Oct 31, 2025

Outreach ROI: A Simple Model to Attribute Pipeline per Channel (With Examples)

You're spending hours on LinkedIn, sending emails, making calls, and posting on freelance platforms. But which channel actually generates revenue? Which activities are wasting time?

Most companies can't answer these questions because they don't track the connection between outreach efforts and revenue outcomes. They know they sent 500 LinkedIn messages last month, but they don't know if those messages generated $0 or $50,000 in revenue.

This article presents a simple model for tracking outreach ROI by combining time tracking with CRM attribution. You'll learn how to calculate cost per lead by channel, compare sales rep performance, and make data-driven decisions about where to invest your outreach efforts.

Why Outreach ROI is So Hard to Track

The Attribution Problem

Traditional outreach tracking tells you activity metrics:

LinkedIn messages sent: 500
Emails sent: 1,200
Calls made: 150
Platform proposals submitted: 45

But it doesn't tell you outcomes:

Which channels generated leads?
What did those leads cost to acquire?
Which leads became customers?
What revenue came from each channel?

Without this connection, you're flying blind.

The Time Cost Invisibility

Even if you track leads by source, most companies miss the time cost:

Scenario:

LinkedIn generates 20 leads per month
Cold email generates 15 leads per month

Which is better? You can't tell without knowing:

How much time went into LinkedIn outreach?
How much time went into email campaigns?
What's the true cost of each lead?

Reality Check:

LinkedIn: 40 hours → 20 leads = 2 hours per lead
Email: 10 hours → 15 leads = 0.67 hours per lead

Email is 3x more efficient—but you'd never know without tracking time.

The Rep Performance Mystery

Your team has three sales reps:

Sarah: 30 leads generated this month
Mike: 25 leads generated
Alex: 20 leads generated

Sarah wins, right? Not necessarily:

With ROI Tracking:

Sarah: 30 leads, 80 hours invested = 2.67 hours/lead, $120 cost/lead
Mike: 25 leads, 50 hours invested = 2.0 hours/lead, $90 cost/lead
Alex: 20 leads, 30 hours invested = 1.5 hours/lead, $68 cost/lead

Alex is actually most efficient despite generating fewer leads.

The Simple ROI Model Framework

The Five-Step Process

Step 1: Track Time on Outreach Activities Log hours spent on each outreach channel

Step 2: Tag Every Lead by Source Mark leads with originating channel in CRM

Step 3: Calculate Cost Per Lead Time investment × cost per hour / leads generated

Step 4: Track Lead-to-Customer Conversion Monitor which leads become paying customers

Step 5: Calculate Revenue Per Channel Attribute customer revenue to original outreach source

The Key Metrics

Input Metrics (What You Invest):

Time spent per channel (hours)
Cost per hour (salary + overhead)
Total investment per channel ($)

Output Metrics (What You Get):

Leads generated per channel (#)
Customers acquired per channel (#)
Revenue generated per channel ($)

Efficiency Metrics (ROI):

Cost per lead ($)
Cost per customer ($)
Revenue per hour invested ($)
ROI percentage (%)

Step 1: Track Time on Outreach

Setting Up Time Tracking by Channel

Create time tracking projects for each outreach channel:

Channel Projects:

📱 Outreach - LinkedIn
📧 Outreach - Cold Email
📞 Outreach - Cold Calling
💼 Outreach - Upwork/Freelancer
🌐 Outreach - Other Platforms

Task-Level Granularity: Within each channel project, track specific activities:

Research and prospecting
Writing/crafting messages
Sending and managing conversations
Follow-ups and relationship building
Administrative (list building, CRM updates)

How to Track Consistently

Real-Time Tracking: Start timer when beginning outreach work, stop when switching tasks.

Example:

9:00 AM - Start timer: "Outreach - LinkedIn"
9:00-9:30: Research target prospects (30 min)
9:30-10:15: Write and send connection requests (45 min)
10:15-10:45: Respond to messages (30 min)
10:45 AM - Stop timer
Total: 1h 45min tracked to LinkedIn Outreach

Batch Tracking: If real-time isn't practical, log time at end of each day:

Today's outreach:
- 2 hours on LinkedIn prospecting
- 1 hour on email campaign
- 45 minutes follow-up calls

Mobile Tracking: Use mobile app or Telegram bot for on-the-go tracking:

/track Outreach - LinkedIn
(work for 30 minutes)
/stop

Weekly Time Analysis

Review time investment weekly to ensure tracking accuracy:

Weekly Outreach Time Report:

Week of Nov 6-10:

LinkedIn Outreach:      8.5 hours
Cold Email:             4.0 hours  
Cold Calling:           6.5 hours
Platform Outreach:      3.0 hours
-----------------------------------
Total Outreach Time:   22.0 hours

Questions to Ask:

Does this match my perception of where time went?
Am I tracking all outreach activities?
Are there hidden time sinks not being tracked?

Step 2: Tag Leads by Source

Creating Lead Source System

When creating contacts in CRM, tag them with outreach source:

Source Tags:

LinkedIn Connection Request
LinkedIn InMail
Cold Email - Campaign [Name]
Cold Call - List [Name]
Upwork Proposal
Freelancer.com Proposal
Referral - [Source]
Website Inbound
Event/Conference
Other

Implementation in CRM: When adding new contact:

Contact: John Smith
Company: Acme Corp
Email: [email protected]
Source: LinkedIn Connection Request
Source Date: 2024-11-08
Rep: Sarah Johnson

Tracking Source Throughout Lifecycle

The source tag follows the contact through entire lifecycle:

Contact → Lead → Opportunity → Customer

This allows revenue attribution back to original outreach.

Example Flow:

Day 1: LinkedIn connection request (source tagged)
Day 3: Became lead (source preserved)
Day 15: Created deal in pipeline (source inherited)
Day 45: Became customer - $5,000 MRR (revenue attributed to LinkedIn)

Multi-Touch Attribution (Advanced)

For complex sales with multiple touchpoints, track all interactions:

Simple Model: First-touch attribution

Revenue credited to initial outreach source

Advanced Model: Multi-touch attribution

LinkedIn connection: 40% credit
Follow-up email: 30% credit
Demo call: 30% credit

Most businesses should start with first-touch attribution and graduate to multi-touch once they have baseline data.

Step 3: Calculate Cost Per Lead

The Cost Per Lead Formula

Cost Per Lead = (Time Invested × Hourly Cost) / Leads Generated

Example:

Time on LinkedIn: 20 hours
Sales rep hourly cost: $45/hour
Leads generated: 15

Cost Per Lead = (20 hours × $45) / 15 leads
              = $900 / 15
              = $60 per lead

Determining Hourly Cost

Method 1: Salary-Based

Annual Salary: $75,000
+ Benefits (30%): $22,500
+ Overhead (20%): $15,000
= Total Cost: $112,500

÷ Working hours (2,080)
= $54/hour

Method 2: Simplified Use standard multipliers:

Junior rep: $35-45/hour
Mid-level rep: $45-65/hour
Senior rep: $65-95/hour

Method 3: Team Average If tracking multiple reps, use team average cost:

Total team salary + overhead / Total team hours

Calculating by Channel

Track cost per lead for each outreach channel:

November Example:

LinkedIn:
- Time: 32 hours
- Cost: 32 × $50 = $1,600
- Leads: 22
- Cost/Lead: $73

Cold Email:
- Time: 15 hours  
- Cost: 15 × $50 = $750
- Leads: 18
- Cost/Lead: $42

Cold Calling:
- Time: 25 hours
- Cost: 25 × $50 = $1,250  
- Leads: 12
- Cost/Lead: $104

Platform Outreach:
- Time: 10 hours
- Cost: 10 × $50 = $500
- Leads: 8
- Cost/Lead: $63

Insights:

Cold email most cost-effective at $42/lead
Cold calling most expensive at $104/lead
LinkedIn and platforms in middle range

Step 4: Track Lead-to-Customer Conversion

Conversion Rate by Channel

Not all leads are equal. Track conversion rate from lead to customer:

Conversion Tracking:

Channel: LinkedIn
Leads Generated: 22
Opportunities Created: 12 (55% conversion)
Customers Won: 4 (33% of opportunities, 18% of leads)

Full Funnel by Channel:

LINKEDIN:
Outreach → Lead: 22
Lead → Opportunity: 12 (55%)
Opportunity → Customer: 4 (33%)
Overall: 18% lead-to-customer

COLD EMAIL:
Outreach → Lead: 18
Lead → Opportunity: 8 (44%)
Opportunity → Customer: 3 (38%)
Overall: 17% lead-to-customer

COLD CALLING:
Outreach → Lead: 12
Lead → Opportunity: 8 (67%)
Opportunity → Customer: 3 (38%)
Overall: 25% lead-to-customer

Key Insight: Cold calling generates fewer leads but higher conversion rate (25% vs. 17-18%).

Customer Acquisition Cost (CAC)

Calculate cost to acquire a customer by channel:

CAC = Cost Per Lead / Lead-to-Customer Conversion Rate

Example:

LinkedIn:
$73 per lead / 18% conversion = $406 CAC

Cold Email:
$42 per lead / 17% conversion = $247 CAC

Cold Calling:
$104 per lead / 25% conversion = $416 CAC

Despite higher cost per lead, cold calling has competitive CAC due to higher conversion rate.

Tracking in CRM

Set up your CRM to track this automatically:

Deal Pipeline Stages:

1. Lead (from outreach)
2. Qualified (initial conversation)
3. Opportunity (proposal stage)
4. Customer (won)

Automated Metrics: Track conversion rate at each stage by source:

Source → Lead conversion
Lead → Qualified conversion
Qualified → Opportunity conversion
Opportunity → Customer conversion

Step 5: Calculate Revenue Per Channel

Revenue Attribution Model

Attribute all customer revenue back to original outreach source:

First-Year Revenue Attribution:

Customer: Acme Corp
Source: LinkedIn Connection Request
Deal Size: $10,000
First Year Value: $10,000
Attributed to: LinkedIn Channel

Lifetime Value Attribution:

Customer: Acme Corp  
Source: LinkedIn
Monthly Recurring: $1,000
Expected Lifetime: 36 months
LTV: $36,000
Attributed to: LinkedIn Channel

ROI Calculation

Calculate return on investment for each channel:

ROI = (Revenue Generated - Cost Invested) / Cost Invested × 100%

November LinkedIn Example:

Investment:
- Time: 32 hours × $50 = $1,600

Returns (First Year):
- 4 customers acquired
- Average deal: $8,000
- Total revenue: $32,000

ROI = ($32,000 - $1,600) / $1,600 × 100%
    = $30,400 / $1,600 × 100%
    = 1,900% ROI

Revenue Per Hour Invested

Another useful metric: revenue generated per hour of outreach:

Revenue Per Hour = Total Revenue / Hours Invested

Channel Comparison:

LinkedIn:
$32,000 revenue / 32 hours = $1,000/hour

Cold Email:
$24,000 revenue / 15 hours = $1,600/hour

Cold Calling:
$30,000 revenue / 25 hours = $1,200/hour

Platform Outreach:
$12,000 revenue / 10 hours = $1,200/hour

Insight: Cold email generates highest revenue per hour invested ($1,600/hour), despite moderate cost per lead.

Comparing Sales Rep Performance

Individual Rep Metrics

Track the same metrics for each sales team member:

Sarah's Performance:

Total Time: 80 hours
Leads Generated: 45
Cost Per Lead: $89 (80 × $50 / 45)
Customers: 8
CAC: $500 (80 × $50 / 8)
Revenue: $72,000
ROI: 1,700%
Revenue/Hour: $900

Mike's Performance:

Total Time: 65 hours
Leads Generated: 35
Cost Per Lead: $93
Customers: 7  
CAC: $464
Revenue: $63,000
ROI: 1,840%
Revenue/Hour: $969

Alex's Performance:

Total Time: 50 hours
Leads Generated: 28
Cost Per Lead: $89
Customers: 7
CAC: $357
Revenue: $70,000
ROI: 2,700%
Revenue/Hour: $1,400

Performance Insights

Volume vs. Efficiency:

Sarah generates most leads (45) but lowest revenue/hour ($900)
Alex generates fewer leads (28) but highest revenue/hour ($1,400)
Alex has lowest CAC ($357) and highest ROI (2,700%)

Coaching Opportunities:

Sarah: Focus on lead quality over quantity
Mike: Solid all-around performance, maintain consistency
Alex: Best practices to share with team

Channel Specialization

Analyze which reps perform best on which channels:

Rep Performance by Channel:

LinkedIn:
- Sarah: $950/hour, 19% conversion
- Mike: $1,100/hour, 21% conversion
- Alex: $1,450/hour, 26% conversion
→ Alex specializes in LinkedIn

Cold Email:
- Sarah: $1,600/hour, 18% conversion
- Mike: $1,400/hour, 16% conversion
- Alex: $1,200/hour, 15% conversion
→ Sarah specializes in email

Cold Calling:
- Sarah: $850/hour, 22% conversion
- Mike: $1,300/hour, 28% conversion
- Alex: $1,100/hour, 24% conversion
→ Mike specializes in calling

Strategic Allocation: Direct reps to channels where they're most effective.

Real-World Examples by Channel

Example 1: LinkedIn Outreach ROI

Company: B2B SaaS, selling to marketing directors Rep: Jennifer Time Period: One month

Activity:

Week 1-2: Prospecting and research
- Identified 200 target profiles
- Time: 6 hours

Week 2-3: Connection requests and messaging
- Sent 150 connection requests (75% accept rate)
- Sent 112 personalized first messages
- Time: 10 hours

Week 3-4: Conversations and follow-ups
- 45 conversations initiated
- 28 deeper conversations
- 15 qualified leads
- Time: 12 hours

Total Time: 28 hours

Results:

Leads Generated: 15
Opportunities: 8 (53% conversion)
Customers: 3 (38% opp conversion, 20% lead conversion)

Cost Analysis:
- Time: 28 hours × $55/hour = $1,540
- Cost per lead: $103
- Cost per customer: $513

Revenue:
- 3 customers × $12,000 average = $36,000
- ROI: 2,238%
- Revenue per hour: $1,286

Optimization Insights:

Connection accept rate (75%) is strong
Message-to-conversation rate (40%) could improve
Opportunity-to-customer rate (38%) excellent

Example 2: Cold Email Campaign ROI

Company: Marketing agency Rep: David Time Period: One month

Activity:

Week 1: List building and research
- Built list of 500 e-commerce stores
- Verified emails, enriched data
- Time: 4 hours

Week 2: Campaign setup and launch
- Wrote 5-email sequence
- Set up campaign automation
- Time: 3 hours

Week 3-4: Managing responses
- 85 replies (17% reply rate)
- 42 positive responses
- 18 qualified leads
- Time: 6 hours

Total Time: 13 hours

Results:

Leads Generated: 18
Opportunities: 9 (50% conversion)
Customers: 4 (44% opp conversion, 22% lead conversion)

Cost Analysis:
- Time: 13 hours × $50/hour = $650
- Cost per lead: $36
- Cost per customer: $163

Revenue:
- 4 customers × $5,000 average = $20,000
- ROI: 2,977%
- Revenue per hour: $1,538

Optimization Insights:

17% reply rate is excellent (industry avg: 8-12%)
50% positive-to-qualified needs improvement
Low time investment makes this high-leverage channel

Example 3: Cold Calling ROI

Company: Business consulting firm Rep: Marcus Time Period: Two weeks

Activity:

Week 1: List building and preparation
- Identified 100 target companies
- Researched decision makers
- Prepared talk tracks
- Time: 3 hours

Week 2: Calling campaign
- Made 84 calls (reached 31 people)
- Had 31 conversations
- 12 qualified leads
- Time: 14 hours

Total Time: 17 hours

Results:

Leads Generated: 12
Opportunities: 9 (75% conversion!)
Customers: 4 (44% opp conversion, 33% lead conversion)

Cost Analysis:
- Time: 17 hours × $60/hour = $1,020
- Cost per lead: $85
- Cost per customer: $255

Revenue:
- 4 customers × $15,000 average = $60,000
- ROI: 5,782%
- Revenue per hour: $3,529

Optimization Insights:

37% reach rate (31/84 calls) is strong
39% conversation-to-qualified (12/31) excellent
75% lead-to-opportunity conversion outstanding
High revenue/hour despite time-intensive nature

Example 4: Platform (Upwork) Outreach ROI

Company: Web development agency Rep: Lisa Time Period: One month

Activity:

Week 1-4: Continuous platform activity
- Reviewed 45 job postings
- Submitted 22 proposals
- Had 15 client conversations
- Won 8 projects
- Time: 18 hours (proposal writing: 12h, calls: 6h)

Total Time: 18 hours

Results:

Leads Generated: 15 (response conversations)
Opportunities: 11 (73% - high since pre-qualified)
Customers: 8 (73% opp conversion, 53% lead conversion!)

Cost Analysis:
- Time: 18 hours × $45/hour = $810
- Platform fees: $150 (Upwork connects)
- Total cost: $960
- Cost per lead: $64
- Cost per customer: $120

Revenue:
- 8 customers × $4,500 average = $36,000
- Less platform fees (10%): -$3,600
- Net revenue: $32,400
- ROI: 3,275%
- Revenue per hour: $1,800

Optimization Insights:

22 proposals → 15 conversations (68% response) strong
53% lead conversion extremely high (platform pre-qualification)
Must factor in platform fees for true ROI
Lower project values but higher conversion rate

Building Your Attribution Dashboard

Essential Metrics to Track

Weekly Dashboard:

=== OUTREACH PERFORMANCE - Week of Nov 6 ===

TIME INVESTMENT:
LinkedIn:        8.5 hours
Cold Email:      4.0 hours
Cold Calling:    6.5 hours
Platform:        3.0 hours
---
Total:          22.0 hours

LEADS GENERATED:
LinkedIn:        6 leads ($71/lead)
Cold Email:      5 leads ($40/lead)
Cold Calling:    4 leads ($81/lead)  
Platform:        2 leads ($75/lead)
---
Total:          17 leads ($65/lead avg)

OPPORTUNITIES CREATED:
LinkedIn:        3 opps (50% conv)
Cold Email:      2 opps (40% conv)
Cold Calling:    3 opps (75% conv)
Platform:        2 opps (100% conv)
---
Total:          10 opps (59% conv)

CUSTOMERS WON:
LinkedIn:        1 customer
Cold Email:      1 customer
Cold Calling:    1 customer
Platform:        1 customer
---
Total:          4 customers ($14,000 total value)

ROI:
Investment:     $1,100 (22 hours × $50)
Revenue:        $14,000
ROI:            1,173%
Rev/Hour:       $636

Monthly Trend Analysis

Track month-over-month performance:

===COMPARE THIS IS LINK WE=== MONTHLY TRENDS ===

                Oct     Nov     Change
LinkedIn:
  Time:         28h     32h     +14%
  Leads:        18      22      +22%
  Cost/Lead:    $78     $73     -6%
  Customers:    3       4       +33%
  Revenue:      $24k    $32k    +33%

Cold Email:
  Time:         12h     15h     +25%
  Leads:        14      18      +29%
  Cost/Lead:    $43     $42     -2%
  Customers:    2       3       +50%
  Revenue:      $16k    $24k    +50%

Cold Calling:
  Time:         22h     25h     +14%
  Leads:        10      12      +20%
  Cost/Lead:    $110    $104    -5%
  Customers:    2       3       +50%
  Revenue:      $20k    $30k    +50%

Setting Up Automated Reporting

CRM Configuration:

Create custom field: "Lead Source"
Make field required when creating contacts
Set up deal pipeline to preserve source
Create reports filtered by source

Time Tracking Integration:

Create project per outreach channel
Track all outreach time to these projects
Run time reports grouped by project
Export for ROI calculations

Automated Reports: Schedule weekly/monthly reports showing:

Time by channel
Leads by source
Conversion rates by source
Revenue by original source
ROI by channel

Common Mistakes and How to Avoid Them

Mistake #1: Not Tracking Time Consistently

Problem: Forgetting to track time, estimating hours later, inconsistent tracking.

Impact: Inaccurate cost calculations, can't identify efficient channels.

Solution:

Make time tracking a habit (start work = start timer)
Use mobile app for on-the-go tracking
Review time daily to catch missed entries
Set reminders to track time

Mistake #2: Failing to Tag Lead Sources

Problem: Adding leads to CRM without tagging source.

Impact: Can't attribute revenue, impossible to calculate ROI.

Solution:

Make source field required in CRM
Create dropdown with specific sources (not free text)
Train team on importance of source tagging
Audit CRM weekly for untagged leads

Mistake #3: Only Tracking Activity Metrics

Problem: Measuring "LinkedIn messages sent" instead of "revenue from LinkedIn."

Impact: Optimizing for activity volume, not results.

Solution:

Track full funnel: activity → leads → customers → revenue
Focus on outcome metrics (revenue, ROI) not input (messages sent)
Compare efficiency (revenue/hour) not just volume

Mistake #4: Ignoring Lead Quality Differences

Problem: Treating all leads equally regardless of conversion rate or deal size.

Impact: May optimize for channels generating low-quality leads.

Solution:

Track conversion rate by source
Monitor average deal size by source
Calculate customer lifetime value by source
Use weighted scoring (lead quality × quantity)

Mistake #5: Too Short Time Horizon

Problem: Judging channel ROI after one week or month.

Impact: Missing long sales cycles, abandoning channels too early.

Solution:

Allow 3-6 months for meaningful data
Track leading indicators (meetings, proposals)
Consider typical sales cycle length
Don't abandon channels prematurely

Mistake #6: Not Comparing Fairly

Problem: Comparing established channel (12 months data) to new channel (1 month data).

Impact: Unfair comparison, wrong decisions.

Solution:

Compare similar time periods
Account for ramp-up time in new channels
Look at trends, not just snapshots
Normalize for experience and optimization level

30-Day Implementation Guide

Week 1: Set Up Tracking Infrastructure

Day 1-2: Time Tracking Setup

Create outreach channel projects
Set up mobile app for tracking
Brief team on time tracking importance
Test tracking workflow

Day 3-4: CRM Configuration

Add "Lead Source" field
Create source dropdown options
Make field required
Train team on tagging process

Day 5-7: Baseline Data Collection

Start tracking time consistently
Tag all new leads by source
Review first week's data
Adjust process based on feedback

Week 2: Historical Data Entry

Day 8-10: Backfill Recent Leads

Review leads from past 90 days
Add source tags where known
Document any patterns noticed
Calculate preliminary metrics

Day 11-14: Cost Calculations

Determine hourly cost for each rep
Calculate time investment by channel (past month)
Compute cost per lead by channel
Create baseline dashboard

Week 3: Revenue Attribution

Day 15-17: Customer Source Mapping

Review all customers from past 6 months
Attribute to original lead source
Calculate revenue by channel
Identify data gaps

Day 18-21: ROI Calculations

Calculate channel-level ROI
Compute revenue per hour by channel
Compare rep performance
Document initial insights

Week 4: Optimization and Automation

Day 22-24: Report Automation

Set up weekly time reports
Create CRM dashboards by source
Schedule automated reports
Share dashboards with team

Day 25-28: Initial Optimizations

Review findings with team
Identify low-ROI activities to reduce
Identify high-ROI activities to increase
Set channel allocation targets

Day 29-30: Process Refinement

Document SOPs for tracking
Create team training materials
Schedule weekly review meetings
Set 90-day goals by channel

Using ROI Data to Make Decisions

Scenario 1: Channel Allocation

Data:

LinkedIn: $1,000/hour revenue, 18% conversion
Cold Email: $1,600/hour revenue, 17% conversion
Cold Calling: $1,200/hour revenue, 25% conversion

Decision: Shift time allocation:

Increase cold email (highest revenue/hour)
Maintain cold calling (highest conversion)
Reduce LinkedIn (lowest revenue/hour)

New Allocation:

Previous: 40% LinkedIn, 30% Email, 30% Calling
New: 25% LinkedIn, 45% Email, 30% Calling

Scenario 2: Rep Specialization

Data:

Sarah: Best at email ($1,600/hr)
Mike: Best at calling ($1,300/hr)
Alex: Best at LinkedIn ($1,450/hr)

Decision:

Sarah focuses 60% time on email campaigns
Mike focuses 60% time on cold calling
Alex focuses 60% time on LinkedIn outreach
Everyone maintains 40% on their secondary channels

Expected Impact: 20-30% improvement in overall team efficiency by playing to strengths.

Scenario 3: Budget Justification

Data:

Current: 2 sales reps
Investment: 160 hours/month × $50 = $8,000
Revenue: $120,000/month
ROI: 1,400%

Proposal: Hire third sales rep

Projection:

New: 3 sales reps
Investment: 240 hours/month × $50 = $12,000
Projected Revenue: $180,000/month (conservative)
Projected ROI: 1,400%
Additional Profit: $56,000/month

Use ROI data to justify headcount increase.

Scenario 4: Channel Testing

Hypothesis: Podcast outreach might be effective for our audience.

Test Plan:

Investment: 20 hours over 30 days
Expected Cost: $1,000
Break-Even: 1 customer ($10,000 average)
Success Threshold: 2+ customers ($20,000+)

Decision Framework:

If <1 customer: Abandon channel
If 1 customer: Break-even, test longer
If 2+ customers: Scale investment

Conclusion: From Guesswork to Data-Driven Outreach

Tracking outreach ROI transforms sales from guesswork into science. By combining time tracking with CRM attribution, you can:

Answer Critical Questions:

Which channels generate the most revenue?
What's the true cost to acquire a customer?
Which sales reps are most efficient?
Where should we invest more time?
Which activities should we eliminate?

Make Better Decisions:

Allocate time to highest-ROI channels
Specialize reps on their strengths
Justify headcount and budget requests
Test new channels with clear success criteria
Optimize based on data, not hunches

Improve Performance:

20-30% efficiency gains from channel optimization
15-25% improvement from rep specialization
10-40% cost reduction from eliminating low-ROI activities
2-3x ROI improvement over 6-12 months

The Simple Truth: You can't improve what you don't measure. Start tracking outreach ROI today, and within 90 days you'll have the data to make significantly better decisions about where to invest your sales team's time.

Ready to Track Your Outreach ROI?

Start your free trial of Corcava and get everything you need to track outreach ROI: time tracking, CRM with lead source attribution, automated reporting, and revenue analytics.

With Corcava, you get:

Time Tracking integrated with outreach activities
CRM with Source Attribution for every lead
Deal Pipeline that preserves source data
Automated Reports showing time, leads, and revenue by channel
Team Performance Analytics comparing rep efficiency
Revenue Attribution tracking back to original outreach
Custom Dashboards for ROI tracking
Mobile Apps for on-the-go time tracking

All for $9 per user per month. No complex setup, no data analyst required, no expensive consulting.

Start Free Trial → Track Time → Tag Sources → Calculate ROI

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Want to know which outreach channels actually generate revenue? Start tracking ROI today with integrated time tracking and CRM attribution.