Author name: Marketing TNT Team

Organizational Alignment: The Untapped Accelerator for Data Maturity

To stay competitive and truly unlock the transformative power of data, companies must accelerate their efforts in crafting a clear data vision and aligning it with their business objectives. This means moving beyond siloed experimentation and fragmented data ownership to foster a unified, strategic approach.  The Data Leader’s Blueprint: Vision and Alignment  Source: https://www.mmaglobal.com/files/documents/2023_mma_data_maturity_webinar_final59.pdf p.16  […]

Organizational Alignment: The Untapped Accelerator for Data Maturity Read More »

High-Impact Use Cases for Data Leaders How Data Invites Values

  Source: https://www.mmaglobal.com/files/documents/2023_mma_data_maturity_webinar_final59.pdf    Driving Revenue and Operational Efficiency  For Data Leaders, the primary objective in using consumer data is to drive top-line growth (revenue). This is consistently the leading focus, followed closely by efforts to enhance operational efficiency and margins. Unlike other marketers who might focus solely on short-term gains like Return on Ad

High-Impact Use Cases for Data Leaders How Data Invites Values Read More »

Ad Fatigue Hits Hard in Southeast Asia: 2 in 3 Consumers Tune Out Repetitive Ads 

  A new study by global advertising technology leader The Trade Desk (Nasdaq: TTD) reveals that 66 percent of Southeast Asian consumers are tuning out repetitive ads shown on a single channel. The findings in the study “The Untapped Opportunity of Omnichannel” underscore the urgent need for advertisers to move away from siloed, multichannel strategies

Ad Fatigue Hits Hard in Southeast Asia: 2 in 3 Consumers Tune Out Repetitive Ads  Read More »

It Didn’t Work… Yet: The Case for Delayed Impact in Brand Advertising

By now, we’ve all heard the complaint: “My branding campaign didn’t move the needle.” But what if that’s not true — yet?  New findings from MMA Global’s Brand as Performance (BaP) research and recent CPG case studies are challenging one of the most sacred assumptions in marketing: that we should measure impact right away. The

It Didn’t Work… Yet: The Case for Delayed Impact in Brand Advertising Read More »

Why Your AI Targeting Model Is Still Losing to a Simple Probability Rule

You’ve invested heavily in AI-driven marketing. You’ve meticulously crafted lookalike audiences, trained sophisticated machine learning models on past converters, and even experimented with real-time personalization. Yet, the results are a frustrating mixed bag: some campaigns soar, while others inexplicably fall flat.  This is the perplexing paradox of AI-driven targeting. While undeniably powerful, its performance can

Why Your AI Targeting Model Is Still Losing to a Simple Probability Rule Read More »

Scroll to Top