How to use AI to target real services that save time, budget, and nerves

How to use AI to target real services that save time, budget, and nerves
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8min.

It used to be that you had to be a designer, analyst, and shaman at the same time: manually testing creatives, guessing who your target audience is, catching patterns in metrics, and keeping dozens of hypotheses in your head. Nowadays, artificial intelligence is partially taking over all of this. But not all of it, and not always in the way that the landing page promises.

There are a lot of services. There are even more promises. And, as always, time and budget are scarce. So how can you understand which AI tools really save your budget, speed up work, and increase conversions, and which only imitate intelligence and pour water into your Dashboard?

What AI can already do in targeting in 2025

In 2025, AI in targeting will be a full-fledged participant of the process, which already takes over some of the routine, analytics, and even creativity. It is not about “it can help” – it is about “either you are with AI or your competitor is already ahead.”

Here are 4 key areas where neural networks really save time, money, and nervous system.

1. Creative generation: text, visuals, video

In 2025, this stage can be almost completely delegated to creatives and you won’t have to spend time and effort on their development on your own. AI tools such as AdCreative.ai, Canva Magic Studio or Creatopy produce a series of banners for different audiences and purposes in a few minutes.

In turn, such AI tools as CopyMonkey, Jasper, ChatGPT will help you create texts for landing pages, ads, headlines, and even scripts. And neural networks RunwayML, Pika, Lumen5 will solve the problem of creating videos from scratch or adapting ready-made videos to the TikTok, Reels, or Stories format.

The faster you test, the sooner you find something that works. The main thing is not to believe that AI will create a masterpiece, but it provides a starting base that can be finished twice as fast.

2. Audience segmentation: not “women 25-45” but “those who actually buy”

The demographic target is no longer relevant. In 2025, AI services will be able to collect segments deeper, more precisely, and less obviously.

Tools like Segment.ai, BlackCrow.ai, SparkToro analyze behavioral patterns, subscriptions, social media activity, interests, and even reactions to specific triggers.

Instead of “women 25-45, Kyiv, interest: health,” you can get a segment of “women who buy organic cosmetics, read channels about hormonal balance, and save smoothie recipes.”

This, of course, will give you a better hit from the first days, not after 10 iterations and unsuccessful attempts. 

3. Predicting results: not just metrics, but predictions

One of the most underestimated things in AI + targeting is predicting performance before launch. Yes, it sounds like a fantasy, but some services already do it.

Pattern89, Windsor.ai, Pencil use historical data from your campaigns, competitor analysis, current market trends, and visual patterns in creatives to predict which ad variant will give you the highest ROAS.

You no longer need to test 20 variants to weed out 18. You can start testing the 2 that have a chance to shoot.

Of course, this is not a guarantee of a perfect launch, but the tools will help to significantly reduce the amount of drain traffic in the first days of the campaign.

4. Campaign automation and budget optimization

You can no longer manually stop ads, change bids, and reassemble audiences, and control everything. You can give these processes to the neural network and watch how it works.

Scalify, Madgicx, Revealbot, Smartly.io are services that not only create campaigns but also monitor their effectiveness in real time, optimize bids, turn off “drain” connections, reallocate the budget, and throw up new connections based on live data.

And Meta has already built AI optimization into Advantage+, which decides where to pour the budget without asking your permission.

Top AI services for targeting: what is really worth paying attention to

Now let’s take a closer look at them, as we have sifted through a bunch of AI tools that promise “optimization, automation, and ROI magic” to check which ones really help and which ones just write beautifully on the landing page. And here’s what happened.

AdCreative.ai – for those who want to quickly assemble banners and texts for different offers.
The service generates visuals, copy, and format adaptations in several sizes at once. It is suitable when you need to launch “yesterday” and don’t have a designer.

Profiles: speed, variability, pulls up CTAs from analytics.
Cons: template design, sometimes looks “like everyone else.”
Price: from $29/month, there is a free trial.

Scalify is a tool for launching and optimizing Meta campaigns with AI tips. It is ideal for solo media buyers or small teams: you upload your creatives, choose a target, and then Scalify builds audiences, runs tests, and optimizes campaigns.

Profiles: everything in one place – from analysis to launch.
Cons: if you scale it up, it doesn’t pull out complex scenarios, not suitable for large production teams.
Price: from $49/month

Pattern89 is a service that analyzes your ads and tells you what’s wrong with your creative before you launch. AI tells you whether the face in the frame works, which color is more effective, and which text will definitely not convert. It’s not about generating, it’s about predictingperformance.

Profiles: deep analytics of visuals and text, works with data from Ads Manager.
Cons: not suitable for beginners – the interface and logic are a bit complicated.
Price: custom, from $120/month, depends on the volume.

Marpipe – for A/B tests in the style of “making 100 variants and testing everything in a day”. It is ideal if you are not just targeting, but building structures with a lot of variables: colors, fonts, messages, elements.

Profiles: automated testing, convenient visualization of results.
Cons: expensive and a bit powerful for small campaigns.
Price: from $125/month

Meta Advantage+ – if you don’t know, this is a built-in AI system in Ads Manager that independently allocates budgets, selects audiences, and optimizes campaigns on the go. In fact, it works quite well, especially for wide geo or large offers.

Profiles: native solution that does not require integrations.
Cons: little customization, it is not always clear what exactly the system did and why.
Price: free, already built into Meta Ads.

Creative Fabrica Spark – image and visual content generator for creatives.
Great for creating concepts, covers or templates for further adaptation.

Profiles: beautiful, fast, budget-friendly.
Cons: does not “think in terms of conversion categories” – that is, it works more like a designer than a media buyer.</span
Price: $9-39/month

The conclusion is simple: there is no perfect AI service for all occasions.

But when you understand what exactly you want to automate – generation, analytics, launch, or optimization – you can choose a tool that will save a lot of resources.

What to consider when choosing an AI service to avoid wasting your budget on a “beautiful wrapper”

AI is a tool. It is not magic that will “do everything by itself”. And as with any tool, the main thing is to choose the right one that works for your tasks and not just looks good in reviews. Ask yourself a few questions before depositing money.

Do you play for speed or quality?

This is a key criterion. If you need to launch quickly, without a long production process, take something that gives results “on the knee”, such as AdCreative or Meta Advantage+. If it is important for you to finalize the perfect A/B test or do deep analytics before launching, look towards Marpipe, Pattern89, or Madgicx.

Speed gives you a lot of tests. Quality gives you a higher ROAS for each. Choose what is more important now.

Are you at the start or are you already scaling?

AI services for beginners are about simplicity and low-budget accessibility. For example, Scalify or Canva Magic Design will allow you to start without a technical background. If you already have a lot of traffic and need to increase the volume, then look towards complex platforms with integrations: Madgicx, Revealbot, Smartly.io.

At the start, you shouldn’t use heavy artillery – it will simply crush you with interfaces and functionality.

Do you work solo or in a team?

It is important for a solo media buyer to have all-in-one tools: dashboard, automation, creatives, analytics – all from one account. Scalify, AdCreative, Jasper are good friends for freelancers.

But if you have a production team – designer, analyst, copywriter – then it is better to use highly specialized services that integrate into your pipeline: a separate generator, separate analytics, separate optimization.

Don’t get a “universal tool” if you already have people who do it better than AI.

Geo, language, offer

AI is not omnipotent yet. Not all services work well with Ukrainian, Russian, or Asian markets. Some services will generate perfect texts for an English-speaking audience, but in Ukrainian arbitration they will sound like a Google Translate translation from 2014.

Check it out:

  • Is there support for your language?
  • Is the service adapted to your platforms (TikTok vs Meta vs Google)
  • Is it suitable for the type of offer: gut, betting, crypto, e-com

Because there are services that are great in digital but frankly “float” when it comes to betting or adult.

AI is not a magic button, but a good way to optimize

In 2025, working without AI in targeting is like pouring traffic without analytics: technically possible, but expensive, slow, and painful.

What is important to remember:

  1. AI does not replace strategy. It speeds up routines, helps you scale, test, and save nerves – but it won’t think for you.
  2. Services are not universal. Choose not “what is popular” but “what solves your problem right now.”
  3. Handmade work is not dead yet. In some cases, handmade outperforms any neural network template. And that’s okay too.

Keep a balance: automate what doesn’t critically affect the idea, and leave control where uniqueness and accuracy are important. Successful and reasonable use of AI in your work is your competitive advantage, as it allows you to optimize resources. In this case, you will be 10 steps ahead of others.

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