Shakudo

Use Case

Calculate and Optimize Customer Lifetime Value Metrics

SEE IN ACTION

Trusted By Industry Leaders

Maximizing Revenue Through Data-Driven Customer Lifetime Value Optimization

Shakudo revolutionizes Customer Lifetime Value (CLV) analysis by providing a comprehensive, AI-powered solution for businesses. This platform seamlessly integrates advanced analytics tools, enabling organizations to accurately calculate, predict, and optimize CLV metrics with unprecedented ease and accuracy.

  • Real-time CLV forecasting with machine learning models for proactive decision-making
  • Automated customer segmentation and personalized engagement strategies
  • Interactive dashboards for tracking CLV impact on overall business performance
  • Recommended Data & AI Stack

    Unlock the full potential of your customer relationships with advanced Customer Lifetime Value (CLV) analytics. This solution empowers businesses to make data-driven decisions that significantly boost customer retention and overall profitability.

    By harnessing the power of Snowflake and dbt, you'll transform raw customer data into actionable insights. PyTorch's machine learning capabilities enable precise predictions of future customer behavior and value, while Metabase provides intuitive visualizations that make these insights accessible to all stakeholders.

    The result is a comprehensive understanding of your customer base, allowing for hyper-targeted marketing campaigns, personalized customer experiences, and optimized resource allocation. MLflow and Windmill ensure your models and workflows remain cutting-edge and efficient.

    Building this CLV optimization system from scratch typically requires several months of development. Shakudo's platform allows you to deploy it within hours, rapidly accelerating your path to enhanced customer relationships and increased revenue.

    Testimonials

    Driving Innovation Across Industries

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    | global real estate investment

    "We chose Shakudo over alternatives because it gave us the flexibility to use the data stack components that fit our needs knowing that we can evolve the stack to keep up with the industry. Deployment was a breeze compared to other Enterprise deployment cycles."

    Neal Gilmore

    Senior Vice President, Enterprise Data & Analytics
    @ QuadReal Property Group
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    | climate-based financial risk

    "With the help of the Shakudo platform, we were able to massively scale our production pipelines, while working collaboratively to meet our product goals."

    Andrew Wiebe

    Chief Science Officer @ RiskThinking.AI
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    | Digital Experience Intelligence

    "Almost overnight, Shakudo's product helped us move past many of those struggles so we could focus on solving business problems instead of scaling infrastructure."

    Adam Dille

    SVP of Product & Engineering @ Quantum Metric
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    | Energy payments platform

    "Not very often I find slam dunk products like Shakudo!"

    Mike Kirkup

    Chief Technology Officer @ EnPowered
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    | Basketball Team

    "In the last two months, we’ve been able to produce four applications that amount to $100,000 in terms of return on operation, so real efficiency gains."

    Ben Levicki

    AI Solutions Architect @ Cleveland Cavaliers