To be honest, the first time I worked in marketing, I was this close to crying.

As a marketing newbie, I followed all the “expert tips” online—post every day, stay consistent, keep pushing content.
But the conversion numbers in the backend? Completely flat.
Every day, the traffic record stayed at exactly three visitors: my boss, myself, and… my alt account.

The product was a fast-moving consumer product.
I would stare at the Facebook Ads dashboard every day, refreshing like my life depended on it, fantasizing:
“Maybe today is the day my growth curve finally explodes.”

The result?
High impressions, plenty of clicks… and conversions so low I couldn’t even bear to look.

Then one day, I finally tried using AI for audience analysis.
And the moment I saw the results, everything clicked:
“My target users aren’t even on Facebook. They’re on Instagram and TikTok.”
I literally sat in silence for three minutes.
That’s when I realized: choosing the right channel is so much more important than chasing traffic.

As I became more fascinated by marketing, I got obsessed with automation tools.
Back then, my favorite hobby was staring at dashboards—watching metrics go up and down and feeling a weird sense of fake accomplishment.
But despite all that data shifting around, I still had no idea where to optimize.

So I started using AI content-analysis tools to examine user comments and community discussions.

That’s when I finally realized:
“Users don’t care about what I want to say—they care about whether we’re solving their actual problems.”
AI not only saved me hours of manual analysis, it helped me make decisions based on their real voices, not my assumptions.

A bit more experienced, I attempted multi-channel marketing.
But my “post everywhere” strategy nearly blew myself up instead.

At that time, I truly believed:

“Doesn’t matter what platform it is—just post!”

So I copied, pasted, and blasted the same content everywhere.
The outcome?

• Engagement dropped
• Users got fatigued
• Our brand became blurry and forgettable
  And during that period, every time I saw the numbers fall, I would spiral into mental collapse until 2 a.m.

Later, I switched to using AI for A/B testing.
AI generated multiple versions of copy instantly, and all I had to do was schedule the tests, compare the backend performance, and pick the one that hit hardest.

This time, the numbers finally started rising.

Looking back, that entire “newbie era” was full of frustration.
I thought marketing relied on hard work, creativity, and posting as much as possible.

But the truth is—
Marketing runs on tools, data, methodology, and a LOT of experiments.

AI won’t make decisions for you,
but it will help you find the right direction faster.

More importantly, it frees your time for what truly matters:

• Understanding your users.
• Telling better stories.
• Creating real value.
  Now, every time I mentor a newcomer, I always say:

“Marketing isn’t about grinding — it’s about using the right tools.”

I’ve created a spreadsheet with the best marketing tools I’ve collected, along with methods for how to use them.
I’ll keep updating it. If you’re interested, follow or comment AI Marketing — I’d be happy to share it with you.