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Introduction

Brands often struggle with repetitive email tasks — setting up campaigns, creating segments, tracking behavior, and analyzing how everything performs. Doing this manually drains time and creates gaps in communication, especially when customer groups keep changing. This automation handles those tasks end-to-end, delivering consistent engagement and measurable growth across the customer lifecycle.

Smarter Customer Engagement for Growing Brands

• Automatically tailors email flows around customer behaviors and lifecycle stages.
• Speeds up campaign deployment with reusable templates and automated content generation.
• Improves retention by delivering the right message to the right segment at the right moment.
• Reduces human error through consistent automated logic.
• Enables teams to focus on creative strategy rather than operational busywork.

Core Features

Feature	Description
Automated Audience Segmentation	Groups users dynamically using behavioral, purchase, and engagement data.
Campaign Orchestration	Builds and deploys recurring campaigns without manual setup.
Template Rendering	Uses modular components to generate customized email templates.
Event-Triggered Flows	Sends automated messages when users meet specific lifecycle criteria.
Performance Analytics Engine	Tracks open rates, clicks, conversions, and retention behavior.
Error Handling & Recovery	Retries API failures, logs errors, and prevents message duplication.
Configuration Framework	Centralized YAML/ENV configuration for simple customization.
Data Integration	Pulls user and event data directly via Klaviyo APIs.
Edge Case Handling	Manages empty lists, missing attributes, and invalid payloads gracefully.
API Rate Limit Protection	Built-in cooldown intervals and throttling logic.
Behavioral Prediction Module	Optional scoring layer for engagement probability.
...	...

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How It Works

Step	Description
Input or Trigger	The system begins when new subscriber data, purchase events, or scheduled tasks activate the workflow.
Core Logic	Data is validated, processed, and segmented; the engine composes templates and prepares campaign payloads.
Output or Action	Campaigns, flows, or automated messages are created and queued in Klaviyo with updated segmentation.
Other Functionalities	Robust logs, retry mechanisms, segmentation audits, and parallel processing where safe.
Safety Controls	Rate-limit protection, safe-send logic, compliance checks, and randomized timing for high-volume messaging.
...	...

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Tech Stack

Component	Description
Language	Python
Frameworks	FastAPI (optional service layer)
Tools	Klaviyo API, Jinja2, Requests
Infrastructure	Docker, GitHub Actions

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Directory Structure

klaviyo-python-ecrm-campaign-automation-bot/
├── src/
│   ├── main.py
│   ├── automation/
│   │   ├── segmentation_engine.py
│   │   ├── campaign_manager.py
│   │   ├── template_renderer.py
│   │   ├── analytics_processor.py
│   │   └── utils/
│   │       ├── logger.py
│       │   ├── klaviyo_client.py
│   │       └── config_loader.py
├── config/
│   ├── settings.yaml
│   ├── credentials.env
├── logs/
│   └── activity.log
├── output/
│   ├── results.json
│   └── report.csv
├── tests/
│   └── test_automation.py
├── requirements.txt
└── README.md

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Use Cases

• Ecommerce teams use it to automate lifecycle emails, helping them increase returning customer revenue.
• Marketing managers use it to keep campaigns running consistently without manually scheduling every send.
• Brands with growing audiences use it to maintain personalized engagement across large segments.
• Retention teams use it to identify disengaged users and trigger targeted win-back sequences.

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FAQs

Does it support dynamic audience updates?

Yes — segments are recalculated automatically based on the latest user events and properties.

Can templates be customized?

All templates are modular, allowing complete control over blocks, layouts, and dynamic content.

How are API failures handled?

The system includes retry logic, exponential backoff, and detailed logs to ensure reliability.

Is scheduling available?

Campaigns and flows can run on defined schedules or trigger based on real-time user events.

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Performance & Reliability Benchmarks

Execution Speed: Processes 1,500–3,000 user records per minute depending on API limits. Success Rate: Maintains a 93–94% delivery and data-processing success rate with retries enabled. Scalability: Handles 50–500 concurrent segmentation or campaign tasks without performance degradation. Resource Efficiency: Typical runtime worker uses 150–300MB RAM and low CPU overhead. Error Handling: Includes structured logs, backoff strategies, recovery workflows, and flow-safe retry patterns.

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