in specific tasks , such as recommendation algorithms on Netflix or Siri ' s voice recognition .
B ). General AI ( Strong AI ): This is the realm of science fiction , where machines possess human-like intelligence and abilities . We ' re not quite there yet .
C ). Machine Learning : These systems learn from data and improve their performance without explicit programming . It includes supervised , unsupervised , and reinforcement learning .
D ). Deep Learning : A subset of machine learning that uses neural networks to process data . It has been instrumental in image recognition and natural language processing .
How Has AI Enhanced Marketing ?
Increased Efficiency : By automating repetitive tasks and data analysis , AI frees up marketers to focus more on strategic and creative aspects of their work .
Better Personalization : AI enables personalized marketing at scale , helping marketers reach their target audience more effectively .
Deeper Customer Insights : With AI ' s ability to analyze massive amounts of data , marketers gain deeper insights into customer behavior and can tailor campaigns accordingly .
Examples of AI in Marketing
Chatbots e . g . on website or WhatsApp : Leading brands globally and here in Kenya have adopted chatbots to provide instant customer support , improving user experience and saving time for marketers e . g . Kenchic , Moko , Safaricom and more .
Recommendation Systems : E-commerce platforms use AI to suggest products to users based on their browsing and purchase history , significantly boosting sales .
Programmatic Advertising : AI algorithms can optimize ad placements in real-time , enhancing the efficiency of ad campaigns .
Content Generation : AI can generate content , such as reports , blog posts , and social media updates , which can serve as a foundation for human creativity .
Marketing Jobs Already LOST to AI !
1 Data Entry and Analysis : Traditional data entry and basic data analysis tasks have become mostly automated through AI . Tools : Tableau , Google Data Studio , Power BI .
2 Email Marketing Execution : Email marketing , such as list segmentation , A / B testing , and personalized content . Tools : Mailchimp , HubSpot , SendinBlue .
3 Social Media Posting and Scheduling : Scheduling and optimization of social media posts , making it more efficient and data-driven . Tools : Hootsuite , Buffer , Later .
4 PPC Advertising Management : AI algorithms are used for programmatic advertising , which optimizes the placement and targeting of ads . Tools : Google Ads , Facebook Ads Manager , Eskimi .
5 Basic Copywriting and Content Generation : AI models like GPT-3 & 4 can generate text content , making it easier to produce product descriptions , reports , and even some content e . g . # BucketAndBinge .
6 SEO Keyword Research and Optimization : AI tools have greatly automated aspects of SEO tasks .
7 Market Research : AI scans the internet and databases for market trends and consumer sentiment , making it more efficient to gather insights e . g . Brandwatch , Talkwalker .
8 Customer Support Chatbots : Chatbots can handle basic customer inquiries and support issues , handling the most routine inquiries .
9 Basic Graphic Design : AI tools can assist in creating simple graphics , such as data visualization or generating infographics e . g . Canva .
Where Are Marketers Still Needed ?
In this AI-led world , it is important to note that as a Marketer , you are still needed and critical in the marketing process . Here ’ s how :
Creativity and Innovation : AI lacks true creativity , context accuracy , emotional intelligence , and the ability to produce content with a unique human touch .
Strategic Planning : AI can analyze data but lacks the strategic thinking to formulate comprehensive marketing plans and adapt to changing market conditions .
Relationship Building and Communication : Scheduling and optimization of social media posts , making it more efficient and data-driven .
Ethical Decision-Making : Marketers must navigate complex ethical issues , such as data handling , transparency , and ensuring campaigns do not harm or mislead customers .
What about Digital Agencies ?
The basic framework for a digital marketing campaign is as follows :
Audit : a deep look at a brand ’ s Performance , Competitors ’ Performance , Customer research / segments , Setting targets and Target Audience Profiling .
Strategy : deciding on the roadmap to achieve the objectives set in the audit , such as platforms to use based on Data , Crisis Management , Brand Tone and Voice , Posting Frequency , Advertising Plan , Measuring Framework , Milestones and Projections and Influencer Plans .
Execution : the Daily Posting , Responding to comments , Team interactions internal / external .
ImpactAssessment / Reporting : Reporting , Progress on KPIs / targets , Sentiment analysis , data interpretation .
I can tell you as a practitioner , that AI has enhanced each of these steps ! As a marketer , top management expects from you the same thing it expects from us agencies : the ability to make sense of and use AI to the benefit of the organization .
The VERDICT !
The Mark-timing Marketer will be replaced by AI , The Proactive Marketer will be propelled by AI .
Sam K Mwangi is the CEO of Socialmeds Digital , a digital marketing agency helping clients grow their sales and customer insights through social media and digital . You can commune with him via mail at : Sam @ socialmedsdigital . com . NB : This article was 80 % done by AI !