Skip to main content

Advanced marketing analytics toolkit for customer segmentation and analysis

Project description

Marketing Analytics Toolkit

Advanced marketing analytics toolkit for customer segmentation and analysis.

Features

  • Advanced customer segmentation
  • Marketing mix optimization
  • Customer lifecycle analysis
  • Channel attribution modeling
  • Pricing optimization
  • Visualization tools

Installation

pip install marketing-analytics-toolkit

Quick Start

from marketing_analytics.models import AdvancedSegmentationModel

### Initialize model
model = AdvancedSegmentationModel(n_segments=3)

### Fit and predict segments
segments = model.fit_predict(X)

### Get segment recommendations
recommendations = model.get_segment_recommendations(0, X)

Documentation

For more detailed documentation, please refer to the documentation.

Contributing

Contributions are welcome! Please feel free to submit a pull request.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

marketing-analytics-toolkit-0.1.0.tar.gz (32.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

marketing_analytics_toolkit-0.1.0-py3-none-any.whl (38.6 kB view details)

Uploaded Python 3

File details

Details for the file marketing-analytics-toolkit-0.1.0.tar.gz.

File metadata

File hashes

Hashes for marketing-analytics-toolkit-0.1.0.tar.gz
Algorithm Hash digest
SHA256 9ede6079f46d59d155a0215e2befe4ca90931a2d6870aa194a7d9eb8b7072da7
MD5 af8405d0e2b5e488efe96b2e1493d3e8
BLAKE2b-256 6240e3f32fbd72315ff22e67440b1be925e803baaadb36832f5b139f330a05eb

See more details on using hashes here.

File details

Details for the file marketing_analytics_toolkit-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for marketing_analytics_toolkit-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 84c0c5e9b5a129c21a3227a792e42e237645fcda567dc05aebf183fcef3c1f4d
MD5 f2b80a4112b9950fe80c100e8cf85f3a
BLAKE2b-256 9e313310466d5ce2e872c44305f170dd0b3915c90c96aaedc3ede024eea8138d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page