Data is one of the most valuable assets in marketing. The information it contains greatly helps us appropriately segment our audience, identify areas where we need to improve our strategy, and better plan our actions. However, extracting valuable information from the data we obtain is the only way for it to be useful. Doing this manually is very time-consuming, which is why it’s important to use data management tools in digital marketing to help us streamline the process.
But among the tools of this type on the market, those powered by AI are truly valuable, as they can analyze vast amounts of data and connect them to draw conclusions that less advanced tools can’t. Therefore, in this article, we want to tell you about some AI data management tools and the different uses you can give them in your digital marketing strategy. Implementing them in your company will greatly help you design much more successful actions.
How to use AI in data management in digital marketing
1. Predictive analysis to anticipate trends
Predictive analytics involves predicting future behaviors and trends by analyzing historical data. In marketing, specifically, it’s a great resource for understanding how consumers might behave and anticipating market trends.
Predictive AI, unlike other predictive analytics tools, can analyze vast amounts of historical data and identify complex patterns and correlations, allowing it to offer more accurate and sophisticated predictions. It can even perform this analysis in real time, allowing businesses to take immediate action.
There are many AI tools in marketing for predicting trends. HubSpot, for example, uses AI to assist with lead qualification in its lead scoring tool. It makes it easier and more accurate to identify the most promising leads (those most likely to convert) and thus prioritize them.
2. Personalization of the customer experience, one of the best ways to use AI for data management in digital marketing
Customer experience personalization involves tailoring brand content, offers, and communications to each user based on their needs, preferences, and behaviors. It’s a strategy that aims to create a more satisfying and relevant experience for customers, leading them to trust the brand more, feel more comfortable with it, and strengthen their relationship.
Artificial intelligence, by being able to analyze large volumes of data in real time, can identify and track user behavior and recommend products tailored to their tastes and preferences more precisely. This is also closely related to customer segmentation, where AI can perform what is known as hypersegmentation and create highly specific audience groups that allow for greater personalization of the customer experience.
GetResponse, for example, is a tool that, among other features, can recommend products on your e-commerce site using AI. By using this platform on your online store, visitors see product suggestions based on their preferences. You can even tailor offers to each visitor so that no two have the same experience on your website. This way, you can increase conversions and implement cross-selling and upselling more easily.
3. Task automation through data management in digital marketing with AI
Marketing automation involves delegating tasks and activities that are typically repetitive or mechanical to platforms to streamline work and free up teams. However, with the development of AI, marketing automation tasks have been refined, and increasingly complex processes can now be automated.
Emailing, social media management, audience segmentation (as mentioned above), data analysis… The possibilities for automation with AI are vast.
Salesforce CRM has integrated Artificial Intelligence into its platform for its marketing automation capabilities, providing one of the best examples of how to put data to work for marketing.
4. Optimization of advertising campaigns
Artificial Intelligence can also help you continuously improve your advertising campaigns, both before they are launched and once they are up and running, to maximize their effectiveness and increase their ROI.
For example, AI can analyze which types of ads are generating the most engagement with a specific audience segment and allocate more of the total investment budget to them.
For your Google-managed campaigns, for example, the company has designed Smart Bidding, an AI that refines the platform’s bidding strategies so you get more conversions and increase the value of each one. It also allows you to adapt bids to unique contexts such as location, devices, language, time of day, and more.
5. Sentiment analysis and social listening
Social listening involves monitoring what users are saying on social media and other online platforms, generally to find out what they think about your brand, your competitors, and the industry in general.
For this practice to be effective, it must be done consistently. This will allow the brand to know at all times whether the public has a positive or negative opinion of its brand, what aspects stand out as positive and negative, anticipate potential reputational crises, identify market trends, and gain a closer understanding of its competitors.
Thanks to Artificial Intelligence, social listening has been able to go a step further and be complemented by sentiment analysis. This strategy consists of identifying the emotions behind the comments left by users. This allows us to more accurately determine whether the audience’s perception of the brand is more positive, negative, or neutral. Furthermore, AI has also made this type of analysis unprecedentedly accurate.
The Hootsuite social media management platform includes, among its many features, a social listening tool capable of implementing data analytics with AI. One of the most interesting aspects of the tool is that it presents the data and results obtained from social listening in a simple, clear, and intuitive way, making it easy for the entire team to understand.
6. Compliance with data management regulations in digital marketing
As you may already know, it’s very important for your business to manage data in digital marketing (and everything related to your company) in compliance with current legislation. One of the most important laws in this regard is the EU General Data Protection Regulation, which establishes how user data should be collected, stored, processed, and shared.
This can be tedious work, but AI can also help make it a little easier, as there are platforms that monitor your databases and detect breaches or manage user consent. There are even some that can clarify and protect data.
Microsoft Purview is one of the best examples of tools that integrate AI into data management. It’s designed to protect your data and ensure it complies with regional regulations. It’s actually quite comprehensive.
