Skip to main content

Product analytics and marketing optimization framework based on deep user trajectories analysis

Project description

Retentioneering is the framework to explore, grow and optimize your product based on deep analysis of user trajectories. Retentioneering provides systematic and quantitative approach to search for insights, continuous KPI optimization, product improvement and marketing optimization.

Retentioneering analysis can: - Reveal why customers leave your product and reduce churn rate - Increase conversion rate and engagement as well as LTV, ARPU, NPS and ROI - Identify hidden patterns how customers use your app or website - Improve the quality of incoming traffic due to personalization of advertising and increase its conversion to applications

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

retentioneering-2.0.2.tar.gz (50.6 kB view details)

Uploaded Source

Built Distribution

retentioneering-2.0.2-py3-none-any.whl (818.1 kB view details)

Uploaded Python 3

File details

Details for the file retentioneering-2.0.2.tar.gz.

File metadata

  • Download URL: retentioneering-2.0.2.tar.gz
  • Upload date:
  • Size: 50.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for retentioneering-2.0.2.tar.gz
Algorithm Hash digest
SHA256 c3be734a6d666e7f7f76b12308fd1a42323dc263daa8e6718bf6d2ffeeccdfc0
MD5 311b65ef256db51246172ee3ea48ccc3
BLAKE2b-256 1de483fa28822e2db6bca8fbe26f9b0c25222a5b4637776b8ec48f425500c346

See more details on using hashes here.

File details

Details for the file retentioneering-2.0.2-py3-none-any.whl.

File metadata

  • Download URL: retentioneering-2.0.2-py3-none-any.whl
  • Upload date:
  • Size: 818.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.5

File hashes

Hashes for retentioneering-2.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 885f97115dd51942986506b5b65bac4357d0e129beb5b66f99d5a786ace61c94
MD5 8903e1a97c0b4ac0bd753cb7ab27929d
BLAKE2b-256 9eaddfb535e8f6aefcf295e5589cf594c9e45eb2062414eb02d09396dcc9198d

See more details on using hashes here.

Supported by

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