Marketing analytics

Marketing analytics

What Happens When You Add NVIDIA Omniverse to the Marketing Mix Modeling ?

In today’s noisy world of consumer products, grabbing attention is just as vital as delivering quality. That’s why forward-thinking CPG brands are tapping into AI—and platforms like NVIDIA Omniverse to transform their marketing from a creative guessing game into a precision growth engine. By simulating real-world outcomes, scaling influencer content across formats, and personalizing campaigns […]

Marketing analytics

Multi-Touch Attribution Models

When it comes to implementing multi-touch attribution (MTA), marketers have access to various models designed to allocate credit to different touchpoints within customer journeys. Each model offers unique strengths and weaknesses, and understanding these nuances is essential for making informed decisions. But not every model fits every scenario, so marketers must carefully evaluate their options.

Marketing analytics

Multi Touch Attribution

Figure 1.0 Understanding, Benefits, and Strategies MTAis a powerful strategy that helps marketers understand the entire customer journey by assigning credit to each touchpoint the consumer encounters before making a purchase or conversion. Unlike single-touch attribution models that give credit to only one point of interaction, MTA considers multiple interactions across several channels and platforms.

Marketing analytics

Marketing Mix Modeling Revisit

Understanding the Role of Data in Market Analytics Data-driven decision-making has become essential in modern marketing, enabling businesses to optimize their strategies and maximize return on investment (ROI). Marketing Mix Modeling (MMM) is a powerful analytical approach that helps organizations assess the impact of various marketing efforts on overall business performance. By leveraging historical data

Marketing analytics

A Data-Driven Guide to Marketing Mix Modeling

  Leveraging Data-Driven Decision In today’s fast-paced business environment, data-driven decision-making is essential for successful marketing strategies. Unlike traditional decision-making processes that rely on intuition or past experiences, data-driven decision-making leverages quantifiable data and empirical evidence to guide choices and actions. This approach not only reduces uncertainty but also enhances the precision of marketing efforts,

Out of Home
Marketing analytics

Digital and Traditional Out-of-Home (DOOH/OOH) in Media Mix Modeling

In the context of broader media mix modeling (MMM), measures derived from Digital and Traditional Out-of-Home (DOOH/OOH) advertising are crucial for understanding their effectiveness in conjunction with other media channels. Integration into Media Mix Modeling Interdependencies Between Media Channels Accounting for Interdependencies By incorporating DOOH/OOH measures into MMM, marketers gain a more comprehensive understanding of

Marketing analytics

Marketing Mix Modeling (MMM)

What is Marketing Mix Modeling (MMM)?: Marketing Mix Modeling (MMM) is an analytical technique used to determine which marketing tactics most effectively drive sales by examining historical data. It also measures the Return on Advertising Spending (ROAS), helping businesses to plan successful future campaigns, optimize budget allocation, and predict the outcomes of various marketing strategies.

Marketing analytics

MULO: Multi-Channel Markets in Circana, NielsenIQ & SPINS

Data collected from retailers has become a lifeline for CPG manufacturers. Aggregated point-of-sale (POS) data from various retailer channels is available for purchase from the three major data providers: Circana (formerly IRI), NielsenIQ, and SPINS. It is imperative that brands arrive at buyer meetings with retailers equipped with a solid foundation of data.  Historically, CPG

Scroll to Top
Kaytics - Transformative Data Analytics & AI Solutions

130 W. Liberty Drive, Suite 200, Wheaton IL 60187

212 E Lincolnway, Suite LL , Valparaiso, IN 46383

info@kaytics.com

Company

Insights