How to Use AI in Digital Marketing
What is AI for marketing?
Artificial Intelligence enables organizations to improve their overall marketing efforts. AI can automate your everyday marketing tasks like scheduling and sending emails or predicting campaign performance. It also goes even further by personalizing experiences for both marketers and consumers.
So why you should use Artificial intelligence in your marketing?
Build stronger customer relationships
AI tools like chatbots provide 24/7 customer support, and are always available to help customers. This allows customer service teams to save time responding to common queries and focus on other important tasks and complex queries.
Faster data-driven decision making
Marketing tools make it possible to sift through mountains of data in much quicker time. AI-powered systems build on top of these tools to generate helpful insights and reach the right customers at the right time.
Boost campaign ROI
Developing content that resonates with your audience and converts customers is more likely with AI decision-making. With historical data, run campaigns based on the type of content your audience engages with and add value to their journey. This affects your bottom line and increases your campaign's ROI.
Personalize the content with customer data
If you don't know your customer's preferences—what they want and don't want—it's difficult to gauge and create something that works for them.
Customer data such as demographics, buying history, and location can help you identify prospects interested in your products or services. The best way to get and decode this data is with Artificial Intelligence.
Automate repetitive tasks
Repetitive tasks drain energy and take time. Do you often feel tired and sometimes demotivated doing the same thing over and over?
6 AI marketing use cases
There’s a good chance that AI can help you automate and improve the online marketing activities you or your teams undertake. Here are some use cases of AI in marketing.
1. Content moderation and generation
Moderating content across all social media platforms is a popular example of a time-consuming and error-prone activity. Automation is the best to get this right, and you needn’t look further than AI-powered platforms to make moderation easy.
2. Ad targeting and analysis
Who do you want your ads to target? What are your customer personas? Where can they see your ads, when, and how?
AI platforms help you create targeted ads that get the right people to engage at the right time.
3. Social media listening and brand awareness
Social listening involves tracking online mentions of your brand and repurposing them to increase brand awareness. Doing this manually is inconvenient, time-consuming, and it is impractical to scan across all platforms and mentions.
You can then cut through the noise and choose which social engagements to prioritze.
Why use an AI solution for social listening?
Understand the tone and intent.
Discover social media trends and optimize your messaging.
Discover potential customers to start conversations with.
Find influencers to collaborate with.
Actively engage with your audience.
4. Churn predictive analytics
AI can also be used to help predict customer churn. How? By analyzing the responses to your Net Promotor Score survey, general customer sentiment, and previous communications with the client.
You likely have tons of data from previous interactions with clients. Some of these clients are still with you; others aren’t. By analyzing past conversations and communications with clients you’re able to identify common characteristics amongst customers who’ve stopped using your services.
5. Data analysis
AI analytics use Machine Learning techniques to analyze data on the go, provide key customer insights, uncover patterns, and establish data relationships. With AI tools, you can determine what works and doesn't for your business and how your customers interact with you.
Data-based insights facilitate decision-making. You can easily decide how to adjust your marketing campaigns based on the information at hand.
6. Image recognition
Image recognition is a staple in Artificial Intelligence. It uses Deep Learning to detect patterns in images and videos. You can identify places, objects, and actions to learn more about your customers and auto-tag and label items when needed.
This helps marketers segment customers and create more targeted campaigns.
Important Links
Comments
Post a Comment