Podcast

Future Proofing ALL of Your Data

Tracer is a data intelligence platform that simplifies data analysis for businesses. It aggregates data from various sources, including marketing platforms, point of sale systems, and Salesforce, and normalizes it for easy comparison and analysis. Tracer’s AI capabilities enable it to provide real-time insights and analysis, helping businesses make data-driven decisions. The platform is used…

Sean Simon
1–2 minutes
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Tracer is a data intelligence platform that simplifies data analysis for businesses. It aggregates data from various sources, including marketing platforms, point of sale systems, and Salesforce, and normalizes it for easy comparison and analysis. Tracer’s AI capabilities enable it to provide real-time insights and analysis, helping businesses make data-driven decisions. The platform is used by both marketing teams and non-marketing users, such as ERP providers, to centralize and understand their data.

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Takeaways
Chapters
Born Inside Vayner Media
The Importance of Ingesting ALL Data

Prevent Analysis by Paralysis
The Power of Data Normalization for AI
Brand-Agency Relationships with Data

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Takeaways

  1. Tracer simplifies data analysis by aggregating and normalizing data from various sources.
  2. The platform provides real-time insights and analysis, enabling businesses to make data-driven decisions.
  3. Tracer complements measurement and attribution vendors by providing structured data for their models.
  4. The platform helps agencies and brands overcome challenges in data management and reporting.
  5. Tracer’s ability to aggregate and analyze data from multiple campaigns and platforms saves time and resources for agencies. Tracer helps brands and agencies gain control over their marketing data and access real-time insights.
  6. The platform enables faster decision-making and optimization by centralizing data and providing a user-friendly interface.
  7. Tracer eliminates the need for lengthy transitions and data handoffs when brands switch agencies.
  8. The platform can ingest historical data as far back as needed and provides benchmarking reports and insights into platform performance and trends.

Chapters

00:00 Introduction and Overview of Tracer

03:47 The Business Problem Tracer Solves

08:11 Tracer’s Role in AI and Structured Data

10:27 Comparison to Measurement and Attribution Vendors

11:32 Challenges of Growing Tech Stacks for Brands

15:37 Use Cases for Agencies and Brands

21:38 Centralizing Data and Gaining Control

22:33 Seamless Transitions Between Agencies

26:04 Harnessing Historical Data for Insights

28:56 Tracking Platform Performance and Trends

29:50 Insights on TikTok Advertising

36:30 Getting Started with Tracer

38:30 Avoiding Pitfalls and Defining Goals

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