Artificial intelligence (AI) istransforming marketing. AI allows marketers to understand customers better,create more personalised experiences, and automate tedious tasks. Here are siximpactful ways to use AI for marketing success.
1. Optimise Infographics
AI is great at optimising visual assetslike infographics. It can analyse data to determine the most effectiveinfographic design, text, and visuals. AI can also generate interactive infographicexamples tailored to different audiences. This improves engagement andsharing.
In particular, AI can bolster infographicperformance in three ways. First, it can analyse viewer behaviour data torefine designs and text. Higher performing infographics have more impact.
Second, AI can create interactiveinfographics that adapt to each viewer. For example, touch-screen kioskinfographics can display different information based on who is using it.
Finally, AI can automatically generateinfographics based on data. Marketers simply input statistics, themes and brandassets. The AI produces optimised, on-brand infographics tailored to differentcontent formats.
2. Predict Customer Behaviour
AI analyses data to identify trends andpatterns in customer behaviour. This helps marketers anticipate what customerswill do next. For example, AI can forecast when a customer will likely make apurchase or churn. Marketers can then proactively engage each customer withrelevant messages and offers.
Specifically, predictive analytics usesmachine learning algorithms to process data and make predictions about futureoutcomes. By applying predictive models, marketers can identify customers whoare likely to churn, respond to campaigns, or have a high lifetime value. Theseinsights enable highly-targeted marketing activities.
For example, by determining customerslikely to churn, retention programs can be launched to improve customersatisfaction. Predictive analytics also powers dynamic pricing and inventoryoptimisation. Overall, the ability to understand customers' and prospects’behaviour better leads to smarter marketing.
3. Personalise Content
AI powers personalisation by matchingcontent to individual interests. For example, chatbots interact with websitevisitors and adapt content accordingly. AI recommends products based on eachshopper's unique preferences. Personalised content boosts engagement andconversions.
Specifically, AI techniques like machinelearning, natural language processing (NLP) and sentiment analysis enablereal-time personalisation. Chatbots analyse user inputs and respondappropriately. Recommendation engines serve up customized product suggestions.AI assesses customer data to segment audiences and tailor content for eachsegment.
For example, email content can bepersonalised using customer history data. A dynamic subject line, customisedproduct recommendations and personalised messaging make each email relevant.Similarly, web experiences can be adapted using geolocation, past interactionsand more. AI takes personalisation to the next level.
4. Enhance Customer Service
Smart chatbots can handle routine customerservice queries. This frees up human agents for complex issues. Chatbots useNLP (natural language processing) to understand questions. They improve throughcontinuous learning. Together, AI and human agents enhance customersatisfaction.
Chatbots act as virtual assistants that canhandle common requests like account inquiries, product questions, and ordertracking. NLP enables chatbots to comprehend different questions and respondaccurately. Chatbots also get smarter over time through machine learning. Asthey interact with more customers, performance improves.
Meanwhile, human agents focus on addressingintricate customer issues and complaints requiring human touch. Thiscombination provides quick assistance for simple queries through chatbots whilemaintaining high-quality service for complex issues. Overall, chatbots andhuman agents together boost customer satisfaction.
5. Automate Ads
AI takes the hassle out of managing ads. Itsets up campaigns and optimises bids to get results. AI evaluates data toidentify the best platforms, placements and audiences. Marketers simply definecampaign objectives and budgets. AI handles the rest, delivering ads thatperform.
For example, AI ad platforms use machinelearning to optimise bid amounts and target the most valuable audiences. AIevaluates historical data to determine ideal ad frequency, timing, placementsand more to maximise impact. Automated ads are faster, efficient andinsightful.
AI also powers dynamic creativeoptimisation. Multiple ad versions are tested to determine top performingcombinations of imagery, text, formats, etc. Winning creative iterations getserved more frequently. This iterative approach generates better results.
6. Improve Search Visibility
AI analyses website content and user searchpatterns. It then optimises pages to rank higher in search results. AIidentifies opportunities to add keywords, meta descriptions,headers, media, and more. This organic visibility drives more qualified trafficto websites.
Specifically, AI audits website content,structure, metadata and architecture. It checks hundreds of optimisationfactors to surface areas of improvement. AI also evaluates search rankings andsuggests ways to growvisibility. This elevates SEO success.
Additionally, AI tracks customer searchesand identifies relevant long-tail keywords to target. It monitors rankings inreal-time to refine strategies. AI takes the guesswork out of SEO, saving timeand resources.
Conclusion
AI is transforming modern marketing inexciting ways. It enables marketers to scale efforts, save time and boostperformance. To stay ahead, brands should start exploring proven applicationsof AI across different marketing activities. With the right strategy, AI cantake your marketing to the next level.
The possibilities of AI in marketing areimmense. As the technology advances, more innovative applications will emerge.Brands that leverage AI early on will gain a competitive advantage. Byintegrating AI, marketers can work smarter, target customers better andmaximise results. The marketing AI revolution is here.
