Powerful AdTech tools, like AI and automation, are only as effective as the data that feeds them. Using your advertising data to launch campaigns faster, target more precisely, and free up your team for strategy starts with data readiness.

"The Complete Guide to Data-Powered Advertising" provides a framework for turning messy data into a strategic asset. Download the guide now and learn how to prepare your different advertising data sources for scalable AdOps.

Why should I care about data readiness for data-powered advertising?

Data readiness is a prerequisite for data-powered advertising, not a nice-to-have. Data readiness makes it possible to put strategic, data-driven decisions at the core of your advertising operations. Data readiness is also vital for maximizing your ROI from solutions like advertising automation and AI.

Many advertising teams are already investing in advanced AdTech like automation and AI. However, these tools can't deliver on their promises if they're fed poor data. Dirty data undermines your entire advertising operations. Poor data triggers errors, traps teams in time-consuming rework, and blocks access to the strategic insights that fuel your competitive advantage and client success.

When your data is properly aggregated, cleaned, and structured, you can confidently use automation and AI to:

• Launch campaigns faster by building ads directly from first-party and third-party data sources.
• Improve targeting and personalization with enriched data sets.
• Enhance reporting and measurement with a unified view of performance.
• Reduce manual work and errors by building automated workflows on consistent inputs.

What will I learn in this guide to data-powered advertising?

This guide breaks down the complex topic of data readiness into simple, actionable steps. You will get answers to these questions:

• What is data readiness? Find out how to assess if your data is ready for advertising automation and AI—and what’s at risk when it’s not.
• Why does data readiness matter for ROI? Understand the direct link between data quality and AdTech performance.
• What are the key types of advertising data? Learn about the specific data that powers your ad strategies, including campaign setup, creative assets, and audience data.
• How do you prepare your data for scalable advertising? Get a step-by-step workflow to prepare your advertising data for AI and automation:
  • Data collection: How to capture all relevant data and establish a "source of truth."
  • Data cleaning: Best practices for ensuring your data is accurate and reliable.
  • Data structuring: Formatting your data for use across multiple platforms and tools.
  • Data enrichment: Adding value and context to your data.
  • Data compliance: Ensuring your data usage adheres to privacy laws and standards.
  • Data uploading and integration: Mapping your data to the right systems for activation.

What can I achieve when advertising data is properly prepared?

The guide highlights real case studies showing how top advertisers prepared their data for automation and AI to drive business results:

• 90% reduction in budget pacing tasks, freeing up 12-15 hours of manual work per week.
• A 2.5x increase in strategist capacity by automating dynamic ad content directly from live data sources.
• 65% decrease in CPM by using prepared data in automated workflows to launch a new channel.

Get the guide and put data to work for your team

This guide provides the knowledge you need to build a structured data foundation for all your advertising investments. Ready to strengthen your competitive advantage and deliver multi-faceted results? Download the guide today.

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