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Anastasia Reusova
Anastasia Reusova

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Published in Towards Data Science

·Aug 4

Looking for Power User Journeys

A BigQuery SQL + Data Studio Solution — This is a follow-up post to this post where I shared how BigQuery data can be used to understand user journeys. We used a similar framework in a luxury e-commerce setup, and it’s been quite beneficial not only to understand what our users do, but also realize the areas of…

Data Science

16 min read

Looking for Power User Journeys in E-commerce
Looking for Power User Journeys in E-commerce

Published in Towards Data Science

·Jul 6

Find Your Power Users Using BigQuery Firebase Data

Understand user journeys without investing in a third-party tool — If you use Firebase and BigQuery, here’s how you can tap into clickstream data from iOS native app and turn it into actionable insights about user journeys. You don’t need any third-party apps for it, and you can customize your analysis for the deep dives. Untapped Goldmine of Clickstream Data If you’re using Firebase for…

Growth Hacking

7 min read

Find Your Power Users Using BigQuery Firebase Data
Find Your Power Users Using BigQuery Firebase Data

Published in Towards Data Science

·Nov 8, 2020

Customer Lifetime Value via Retention — in Python, using Pandas and Numpy

On a Subscription Based Example — Consider these as primers to customer lifetime value: these 3 parts are quite easy to digest and will give you a good intro to LTV. In Part 1, I went through the logical piece, so if you’re interested, go check it out! In (a small) Part 2, I showed an…

Growth Hacking

7 min read

Customer Lifetime Value via Retention — in Python, with Pandas and Numpy
Customer Lifetime Value via Retention — in Python, with Pandas and Numpy

Sep 6, 2020

Weighted Cohort Lifetime

As a Sum of Cohort Retention, not a Proof but an Experiment A Bit of Inspiration This is a short-read follow-up post to the one I wrote on determining the average lifetime value of a cohort using retention, which you can find here. There, I have suggested a way how you…

Growth Hacking

4 min read

Weighted Cohort Lifetime
Weighted Cohort Lifetime

Published in The Startup

·Aug 3, 2020

Estimating Customer Lifetime Value Via Cohort Retention

CLV or LTV as they call it — This is Part I of the two-part series dedicated to estimating customer lifetime value. In this post, I will describe how to estimate LTV, on a conceptual level, in order to explain what we’re going to be doing in Part II with the Python code. First of all, why LTV…

Data Science

7 min read

Estimating Customer Lifetime Value via Cohort Retention
Estimating Customer Lifetime Value via Cohort Retention

Published in Towards Data Science

·Mar 25, 2019

Web Scraping: A Less Brief Overview of Scrapy and Selenium, Part II

Scrapy + Selenium to scrape Airbnb (Python code included) — “The first rule of web crawling is you do not harm the website. The second rule of web crawling is you do NOT harm the website.” In my previous blog post (link here), I gave an overview of using Scrapy and Selenium for web scraping. I focused on the learning…

Python

16 min read

Web Scraping: A Less Brief Overview of Scrapy and Selenium, Part II
Web Scraping: A Less Brief Overview of Scrapy and Selenium, Part II

Published in Towards Data Science

·Dec 4, 2018

Web Scraping: A Brief Overview of Scrapy and Selenium, Part I

Thoughts on a scraper design that could save your time — In this post, I am sharing my first experience with web scraping and the tools I have used (Scrapy and Selenium). I hope this piece will be helpful to someone seeking for general guidance as I am covering the learnings I find valuable and things I wish I knew when…

Python

7 min read

Web Scraping: A Simple Way to Start (Scrapy and Selenium, Part I)
Web Scraping: A Simple Way to Start (Scrapy and Selenium, Part I)

Published in Towards Data Science

·Apr 1, 2018

Hierarchical Clustering on Categorical Data in R

This was my first attempt to perform customer clustering on real-life data, and it’s been a valuable experience. While articles and blog posts about clustering using numerical variables on the net are abundant, it took me some time to find solutions for categorical data, which is, indeed, less straightforward if…

Data Science

14 min read

Hierarchical Clustering on Categorical Data in R
Hierarchical Clustering on Categorical Data in R
Anastasia Reusova

Anastasia Reusova

Growth Hacking & Data Science

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