introduction
In recent years, it was only large companies that relied on Artificial Intelligence (AI) to generate advertising copy, forecast consumer behaviour, and develop comprehensive marketing plans; however, smaller companies are now also using AI-related marketing applications to utilise the technology to help determine what message they should send out, when to send it, and whom to send it to. The transition toward AI use has been quite rapid — and a bit overwhelming.
AI is now being looked at as a necessity rather than a luxury, as companies are no longer relying on their ‘gut feeling’ but rather using data to inform their decisions. With all of the competition in most industries gaining momentum, there is an urgent need to pay attention to where AI marketing is headed so that your organization can plan for future success.
In this article, we discuss seven emerging trends in AI marketing that are going to dramatically change the way businesses interact with consumers and compete in the marketplace by 2026. We will examine the development and use of hyper-personalization technology, the growth of predictive and autonomous marketing systems, and the demand for ethical and privacy-oriented AI marketing policies. Collectively, these trends will dramatically alter how brands engage with their audiences and how they will compete in the years ahead.
Hyper-Personalized Marketing Environments Have Arrived
The term personalization has been thrown around for years within marketing; however, until now, actual one-on-one engagement hasn’t been possible at scale using AI.
Modern AI tools analyze user browsing habits, purchase history, social activity and even micro-behaviors such as scroll velocity and pause time to create an experience that feels less like advertising and more like a helpful recommendation.
Some of the major advancements have been:
- Dynamic Content: Websites and emails will dynamically change based on user preferences when they land on the website/email.
- AI-based Recommendations: Algorithms now can predict what users want before they begin searching.
- Ability to understand emotion: New tools can understand the user’s emotions and can provide a response by altering the tone of the messaging.
As an example, streaming platforms have mastered their recommendation engines; however, retail brands are quickly catching on. Online retailers that have implemented AI-based personalization methods have seen their conversion rates increase by as much as 20%.
How AI is Different from Traditional Personalization
Traditional marketing systems mapped customers by broad categories. AI breaks those barriers down.
Instead of targeting “millennial professional”, AI allows the marketer to target the following example of a remote worker:
- The remote worker shops late in the day.
- The remote worker prefers green products.
- The remote works responds entirely better to educational information than he does to discounts.
- This is a new game changer in how the brand interacts and creates loyalty with its customers.
Why is this important?
Consumer expectation is shifting to a “brand creating an experience based on me”. Generic.
Predictive Analytics and Autonomous Marketing are Going to be the Focus of 2023
Predictive Artificial Intelligence is a Tool used for Timing or Making the Right Offer to Your Potential Customer before the Competition Realizes There is a Need.
When Predictive Analytics are used as a Strategic Tool by Organizations, Marketing ROI can Increase as Much as a Percentage of Budget is used to React to Events with High Probability Outcomes.
Sales Cycles can Be Shortened for Companies who are Focusing On Prospects Who Demonstrate Intent To Purchase.
Autonomous Campaigns Are Starting to Emerge as a New Way to Create Marketing Programs for Organizations to Use.
Think about the Possibilities If You Launch a Campaign with AI Doing the Following for You:
- Testing Hundreds of Variants of an ad
- Providing You Real-Time Budget Management
- Changing Your Message Based on How Successful it Is
- Automatically Pausing Under Performing Channels
- All Done Without You Having to Do Much More than Hit “Go.”
How is This Different?
In a Traditional Marketing Automation System, All Marketing Efforts Were Based Upon a Predetermined Set of Rules and Processes. In an Autonomous Marketing System, All Marketing Efforts are Based upon Learning and Continual Change.
In Changing from an Operator Mindset to a Strategic Mindset, Marketers will No Longer Ask, “What Headline Should We Test?” but Rather, “What Market Should We Target our Products and Services?”
Ethical, Privacy-First AI is a Competitive Advantage
As AI marketing becomes increasingly dominant, so too rise concerns about data privacy and transparency. In just a few short years, “responsible AI” will no longer refer solely to regulatory compliance – but rather, will likely reference an organization’s brand reputation.
The Increased Attention Consumers are Giving to this Trend:
- People are paying closer attention to how their data is collected, used, and stored.
- Once trust is gone, it is often challenging to gain back.
Shifts Expected to Accelerate This Trend:
Consumers are paying increased attention to new or existing global privacy legislations and will only buy from companies that are transparent about how and where their data comes from.
Consumers will prefer to purchase from businesses who respect their data privacy boundaries.
Forward-thinking companies understand that building brand reputation and developing a competitive advantage will come from including responsible AI solutions as part of their corporate value proposition.
Examples of Responsible AI Practices Being Adopted by Leading Companies:
- Explainable Artificial Intelligence – Complicated algorithms/software will give explanations of how a decision was reached.
- Consent Driven Data Strategies – Generating customer profiles from first-party data versus third-party data.
- Monitoring for Bias – Perform ongoing audits of algorithms to ensure they are non-biased/unbiased.
Example of How Companies are Differentiating Themselves with Responsible AI Practices:
Some advertisers communicate how their AI technology supports their marketing efforts – thus converting transparency into a trust signal, (versus hiding behind closed doors your AI technology).
Bottom line
In the past, success was primarily determined by your ability to reach potential customers and
convert them. Today, finding a successful balance between establishment of credibility and converting
leads is equally important.
From a responsible AI perspective, companies that conduct business with data transparency (i.e., in a
responsible manner), will in turn develop stronger customer loyalty and increase the overall LTV (i.e., customer lifetime value) resulting in fewer reputation risks.
Accelerating Change with Next Level Trends in AI Marketing
These three themes define the overarching strategic direction of AI marketing. However, they are also being enhanced by a number of emerging trends, which include:
Generative Artificial Intelligence for creating the content: Blogging, video production, ad creative development, etc., can all take place much quicker than ever before, while still providing the same level of quality.
Optimizing for voice and visual search: Changes in the way people search mean that marketers will now need to optimize their marketing strategies for more than just the words people enter into search engines.
AI Enhanced Chat Experiences: Conversational marketing is becoming less difficult and more beneficial to the customer experience than ever before.
Real-time Decision Engines: Marketers can now update campaigns with real-time decision-making, rather than waiting to analyze reports after the fact.
All of these new developments represent a future in which the combination of speed and intelligence, along with flexibility, will determine the success of your marketing.
conclution
AI is not only creating new avenues for marketing to be accomplished; it’s also changing what ‘effective marketing’ is going to be going forward.
In watching these trends develop by 2026, there are three key aspects to keep an eye on:
Hyper-personalization will soon become the norm, rather than a rarity
The ability of smart machines (predictive and autonomous) will help drive better decision making, and increased ROI.
Brands utilizing ethical, privacy-first AI will ultimately separate those brands that will be trusted from those that will become forgotten.
Those organizations that are not proactively pursuing these changes in their marketing strategy may find themselves at the mercy of their competition already building AI-driven marketing ecosystems. The good news is that large amounts of resources are no longer required to adopt these changes into the organization; it only takes strategic intent and capacity for evolution.
The recommendations for organizations going forward include:
- Begin with small steps in adopting AI into your marketing technology stack, but never lose sight of the potential long-term benefits.
- Invest in high-quality, clean data; this is essential to enabling intelligent systems to work for organizations.
- Train your staff to work alongside AI as opposed to fearing AI.
The future of marketing will belong to brands that are utilizing AI along with human insight together, as opposed to falling behind others in the market tide of change will define marketing going forward.
The call to action
to review your existing strategy, experiment with different AI tools at your disposal, and prepare your marketing organization to succeed in a new era of smarter, faster and more personalized marketing.