It's 9 AM. Your Push CTR Dropped 40%. Now What?

9:00 AM โ€” The Alert

9:00 AM
Monday morning. Coffee in hand. You open your analytics dashboard.
Push CTR
8.2%
โ†“
40% decline
Last week: 14%
Your stomach drops. Your dashboard shows you a nice red arrow pointing down. Very helpful. Thanks.
You click around. Filter by date. Look at the chart.
Yes, it definitely went down. You can see that. But why?
Your tool doesn't know. It just counts clicks and divides by sends. That's its entire job.
So you do what everyone does: you guess.
"Maybe the copy was bad?"
You A/B tested it. Variant B won.
"Maybe we sent too many?"
Same frequency as always.
"Maybe it's the weekend effect?"
It's Monday. The drop started Wednesday.
โฐ
You're 30 minutes into your day and you have no answers. Just a number that makes you look bad in the weekly meeting.

9:30 AM โ€” The Investigation Begins

Here’s what your analytics tool showed you:

Sent: 50,000
Delivered: 42,000
Clicks: 3,444
CTR: 8.2%

Here’s what Hood shows you:

Overall CTR: 8.2%

But wait. Click on “Report Designer.” Drag “Browser name” into dimensions. Drag “CTR” into measures. Hit preview.

BrowserCTR
Chrome15.1%
Firefox14.8%
Safari3.2%
Edge13.9%

Safari is destroying your average.

Drag “OS name” next to Browser. Preview again.

BrowserOSCTR
ChromeWindows16.2%
ChromeAndroid14.1%
SafariiOS3.2%
SafarimacOS11.8%

It’s not Safari. It’s Safari on iOS specifically.

Two minutes of dragging and dropping. No SQL. No data team ticket. No waiting three days.

You found the problem.


10:00 AM โ€” Going Deeper

But why Safari iOS? Time to check delivery.

Open “Campaign Delivery Summary” from Quick Reports. Filter by the problem campaign.

Delivery Rate by Browser:

BrowserSentDeliveredDelivery Rate
Chrome28,00026,50094.6%
Safari iOS15,0009,20061.3%
Others7,0006,30090.0%

Safari iOS delivery rate collapsed.

Now you’re getting somewhere. But 61% delivered doesn’t explain 3% CTR. Even if only 61% received it, they should still click at normal rates.

Unless… they never saw it at all.

Back to Report Designer. This time, add “Provider name” and “Error code” dimensions.

ProviderError CodeCount
APNs4104,200
APNs4001,600
FCM-12

APNs Error 410: Unregistered device. The token is no longer valid.

APNs Error 400: Bad request. Something’s wrong with the payload.

4,200 of your iOS users have invalid tokens. They uninstalled, switched phones, or revoked permissions โ€” and you’re still trying to send to them.

1,600 more are failing because of a payload issue.

Your “CTR problem” isn’t a CTR problem. It’s a token hygiene problem and a payload bug.


10:30 AM โ€” The Fix

Problem 1: Invalid tokens

4,200 users with Error 410 need to be cleaned from your list. They’re gone. Stop sending to them.

In Hood, you can see exactly which profiles have invalid credentials. Clean them out. Your delivery rate will jump immediately, and your CTR will normalize because you’re not dividing by ghosts anymore.

Problem 2: Payload errors

1,600 Error 400s mean something in your push payload is malformed for iOS. Check your message โ€” maybe a special character, maybe a field that iOS doesn’t accept.

You find it: an emoji in the title that iOS 16 doesn’t render correctly, causing the notification to fail silently.

Remove the emoji. Test again.


11:00 AM โ€” The Meeting

Your weekly meeting is at 11. An hour ago, you had a 40% CTR drop and no explanation.

Now you walk in with:

“Push CTR dropped because Safari iOS delivery failed. 4,200 invalid tokens from users who churned in December, plus 1,600 payload failures from an emoji compatibility issue. Tokens cleaned, payload fixed, expect recovery by Wednesday.”

Your manager nods. Your job is safe. You look like a genius.

You’re not a genius. You just have analytics that actually tell you things.


What Made This Possible

The difference between panic and clarity was three things:

1. Dimensional analysis

Generic tools show you totals. Hood lets you slice by any combination of dimensions: browser, OS, country, campaign, provider, error code, profile age, and dozens more.

Not “CTR went down.” But “CTR went down for Safari iOS users because APNs is returning Error 410 for 4,200 profiles.”

2. Quick Reports that don’t suck

Six categories of pre-built reports, ready to filter and export:

  • Campaigns โ€” Delivery rates, performance, bounce analysis by campaign
  • Profile Growth & Engagement โ€” How your audience is growing (or shrinking)
  • Unsubscribed Profiles โ€” Who left and when
  • Top Channels โ€” Which channels actually perform
  • A/B Tests โ€” Which variants win, by segment
  • NPS โ€” Promoters, Passives, Detractors breakdown

Click. Filter. Export. No SQL required.

3. Provider error tracking

Most tools say “delivery failed.” Hood says “APNs Error 410: 4,200 failures. APNs Error 400: 1,600 failures. FCM timeout: 12 failures.”

You can’t fix what you can’t see. And generic tools don’t let you see anything useful.


The Question You Should Ask Your Analytics Tool

Next time your metrics drop, ask your dashboard one question:

“Why?”

If the answer is a blank stare and a red arrow, you have a reporting tool.

If the answer is “Safari iOS, APNs Error 410, 4,200 affected profiles, here’s the list” โ€” you have Hood.


Still guessing why your numbers move?