When neural networks entered the picture, marketing started to feel different. There was more data, higher expectations, and less time to react. AI stopped being a buzzword and simply became part of the workflow – just like Excel or Google Docs. It didn’t replace people, but it made the team stronger. Faster processes, better quality, and more focus on what really matters.
To make it easier to understand, we added a few random examples from our experience working with clients. All numbers are made up and used just to help you get the idea.
👉 Content: faster, better, without burnout
Creating content used to take weeks. Descriptions, visuals, texts, videos: all of it required full focus and a lot of energy. Now, part of the work is automated. For example, when there’s a new drop, a client might need 30 to 50 unique item descriptions. We use ML and NLP tools to generate them with details like story, style, color, and features.
Before, that would take two or three weeks. Now it takes one day.
Here’s a made-up example. Let’s say we need to describe a rare skin with a gradient finish. A person might spend 20 to 30 minutes writing it. AI handles the first draft in 60 seconds. We still go in and refine the wording to match the brand and the brief. And just to be clear — we don’t dump all the work on AI.
👉 Personalization: speaking to each user
AI helps us understand who our users are and what they care about. We analyze behavior, preferences, and activity on the site to create offers that actually work.
Here’s one fictional stat. A newsletter to a 12,000-subscriber list saw CTR rise from 3.4% to 7.9% after we used AI for segmentation and personalization.
Emails don’t feel like “spam” anymore. It no longer feels like one of those “Oh, I was just wondering about that” series. AI doesn’t solve the problem for you, but it coolly highlights details you might accidentally overlook and gently points the finger:
“There, look, your audience has changed interests, let’s pay attention to that.”
👉 External communication: clearer and calmer
Talking to bloggers, partners, and contractors can be tricky. The wrong tone, vague framing, too serious or too casual, and the message doesn’t land. We started using AI to shape our messages, adjust tone of voice, and analyze responses.
One time, AI suggested changing “We’d like to offer you an integration” to “Wow, you have an amazing YouTube channel, we are excited. Let’s do a collaboration, we think your subscribers will love it.” The response rate doubled. That number is made up, but the improvement was real.
This isn’t about not being able to write a sentence. It’s like archery. You’re still the one pulling the string, but support helps keep your hand steady.
👉 Analytics: less guessing, more clarity
We used to rely on classic tools like Google Analytics. Now, with AI, we’re spotting patterns we didn’t see before.
Here’s a hypothetical example. We had no idea that client users from France were more likely to click on fantasy-themed skins. AI picked it up. We built a landing page for these users and saw an 18 percent increase in conversions for that segment.
👉 Advertising: more accurate, less waste
We’re not just learning who clicks, but why they do it. AI helps build behavioral models, group people by interest, and target ads more precisely.
For example, one model showed that users with over 100 hours in CS:GO are more likely to engage with retro skins. We launched a focused (hypothetical) campaign and brought down CPA by 27 percent compared to the average.
👉 Email campaigns: not just emails, but results
AI helps with more than just the copy. It figures out when to send, which channel to use, and what format works best. Some prefer emails in the morning, others engage more on Wednesdays, some want WhatsApp, others only check email.
Here’s another fictional result. With timing and format personalized, email conversion went from 2.1 percent to 5.6 percent. And honestly, it feels good to know when your message will actually be welcome.
👉 Ideas and scripts: faster and sharper
We use AI as a creative assistant. It doesn’t replace our thinking, but it keeps things moving. Topics for videos, outlines, angles, titles: all of that comes together faster and more accurately, based on search trends, comments, social media, and community feedback.
AI works like a filter. Instead of five ideas we forced out at midnight, we now get 50 solid ones and pick the best three or five. It’s better to focus on finding the gold than wasting time digging through empty ground. Sometimes we even ask AI to rate and challenge our own ideas.
👉 SEO: calm, efficient, effective
AI has made SEO feel less like guesswork. It helps adapt content for the right keywords, checks for readability, and adjusts to algorithm changes.
One example. We tested three versions of the client product page. AI predicted which one would get more clicks. We ran with it, and traffic went up by 12 percent in three weeks.
The takeaway: AI isn’t magic. It’s a tool.
It doesn’t replace people. It helps them work smarter and with less stress. We save time, stay focused, and avoid burning out on repetitive tasks.
Now AI is part of everything we do — from content and analytics to creative work and email campaigns. We get why some teams still hold back. But we’ve already realized that with AI, the basic stuff becomes easier. You don’t have to repeat the same task for the thousandth time. You carefully craft the pattern, click the “submit” button and get the result that satisfies you on the first try.
Thanks for reading 🌠
