Artificial intelligence offers CMOs an opportunity to change their career and increase their strategic impact. But CMOs need to act quickly to move marketing to the next level.
CMOs who have the backing of the CEO and C suite can responsibly use AI to drive digital transformation and achieve growth goals.
It’s not only about the business; it’s also about positively impacting it.
CMOs: Growth Leaders Beyit’sTactics in the Age of AI
CMOs are seen as tactical, not strategic, influencers. CMOs are often viewed as tactics rather than strategic influencers. There is a large gap between what CMOs expect of their role and what CEOs actually want.
What is the result? The result? A shorter CMO tenure and lower marketing budgets.
Things are changing. Despite the fact that CEOs are not impressed, nearly half of them acknowledge CMOs as key players in driving growth. More than eight out of ten CEOs see CMOs as having the potential to impact.
AI could add $1.4 trillion to $2.6 billion in value to businesses. CMOs who are proactive in AI adoption will reap the rewards.
Six Use Cases for AI in Marketing
As a CMO, I can confirm that leveraging AI creates new opportunities and efficiency. A number of martech and productivity tools provide a solid base. AI is now available from tech partners like 6Sense, Adobe Asana, Google HubSpot, OpenAI, Salesforce, Zoom, and more. The way forward is clear.
CMOs must first work with their current partners to explore possible use cases and key AI issues, such as security, privacy, and ethics. It is important to ensure that AI adoption is safe and responsible.
Six of the most strategic and compelling use cases for CMOs are listed below.
Developing Insight-Driven Strategies
AI-powered insights allow the CMO to collect and analyze a large amount of data about customers and markets.
AI algorithms and analytics can provide unique insights to help you make strategic decisions.
- Target segments and usage cases
- Positioning and differentiation that is defendable
- Pricing and packaging strategy
- Road map for products
- Targeted go-to-market strategy
GPT-4 Advanced Data Analysis, for example, can evaluate target segments based on different criteria such as market size and growth, win rates, competitive intensity, partner strength, etc. It can produce a heatmap that shows segment strengths both overall and by criteria. This data-driven approach drives cross-functional discussion and alignment about which segments are the most important.
77% of marketers say they want AI to reduce the time required to perform repetitive tasks. AI is not only a time-saver, but it also helps marketers gain deeper insights into their customers and achieve more strategic tasks.
Knowing your customers is crucial to providing personalized experiences.
Delivering Personalized Experiences
Personalization is expected by 77% of consumers. AI can revolutionize the marketing industry through customized campaigns, including emails, website experiences, landing pages, and smart chat using customer data such as role and online behavior.
AI can enhance the customer experience, making it easier for customers to get what they need. AI can manage complex back-end functions.
AI in travel could recommend personalized itineraries and handle all booking details automatically, including flights, hotels, and cars. AI can recommend the best project management software based on your needs, team size, and industry, as well as features, budget, and other factors. AI automates and streamlines the entire process, from onboarding through to workflow improvements. It also provides 24/7 chatbot assistance.
Overcoming Online Search Challenges
Google’s AI algorithm, which allows users to find answers to their searches with just one click, is expected to cause a drop in traffic of up to 25%. This reduces the number of SERP links that need to be clicked to access different websites.
ChatGPT and other AI tools that have Web browsing capabilities affect search traffic in the same way. The cost per click could also increase due to increased competition for a smaller amount of ad space.
AI can help marketers make every click count by finding new ways to reach out to people and creating answers to questions that Google cannot ignore.
Accelerating Customer Conversion
Intent data gathered from site visits and search results can provide insights into the customer journey, from research to purchasing. AI can be used to deliver personalized, relevant content for each stage of the trip. It predicts likely buyers and helps Sales and Marketing target the most promising prospects.
AI can simplify proposals, schedule demos, and increase conversions.
AI can drive conversions further by identifying cross-sell and upsell opportunities based on past purchases, app usage, and browsing behaviors.
AI in e-commerce could optimize the layout of pages or personalize ads for maximum conversions.
Reduce Customer Churn
AI is able to analyze large amounts of data quickly, unlike traditional methods. This includes usage, purchasing habits, the volume of downloads, frequency, and timing of communications, as well as the level of engagement. Marketers can retain customers by proactively spotting dissatisfaction early on. They can do this through special campaigns, offers, tips in the app, or personalized service.
AI can optimize until the customer’s behavior indicates a lower risk of churn. This increases the retcustomer’s reduced revenue loss from churn.
Growth and ROI: How to Optimize for Maximum Profit?
AI optimizes spending to improve campaign performance and ROI. It analyses past campaigns and allocates a budget to get the best return.
AI can also increase efficiency by automating tasks such as data analysis and audience segmentation and saving time and costs.
AI in e-commerce can optimize profits by adjusting prices based on demand and preferences. In finance, AI can also find profitable investment strategies by analyzing large data sets.
This AI-driven growth increases business efficiency and profitability.
How CMOs can lead the way in AI-based strategic leadership
Sam Altman (former CEO of OpenAI) introduced Moore’s Law for Everything and suggested that the world’s intelligence is available every 18 months.
CMOs can overcome our world’s perceptions by embracing AI and cementing their role as strategic drivers of growth. They can lead digital transformation in their organization and encourage greater collaboration between departments. CMOs are able to lead AI ethics, privacy, and security initiatives across the company.
CMOs who promote responsible AI can help to improve the customer experience. This ensures AI’s impact extends beyond the business benefits to benefit humanity.
CAIs should prioritize training and skill building to prepare their teams for the future. Also, they should create AI roles that are modern and relevant, such as the Head of Generative AI or AI Ethics Specialist. Some parts are more staff-intensive, so the focus should be placed on modernizing teams as well as using AI to grow.
It is also important to have the full support of the CEO and other executives. CMOs who have the permission of their leadership and are part of a collaborative culture can ignite a revolution in customer-focused growth.
CMOs must now take the lead as strategic leaders. CMOs who fully embrace AI can maximize Marketing’s impact and increase their strategic value.