Template Analytics

Updated June 2026 5 min read

For every template, Meta tells you how many were sent, delivered, read and clicked. Read those four numbers right and you'll know exactly what to fix.

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Quick facts

Core metrics
Sent, delivered, read, clicked
Best read signal
Read ÷ delivered
Reported by
Meta, per template
Good read rate
Often 70%+ for opted-in lists

WhatsApp template analytics are the per-template metrics Meta reports: sent (accepted by Meta), delivered (reached the phone), read (opened by the customer), and clicks (button taps). Comparing these as rates — delivered/sent, read/delivered — shows where messages drop off so you can improve subject, timing and content.

In simple language: Template analytics are the numbers Meta gives you for each template — how many were sent, delivered, read and clicked.

Who should read this?

  • Marketers measuring campaign results
  • Owners who want to know if templates work
  • Anyone confused by 'sent vs delivered vs read'

Sending templates is half the job. The other half is reading the numbers Meta gives you back, so you know what’s working and what to fix.

The four core metrics

For every template, Meta reports four counts:

MetricWhat it means
SentMeta accepted your message into its system
DeliveredThe message reached the customer’s phone
ReadThe customer opened the message
ClickedThe customer tapped a button in the message

Example: a sale template shows 1000 sent, 970 delivered, 720 read, 110 clicked. Each step is a smaller number than the one before — that’s normal.

Turning counts into rates

Raw counts can mislead you. “1000 sent” sounds great until you learn only 400 were delivered. So turn counts into rates (one number divided by another):

  • Delivered rate = delivered ÷ sent. How many actually reached phones. Low here usually means wrong or inactive numbers.
  • Read rate = read ÷ delivered. How many people opened it. Low here means a weak opening line or bad timing.
  • Click rate = clicks ÷ read. How many took action. Low here means a weak offer or unclear button.

Using the example above: delivered rate 97%, read rate 74%, click rate 15%. Now you can compare templates fairly, even when they were sent to lists of different sizes.

Reading button clicks

If your template has buttons, Meta counts clicks on them. This is your strongest signal because it measures action, not just attention.

Read   = "they saw it"
Click  = "they did something about it"

If a “Shop now” button gets clicked a lot, your offer is landing. If reads are high but clicks are near zero, the message is being seen but the call to action isn’t convincing — change the button label or the offer.

Where analytics are limited

A few things are worth knowing before you rely on these numbers:

  • Button click tracking is only available for templates in the Marketing or Utility category.
  • Analytics are not supported for WABAs or business numbers based in the EU, UK or Japan.
  • Offsite conversion metrics (app activations, checkouts, purchases) are only available with MM Lite.
  • Only daily granularity is available — you can’t break the data down hour by hour.
  • You can ask for at most 10 template IDs in a single request.

In countries with restricted Meta services

In regions where Meta services are blocked — for example Russia or China — your customers may need a VPN for the analytics features to work. Without one, tapping a URL or Quick Reply button can show a browser loading error on the customer’s end.

Turning analytics on

Template analytics are off by default. Switch them on for your WABA with a single call:

POST https://waba-v2.360dialog.io/marketing/template_analytics?enable=true
Header: D360-API-KEY

Pulling the numbers

Once enabled, fetch the data with a GET request. You pass a start and end time (as Unix timestamps), the granularity, and the template IDs you care about:

GET https://waba-v2.360dialog.io/marketing/template_analytics
    ?start=<unix_timestamp>
    &end=<unix_timestamp>
    &granularity=DAILY
    &template_ids=<id>
    &product_type=MARKETING_MESSAGES_LITE_API

Required: start, end, granularity (set to DAILY), template_ids (up to 10), and product_type.

Optional: metric_types to narrow the metrics, and use_waba_timezone to report in your account’s timezone.

Turning tracking off

If you’d rather not track clicks on a template’s URL buttons, you can opt that template out:

POST https://waba-v2.360dialog.io/v1/configs/templates/external_id?cta_url_link_tracking_opted_out=true

How to improve a template

Use the rates to aim your fixes:

  • Low delivered rate → clean your contact list; remove wrong or inactive numbers.
  • Low read rate → rewrite the first line, shorten the message, or send at a better hour.
  • Low click rate → strengthen the offer, make the button label clearer (“Get 20% off” beats “Click here”).

Example: a store saw a 30% read rate on a 9 PM blast. Moving the send to 11 AM lifted it to 68% with no copy change at all — timing alone made the difference.

Change one thing at a time, then re-check the numbers. That’s how you steadily turn an okay template into a great one.

Keep reading

Related questions people ask

What metrics does WhatsApp report for templates?

Meta reports four core metrics per template: sent (accepted by Meta), delivered (reached the phone), read (opened by the customer), and clicks (button taps).

What's the difference between sent and delivered?

Sent means Meta accepted your message. Delivered means it actually reached the customer's phone. A big gap between them usually points to wrong numbers or blocked recipients.

How do I know if my template is working?

Look at rates, not raw counts: delivered ÷ sent for reach, read ÷ delivered for attention, and clicks ÷ read for action. Low numbers tell you exactly which part to fix.

Key takeaways

  • Meta reports four metrics per template: sent, delivered, read and clicks.
  • Convert counts into rates to see where messages drop off.
  • Button clicks measure action; reads only measure attention.
Published: June 2026 Last reviewed: June 2026 Reviewed by: ChatMitra WhatsApp API Team

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