Analytics

Understand your reply metrics

Track your team’s performance and understand your reply patterns with Replyify’s analytics dashboard.

Overview Metrics

Your analytics dashboard shows key performance indicators:

Total Replies

All replies received across your connected sequencers (excluding archived).

Pending

Replies awaiting your response. Keep this number low for fast lead response times.

Sent

Total responses you’ve sent through Replyify.

Positive Rate

Percentage of replies classified as positive (Interested, Meeting Request, Question).

A healthy positive rate for cold email campaigns is typically 3-8% of total sends.

Speed to Lead

One of the most important metrics for cold email success. Track how quickly you’re responding to interested leads.

Auto Reply Speed

Average time between receiving a reply and AI sending an automated response (when using Auto-Send mode).

Benchmark: Under 5 minutes is excellent.

Manual Reply Speed

Average time between receiving a reply and you manually sending a response (drafts reviewed and sent).

Benchmark: Under 2 hours during business hours.

Overall Reply Speed

Combined average across all response methods.

Studies show responding within 5 minutes increases conversion rates by up to 21x compared to responding after 30 minutes.

Reply Categories

See the distribution of your replies by category:

Category	What it means
Interested	High intent - prioritize these
Meeting Request	Very high intent - book immediately
Question	Engaged but needs info
Not Interested	Polite pass
Out of Office	Temporary unavailable
Unsubscribe	Remove from lists
Bounce	Invalid email

Category Insights

Use category distribution to:

• Optimize targeting: High bounce rates suggest list quality issues
• Improve copy: High “Not Interested” rates may indicate messaging problems
• Measure success: Track positive rate over time

Filtering Analytics

By Client

View analytics for specific clients to compare performance:

1. Use the client filter dropdown
2. Select a client
3. All metrics update for that client only

By Date Range

Analyze specific time periods:

• Last 7 days
• Last 30 days
• Custom date range

By Connection

Track which sequencer accounts perform best:

• Compare Instantly vs EmailBison
• Identify high-performing accounts
• Troubleshoot low-engagement connections

Using Analytics

Identify Bottlenecks

1. Check pending count

   High pending count = replies not being addressed quickly

2. Review manual reply speed

   Slow speed = team may need more resources or better processes

3. Analyze category distribution

   Unexpected patterns may indicate targeting or messaging issues

Optimize Campaigns

Use analytics to improve your cold email campaigns:

1. A/B test messaging: Track positive rates across different campaigns
2. Clean your lists: Monitor bounce rates to improve deliverability
3. Refine targeting: High “Not Interested” suggests targeting issues
4. Improve timing: Analyze when replies come in to optimize send times

Report to Clients

For agencies, use analytics to demonstrate value:

• Total replies handled
• Response times achieved
• Meetings booked (Meeting Request category)
• Positive engagement rate

Export analytics data for client reporting using the API.

Data Accuracy

What’s Included

• All non-archived replies
• Replies from active connections
• Full date range of your account history

What’s Excluded

• Archived replies
• Replies from deleted connections
• Test emails (if tagged as such)

Analytics update in real-time as new replies come in and are processed.