Digital marketing is transforming rapidly—and artificial intelligence is fueling much of this change. As AI Automates Digital Marketing capabilities advance, marketers are finding countless new ways to leverage these technologies to grow their business and engage customers online.
When you understand the possibilities of AI for improving lead generation, ad effectiveness, content creation, and more, you can transform your marketing. Let’s dive in and explore all the ways AI is changing marketing forever!
How AI Makes Your Existing Marketing Approaches Better
New AI tools are enhancing many of the core digital marketing strategies you likely already use
Email Marketing
AI takes email personalization and segmentation to new levels, helping ensure every message resonates.
Machine learning techniques analyze which types of emails engage which customers—and then optimize content and timing on your behalf automatically.
Some AI email tools also generate copy designed for the highest open and click-through rates based on this advanced analysis. AI is already writing and sending emails to many companies!
Social Media Marketing
AI is evolving social media marketing listening far beyond traditional keyword tracking. Machine learning algorithms comb through billions of social conversations to surface the topics and trends you need to understand.
Sophisticated AI social analytics also group mentions by sentiment and intent automatically—saving you significant manual effort. You see exactly which messages are resonating so you can refine your social strategies for impact.
Search Engine Optimization
AI has opened a whole new realm of “latent semantic indexing,” where algorithms study words in context to discern meaning and relationships automatically in written content. This uncovers countless new opportunities to optimize pages by identifying relevant semantic connections human copywriters would likely overlook.
Advertisement Effectiveness
The guesswork around ad performance is ending. AI now benchmarks best practices for display, search, and social ads—and applies that learning to optimize new campaigns dynamically.
Initial A/B testing and human input establish the groundwork, but AI rapidly takes performance to the next level through ongoing autotuning.
The underlying force across all these existing marketing channels is to eliminate guesswork by learning directly what appeals to each visitor.
AI in Action – Four Examples
- Chatbots for customer service
Chatbots leverage natural language processing to understand customer questions and then provide relevant answers or route inquiries to the right agents. Over time, chatbots continue to learn based on real customer interactions.
- Predictive lead scoring
AI analyzes numerous data points to calculate a lead score predicting which prospects are most likely to convert to customers. Marketers can then prioritize and nurture high-scoring leads.
- Dynamic web content
AI systems display different content, offers, or messaging for each website visitor tailored specifically to their interests and preferences gleaned from their activity.
- Multi-armed bandit testing
This advanced AI testing approach determines in real-time which campaign element such as subject lines or images is most effective rather than waiting through an entire test cycle. It then shifts the budget to the better performers driving better results.
As you can see from just these four examples, AI has moved beyond just a buzzword to deliver real results in all areas of digital marketing from customer service to testing and personalization. Keep reading to get three tips to adopt AI solutions for your own marketing initiatives.
3 Tips to Apply AI in Your Marketing
You understand by now that AI is transforming digital marketing services offering unparalleled efficiency and insight. Here are three straightforward tips to help implement AI technologies for your marketing efforts:
- Audit your current workflow
Carefully analyze each component of your digital marketing services process. Identify which elements can be automated by AI to save you time and money. Also, look for areas where the addition of AI analytics could provide an edge over competitors.
- Research AI marketing platforms
With new solutions launching constantly a little research goes a long way. Look into AI-based tools for dynamic content, predictive analytics, customer data platforms, and more. Evaluate offerings from both marketing-focused and general AI providers.
- Start small then scale
Like any new technology, it’s best not to bite off more than you can chew in the beginning. Pick a narrowly focused pain point and run a small pilot program applying AI before rolling it out system-wide. With a few small wins under your belt, it will be easier to get buy-in to expand AI capabilities down the road.
Read More- The Future of Digital Marketing: What to Expect in the Years Ahead
