Marketing use case
Customer Lifecycle
Turn customer behavior into your competitive advantage by predicting, personalizing, and growing with precision.
- Easy setup, no data storage required
- Free forever for core features
- Simple expansion with additional credits
Time to first value
Man-days saved per year
Faster than spreadsheets
Dashboard shown is a conceptual example. Keboola integrates with any BI or analytics platform.


Dashboard shown is a conceptual example. Keboola integrates with any BI or analytics platform.


Overview
What this use case actually does.
Plug into what you already run
Your ERP, CRM, planning tools, warehouse — connected without replacing anything.
Governed, not glued together
Versioned transformations, lineage, and audit trail — every number traces to source.
Live in 8 weeks, owned by your team
Not a black box — your team configures, extends, and runs it from week one.
Turn customer behavior into your competitive advantage by predicting, personalizing, and growing with precision.
Keboola offers ecommerce and retail teams comprehensive visibility into customer behavior across every touchpoint—from discovery to purchase to returns. Ideal for digital-first scale-ups and omnichannel retailers ready to unlock advanced insights, this use case unifies fragmented data sources like Shopify, Google Analytics, CRMs, and ESPs into actionable insights. Empower your teams to deliver personalized customer experiences, proactively reduce churn, and reliably forecast future revenue based on real-time customer actions.
What Keboola does
What Keboola actually delivers.
No magic, no replatforming. Just connectors, governed transformations, and outputs your team owns from day one.
Full Journey Across Touchpoints
Seamlessly integrate data from multiple sources like Shopify, Google Analytics 4, CRM and ESP tools.
Real-Time Lifecycle Insights
Track customer actions end-to-end, from initial browsing through repeat purchases.
Behavior-Based Campaign Personalization
Dynamically segment customers by actual behaviors, enabling targeted and timely messaging.
Proactive Forecasting & Automation
Use predictive models and real-time dashboards to anticipate customer actions, automate retention campaigns, and enhance revenue forecasting accuracy.
Connectors
Out of the box. No replacements.
This use case typically uses 15 connectors. Keboola ships 700+ more for the long tail.













































Tangible deliverables
What lands in your team's hands.
Each role gets the format and the detail they need — already configured. Not slideware.
Customer Experience & CRM
First-to-second purchase conversion rate. Repeat purchase frequency. Customer churn risk score & alerts. Customer Lifetime Value (LTV) by segment. Average time between purchases
Retention Marketing & Growth:
Customer Acquisition Cost (CAC) by channel. Retention rate by campaign/channel. New vs. returning customer mix. Time to repurchase (repeat delay). Conversion rate by lifecycle stage
Analysts & Product Leads
Revenue prediction by customer cohort. Propensity to repurchase. Predicted segment movement (new → loyal → churn). Customer Lifetime Value vs. CAC ratio. Return rate impact on LTV
Talk to a
real human.
No bots, no SDR call sequence. A solutions engineer who runs use cases like this every single day.

Questions & answers
Things people always ask.
Everything your team, IT, and procurement will want to know — up front.