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Embrace Marketing Automation Back in the early

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发表于 2023-6-10 18:52:39 | 显示全部楼层 |阅读模式
Days of digital marketing, automation was the way to scale a task to the point when it becomes spammy. Marketers used automation to automatically generate content that sounded weird and submit those articles to hundreds of low-quality article directories.
These days automation means enabling you to do what you could never have done before. This includes:

Being instantly alerted of a possibly looming reputation Australia WhatsApp Number List crisis (even before anything happens),
Being able to solve your site user’s problems right away and turning them into a customer without ever involving a human being or hours of waiting for a reply
Being able to reach a customer exactly at the moment they need your product (using automated workflows)
Being able to predict trends, ups or downs in a demand for a certain product or feature, etc.

3. Examples of Innovative Marketing Automation Solutions
WebCEO offers a solid SEO tasks automation platform that automates rankings monitoring and alerts, regular SEO reporting, and competitor monitoring. It offers a white-label option allowing your agency to easily include SEO reporting into your current marketing offering:

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WebCEO offers a 14-day free trial which you can use to make sure the platform works for you!

Start your WebCEO Free Trial

Find an AI-Driven Technology Partner
Put simply, artificial intelligence (AI) is an ability of a machine to think and react as a human being would. Naturally, it also comes with an ability to self-teach itself to react differently to similar situations based on various criteria (like past experiences with the situation, emotions involved, etc.)


Artificial intelligence is taking digital marketing by storm making lots of tactics possible and accessible to small businesses, those that previously didn’t have budgets to embrace high-end technology.

These days AI is widely used for lots of purposes, including:

Intelligent product recommendations (think: Amazon) that rely on what a customer is likely to buy in the future rather than what they bought in the past. In other words, AI-powered product recommendations “guess” what a person may want prior to that person knowing.

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