This Email Deliverability Case Study begins with a common problem.
Great campaigns. Strong offers. Clean design.
Yet emails were landing in spam.
Open rates were falling. Revenue was shrinking. Marketing efforts were being wasted.
The company was sending over 120,000 emails per month. However, nearly half never reached the inbox.

Here were the numbers:
In other words, almost one out of every two emails was invisible.
That changed within eight weeks.
By implementing a structured deliverability strategy using Mailozar, we improved inbox placement by 40%, reduced spam complaints by 60%, and doubled open rates.
This case study explains exactly how we did it — step by step.
Before we improved anything, we audited performance.
The findings were clear.
| Metric | Before |
|---|---|
| Inbox Placement | 52% |
| Open Rate | 14% |
| Spam Rate | 18% |
| Bounce Rate | 9% |
The business assumed the issue was content.
It was not.
The real problem was email infrastructure and sender reputation.
At this stage, sending more emails would only make things worse.
So we looked deeper.
To improve email deliverability, you must understand why it is failing.
Here were the root causes.
SPF was partially configured.
DKIM was not aligned properly.
DMARC policy was set to “none.”
This tells mailbox providers that the sender cannot fully prove identity.
Without authentication, trust drops.
And when trust drops, emails go to spam.
The domain was only three months old.
No structured email warm-up had been done.
Suddenly sending 20,000 emails per day from a cold domain is a red flag.
Mailbox providers interpret this as suspicious behavior.
There was no consistent sending pattern.
Some days: 3,000 emails.
Other days: 25,000 emails.
That volatility damages sender reputation.
Consistency builds trust. Spikes destroy it.
The email list had:
As a result:
Mailbox providers monitor these signals closely.
There was no inbox placement testing.
No spam score analysis.
No sender reputation monitoring.
The team was essentially flying blind.
That is where Mailozar came in.
Improving deliverability requires structure.
We implemented a step-by-step framework using Mailozar’s deliverability tools.
Authentication is non-negotiable.
Using Mailozar’s guided setup:
✔ SPF was corrected and aligned
✔ DKIM was properly configured
✔ DMARC policy moved from “none” to “quarantine”
✔ Domain alignment issues were fixed
Impact:
Authentication alone improved inbox placement by 8%.
Email warm-up builds reputation gradually.
We reduced sending volume dramatically.
Then increased it slowly over 4 weeks.
Warm-up strategy included:
Mailozar’s warm-up tracking ensured no abnormal spikes.
Impact:
List hygiene directly affects deliverability.
We cleaned the database by:
✔ Removing hard bounces
✔ Suppressing inactive users (90+ days)
✔ Removing role-based emails
✔ Segmenting by engagement level
After cleaning, the list size dropped by 18%.
But performance improved immediately.
Impact:
Sending fewer but better emails is always smarter.
Before sending campaigns, we tested emails for spam triggers.
Mailozar identified:
We optimized content accordingly.
Impact:
Inbox placement testing showed where emails landed:
Instead of guessing, we measured.
We adjusted:
This continuous optimization helped increase inbox placement rate significantly.
Deliverability is not a one-time fix.
We continuously monitored:
Mailozar’s monitoring dashboard allowed proactive action before damage occurred.
After eight weeks, the difference was measurable.
| Metric | Before | After |
|---|---|---|
| Inbox Placement | 52% | 92% |
| Open Rate | 14% | 28% |
| Spam Rate | 18% | 7% |
| Bounce Rate | 9% | 3% |
| Spam Complaints | Reduced by | 60% |
That is a 40% improvement in deliverability.
But the impact did not stop there.
Higher inbox placement means more visibility.
More visibility means more engagement.
Within two months:
Deliverability is directly linked to revenue.
Many businesses believe their problem is:
But often, the real issue is infrastructure.
If emails do not reach the inbox, nothing else matters.
This case study proves that:
Deliverability is not luck.
It is a system.
If you are struggling with spam issues, remember:
Set up SPF, DKIM, and DMARC properly.
Without it, inbox placement suffers.
Never send high volumes from a cold domain.
Build trust gradually.
Remove inactive users regularly.
Engagement drives inbox placement.
Reputation can decline quickly.
Tracking metrics prevents sudden drops.
It requires maintenance.
Testing.
Optimization.
Consistency.
This approach works best for:
If you send thousands of emails monthly, deliverability tools are essential.
Mailozar is especially helpful for teams that:
Most improvements appear within 2–6 weeks. Full sender reputation recovery may take 8–12 weeks, depending on damage level.
A healthy inbox placement rate is 85% or higher. Top-performing senders achieve 90%+ consistently.
Yes. Gradual warm-up builds trust with mailbox providers. Sudden volume spikes damage reputation.
This Email Deliverability Case Study shows one clear lesson.
If your emails are going to spam, the solution is not sending more emails.
It is fixing the foundation.
With proper authentication, structured warm-up, list cleaning, and continuous monitoring, we improved inbox placement from 52% to 92%.
That is a 40% deliverability increase.
And it is achievable.
If your emails are not reaching the inbox, it is time to fix the root cause — not just increase volume.
Audit your deliverability.
Measure your inbox placement.
And build a system that protects your sender reputation long term.