Overwhelmed by prospects and don't know where to start? This is one of the most common prospecting challenges: identifying who deserves your immediate attention and who can wait. Without a prioritization system, you waste time on cold leads while hot opportunities cool down. With Zeliq, track your performance in real-time, identify what actually converts, and adjust your strategy with concrete data.
Track your performance in real-time
Analytics Dashboard: Your control center
Zeliq centralizes all your prospecting metrics in a single, intuitive dashboard. No more scattered Excel sheets and rough estimates: visualize your prospecting state at a glance.
π§ Email Overview
Access instantly:
Total emails sent (this week, this month, this period)
% Emails from sequences: Measure your automation level
Emails per lead: Monitor your prospecting intensity
Inbound vs outbound emails: Assess your overall response rate
π‘ Why it matters: If your inbound/outbound email ratio is too low (< 10%), it's a strong signal that your message or targeting needs revision.
π Call Activity
Track in real-time:
Call volume made and received
Average duration of conversations
Answer rate
Inbound missed calls (hot leads to call back!)
π Weekly Evolution
Identify immediately:
Positive trends: +45% emails this week
Alerts: -79% calls vs last week
Seasonal patterns: activity peaks, slow periods
β
Sequence Performance: Identify what converts
Sequence results table
Zeliq presents essential metrics for each sequence:
Metrics | Description | Benchmark |
# Contacts | Number of leads in sequence | - |
# Emails sent | Total email volume | - |
Open rate | % of emails opened | 30-40% (good) |
Click rate | % of link clicks | 2-5% (good) |
Reply rate | % of responses received | 5-10% (excellent) |
Bounce rate | % of bounced emails | < 2% (acceptable) |
Unsubscribe rate | % of opt-outs | < 0.5% (acceptable) |
Detailed analysis per sequence
Lead statuses in sequence:
β Done: Sequence completed (analyze result)
π¬ Contact_answered: Lead replied (high priority!)
βΈοΈ Contact_unassigned: No follow-up assigned
β Error_email_empty: Missing email
β Contact_bounced: Invalid email
π« Contact_unsubscribed: Unsubscribed
β
π‘ Immediate action: Filter on "Contact_answered" to identify all leads who replied and need follow-up.
Email and LinkedIn Engagement
Detailed interaction tracking:
Email opens: Who opened, when, how many times
Link clicks: What content generates interest
Email replies: Who engages in conversation
LinkedIn replies: LinkedIn messages that convert
What Zeliq data reveals
Open Rate: What drives opens
High-performing sequence observations:
Don't start with a question: A direct hook works better
Focus on subject line and first sentence: That's your hook
Test your intros regularly: A/B testing is key to increasing opens
Zeliq Benchmark:
Average open rate: 35%
Top performers: 45-55%
Warning signal: < 20%
Click Rate: What generates interest
What works:
One single link in the middle of the message performs best
Calendly links underperform (counter-intuitive but consistent result)
Some emails get clicks from signature alone (yes, that counts!)
Recommendations:
Place one well-positioned unique link in the message body
Don't push for meetings too early: build interest first
Adjust structure and tone based on language and sector
Zeliq Benchmark:
Average click rate: 3-4%
Top performers: 8-12%
Warning signal: < 1%
Reply Rate: What triggers responses
Major insights:
Longer emails perform better: sweet spot around 190 words
One single link at end of message favors replies
Clear commercial offers = 25% reply rate vs 3% for generic follow-ups
What makes the difference:
Don't fear long emails: if it's valuable, people read
Place your link at the end if you're aiming for a human reply
Avoid bland follow-ups: always bring something new
Make a clear, direct offer when appropriate
Zeliq Benchmark:
Average reply rate: 7-8%
Top performers: 15-25%
Warning signal: < 3%
Intelligent Lead Scoring
How Zeliq prioritizes your leads
Zeliq automatically classifies each lead's intent in real-time and groups them so you know who to contact first.
β4 priority levels:
π΄ Urgent
Lead replied recently
Multiple email opens
Inbound missed call
Action required: Contact within 2h
π High
Link clicks in your emails
Repeated opening of same email
Recent activity detected
Action required: Contact within the day
π‘ Pool / Upcoming tasks
Lead in sequence
Moderate activity
Scheduled upcoming task
Action required: Follow the schedule
βͺ Waiting / Low priority
No recent activity
Unopened emails
Long-term nurturing
Action required: Maintain contact
Signals that impact the score
Email engagement:
Email open: +5 points
Multiple opens: +10 points
Link click: +15 points
Call activity:
Inbound missed call: +20 points (strong signal!)
Answered call: +10 points
Voicemail left: +5 points
Recency:
Activity within 24h: x2 coefficient
Activity within 7 days: x1.5 coefficient
Activity > 30 days: x0.5 coefficient
Dynamic Views: Organize your prospecting
Essential view examples
"Today's Priorities" View π―
Filters:
Lead scoring: "Urgent" OR "High"
Status: "New" OR "In progress"
Last activity: Last 48h
Result: Your priority actions for the day
"Hot Leads" View π₯
Filters:
Lead scoring: "High" OR "Urgent"
Last interaction date: Last 7 days
Status: β "Lost" or "Not interested"
Result: Prospects with strong engagement signals
"To Re-engage" View βοΈ
Filters:
Status: "Lead nurturing"
Last activity: > 30 days
Lead scoring: "Pool" OR "Waiting"
Result: Contacts to re-engage with new message
Manager Cockpit: Team view
For Sales Leaders
π Global Pipeline
Visualize in real-time:
Total leads by status
Distribution per SDR: who manages what
Open opportunities: proximity to goals
Conversion rate by funnel stage
π Emails and Calls
Compare performances:
Activity volume per SDR (emails, calls)
Weekly variations: +79% or -93% activity
Team benchmarks: identify top performers
Time patterns: when your team is most active
π Sequences
Analyze collective performance:
Top performing sequences: to replicate
Reply rate per SDR: targeted coaching
Best practice identification: experience sharing
Message optimization: team A/B testing
π― Conversion
Measure business impact:
Meetings booked: global and per SDR
Evolution over time: trends and patterns
Performance by segment:
Company size: startups vs SMBs vs enterprises
Position: C-level vs Managers vs Individual contributors
Industry: SaaS, E-commerce, Services...
Key insight: Focus your efforts on segments that convert best.
Context-based prioritization
By role
SDR/BDR: Focus qualified volume
Daily goals:
40 calls/day on qualified prospects (minimum "High" score)
50 emails/day via automated sequences
5 follow-ups on leads who replied
Essential views:
"Today's Priorities"
"Hot Leads"
"Performing Sequences"
Account Executive: Focus closing
Daily goals:
5 demos/day with ultra-qualified prospects
Immediate follow-up on all expressed interests
Negotiation on hot opportunities (> $5K)
Essential views:
"Open Opportunities"
"Urgent Scoring Leads"
"Meetings to Prepare"
Sales Manager: Focus team
Daily actions:
Global view of team performance via Manager Cockpit
Smart distribution of inbound leads
Data-based coaching from analytics
Identification of best practices to share
Essential dashboards:
Global pipeline
Performance per SDR
Conversion rate by segment
Must-track metrics
Individual KPIs (SDR/AE)
Volume:
Emails sent / day: 40-60
Calls made / day: 30-50
Contacts added / week: 100-200
Quality:
Open rate: > 30%
Reply rate: > 7%
Email β call conversion: > 15%
Call β meeting conversion: > 20%
Efficiency:
Average time per lead: < 10 min
Leads contacted / hour: > 8
Automated email ratio: > 70%
Team KPIs (Manager)
Collective performance:
Meetings booked / week: per goals
Pipeline generated / month: per goals
Global conversion rate: > 2%
Efficiency:
Sequence usage rate: > 80%
Data quality: < 5% bounces
Fair lead distribution: variance < 20%
Checklist: Optimal prioritization
Initial setup:
I've enabled open and click tracking
I've configured my essential dynamic views
I've defined my custom lead scoring
My CRM is synced with Zeliq
Daily routine:
I check my analytics dashboard every morning
I prioritize by lead scoring (Urgent β High)
I reply to "Contact_answered" leads as priority
I analyze my sequence performance weekly
Continuous optimization:
I test 2 message variants per month
I compare my metrics to benchmarks
I adjust my sequences based on data
I share my best practices with the team
Next steps
Now that you've mastered prioritization:
Add leads β Build your qualified pipeline
Automate your tasks β Save time on admin
Analyze your patterns β Optimize your method
π Ready to prioritize smartly?
π©πΌβπ» For further information, please do not hesitate to contact us:
