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4 Key Differences Between AI-based Marketing and Marketing Automation Marketing Automation improves the process of running campaigns while AI-based marketing increases the accuracy of each campaign

By Ajay Kashyap

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It is good to use buzz words like Artificial Intelligence (AI) and Marketing Automation, but often these words seem to be confused with each other. It is a common error that we would like to address here.

Think of a car which has an auto-start button versus a self-driven car. That's exactly the difference between "marketing automation' and "AI-based marketing'. Marketing Automation is automation of marketing tasks which is optimal and replaces a basic repetitive task with a digital solution. AI-based marketing, on the other hand, takes the template approach to the next level by adapting and transforming to mimic human intelligence.

Summarizing the 4 Main Differences Between These Terms:

What They Offer

Marketing Automation: Process automation: Gives you a set of rules that defines segments of your audience, and then enables easy segment-based campaigns, data consolidation and reporting.

AI-based marketing: Intelligence automation: Real-time learning system that runs on sophisticated algorithms. This ensures that each piece of content is "machine'-crafted, though mimicking "hand'-crafted for each of its customers, thus leading to high accuracy at an individual level in each campaign.

Value Additions

Marketing Automation: Enables ease of deploying campaigns: Enables the marketer/merchandiser to frequently change the rules based on A/B testing of targeting, new industry trends or new product range.

AI-based marketing: Increases efficacy of each campaign: The deep learning algorithm enables the marketer/merchandiser to identify hidden patterns in real-time and then use them to target each individual with the most personalized and relevant products/ services/ communication.


Marketing Automation: Based on rules: Runs on rules that define segments in order to run targeted campaigns. AI-based marketing: Breaker of the rules: 1 to 1 targeting that is based on the machine learning that is the result of all the historical data ingested by the program.


Marketing Automation: Increased speed: The ease of automated marketing tools is that you can create a large number of segments defined by rules. This ensures speed in marketing campaigns. AI-based marketing: Increased accuracy: The ever learning algorithms increase the accuracy of targeting, resulting in much higher take-up.

Final Take Away

Marketing Automation improves the process of running campaigns. While it as few shortcomings, automation definitely makes it easy to start and execute multiple campaigns. AI-based marketing, on the other side, increases the accuracy of each campaign. A front-runner in the technology wave, its algorithms can potentially give a new backbone to your e-commerce business communications.

Ajay Kashyap



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