Brainforge Knowledge

linkedin-campaign-profile-viewers

19 min read

LinkedIn Outreach Campaign: Profile Viewers (Last 2 Months)

Campaign Type: Profile View Follow-Up + Mutual Intro
Date Created: 2025-01-26
Total Leads: 34
Use Case: Leads viewed Robert’s profile in last 2 months, all fit ICP
Agent: linkedin-sequence-agent

Campaign Overview

Context: All leads viewed Robert’s LinkedIn profile in the last 2 months, indicating interest. All leads fit ICP criteria.

Strategy:

  • 1st Connections (18 leads): Direct follow-up leveraging profile view
  • 2nd Connections (16 leads): Mutual intro playbook via shared connections

Timing: Start campaign immediately, stagger sends over 1-2 weeks

Lead Segmentation

1st Connections (Direct Follow-Up) - 18 Leads

  1. Katharine Lucic - Product Marketing Leader
  2. Chuck Acker - Sr. Account Executive, Optimizely
  3. Tamjeed Hur - CTO, CODE Analytics (Is hiring)
  4. Kelsey Tschoepe - Lifecycle Marketer
  5. Kristy Mayer-Mejia - Data Transformation Lead, Kraken (Is hiring)
  6. Samuel Roberts - Co-Founder & CTO, Landmark Travel
  7. Kevin Cho - Enterprise Account Executive, Snowflake
  8. Gaurav Chhaparwal - Founder, Datahash
  9. Aditya Rustgi - Product Leader
  10. Laura Sanden - Account Executive, RELEX
  11. Robert Domagala - Head of Partnerships, Smile.io
  12. Payas Parab - Data Science & Analytics, Mainstay.io
  13. Ashleigh Vogstad - CEO, Transcends
  14. Ben Feifke - Analytics & AI Consultant, Beyond Data Consulting
  15. Christian Lemp - Head of Data & Methodology
  16. Ethan Kellough - Product Leader & Founder
  17. Mike Sachs - Founder, GTM Diagnostics

2nd Connections (Mutual Intro) - 16 Leads

  1. John Kearns - Consultant, Aux Insights (Ex-Bain)
  2. Lisa Miklos-Illes - AI & Life Sciences Strategy
  3. Krish Raja - CEO & Founder (Ex Microsoft)
  4. Jakii Chu - Marketing & Growth Leader
  5. Mishelle Weinerman - Product, Aux Insights
  6. Kyle Eng - Growth Consultant, Aux Insights
  7. Ronnie Sheladiya - CEO, Webito
  8. Brandon Dennis - Co-Founder, Hermetic AI
  9. John G. - Director Digital Infrastructure
  10. Michael H. - Fractional VP of Growth
  11. Brian Byun - Founder
  12. Wes Bush - Founder, ProductLed
  13. Tal Paperin - Fractional CRO
  14. Matthew Ford - Executive Leader Strategy & Innovation
  15. Vaibhav Gupta - Co-Founder, SR NEXT
  16. Celina Wong - Head of Data

Sequence 1: Profile View Follow-Up (1st Connections)

Use Case: Lead viewed Robert’s profile - direct follow-up leveraging the view

Sequence Overview:

  • I. Initial Message (Leverage Profile View)
  • II. Value Add Follow-Up (If no response)
  • III. Soft Close (If still no response)

STEP I: Initial Message (Leverage Profile View)

Timing: Send within 24-48 hours of profile view (or immediately if starting campaign)

Option 1: Direct Profile View Reference (Data/Analytics Roles)

Hi <Lead First Name>,

Noticed you checked out my profile - appreciate the look!

I run Brainforge AI. We help growth-stage companies ($10M-$100M ARR) clean up data chaos and actually use AI. Think automated workflows, reporting that pushes dashboard insights into Slack, and faster rollouts of tools like <insert relevant tools>.

Given your role as <Role> at <Company>, I'm curious - what's your biggest data challenge right now?

Happy to share how we've helped similar companies if it's helpful.

Best,
Robert

When to Use:

  • Data/Analytics roles (Head of Data, Data Transformation Lead, Data Science & Analytics)
  • Clear data infrastructure needs
  • Growth-stage companies

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Role> - Their current role
  • <Company> - Their company name
  • <insert relevant tools> - Tools from their profile/company (Snowflake, dbt, Amplitude, Mixpanel, etc.)

Personalization Notes:

  • Reference their specific role
  • Mention relevant tools if visible on profile
  • Keep it conversational and curious

Option 2: Growth-Focused (Product/Growth/Marketing Roles)

Hi <Lead First Name>,

Saw you viewed my profile - thanks for checking it out!

I run Brainforge AI. We partner with growth-stage companies to turn data into growth leverage. Most teams we work with are dealing with conflicting numbers, analytics bottlenecks, or AI tools that aren't delivering.

Given your focus on <Growth Area> at <Company>, what's slowing down your growth right now?

Happy to share how we've helped similar companies operationalize analytics if it's useful.

Best,
Robert

When to Use:

  • Product/Growth/Marketing roles
  • Growth-focused companies
  • Companies scaling teams/channels

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Growth Area> - Their focus (product, growth, lifecycle marketing, etc.)
  • <Company> - Their company name

Personalization Notes:

  • Reference their growth focus
  • Connect to growth challenges
  • Keep outcome-focused

Option 3: Founder/CEO (Operator-Level Leaders)

Hi <Lead First Name>,

Noticed you checked out my profile - appreciate it!

I run Brainforge AI. We're the AI-powered growth partner for data-driven companies as they scale. We help operator-level leaders who already believe in data and AI, but need a partner who can move fast today without creating drag tomorrow.

Most founders we work with are dealing with scrappy data, low trust, or decisions made in spreadsheets. Sound familiar?

What's your biggest data challenge as you scale <Company>?

Happy to share how we've helped similar companies build clean, scalable foundations.

Best,
Robert

When to Use:

  • Founders, CEOs, Co-Founders
  • Operator-level leaders
  • Early-stage companies building data foundations

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Company> - Their company name

Personalization Notes:

  • Acknowledge operator-level leadership
  • Reference scaling challenges
  • Connect to startup/scale-up stage

Option 4: Hiring Signal (Is Hiring)

Hi <Lead First Name>,

Saw you viewed my profile - thanks for the look!

I run Brainforge AI. We help growth-stage companies build data functions that actually deliver. Most teams we work with are hiring because they're drowning in requests, dealing with infrastructure debt, or need to prove their data team's value.

I noticed <Company> is hiring for <Role/Team>. Are you building out a data team, or looking for a partner to help scale faster?

We've helped companies like <Relevant Case Study> build clean, scalable data foundations in 25% of the expected time. Happy to share how if it's helpful.

Best,
Robert

When to Use:

  • Hiring signals (job postings, “Is hiring” notes)
  • Building data teams
  • Companies with infrastructure needs

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Company> - Their company name
  • <Role/Team> - Role they’re hiring for (if known)
  • <Relevant Case Study> - Match to their industry (Stackblitz for SaaS, Eden for CPG, etc.)

Personalization Notes:

  • Reference hiring signal directly
  • Position as alternative to FTE hire
  • Include relevant case study

Selection Logic:

  • Data/Analytics roles → Option 1
  • Product/Growth/Marketing roles → Option 2
  • Founders/CEOs → Option 3
  • Hiring signals → Option 4
  • Unknown/General → Option 1 (default)

STEP II: Value Add Follow-Up

Timing: 5-7 business days after Step I (if no response)

Option 1: Resource Share

Hi <Lead First Name>,

Following up on my last message - wanted to share something that might be useful.

<Insert relevant resource based on their role/company>:
- For data leaders: "How we helped [Similar Company] build a single source of truth"
- For growth teams: "Product analytics strategy breakdown"
- For founders: "Building data foundations without slowing down"

<1-2 sentence value prop specific to their challenge>

If this resonates, happy to chat about how we might help <Company>.

Best,
Robert

When to Use:

  • No response to initial message
  • Want to add value before asking
  • Have relevant resource/case study

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Insert relevant resource> - Match resource to their role/industry
  • <Company> - Their company name
  • <1-2 sentence value prop> - Specific to their challenge

Personalization Notes:

  • Match resource to their role/industry
  • Keep value prop specific
  • Low-pressure CTA

Option 2: Industry Insight

Hi <Lead First Name>,

Quick follow-up - thought you might find this interesting.

We're seeing a lot of <Industry/Company Type> companies struggle with <Specific Challenge>. Most teams are dealing with <Pain Point 1> and <Pain Point 2>.

We've helped companies like <Relevant Case Study> solve this by <Solution Approach>.

Is <Company> facing similar challenges?

Happy to share more if it's helpful.

Best,
Robert

When to Use:

  • Industry-specific insights available
  • Want to show expertise
  • Can reference similar companies

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Industry/Company Type> - Their industry (SaaS, CPG, etc.)
  • <Specific Challenge> - Industry-specific challenge
  • <Pain Point 1>, <Pain Point 2> - Relevant pain points
  • <Relevant Case Study> - Industry-matched case study
  • <Solution Approach> - How Brainforge solves it
  • <Company> - Their company name

Personalization Notes:

  • Industry-specific insights
  • Reference similar companies
  • Show understanding of their challenges

Selection Logic:

  • Have relevant resource → Option 1
  • Industry-specific insights → Option 2
  • Default → Option 1

STEP III: Soft Close

Timing: 5-7 business days after Step II (if still no response)

Option 1: Final Soft Ask

Hi <Lead First Name>,

Last follow-up - I know you're busy.

If <Company> is dealing with <Specific Challenge>, we've helped similar companies solve this in <Timeframe>.

Happy to share a quick case study or jump on a 15-min call if it's helpful.

If not, no worries - appreciate your time!

Best,
Robert

When to Use:

  • Final attempt before moving on
  • Want to leave door open
  • Low-pressure close

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Company> - Their company name
  • <Specific Challenge> - Their likely challenge
  • <Timeframe> - How fast Brainforge delivers (e.g., “under a month”)

Personalization Notes:

  • Acknowledge their time
  • Keep it brief
  • Leave door open

Option 2: Breakup Message

Hi <Lead First Name>,

I'll stop following up after this - don't want to be a pest!

If <Company> ever needs help with <Specific Challenge>, we're here. We've helped companies like <Relevant Case Study> solve this.

Feel free to reach out anytime.

Best,
Robert

When to Use:

  • Want to end sequence gracefully
  • Leave door open for future
  • Professional breakup

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Company> - Their company name
  • <Specific Challenge> - Their likely challenge
  • <Relevant Case Study> - Relevant case study

Selection Logic:

  • Want to keep trying → Option 1
  • Ready to move on → Option 2

Sequence 2: Mutual Intro Playbook (2nd Connections)

Use Case: 2nd connection - leverage mutual connection for warm intro

Sequence Overview:

  • I. Request Mutual Intro (to mutual connection)
  • II. Direct Intro Message (if intro granted)

STEP I: Request Mutual Intro (To Mutual Connection)

Timing: Send to mutual connection first, before reaching out directly

Option 1: General Data + AI (Default)

Hi <Mutual Connection First Name>,

Hope you're doing well!

I noticed you're connected to <Lead First Name> at <Company>. They viewed my profile recently, and given their role as <Role>, I think there might be a good fit.

50+ elite product and growth teams use Brainforge AI to clean up data chaos and actually use AI. Think automated workflows, reporting that pushes dashboard insights into Slack, and faster rollouts of tools like <insert relevant tools>. Clients include Insomnia Cookies, Eden Health, Stackblitz and you name it!

It's dead simple: Brainforge strategies your most pressing data need, then ensures you go vision-to-solution in under a month. We provide more coverage, organization, and communication than your employee of the month. And we cut through the excuses to deliver high-ROI solutions in 25% of the expected time. Our embedded partnership model has enabled top operators at $10M+ ARR brands across AI SaaS and leading CPG companies scale towards ambitious growth targets in record time.

If this sounds interesting, I'd love to connect with <Lead First Name> and chat about supporting <Company>'s <specific use case> efforts. Just let me know if you're open to a quick intro!

I've attached a couple resources below for a deeper dive:
1. <AI Growth Sprint or Data Deep Dive Deck>
2. <Stackblitz for SaaS, Eden for CPG, ABC for services>

Thanks!
Robert

When to Use:

  • General data/AI needs
  • Not sure of specific use case
  • Broad product/growth teams
  • Default option

Placeholders:

  • <Mutual Connection First Name> - Name of mutual connection
  • <Lead First Name> - Prospect’s first name
  • <Company> - Prospect’s company name
  • <Role> - Prospect’s role
  • <insert relevant tools> - Tools from their profile/company
  • <specific use case> - Their likely use case (product analytics, data infrastructure, etc.)
  • <AI Growth Sprint or Data Deep Dive Deck> - Most relevant resource
  • <Stackblitz for SaaS, Eden for CPG, ABC for services> - Relevant case studies

Key Elements:

  • Broad positioning (50+ teams, multiple industries)
  • Value props: automated workflows, Slack insights, faster rollouts
  • Credibility: Insomnia Cookies, Eden Health, Stackblitz
  • Partnership model: embedded, 25% faster
  • Clear CTA: Request intro
  • Resources: Generic deck + industry-specific case studies

Option 2: Product Analytics Specific

Hi <Mutual Connection First Name>,

Hope you're doing well!

I noticed you're connected to <Lead First Name> at <Company>. They viewed my profile recently, and given their focus on product analytics, I think there might be a good fit.

30+ elite product and growth teams use Brainforge AI to clean up event data chaos and actually adopt AI. Think automated insights surfacing in Slack, funnel reporting that helps you identify your users' "ah-ha" moments, and faster rollouts of tools like Amplitude/Mixpanel. Clients include Insomnia Cookies, Eden Health, Stackblitz and you name it!

It's dead simple: Brainforge strategies your most pressing data need, then ensures you go vision-to-solution in under a month. Product analytics is my personal specialty, but we've been able to provide a more holistic approach with our embedded team model.

If this sounds interesting, I'd love to connect with <Lead First Name> and discuss how we can support <Company>'s product analytics efforts. Just let me know if you're open to a quick intro!

I've attached a couple resources below for a deeper dive:
1. Product Analytics Strategy Breakdown
2. Stackblitz SaaS Analytics 0-to-1 Case Study

Thanks!
Robert

When to Use:

  • Product analytics focus
  • Event data challenges
  • Using or considering Amplitude/Mixpanel
  • Product teams looking to adopt AI

Key Elements:

  • Product analytics positioning (30+ teams, event data)
  • Specific tools: Amplitude/Mixpanel
  • Personal credibility: “Product analytics is my personal specialty”
  • Embedded team model
  • Product-specific resources

Option 3: AI Growth Analytics (CPG/Growth-Stage)

Hi <Mutual Connection First Name>,

Hope you're doing well!

I noticed you're connected to <Lead First Name> at <Company>. They viewed my profile recently, and given their growth-stage focus, I think there might be a good fit.

30+ fast-growing CPG teams use Brainforge AI to clean up data chaos and actually use AI. Think clean reporting from many sources, automated workflows, and faster rollouts of tools like <insert relevant tools>. Clients include Insomnia Cookies, Javvy Coffee, Vitacoco and you name it!

Our sweet spot is as a growth-stage data partner that moves at partner speeds. And we cut through the excuses to deliver high-ROI solutions in 25% of the expected time. Our embedded partnership model has enabled top operators at $10M+ ARR brands across AI SaaS and leading CPG companies scale towards ambitious growth targets in record time.

If this sounds interesting, I'd love to connect with <Lead First Name> and chat about supporting <Company>'s growth analytics efforts. Just let me know if you're open to a quick intro!

I've attached a couple resources below for a deeper dive:
1. <AI Growth Sprint or Data Deep Dive Deck>
2. <Stackblitz for SaaS, Eden for CPG, ABC for services>

Thanks!
Robert

When to Use:

  • CPG companies
  • Growth-stage focus
  • AI/analytics needs
  • $10M+ ARR brands

Key Elements:

  • CPG-specific (30+ CPG teams)
  • CPG case studies: Insomnia Cookies, Javvy Coffee, Vitacoco
  • Growth-stage positioning
  • Partner speed emphasis
  • Embedded partnership model

Option 4: Data Infrastructure (Head of Data, CTO, Director)

Hi <Mutual Connection First Name>,

Hope you're doing well!

I noticed you're connected to <Lead First Name> at <Company>. They viewed my profile recently, and given their role as <Role>, I think there might be a good fit.

We help growth-stage companies ($10M-$100M ARR) build data foundations that actually deliver. Most data leaders we work with are dealing with conflicting numbers, analytics bottlenecks, or infrastructure debt that's slowing down their teams.

We've helped companies like <Relevant Case Study> create a single source of truth, surface growth constraints, and operationalize analytics across teams - all in 25% of the expected time.

If this sounds interesting, I'd love to connect with <Lead First Name> and chat about how we can support <Company>'s data infrastructure needs. Just let me know if you're open to a quick intro!

I've attached a couple resources below for a deeper dive:
1. Data Infrastructure Strategy Breakdown
2. <Relevant Case Study> - How we built their data foundation

Thanks!
Robert

When to Use:

  • Data infrastructure roles (Head of Data, CTO, Director Digital Infrastructure)
  • Companies building data foundations
  • Infrastructure debt challenges

Key Elements:

  • Data infrastructure positioning
  • Growth-stage focus (100M ARR)
  • Infrastructure-specific pain points
  • Infrastructure-focused resources

Selection Logic:

  • Product analytics focus → Option 2
  • CPG/Growth-stage → Option 3
  • Data infrastructure roles → Option 4
  • General/Unknown → Option 1 (Default)

STEP II: Direct Intro Message (If Intro Granted)

Timing: After mutual connection makes intro, or if you decide to reach out directly after requesting intro

Option 1: Warm Intro Follow-Up

Hi <Lead First Name>,

Thanks to <Mutual Connection First Name> for the intro!

<Mutual Connection First Name> mentioned you're dealing with <Specific Challenge>. We've helped similar companies solve this by <Solution Approach>.

<1-2 sentences about Brainforge relevant to their challenge>

Would you be open to a quick 15-minute call to see if there's a fit?

Best,
Robert

When to Use:

  • After mutual connection makes intro
  • Have specific challenge from mutual connection
  • Want to move quickly to call

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Mutual Connection First Name> - Name of mutual connection
  • <Specific Challenge> - Challenge mentioned by mutual connection
  • <Solution Approach> - How Brainforge solves it
  • <1-2 sentences about Brainforge> - Relevant value prop

Option 2: Direct Reach-Out (If Intro Not Granted)

Hi <Lead First Name>,

<Mutual Connection First Name> mentioned you might be interested in what we're doing at Brainforge.

We help growth-stage companies ($10M-$100M ARR) clean up data chaos and actually use AI. Given your role as <Role> at <Company>, I'm curious - what's your biggest data challenge right now?

Happy to share how we've helped similar companies if it's helpful.

Best,
Robert

When to Use:

  • Intro not granted but mutual connection mentioned them
  • Want to reach out directly
  • Reference mutual connection for credibility

Placeholders:

  • <Lead First Name> - Prospect’s first name
  • <Mutual Connection First Name> - Name of mutual connection
  • <Role> - Prospect’s role
  • <Company> - Prospect’s company name

Selection Logic:

  • Intro granted → Option 1
  • Intro not granted → Option 2

Lead-Specific Personalization Guide

High-Priority Leads (Perfect ICP Fit)

Kristy Mayer-Mejia (1st, Data Transformation Lead, Kraken, Is hiring)

  • Sequence: Profile View Follow-Up
  • Step I Option: Option 1 (Data/Analytics) + Option 4 (Hiring Signal)
  • Personalization: Reference “Data Transformation Lead” role, hiring signal, crypto exchange scale
  • Tools: Likely uses Snowflake, dbt, data infrastructure tools
  • Case Study: Stackblitz or similar SaaS/tech company

Christian Lemp (1st, Head of Data & Methodology)

  • Sequence: Profile View Follow-Up
  • Step I Option: Option 1 (Data/Analytics)
  • Personalization: Reference “Head of Data” authority, methodology focus
  • Tools: Data infrastructure, analytics tools
  • Case Study: Data infrastructure case study

Celina Wong (2nd, Head of Data)

  • Sequence: Mutual Intro Playbook
  • Step I Option: Option 4 (Data Infrastructure)
  • Personalization: Reference “Head of Data” authority, data infrastructure needs
  • Tools: Data infrastructure, analytics tools
  • Case Study: Data infrastructure case study

Krish Raja (2nd, CEO & Founder, Ex Microsoft)

  • Sequence: Mutual Intro Playbook
  • Step I Option: Option 1 (General) or Option 3 (Growth-Stage)
  • Personalization: Reference Microsoft background, operator-level leadership
  • Tools: Modern tech stack
  • Case Study: Growth-stage SaaS company

Tamjeed Hur (3rd, CTO, CODE Analytics, Is hiring)

  • Sequence: Profile View Follow-Up (if 1st connection) or Mutual Intro (if 2nd)
  • Step I Option: Option 1 (Data/Analytics) + Option 4 (Hiring Signal)
  • Personalization: Reference CTO role, analytics company, hiring signal
  • Tools: Analytics infrastructure, data tools
  • Case Study: Analytics/SaaS company

Industry-Specific Personalization

Aux Insights Cluster (John Kearns, Mishelle Weinerman, Kyle Eng)

  • Sequence: Mutual Intro Playbook (all 2nd connections)
  • Step I Option: Option 1 (General) or Option 2 (Product Analytics)
  • Personalization: Reference insights/consulting focus, strategic mindset
  • Tools: Analytics, insights tools
  • Case Study: SaaS/consulting company

CPG/Retail Companies:

  • Sequence: Match to connection degree
  • Step I Option: Option 3 (CPG/Growth-Stage) for mutual intro, Option 2 (Growth-Focused) for direct
  • Personalization: Reference CPG/retail challenges, lifecycle marketing
  • Tools: Shopify, Klaviyo, retail data
  • Case Study: Insomnia Cookies, Eden Health, Javvy Coffee

SaaS Companies:

  • Sequence: Match to connection degree
  • Step I Option: Option 2 (Product Analytics) for mutual intro, Option 1 (Data/Analytics) for direct
  • Personalization: Reference SaaS growth challenges, product analytics
  • Tools: Amplitude, Mixpanel, dbt, Snowflake
  • Case Study: Stackblitz, ReadMe, Default

Founders/CEOs:

  • Sequence: Match to connection degree
  • Step I Option: Option 3 (Founder/CEO) for direct, Option 1 (General) for mutual intro
  • Personalization: Reference operator-level leadership, scaling challenges
  • Tools: Match to their industry
  • Case Study: Match to their industry/stage

GSheets Template Format

Columns:

  • A: Lead Name
  • B: Company
  • C: Connection Degree (1st/2nd)
  • D: Role
  • E: Sequence Type (Profile View/Mutual Intro)
  • F: Step (I, II, III)
  • G: Option Number (1, 2, 3, 4)
  • H: Message Text
  • I: Timing/Trigger
  • J: When to Use
  • K: Personalization Notes
  • L: Status (Not Started/In Progress/Sent/Responded/Closed)
  • M: Response Date
  • N: Next Action

Example Row:

Kristy Mayer-Mejia | Kraken | 1st | Data Transformation Lead | Profile View | I | 1 | [Message] | Within 24-48h of view | Data/Analytics roles | Reference hiring signal, crypto exchange scale | Not Started | | Send Step I

Campaign Execution Checklist

Pre-Campaign

  • Review all 34 leads for accuracy
  • Identify mutual connections for 2nd degree leads
  • Gather relevant case studies/resources
  • Set up GSheets tracking template
  • Prepare personalization for each lead

Week 1: Initial Outreach

  • Send Step I to all 1st connections (18 leads)
  • Send mutual intro requests for 2nd connections (16 leads)
  • Track all sends in GSheets
  • Monitor responses

Week 2: Follow-Ups

  • Send Step II to non-responders from Week 1
  • Follow up on mutual intro requests
  • Send direct messages if intros granted
  • Track all activity

Week 3: Final Follow-Ups

  • Send Step III to non-responders
  • Final follow-up on mutual intro requests
  • Update GSheets with final status
  • Move responders to next stage

Success Metrics

Target Response Rate: 20-30% (industry average for profile viewers) Target Meeting Rate: 10-15% of responses Target Qualified Leads: 5-8 leads from this campaign

Track:

  • Response rate by sequence type
  • Response rate by connection degree
  • Response rate by role type
  • Best performing message options
  • Time to response

Notes

  • Profile View Context: All leads viewed Robert’s profile, indicating interest - leverage this in messaging
  • ICP Fit: All leads fit ICP criteria - focus on qualification and pain point discovery
  • Timing: Stagger sends over 1-2 weeks to avoid looking automated
  • Personalization: Critical for response - use role, company, and industry context
  • Resources: Have case studies and decks ready to share based on industry/role

Campaign Status: Ready to Execute
Next Action: Review and customize messages for each lead, then begin Week 1 outreach

Graph View