Sean Simon’s Post

One of the more unique features of Marketing Mix Models (MMM) is the ability to measure direct (first order) AND halo (second order) revenues. **Direct revenue >> most analogous to what you get with click-based tracking, think last-click through GA or MTA from Triple Whale or Northbeam >> effectively, this measures how spend impacts revenue today **Halo revenue >> stating the obvious, revenue doesn't always have an immediate impact but measuring just how and when that spend will have an effect on sales is where halos come in >> this requires a complex set of relationships between the timing of impressions that lead to sessions, buying behavior and consideration cycles, time decay of campaigns, and reduction of noise from anomalies and organic business trends (e.g. seasonality, word of mouth) >> halo effects are especially important for awareness/top of funnel channels and for channels that do not have a "click" (think TV, podcasts, influencers) While MMM usage as a measurement tool is not new, modern MMMs that can update on a daily basis, down to campaign-level, that can probabilistically track which conversions happened across DTC + Amazon has been made possible by the advancements in AI/ML (and of course a math genius like Cody Greco). I have more learning to do in this up and coming space but I'll plan to synthesize as much as I *humanely can.

How to maximize your return on advertising spend? I have the key strategy for your business growth. 👇 The rules of the marketing game are simple: You need to optimize your ROAS. Investing in AI advertising is not just a trend. It's a real game changer. Integrating AI into advertising campaigns allows for better: 📝 - Targeting - Engaging - Converting You need to understand this technology. Integrating AI into your business will be crucial. You will be able to: - Analyze huge amounts of data. - Predict consumer behavior. - Create effective advertisements. You're afraid to delegate this campaign strategy to a robot. 🤖 AI will not do the work for you. But it will make your job easier. You'll be able to test more creative approaches while maintaining a focus on results. You need to act now. The advertising space is a competitive world. So, use AI effectively to optimize your ROAS.

🧋 Personalization in marketing has become a crucial aspect of engaging with audiences effectively exemplified by Starbucks through their personalized customer touchpoints, both in-store and online. With over 60% of orders being completely custom, Starbucks has set a remarkable example of personalization at scale. To effectively implement ad personalization, businesses should follow a strategic approach: 🔍 Identify Your Audience: Understanding your customers and potential customers is crucial for shaping a personalized experience. Utilizing AI marketing services can enhance this process, and at Atozy Advertising Agency, we offer professional AI marketing services to assist in this step. 🎯 Determine Your Personalization Goals: Define the end goal of your ad personalization to plan the necessary steps. For instance, if the objective is to encourage purchases, the strategy should involve ads targeting consumers with high buying intent. 📌 Deliver Retargeted Ads: Target consumers who are already familiar with your product or brand, such as those who have shown interest but not completed a purchase. 📄 Create Unique Landing Pages: Ensure that landing pages are highly personalized and relevant to the ad, meeting the user’s needs. 🔒 Prioritize Ethical Data Practices: Build trust with your audience through transparent and ethical data practices, avoiding excessive personalization tactics and focusing on adding value to their experiences. 🌟 In conclusion, personalized advertising is a powerful tool for businesses to connect meaningfully with their audience. At Atozy Advertising Agency, we understand the significance of personalized advertising and are committed to providing advanced AI marketing services. Our dedication to ethical data practices and transparent communication ensures that our clients can build trust with their audience while delivering personalized experiences. #Personalization #Marketing #AI #Advertising #EthicalDataPractices

Artificial intelligence (AI) and machine learning are revolutionizing advertising. The AI industry's growth has been remarkable, projected to exceed $250 billion by 2027. Searches for "AI marketing" have surged by 1,100% in the past five years. Marketers recognize the impact of AI, with nearly 13% identifying it as a game-changer for their business. In marketing and sales departments, AI technology takes precedence. AI brings real value to marketing and advertising through efficient data analysis. AI tools optimize impressions, click-through rates, bid levels, and targeting, transforming programmatic advertising. Implementing AI allows for a deep understanding of consumers, surpassing their self-awareness. Real-world examples demonstrate AI's effectiveness. RedBalloon achieved a 1,100% return on ad spend by testing Google text ads with AI. Phrasee reduced cost-per-lead by 31% in a Facebook ad campaign.

🚀 Unlocking the Future of Marketing with AI 🚀 In an era where personalization and efficiency are king, artificial intelligence is revolutionizing how we approach marketing. From predictive analytics to chatbots that understand your customers better than ever, AI is not just a tool—it's the future. But what does this mean for marketers and businesses alike? ✨ Increased Personalization: AI’s ability to analyze data at an unprecedented scale allows for highly personalized marketing strategies, making your customers feel truly understood. 🎯 Enhanced Targeting: With AI, targeting is not just broad strokes. It's about pinpointing your audience with laser precision, ensuring your message reaches the right ears at the right time. ⏰ Saving Time with Automation: Bid farewell to the mundane tasks. AI automation frees up your time, so you can focus on what truly matters—strategic decisions and creative endeavors. 🔍 Insightful Analytics: AI doesn't just collect data; it interprets it. This means deeper insights into customer behavior and trends, empowering you to make informed decisions. We're on the brink of a marketing transformation. Embrace AI, and let's navigate this exciting journey together. Are you ready to leverage AI in your marketing strategy? Share your thoughts or experiences below! 👇 #AIMarketing #DigitalTransformation #InnovationInMarketing #Personalization #MarketingAutomation

Not having any luck with PMax campaigns? You're probably doing it wrong. Why should you even use Performance Max campaigns in the first place? 👍 Pros: Automation Magic: Leverage Google's AI for optimised bids, placements, and audience targeting. Cross-Channel Brilliance: Reach potential buyers across various Google platforms, websites, and apps. Creative Freedom: Dynamic ads adapt to fit any space, ensuring your products always shine. What are the risks of using it? 👎 Cons: Learning Curve: Embracing all the AI features might take a bit of time for beginners. With all things AI, you also need to give Google PMax campaigns quite a bit of data before you see real success. Resource Availability: Works best when all asset types are filled to the brim & are high quality to supercharge machine learning. Budget Consideration: The cost might be a tad higher, but the potential return is worth it. HOW YOU SHOULD USE IT: Start using it as a 'Feed Only' PMax campaign - only have the product feed loaded up into it and don't create any search ads. This way, the PMax Campaign will act almost like our all-time favourite Smart Shopping campaigns. Once you find successes here, you should then look at trying out the other PMax assets they offer. Good luck, Celine xx

Amazon is utilising AI to enhance its ad targeting this holiday season. It aims to attract more customers and advertisers to its platform by presenting highly relevant ads, generated by drawing from the data of its 160 million Prime subscribers. Generative AI will also assist merchants in swiftly creating promotions and offers for a broad range of products - a vital tool during peak shopping seasons. This innovative technology can produce tailored ads according to user preferences, potentially saving significant advertising costs. While an increase in the adoption of AI by one of the largest online retailers positively reinforces the potential of generative AI, concerns arise about uniqueness and product differentiation due to similar imaging for separate products. The technology might also impact small advertising firms and freelancers focusing on graphic design. Have you noted the influence of bespoke AI-generated advertising in your online shopping experiences? Do you think the benefits of such personalised ads outweigh the potential negatives of reduced product differentiation? #AI #advertising #technology #Amazon #onlineshopping

AI marketing is transforming the marketing landscape, enabling businesses to automate tasks, improve targeting, personalize experiences, and gain valuable insights. By leveraging AI technologies, marketers can enhance their campaigns, drive growth, and deliver exceptional customer experiences. Here are some of the examples: 1. Netflix uses AI to personalize movie recommendations for its users based on their viewing history and preferences. 2. Amazon uses AI to power its product recommendations and predict customer demand, optimizing its inventory and sales. 3. Spotify uses AI to create personalized playlists for its users based on their listening habits and preferences. 4. Google Ads uses AI to optimize ad campaigns, targeting the right audience with the right message at the right time. 5. Chatbots powered by AI are used by many businesses to provide customer support and answer frequently asked questions. #Aiinmarketing #Marketing #Ai #Cloud #Future #intelligence