Saving an AdTech SaaS $500k Per Year With AI Automation
How we helped a data analytics and measurement company automate manual processes, saving $500k annually and freeing up 900 hours monthly across analytics and tagging teams.
Our Impact
We implemented intelligent data processing solutions that automated manual workflows for both the analytics and campaign tagging teams, enabling the company to scale efficiently while maintaining high-quality client deliverables and improving client experience.
Automated data processing workflows to eliminate manual data entry and validation tasks for the analytics team
Implemented intelligent data input systems that reduced processing errors and eliminated week-long reporting delays
Built automated campaign tagging systems that streamlined the tag creation and delivery process
Freed up 900 hours monthly across both teams, enabling 2x client capacity without additional hires
The Vision
A growing data analytics and measurement company was experiencing significant operational bottlenecks that were limiting their ability to scale and deliver timely insights to clients. Two critical areas were consuming excessive manual labor. The analytics team had 5 members spending 50% of their time (20 hours per week each) on manual data processing—getting client data into spreadsheets, manually checking data accuracy and consistency, and matching client data to internal database schemas. When clients sent incorrect data formats, reporting was delayed by an entire week, creating customer success delays. The team couldn't take on additional clients without hiring more analysts. The campaign tagging team had 5 members spending 50% of their time on manual processes—manually receiving campaign lists from clients, creating custom tracking tags for each campaign, and sending tags back to clients for implementation. This cumbersome process created delays, poor client experience, and tied up high-skill team members with repetitive administrative tasks.
Our Approach
We developed a comprehensive data processing automation strategy that addressed both critical workflow bottlenecks. Our solution focused on intelligent data input processing, automated validation systems, and streamlined data transformation workflows for the analytics team. We implemented automated campaign tagging systems that eliminated manual tag creation and delivery processes. We built scalable data processing infrastructure that could handle increased volume while maintaining accuracy and reducing manual intervention, enabling the company to scale without proportional headcount increases.
The Results
$500k annual cost savings - Total annual savings through automated data processing and tagging workflows
900 hours monthly time savings - Hours freed up monthly across analytics and tagging teams
2x increase client capacity - Ability to handle double the client volume without additional hires
500% reduction delayed reports - Reduced the number of delayed client reports, resulting in improved client experience
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