How AI Helps in Creating Content for Online Ads

In today's digital world, online ads are a key element of marketing strategies. Artificial intelligence (AI) is revolutionizing the process of creating ad content, offering tools that increase efficiency, save time, and improve campaign results. In this article, we will discuss how AI supports the creation of online ads, with practical examples and code.

1. Generating Ad Content

AI can automatically generate ad content, tailoring it to different target groups. Tools like Copy.ai and Jasper use language models to create attractive headlines, product descriptions, and calls-to-action.

Example Code: Generating an Ad Headline

from transformers import pipeline

# Initializing the text generation model
generator = pipeline('text-generation', model='distilgpt2')

# Generating an ad headline
prompt = "Write an attractive ad headline for a new smartphone:"
result = generator(prompt, max_length=50, num_return_sequences=3)

for i, output in enumerate(result):
    print(f"Headline {i+1}: {output['generated_text']}")

2. Personalizing Ads

AI allows for the personalization of ads, tailoring them to individual user preferences. By analyzing behavioral and demographic data, AI can create personalized messages, increasing the chances of conversion.

Example Code: Personalizing Ad Content

def personalize_ad(user_data):
    if user_data['age'] < 25:
        return "New smartphone for young and active people!"
    elif 25 <= user_data['age'] <= 40:
        return "Smartphone for professionals – top performance."
    else:
        return "Smartphone for experienced users – simplicity and functionality."

user_data = {'age': 30, 'interests': ['technology', 'gaming']}
print(personalize_ad(user_data))

3. Optimizing Ads

AI can analyze ad campaign results and optimize content in real-time. Tools like Google Ads and Facebook Ads Manager use machine learning algorithms to tailor ads for the best results.

Example Code: Analyzing Campaign Results

import pandas as pd

# Example ad campaign data
data = {
    'ad_id': [1, 2, 3, 4],
    'clicks': [100, 150, 200, 250],
    'conversions': [10, 15, 20, 25]
}

df = pd.DataFrame(data)
df['CTR'] = (df['clicks'] / df['clicks'].sum()) * 100
df['conversion_rate'] = (df['conversions'] / df['clicks']) * 100

print("Campaign results analysis:")
print(df[['ad_id', 'CTR', 'conversion_rate']])

4. Generating Visual Ad Elements

AI can also help in creating visual ad elements, such as banners and graphics. Tools like Canva and Adobe Sensei use algorithms to automatically generate graphic designs.

Example Code: Generating an Ad Banner

from PIL import Image, ImageDraw, ImageFont

# Creating an ad banner
width, height = 800, 400
image = Image.new('RGB', (width, height), color='white')
draw = ImageDraw.Draw(image)

# Adding text
font = ImageFont.truetype('arial.ttf', 40)
text = "New smartphone – best offers!"
text_width, text_height = draw.textsize(text, font=font)
x = (width - text_width) / 2
y = (height - text_height) / 2
draw.text((x, y), text, fill='black', font=font)

# Saving the banner
image.save('ad_banner.png')

5. A/B Testing

AI can automatically conduct A/B tests, comparing different ad versions and selecting the best solutions. Tools like Optimizely and VWO use algorithms to optimize ad content.

Example Code: A/B Testing

import random

def run_ab_test(variant_a, variant_b, num_tests):
    results = {'variant_a': 0, 'variant_b': 0}

    for _ in range(num_tests):
        variant = random.choice(['variant_a', 'variant_b'])
        if variant == 'variant_a':
            results['variant_a'] += 1
        else:
            results['variant_b'] += 1

    return results

variant_a = "New smartphone – best offers!"
variant_b = "Smartphone for professionals – top performance."
results = run_ab_test(variant_a, variant_b, 1000)

print("A/B test results:")
print(f"Variant A: {results['variant_a']} clicks")
print(f"Variant B: {results['variant_b']} clicks")

Summary

Artificial intelligence significantly facilitates the process of creating ad content, offering tools for generating, personalizing, optimizing, and testing ads. Thanks to AI, marketers can focus on strategies rather than routine tasks, which translates into better campaign results. As AI technology develops, its role in marketing will become even more significant, opening new opportunities for ad creators.