ChurnKey Reviews

Plotly Reviews

ChurnKey mentions (5)

• Business owners making $1 million or more/year, what's your industry and what do you do?

  I'm also a co-founder at Churnkey: https://churnkey.co. Source: almost 3 years ago

• What is your average churn rate monthly on your SAAS business? What you think that is a good and realistic percentage?

  At Zubtitle.com, we have been focusing on bringing churn down from 10% down to 7%. We even started a new SaaS (churnkey.co) that helps others cut churn via better cancellation flows. Source: almost 3 years ago

• We bootstrapped multiple $1m+ ARR SaaS, one was acquired at $150k/mo MRR by Calm Capital, and now we are working on a B2B SaaS. Our personal SaaS portfolios include Wavve.co, Zubtitle.com, Churnkey.co, Duplikit.co. Ask us anything!

  Most recently, we built a suite of internal tools as a way to reduce churn across all of these SaaS companies. It worked so well that we packaged them up and released them as their own product, Churnkey. We now help other SaaS companies cut churn by deploying optimized cancellation flows. Source: about 3 years ago

• Those of you who have been approached by a someone wanting to acquire your SaaS company/product, how did it happen and how did it go?

  We recently sold that business to Calm Capital. We realized that the business really needed more seasoned operators to get to it next level of growth. Plus, it was time to take some risk off the table and free up time to work on our new venture Churnkey. Source: about 3 years ago

• User churning / canceling account

  Once they are close to canceling, optimizing your cancelation flows is a great way to prevent users who are the fence about canceling. Asking survey questions, collecting information, and trying to save them with offers is a great start. We offer all of this via Churnkey. Happy to get you a free trial if you want to try it out. Source: over 3 years ago

Plotly mentions (30)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 20 days ago

• Python equivalent to power bi/power query?

  For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago

• Junior Developer asked to make Saaas in first month.

  If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago

• PSA: You don't need fancy stuff to do good work.

  Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago

• Wait, but I thought they were the same thing?

  I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago