5 ways AI can improve your digital marketing

tahanakabi
November 3, 2020
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According to a 2019 study, 40% of marketing and sales teams say that AI and machine learning is critical to their success as a department. Marketing takes a ton of effort planning campaigns launching them measuring them and making small tweaks. AI can automate many of these tasks improve performance and let you get back to work on other important things like satisfying clients. Want to know how? Here are five ways you can use AI to automate and improve your marketing operations.

1. Customer Targeting And Behavior understanding

Sending all of your customers the same messages is a definite way to pour your budget down the drain. It is extremely important to determine which customer profiles generate the highest engagement and conversions. However, the internet is like a giant behavioral science laboratory but there are so many data sets that humans alone can’t possibly hope to analyze them all. Using machine learning and big data analysis AI is able to provide businesses with deep insights into their customers. Not only will businesses be able to hyper-personalize interactions but they will also be able to predict future customer behaviors based on the data collected.

2. Campaign Monitoring and automation

According to a HubSpot study, marketers spend around 16 hours per week on routine tasks. That’s nearly half of a full workweek. AI can monitor your campaigns by learning average behaviors and notify you when there is a change in response or unusual activities. These can be both positive or negative: ads driving more revenue than forecasted or declining click-through rates. This will allow you to take appropriate actions such as prioritizing the campaigns yielding the best results and notifying the appropriate team, such as analytics, sales, etc.

The proper AI algorithms can also use these campaigns and events to figure out which campaigns have best chances and what elements make a campaign more successful than others. You can train a reinforcement learning algorithm to make automatic campaigns and learn to optimize them through trial and errors.

3. Sales Forecasting

AI marketing software has the ability to use predictive analytics to forecast sales. This allows teams to work as usual while getting a glimpse of what their activities will return to them. This also prevents spending weeks to months on something before you determine that it is (or isn’t) worth scaling. Predictive analytics can use data generated from campaigns as well as market data to determine the sales trends and what people might buy and if it is the right time to sell or promote a certain product. AI predictions can also help you determine whether specific channels or strategies are contributing to reaching KPIs or missing them. If you interested in leveraging predictive analytics for sales it is suggested starting at the early stages of sales strategies development rather than later.

4. Chatbots

Chatbots are already on numerous websites as they excel at answering customers frequently asked questions. AI chatbots are leveraging technology to improve the customer journey. For some businesses there aren’t enough employees or hours in the day to answer customer queries quickly. These are AI-powered systems that communicate with humans using real-time originally generated responses. In the future I wouldn’t be surprised to see smart chatbots engaging in sales prospecting lead generation and customer service. AI-based chatbots are becoming an essential in online stores, recommending products and helping customers complete orders. Chatbot help increase conversion rates and reduce abandoned carts.

5. Content generation

AI has the potential to both curate and generate content then place it in front of the right people on the right platforms. Due to advances in natural language processing and natural language generation. AI-generated content is changing the content marketing world as we know it. Using AI, you can generate unlimited content daily and post it on different channels.

Another revolutionary content generation solution is the AI-based video makers that transform text to engaging videos with minimum efforts. This technology will reshape the video making industry and allow small businesses to thrive on social networks without spending enormous budgets on video creation.

Conclusion

Using machine learning and big data analysis AI is able to provide businesses with deep insights into their customers. Not only will businesses be able to hyper-personalize interactions but I imagine they also be able to predict future customer behaviors based on the data collected. As more AI use-cases occur we discover the most and least effective ways of applying this technology in digital marketing.