Ketemaw Alebachew的动态

Programmatic Curation & Generative AI: The Future of Ad Tech The ad tech world is buzzing with two key trends:?programmatic curation?and?generative AI. With Google launching its curation product in Google Ad Manager, this once-niche space is now going mainstream, opening new inventory for brands and agencies. The programmatic industry is evolving rapidly. Platforms are now partnering with generative AI companies to leverage deep learning and large language models, replacing traditional keyword targeting and audience segments. By analyzing millions of websites daily, these technologies help advertisers reach audiences without relying on cookies. we've long believed that?curation?is the perfect blend of AI and HI (human intelligence). AI automates tasks and uncovers insights at lightning speed, freeing traders to focus on strategy and deliver better outcomes. But, the human touch is still vital. Curation enables a unique balance—using technology to streamline processes while maintaining the interpersonal nuance that only human intelligence can provide. Strategy + Technology = Impactful Results.?Let’s embrace the future of programmatic advertising. #Programmatic #GenerativeAI #AdTech #Curation #AI #DigitalAdvertising #sensedigital

How does AI enhance outreach for Digital Marketing Businesses? Audience Segmentation and Targeting: AI algorithms can analyze vast amounts of data to identify patterns and characteristics among target audiences. By segmenting audiences based on demographics, interests, behaviour, and other factors, AI helps digital marketers deliver highly targeted and personalized content to specific audience segments, increasing the effectiveness of outreach efforts. Predictive Analytics: AI-powered predictive analytics tools analyze historical data to forecast future trends and outcomes. This capability enables digital marketers to anticipate customer behaviour, identify potential leads, and optimize outreach strategies to engage with prospects at the right time and through the most effective channels. Content Optimization: AI-driven content optimization tools utilize natural language processing (NLP) and machine learning algorithms to analyze the performance of content across various channels. By understanding audience preferences and engagement patterns, AI can suggest content improvements, such as optimizing headlines, keywords, and messaging, to increase visibility and engagement. Chatbots and Virtual Assistants: AI-powered chatbots and virtual assistants automate customer interactions and provide real-time support across multiple channels, including websites, social media, and messaging apps. By delivering personalized responses to inquiries and guiding users through the sales funnel, chatbots enhance customer engagement and streamline the outreach process. Predictive Lead Scoring: AI-driven lead scoring models analyze lead data to predict the likelihood of conversion. By prioritizing leads based on their propensity to convert, digital marketers can focus their outreach efforts on high-potential prospects, improving efficiency and ROI. Dynamic Pricing Optimization: AI algorithms analyze market dynamics, competitor pricing, and customer behaviour to optimize pricing strategies in real-time. By dynamically adjusting prices based on demand, seasonality, and other factors, digital marketers can maximize revenue and attract price-sensitive customers. Ad Targeting and Optimization: AI-powered advertising platforms leverage machine learning algorithms to optimize ad targeting and placement. By analyzing user behaviour and preferences, AI can identify the most relevant audiences for ads and adjust bidding strategies to maximize ad performance and ROI. Social Media Listening and Sentiment Analysis: AI-powered social media listening tools monitor conversations and sentiment around brands, products, and industry trends across social media platforms. By analyzing social media data in real-time, digital marketers can identify opportunities for engagement, address customer concerns, and shape their outreach strategies accordingly. #DataDrivenMarketing #AudienceSegmentation #PredictiveAnalytics #Chatbots #LeadScoring #DynamicPricing #SocialListening

What if AI not only chose your ads but also created them? AI is increasingly capable of not just targeting ads but generating them, using deep learning to craft messages that resonate deeply with individual preferences. Picture a world where every ad you see is created by AI, designed to hook your attention by aligning perfectly with your interests and emotions. This hyper personalization could revolutionize #marketing effectiveness but may also diminish the authenticity of brand-consumer interactions. To harness this technology responsibly, we need clear ethical guidelines that maintain creativity and genuine engagement in AI generated content. Can AI drive marketing creativity without compromising genuine brand-consumer relationships? #AICreativity #MarketingInnovation #DigitalEthics #AI #BrandAuthenticity

#ThrowbackThursday - 2/3 Forget third-party cookies - AI is the future of ad targeting! Deep learning personalizes ads, predicts success, and even writes creative copy. P.S. Who's using AI in their ad strategy? Share your experience in the comments! #AI #Marketing #FutureOfWork

???????????????????? ???? ?????? ???? ???? ?????????? ?????????????? ?????? ?????? ??????! AI and ML are revolutionizing brand studios, offering new ways to enhance creativity and efficiency. Here are key insights from Ben Young on how brand studios can leverage these technologies: 1?? Automate routine tasks to free up time for creative work 2?? Use AI-powered tools for content creation and ideation 3?? Implement predictive analytics for better audience targeting 4?? Enhance personalization in marketing campaigns 5?? Utilize natural language processing for improved customer interactions 6?? Employ computer vision for visual content analysis and creation 7?? Leverage AI for real-time optimization of marketing strategies 8?? Integrate AI-driven chatbots for customer service and engagement 9?? Use machine learning for more accurate performance measurement Brand studios must stay informed and adaptable as we navigate this AI-driven landscape. The points above equally apply to brand content marketing teams. ?????? ???? ???????? ???????? ?????????????????????????? ???? ?????? ???? ???????? ???????? ???????????????? ??????????????????? ????????????: @ Chad Pollitt ???????? ???????????????? ?????????????? ???????? Ben Young ???? ????????????????: https://lnkd.in/gPyHdrxZ ?????????????????? ???? ???? ???????????????? ???????????????????? ????????: https://lnkd.in/gDRaJ68t

No single AI tool will magically fix all marketing woes—pairing AI with strategic human input is often what truly moves the needle. Many brands/marketers assume artificial intelligence alone can skyrocket campaign performance. In reality, a balanced approach—letting AI handle repetitive tasks, while humans focus on strategy—often yields the best outcomes. Consider these three points: Precision Audience Targeting Tool Suggestion: Madgicx consolidates data from Facebook, Instagram, and Google, then uses machine learning to pinpoint which audience segments respond best to different creative angles. Human Input: Marketers still shape the messaging for each segment. AI might show that 25-year-old urban dwellers respond best to bright visuals, but you decide what story to tell in those visuals. Ad Creative Insights Tool Suggestion: Creatopy.com/Adcreative.ai analyzes existing ads—identifying color schemes, copy lengths, or imagery that historically performs well. Human Input: AI can’t replace a brand’s creative flair or cultural nuances. It can highlight patterns, but final styling and brand consistency remain a human task. Optimized Bid Management Tool Suggestion: Adzooma for Google Ads automates bid adjustments based on performance data, so you’re not manually tweaking bids all day. Human Input: Reviewing weekly performance ensures the system doesn’t go off track—if new products or promotions arise, you’ll adjust the parameters accordingly. Feel free to share your thoughts. #UAEEcommerce #AdTech #Ecommercemarketing #DigitalStrategy #Performancemarketing

?? AI in Marketing: Unlocking Potential, Knowing Limits AI is transforming marketing by enhancing personalization, optimizing campaigns, and driving engagement. Large Language Models (LLMs), like GPT-4, play a key role in automating content, chatbots, and insights. But they come with limits: 1. Hallucinations: LLMs sometimes produce inaccurate info—human oversight is crucial. 2. Data Bias: AI can reflect bias in datasets, affecting ad targeting and audience segmentation. 3. Interpretation: AI outputs need human judgment to align with brand goals. AI is powerful, but critical thinking is irreplaceable. Want to explore how to use AI in your marketing? Let’s connect! #AI #Marketing #LLM #BusinessStrategy

?? The Future is Here: AI in Social Media Monitoring! ?? As we navigate through 2025, artificial intelligence is reshaping the landscape of social media monitoring like never before. ? Real-Time Insights: Imagine having the ability to gauge public sentiment and track brand mentions in real-time! AI algorithms analyze vast amounts of data, allowing businesses to respond swiftly to customer feedback and trends. ? Enhanced Targeting: With AI, we not only listen but understand our audiences better. Customization and personalization take center stage as AI helps refine our marketing strategies based on user behavior and preferences. ? Predictive Analysis: Gone are the days of guessing what’s next. AI tools predict future trends, empowering brands to stay ahead of the curve by crafting proactive content strategies. The key takeaway? In the age of information overload, leveraging AI for social media monitoring isn’t just an option—it’s a necessity! ?? How is your organization using AI to enhance social media engagement? Let’s discuss in the comments! ???? #SocialMediaMonitoring #AI #DigitalTransformation #MarketingInnovation #FutureofWork

?? The Future of AI in Social Media ?... ?? The Role of AI in Social Media: A Game Changer for Professionals & Strategy! ???? Social media is evolving faster than ever, and AI is at the forefront of this transformation. From personalized content recommendations to AI-powered chatbots and predictive analytics, artificial intelligence is redefining how brands engage with audiences. ?? How AI is Shaping Social Media Strategy: ? Content Creation & Curation – AI tools generate high-quality posts, captions & visuals in seconds! ? Audience Insights – AI analyzes user behavior to predict trends and optimize engagement. ? Chatbots & Customer Support – Instant, AI-driven responses enhance user experience 24/7. ? Ad Targeting & Performance – AI fine-tunes ad campaigns for maximum ROI. ? Fake News Detection – AI helps combat misinformation & keeps platforms credible. As AI continues to evolve, professionals must adapt, upskill, and embrace automation to stay ahead in the digital landscape. Are you leveraging AI in your social media strategy yet? ?? Let’s discuss! How do you see AI impacting social media in the next 5 years? ?? #AI #SocialMedia #DigitalMarketing #AIinMarketing #ContentStrategy #FutureOfMarketing #SocialMediaTrends #MarketingInnovation Follow me for such content Biplali Kaur

AI’s use hasn’t met its potential yet Generative AI is still maturing, but marketers aren’t waiting to fold it into their workflows, including content creation to audience segmentation. Marketers’ top use case is personalization, but they say copywriting has the most potential. Here are five charts demonstrating how marketers are using generative AI right now. Across key areas, marketers see?potential for generative AI, but their actual use of the tech isn’t matching up. For example, over half (59%) of marketers see potential for AI use in copywriting, but only 26% actually use it for that, according to Mediaocean. Use for key tasks will likely grow as generative AI matures, but for now it’s still in the adoption stage. #aiinmarketing #ai #aitools https://lnkd.in/gFqUfEgA