How Hurrdat Improved Creative Strategist Capacity with AI Workflows

by | Last updated May 11, 2026 | Case Studies, Digital Marketing

Read Time: 3 min read

Summary: By integrating AI into its Paid Acquisition workflows, Hurrdat reduced the time strategists spent on organizational and documentation tasks, freeing them to focus on strategy, creative development, and performance optimization. Using structured AI prompts, the team streamlined onboarding, research, creative production, and analysis while maintaining human oversight. The result was faster workflows, increased creative testing capacity, and a more scalable, insight-driven approach to paid acquisition.

Challenge: Organizational Work Was Eating Into Strategy Time

Using a traditional workflow, Hurrdat’s Paid Acquisition team found that a significant portion of strategist capacity (60-70%) was consumed by organizational and documentation tasks—such as storyboarding, formatting briefs, and compiling research—rather than strategic thinking and creative development. This imbalance created a bottleneck, limiting the team’s ability to scale creative output.

Solution: Integrating AI to Reclaim Strategic Capacity

We embedded AI directly into our Paid Acquisition workflows—developing structured Claude prompts within Microsoft Loop client workspaces. These prompts leveraged client-specific context while maintaining human oversight, confirming outputs aligned with brand guidelines and compliance standards.

Prompts were applied across four critical workflow stages, taking over the majority of organizational and documentation work:

  • Onboarding: Converting client questionnaires into testable hypotheses and emotional strategy frameworks
  • Creative Research: Synthesizing competitor insights and content trends into actionable directions
  • Creative Development: Generating storyboards, UGC briefs, and DCT ad variations
  • Performance Analysis: Interpreting platform signals to validate and refine creative hypotheses

With this system, AI reinforces strategy rather than replacing it. As Hurrdat’s Paid Acquisition Director, Ashley Marquez, explains it:

“We designed our system to embed strategic rigor at every step, turning inputs into hypotheses, hypotheses into creative, and creative into measurable learning. This unlocks not just speed, but scale with intention. You’re no longer relying on individual talent or bandwidth to drive outcomes—you’re building a repeatable engine for insight, iteration, and performance.”

Results: More Time for Strategy

Results for an internal case study on using AI to streamline Paid Acquisition workflows

By integrating AI into its workflows, Hurrdat’s Paid Acquisition team significantly reduced time spent on organizational and documentation tasks, freeing up strategist capacity for strategic thinking and creative development. This enabled faster, more consistent hypothesis-driven testing without increasing headcount.

Within our internal time-tracking, we typically saw meaningful reductions across key workflow stages, including:

  • Onboarding & Strategic Analysis: Around 60% less time spent converting client questionnaires into actionable strategy
  • Creative Research: Around 75% less time spent synthesizing competitor insights and content trends
  • Creative Development: Around 50% less time spent producing storyboards, UGC briefs, and ad variations
  • Performance Analysis: Around 60% less time spent analyzing results and generating strategic recommendations

These efficiencies translated into noticeable gains in team output and effectiveness:

  • Overall Creative Team Capacity: Roughly 40% more available strategist capacity without additional headcount
  • Creative Testing Velocity: Roughly 150-250% more creative variations tested per hypothesis, accelerating learning cycles
  • Strategic Consistency: Across tracked projects, creative assets consistently aligned to defined hypotheses and platform best practices, reducing reliance on intuition

Key Takeaways from AI Implementation

This implementation demonstrated that integrating AI into structured workflows can significantly improve both scalability and consistency, while also freeing up strategist capacity for higher-value strategic and creative decision-making.

By offloading procedural and organizational tasks to AI, Hurrdat’s Paid Acquisition team was able to increase output without increasing headcount—enabling teams to manage more campaigns efficiently without sacrificing strategy and quality.

This approach reinforces rather than replaces human expertise: AI supports the system, but strategic thinking, creative direction, and final decision-making remain human-led.

Need a more scalable, strategy-driven approach to paid acquisition? Hurrdat offers expert paid advertising services—as well as marketing services like content and SEOdesigned to drive measurable results. Get started today!

Stefanie Vanderbeek

Author

Stefanie is a Content Strategist at Hurrdat. She is the primary author on the Local Search Fuel blog. She specializes in long-form digital content, website SEO, and competitive keyword research for small and local businesses. To better optimize blog content for search engine ranking, she uses a variety of AI tools.

Stefanie lives in Omaha, NE, and graduated from the University of Nebraska-Lincoln with a Bachelor of Journalism in Advertising and Public Relations in 2021. In her free time, Stefanie can be found singing with her professional vocal jazz group, researching video game lore, watching anime, or traveling.

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