company] and what we help teams accomplish. Want to explore?"
Three or more views: "I noticed you've checked out my profile several times this week. Clearly something resonated. I'd love to understand what you're working on and see if there's a fit. Quick call this week?"
Higher view frequency enables more direct messaging since the prospect has demonstrated sustained interest.
Timing-Based References: Valley notes when views occurred relative to other events:
Viewed after post engagement: "I saw you viewed my profile after engaging with my post about [topic]. That suggests [topic] might be top-of-mind for you. Want to discuss how we help teams tackle that challenge?"
Viewed after website visit: "Noticed you checked out both our website and my LinkedIn profile yesterday. I'd love to share how we're helping companies like [Company] achieve [relevant outcome]."
Viewed around company news: "I saw you viewed my profile right around the time [Company] announced [funding/expansion/initiative]. If you're evaluating solutions as part of that growth, I'd love to share some relevant insights."
Temporal context adds specificity that demonstrates attention and care.
Role and Company Personalization: Valley combines view signal with prospect research:
"I noticed you checked out my profile. Given your role leading sales ops at [Company], I thought you'd be interested in how we're helping similar teams [specific value prop relevant to sales ops]."
This personalization goes beyond acknowledging the view—it demonstrates you understand why they might care.
Multi-Signal Acknowledgment: When viewers have shown other signals, Valley references the full pattern:
"I saw you viewed my profile, engaged with my post about [topic], and someone from [Company] checked out our pricing page this week. Seems like you're actively evaluating LinkedIn outbound solutions. Want to see how we approach this differently than the tools you're likely considering?"
Acknowledging multiple signals demonstrates comprehensive attention while highlighting their buying intent.
Question-Based Hooks: For prospects showing strong signals, Valley can open with questions that invite response:
"I noticed you've viewed my profile three times this week. What specifically are you researching about LinkedIn outbound automation?"
This direct approach works well for high-intent prospects who are clearly evaluating solutions.
The key: personalization should feel natural and non-creepy, acknowledging the view as normal professional behavior while using it as a conversation starter rather than making it the entire message.
How to Prioritize Profile Viewers Based on Intent Signals?
Not all profile viewers show equal buying intent. Valley's prioritization framework helps you focus on viewers most likely to convert.
View Frequency Scoring: Single view: Low priority (score 3/10) - might be casual research, accidental click, or recruiter screening Two views: Medium priority (score 6/10) - demonstrates some sustained interest Three or more views: High priority (score 9/10) - clear active research and evaluation
Repeat views within short timeframes (same day or consecutive days) indicate highest urgency.
Time Decay Factors: Views in past 48 hours: Highest priority (multiply score by 1.5x) Views in past 7 days: High priority (standard scoring) Views in past 30 days: Medium priority (multiply score by 0.75x) Views older than 30 days: Low priority (multiply score by 0.5x)
Fresher signals convert better than stale ones—prioritize accordingly.
ICP Fit Multiplication: Perfect ICP fit (role, company, industry all match): Multiply score by 2x Strong ICP fit (most criteria match): Multiply score by 1.5x Partial ICP fit (some criteria match): Multiply score by 1x Weak ICP fit (minimal criteria match): Multiply score by 0.5x
Even high-frequency viewers don't matter if they don't fit your target market.
Additional Signal Bonuses: Also engaged with your posts: Add 20 points Also visited your website: Add 25 points Also follows your company page: Add 15 points Also engaged with competitor content: Add 30 points Multiple of the above: Compound bonuses
Multi-signal prospects demonstrate the highest intent—prioritize them above single-signal viewers.
Company Trigger Events: Recent funding announcement: Add 25 points New executive hire in relevant department: Add 20 points Expansion or new office opening: Add 15 points Product launch or rebrand: Add 15 points Hiring spree (multiple open positions): Add 20 points
Trigger events create buying urgency—viewers from companies with triggers deserve elevated priority.
Final Priority Tiers: Tier 1 (Score 80+): Immediate personalized outreach, often manual from sales rep Tier 2 (Score 50-79): Automated but highly personalized Valley campaign Tier 3 (Score 30-49): Standard Valley outreach campaign Below 30: Add to content audience, exclude from direct sales outreach
This scoring framework ensures your team focuses efforts on profile viewers with highest conversion probability.
What Results Can You Expect From Valley's Profile Viewer Campaigns?
Profile viewer campaigns typically deliver Valley's strongest performance metrics because you're reaching prospects who already demonstrated interest.
Response Rate Benchmarks: Single view prospects: 4-6% response rate Two-view prospects: 8-12% response rate Three or more views: 15-25% response rate Multi-signal prospects (views + other signals): 25-35% response rate
These rates dramatically exceed cold outreach (1-2% response) because you're engaging prospects already familiar with you.
Qualification Rates: Not all profile viewers fit your ICP, but qualification rates exceed cold prospecting: 40-50% of profile viewers meet basic ICP criteria, 20-30% qualify as "best fit" prospects, 60-70% of repeat viewers (2+ views) meet ICP requirements, and 80%+ of multi-signal prospects qualify.
Profile viewing behavior self-selects for relevance—people research profiles related to their challenges.
Meeting Conversion: Profile viewer campaigns convert to meetings efficiently: 2-3% of single-view prospects book meetings, 5-8% of repeat viewers book meetings, 10-15% of multi-signal prospects book meetings, and time-to-meeting averages 3-7 days from first outreach.
The shortened timeline reflects existing awareness—you're not building interest from zero.
Pipeline Quality: Meetings from profile viewer campaigns tend to close at higher rates than cold-sourced meetings: prospects have self-educated on your background, they've demonstrated research initiative, they often understand your positioning better than cold prospects, and they typically progress faster through sales stages.
Volume Expectations: Profile viewer volume depends on your LinkedIn activity level: low activity (occasional posts, < 500 connections): 5-15 qualified viewers monthly, moderate activity (weekly posts, 500-2000 connections): 20-50 qualified viewers monthly, high activity (multiple posts weekly, 2000+ connections, thought leadership): 50-150+ qualified viewers monthly.
Growing your LinkedIn presence compounds profile viewer campaign results over time.
Most customers find profile viewer campaigns deliver the highest ROI of any Valley campaign type; strong volume from sustained LinkedIn presence combined with excellent conversion rates from warm interest.
► Check Out More of Valley's Incredible Outreach: A compilation of real time messages and responses!
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