Cognitiv’s Post

A great read for those interested in the techy side of machine learning models.

How machine learning is joining proprietary data to predict customer actions

Let's face it, traditional Media Mix Modeling isn't cutting it anymore. As cookie depreciation, walled gardens and a highly-fragmented media journey continue to challenge how marketers measure media, our agency has been busy working on a solution. At Media Matters Worldwide, AI is playing an increasing role in how we develop metrics and modeling. In this Digiday article our SVP of Analytics and Data Science Sara Owens, discusses how we've responded to shifts in the market and how we were able to uncover new insights for our client Sierra Nevada Brewing Co. Read more: https://lnkd.in/e8MmhrZa

Problem - "Cost Per Click" marketing costs are rising across Industries Why - The "walled garden" developed by the large Ad platforms, along with the death of the third party cookie, are taking away marketers independence and giving more control to the Ad platforms. Solution - There are untapped insights in the mountains of Ad data that marketers have at their disposal. By utilizing machine learning, marketers can analyze their data, uncover hidden patterns, and increase the effectiveness of their advertising campaigns by optimizing for higher click-through rates and conversions. Reads all about it HERE: https://lnkd.in/ewwkwcry #predictiveanalytics #machinelearing #nocode

Most ads fail because they lack data optimization. You don’t know who your ideal target is. You don’t know how much each user is worth. You don’t know which ads are generating ROI. Most companies put a lot of focus on the creative aspect of ads. Which is good but there should be equal attention to the data aspect. You want ads that target your highest-value users. You want ads that impact paid user conversions. You want ads that increase your profitability. This is where predictive LTV models and data integrations come in handy. You can use AI models to predict the LTV of each user with anonymized data from data sources like Snowflake, BigQuery, or Redshift. Then, you can continuously feed these predictive lifetime value AI scores to ad platforms like Google and Meta Ad Manager via server API. This makes sure your ad budget is buying you the highest value users for your company. Sounds good? We have this mechanism ready to go at Voyantis.ai The AI platform used by Notion, Miro, Honeybook, and more. #advertising #strategy #artificialintelligence #VBB

Most ads fail because they lack data optimization. You don’t know who your ideal target is. You don’t know how much each user is worth. You don’t know which ads are generating ROI. Most companies put a lot of focus on the creative aspect of ads. Which is good but there should be equal attention to the data aspect. You want ads that target your highest-value users. You want ads that impact paid user conversions. You want ads that increase your profitability. This is where predictive LTV models and data integrations come in handy. You can use AI models to predict the LTV of each user with anonymized data from data sources like Snowflake, BigQuery, or Redshift. Then, you can continuously feed these predictive lifetime value AI scores to ad platforms like Google and Meta Ad Manager via server API. This makes sure your ad budget is buying you the highest value users for your company. Sounds good? We have this mechanism ready to go at Voyantis.ai The AI platform used by Notion, Miro, Honeybook, and more. #advertising #strategy #artificialintelligence #VBB

At EKOM AI, we believe in harnessing the power of real-time market data to drive e-commerce success. We enhance your meta and on-page content using long-form and short-form keywords from top data providers like SEMrush and Ahrefs. Additionally, our unique algorithm identifies emerging keywords weeks ahead of mainstream recognition. This approach ensures your metadata and Product Description (PDP) assets are always optimized for high search volume and low competition words, increasing your visibility and driving the right kind of traffic to your site. With our data driven approach, we eliminate subjective bias and drive commercial intent traffic through real-time data optimization. Let data lead and inform your strategy with EKOM. 📊 #SEO #DataDriven #MarketData #Ecommerce #ContentOptimization #EKOM.AI

As we wrap up 2023 (a testing year for all) it's exciting to look ahead to 2024 and explore the opportunities for the relationship between Data Science and AdTech to continue to blossom! In the article below, Ian Liddicoat from Adludio talks about what we can expect with the increasing integration of Artificial Intelligence and Machine Learning in digital advertising as we enter 2024. I've had some really interesting conversations with our clients at Harmonic Finance™ | Certified B Corp within the digital media and creative space about how important it now is to have a clear data science strategy to keep up with the market. If you're an advertising agency and don't currently have a Data Science team in place, let's have a chat! #adtech #martech #datascience

"For Razorfish, it’s about helping brands understand and leverage the data in a way that they can see those insights at scale to develop better customer experiences.” From last week's announcement of the R-Index solution, Razorfish's Sisi Zhang spoke with Addison Capper of LBBonline - Little Black Book. Full story here: https://lnkd.in/g6Gm2nXZ #measurement #data #marketing #AI

Revolutionizing Media & Entertainment with Big Data Insights Industry Snapshot: In the dynamic realm of media and entertainment, the race for a customer-centric approach intensifies. Big data analytics adoption becomes imperative for enhanced experiences and reduced attrition, enabling seamless access and analysis of vast data volumes. Big Data Challenges Insights: Industry Dynamics: Rapid industry growth brings challenges of balancing costs and revenue amidst diverse consumer media habits. Challenges: The rise of online platforms introduces hurdles - data privacy concerns, financial constraints, talent acquisition difficulties, and limited broadband penetration. Growth Factors: Staying relevant in the digital landscape and ensuring mobile compatibility are pivotal. Overcoming big data challenges involves addressing privacy concerns, financial constraints, talent acquisition difficulties, and limited broadband penetration. Use Cases in Inventory Control Management: Enhanced Data Privacy: Big data solutions tackle leaks, ensuring user data accumulation for accurate analysis. Financial Alternatives: Cloud storage and SaaS solutions offer alternatives for SMEs facing financial constraints. Talent Acquisition Solutions: Organizations like Quantzig bridge the gap amid the shortage of data science professionals. Insights Despite Limitations: Big data aids in gaining customer behavior insights despite limited broadband penetration. Audience Interest Prediction: Big data provides a profound understanding, enabling content alignment with viewer preferences. Optimized Media Scheduling: Big data facilitates direct interaction through scheduled media streaming, maximizing profits. Impact of Big Data: Transformative Influence: Revolutionizing content personalization, audience insights, targeted marketing, and informed content creation. Tailored Recommendations: Big data enables personalized content recommendations, enhancing user engagement. Deeper Audience Insights: In-depth insights drive targeted marketing, delivering more relevant ads. Guiding Content Creation: Predicting trends offers valuable guidance, refining content strategies for success. Core Activities in the Industry: Foundational Activities: Content creation, distribution, broadcasting, advertising, marketing, and digital transformation. Essential Role: Effective marketing and advertising are crucial for promoting content and products. Embracing Digital: Adapting to changing consumer preferences, the industry focuses on digital media and streaming. Future Anticipation – Inventory Control Management: AI-Driven Analytics: The future unfolds with AI-driven big data analytics, predicting consumer needs and optimizing operations. Quantzig's Role: Quantzig's solutions play a pivotal role in catering to the evolving media and entertainment landscape. https://lnkd.in/gW_WJjtG https://lnkd.in/gpnAw_rK