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Prescient

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"AI-powered ad spend optimization tool."

Case Study
Frequently Asked Questions
This company provides a tool that uses AI to optimize your ad spend, helping you understand which campaigns work best and how to allocate your budget effectively. It's fast, insightful, and helps drive better revenue outcomes.
CUSTOMER SEGMENTATION
BlurbSTAR Case Study
Eko Health & Prescient AI
Prescient doubled Eko's ROAS via optimized marketing mix models.
2x
ROAS increase
48%
revenue lift
This profile remains unclaimed. Blurbs can only offer a partial, unverified case study.
1.
Situation
Eko Health's Advertising Challenge
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Need for better revenue incrementality
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Tracking tools were becoming unreliable
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Desire for specific, rapid insights
Eko Health designs and develops digital stethoscope technology, utilizing AI-powered algorithms to help healthcare professionals detect various heart diseases. Eko wanted to leverage Marketing Mix Models (MMM) to generate incremental revenue. Despite their satisfactory performance data from Google Analytics and other channels, the team suspected there were additional efficiencies they could uncover through predictive modeling. As traditional tracking tools became less reliable, Joe Tertel, Senior Director of Consumer and Performance Marketing at Eko, sought a faster, more precise solution for their unique product line.
2.
Task
Adopt Effective MMM Solution
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Optimize budget utilization
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Seek in-depth, timely insights
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Measure non-Amazon campaign impact
Eko Health aimed to find an MMM that provided comprehensive and granular insights into their budget and media spend's impact on revenue. The goal was to discover a tool that offered quick, hyper-specific recommendations tailored to Eko's unique requirements, allowing them to optimize their ad spend efficiently. They needed a solution that reduced dependency on external data models and provided credit to campaigns run on non-major media channels like Amazon.
3.
Action
Implementation of Prescient AI
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Seamless integration with rapid insights
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Granular top-of-funnel revenue analysis
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Accurate, real-time budget recommendations
Eko Health integrated Prescient AI’s custom-built MMM solution that provided near-perfect spend forecasting. On the same day of data connection, actionable recommendations began to flow in. Eko implemented these recommendations within the first week, witnessing a positive impact on ROAS metrics. Prescient’s platform detailed insights across campaigns and channels, highlighting immediate and future revenue impacts. Granular top-of-funnel insights helped Eko optimize spend in real-time, supported by highly accurate budget allocation algorithms. Prescient's forecasting accuracy reached within 2% of real data up to 84 days out.
4.
Result
Increased Revenue and Efficiency
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30% increase in ad spend
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48% revenue lift and 2x ROAS
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Ongoing granular insights supporting growth
Eko Health increased its ad spend by 30%, capitalizing on the insights provided by Prescient. The implementation of Prescient’s MMM led to significant improvements: a 48% revenue lift, a doubling of ROAS, a 43% growth in website traffic, and more efficient ad spend. Prescient’s platform proved vital for continuous campaign optimization by illustrating how media spend impacted incremental revenue. The Eko team is now leveraging these insights for even more granular modeling, supporting their growth targets with enhanced precision.
Keywords
EKO HEALTH
PRESCIENT AI
MARKETING MIX MODELS
INCREMENTAL REVENUE
ROAS
AD SPEND OPTIMIZATION
AI-POWERED ALGORITHMS
PREDICTIVE MODELING
DIGITAL PERFORMANCE MARKETING
CAMPAIGN OPTIMIZATION
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