ANALYTICS & REPORTS

Analytics in Chatterpillar helps you track how your WhatsApp campaigns are performing.

It shows you:

• How many messages were sent
• How many were delivered
• How many were read
• How many failed

Why Analytics Matters

Analytics helps you:

• Understand what’s working
• Identify issues
• Improve future campaigns

Simple Example

You send 1,000 messages:

• 900 delivered
• 700 read

👉 This means your campaign is performing well.

Each message in a campaign has a status.

Common Status Types

Sent
Message has been sent from Chatterpillar

Delivered
Message reached the user’s phone

Read
User has opened the message

Failed
Message could not be delivered

Important Insight

👉 “Sent” does not mean success
👉 “Delivered” is the real benchmark

These are your most important metrics.

Delivered Messages

Indicates:

• Valid numbers
• Good database quality

Read Messages

Indicates:

• Message relevance
• Customer interest

Example

Interpretation

• Delivery Rate = 85% (Good)
• Read Rate = ~76% (Strong)

Chatterpillar provides key campaign metrics.

Metrics to Track

• Total messages sent
• Delivery rate
• Read rate
• Failure rate

Ideal Benchmarks

• Delivery Rate: 80%+
• Read Rate: 60%+

If Metrics Are Low

It usually means:

• Poor database quality
• Weak message content
• Timing issues

Not all templates perform equally.

What to Track

• Which templates get more reads
• Which ones perform poorly

Example

Template A → 70% read rate
Template B → 40% read rate

👉 Use Template A more often

Tip

Keep refining templates based on performance.

Failed messages are important signals.

Common Reasons

• Invalid phone number
• User blocked messages
• WhatsApp restrictions
• Template mismatch

What You Should Do

• Check failure reason
• Clean your database

Important

High failure rates can affect your account quality.

You can export campaign data for analysis.

Steps

1. Go to campaign report
2. Click Export
3. Download file (CSV/Excel)

Use Cases

• Share reports internally
• Analyze performance in detail
• Track campaign history

Analytics is only useful if you act on it.

If Delivery Rate is Low

✔ Clean your database
✔ Remove invalid numbers

If Read Rate is Low

✔ Improve message content
✔ Personalize messages
✔ Test different templates

If Failure Rate is High

✔ Check contact format
✔ Verify opt-in quality

Compare different campaigns to learn what works.

Example

Insight

👉 Reminder messages perform better

Action

Send more reminder-based communication

Mistake 1

Looking only at “Sent” messages

❌ Misleading

Mistake 2

Ignoring failed messages

❌ Affects quality

Mistake 3

Not improving based on data

❌ No growth

Mistake 4

Sending same message repeatedly

❌ Reduces engagement