Shakudo

Use Case

Segment Customers Intelligently for Targeted Marketing

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TABLE OF CONTENTS

Marketing budgets go out the door on generic campaigns. The email goes to everyone. The offer fits no one. Open rates sit low, and the budget burns on customers who were never going to buy. The root cause is segmentation, which is manual, stale, and built from gut feel. The plan chases last quarter's customers and misses this quarter's buyers.

AI segmentation fixes the root. It reads the full customer data, purchases, behavior, engagement, and firmographics, and groups customers by what they actually do. The segments track a live behavioral picture, so the plan follows the customer as the customer changes. Campaigns then speak to each segment in its own language, with the offer and channel that segment responds to. Building a comprehensive marketing analytics platform in-house typically requires 2 to 4 months of development. Shakudo's solution cuts that to a few days, and the first segments are live before the next campaign is due.

What Shakudo delivers

Shakudo deploys an AI customer segmentation platform that turns raw data into live segments. Campaigns target the right customers with the right message at the right time. Engagement rises, and the budget stops paying for audiences that will not convert. The segments refresh as new data lands, so the plan stays current without a quarterly rebuild, and the marketing team works from segments the model keeps up to date on its own.

How it works

The platform pulls customer data from CRM, web, product, and commerce sources into one place. DBT cleans, transforms, and standardizes it into an analysis-ready model, so the model trains on clean tables with consistent definitions across sources. Snowflake stores the data at scale, and the whole pipeline runs without a separate data platform. The unified model means a customer's web behavior, purchases, and CRM notes line up under one ID, so the model sees the whole customer in one record. PyTorch models predict customer behavior: which segments will respond to which offers, which customers are at risk of churning, and which are ready to buy next month. MLflow manages the model lifecycle across retraining cycles, so each segment refresh is tied to a versioned model. n8n automates the workflows, so a new segment becomes a campaign draft in the tool the team already uses, with no manual export. Metabase shows the results in plain-language dashboards the whole team reads.

Who it is for

Marketing, lifecycle, and CRM teams at B2B and B2C companies that run multi-channel campaigns on real customer data. The core users are marketing ops and lifecycle managers, supported by the data team that maintains the transformation layer and the model registry.

Frequently asked questions

How does AI segmentation differ from manual audience tags?

Manual tags freeze the customer in the last quarter. The AI reads behavior that updates daily and re-groups customers as they change. A customer who was a one-time buyer last month can become a high-intent segment member this week, and the campaign follows the movement without a manual re-tagging pass.

Do the segments refresh on their own?

Yes. n8n automates the pipeline, so new data lands, the model re-scores, and the segments update without a manual rebuild. MLflow tracks the model versions behind each refresh, so the team can see exactly what changed and why the segment moved.

How long does the platform take to deploy?

Shakudo deploys the solution in days. Assembling a comparable platform in-house takes 2 to 4 months of development. The first segments are live in the first week, and the team runs the next campaign on AI-built audiences from there, with Metabase tracking the lift against the old manual segments.

For targeted marketing, that means every dollar reaches a customer who is likely to respond. Book a demo and see AI segmentation lift engagement and cut wasted spend.

AI-Driven Customer Segmentation: Revolutionizing Targeted Marketing Campaigns

Shakudo empowers businesses to leverage advanced AI and data tools for precise customer segmentation. This solution enables organizations to create highly targeted marketing campaigns, optimize resource allocation, and significantly improve ROI on marketing spend.

  • Dynamic customer segmentation based on real-time behavioral data and AI-driven insights
  • Automated campaign personalization and performance tracking across multiple channels
  • Scalable architecture that seamlessly integrates with existing CRM and marketing automation systems
  • Shakudo Drives Innovation Across Industries

    Testimonial Image

    Retail | largest food retailer in Canada

    "Shakudo cut our AI tool deployment from 6-month procurement cycles to same-day delivery. Without that speed, we wouldn't meet production timelines."
    Charu Pujari
    Senior Vice President, AI & Engineering
    @ Loblaw Digital
    Testimonial Image

    real estate | $77.6 Billion AUM

    "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."
    Neal Gilmore
    Senior Vice President, Enterprise Data & Analytics
    @ QuadReal Property Group
    Testimonial Image

    Healthcare | #1 Software for Autism and IDD Care

    "We use Shakudo to shorten development time and time to impact. The platform provides us with a value-added shortcut to get from Point A to Point Z much faster. It’s now weeks or months vs months and years."
    Chris Sullens
    CEO @ CentralReach
    GALLO

    Beverage | 70+ million cases shipped annually

    "What drew me in is simple. When developers ship production-ready code this quickly, how can I have environments spun up fast enough? Shakudo is how we close that gap."

    Robert Barrios
    Chief Information Officer @ GALLO
    FlexiVan

    Logistics | 120,000+ intermodal chassis

    "Shakudo does not just provide the platform. It is a real partnership. They are always there to help and execute our vision faster and the right way. It is like a co-team working together to achieve our goals."

    Sagar Chikkala
    Chief Information Officer @ FlexiVan
    Whitecap Resources

    Oil & Gas | 375,000 boe/d across Western Canada

    "We started out with Shakudo about a year and a half ago as a way to build a foundational data layer for our analytics. … What started out as the foundational layer, which we needed, will turn into really an advanced AI tool for our business."
    James Wakelin
    Director of Business Intelligence @ Whitecap Resources