Churn rate Puns

I work for a large agency on the West Coast. Typically, I have served as the PPC account liaison for our enterprise contracts, but due to some market events there has been some internal re-organization and I have been assigned to our new small business division.

We are developing an initiative to penetrate the segment of small businesses in the USA with online advertising presence, and will aim to provide a 360 service for these small businesses who likely don't have a lot of expertise in generating online campaigns.

What is the baseline for client retention and churn rate? Our target are small businesses with < $10MM ARR and perhaps a $1MM/YR online advertising budget. I am coming from the enterprise world where our retention is quite high (over 10 years for most clients).

Hi there -

I have a table below like this that breaks out the number of subscribers for every state by the start and end of the month:

If I were to calculate the churn rate, how would I do it?

Is it right to subtract the starting subscriber count by the ending subscriber count?

Example: New York

12,101 - 13,201 = -1,100

And then divide that number by the starting point?

(-1,100 / 12,101) = -9%

If that's correct, could there be such thing as a negative churn rate?

Does anyone know how to calculate churn rate in mailchimp? I am guessing this is a metric we have to calculate manually ourselves?

Silly question also but if the email list is increasing and growing every month due to paid advertising, does it mean that it is a negative churn rate?

Hey guys my boss is asking me to create a customer churn rate report based on month in SF and I have no idea how to do that, Please any help would be very appreciated!

I am planning to work on Conversion Rate Optimisation and Churn Rate analysis for SaaS using Machine learning. Please suggest any dataset that can be useful for both.

I am planning to do binary classification to predict customer churn & conversion and cohort analysis for churn to understand the trend

I'm trying to work out monthly growth and churn rates for a SaaS product from data in a spreadsheet and it's absolutely ripping my knitting.

To calculate existing customers, I think I use a filter on sale_date to show customers who bought before the month I'm looking at and whose end_date is the month after the one I'm looking at or beyond. Make sense?

To calculate new customers, I filter on sale_date to show customers who bought in the month I'm looking at and whose end_date is the month after or beyond.

Lastly, to calculate churn, I show customers whose sale_date is the month before I'm looking at or before and whose end_date is the month I'm looking at.

By my calculations (always wanted to say that), existing customers each month should be the sum of the existing customers from the previous month, plus the result of new customers minus churning customers.

However, in each month, the existing customers number is out - not wildly, but by several each month, which makes me think one of my filters above is miscalibrated.

I'd really appreciate any help that anyone can give me and thanks very much in advance.

Blackberry has been falling since its WSB hype. The price was not justified for the products and revenues BB was generating at the time. I notice a lot of posts on different investing subs that try to pump BB based on complete speculation/nonsense. BB is a company with a wide variety of products that rely on its core business that is security.

Last earning call Chen mentioned that QNX is embedded in 9 out of 10 automotive OEMs. Additionally, we all know the number of 175M vehicles. Which got backed with an actual percentage today on Blackberry Official Twitter account:

https://twitter.com/BlackBerry/status/1378724085648265224

They mention that QNX is in 68% of electric vehicles. This is a great number don't get me wrong. The problem I have with these numbers is that, at least for the time, there is not much to win anymore. A competitor with similar working software could come by and snap away a big chunk of this market. Note that the EV market is still growing and the market is not saturated though.

The revenue that they generated with all these deals is also not great. We can view this as a "Prime" approach that Amazon got famous for. Luring in customers with low prices such that they are accustomed to the eco-system, after which the real money can be generated. Implementing this successfully, however, is still a hard thing to do. A competitor could come by with a similar product that is more dominant and crash the party. The time and place we are in now is that revenue is not great and the potential of this model has not been shown yet.

Keep in mind that a lot of BB-holders are holding at prices >$16 and want to see BB fly as fast as possible. This also brings in a lot of speculation that promises the world and delivers nothing.

Don't hype based on nothing and be thankful that we can load up at these prices.

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I was trying to do some research on this, and can't find an answer. Currently I am at a 4.5% churn rate month to month. My new sales are 5% to 10% month to month. What is an acceptable level of new sales vs churn rate to stay profitable? Do I want double my churn? I feel like 4.5 is low already, but should I focus on lowering it even more? Or focus on getting more people to sign up?

One of the core problems I'm addressing is lead quality. Signals that I am trying to look for to address this issue are

1. high % of wasted demos that don't close,

2. high churn rate

3. ??? (anything else that someone in SaaS can provide insight)

In the discovery calls so far I'm asking about what channels they use and how many leads they get but now I'm trying to figure out how I can ask impactful questions without prospects getting mad.

Context:

In July 2020, I joined a SF-based Series C unicorn because it looked like a great fit with where I wanted to take my career. I've been enjoying my time here so far and I've been learning and growing. The company has solid financials and I think it's in a great position to be successful (possibly IPO or acquired by a larger company in a few years). I like my manager so far and appreciate all the ways he's helped me grow my career.

However, in my entire time here, I've noticed folks leaving, particularly after hitting their 1-year mark (after the 1-year cliff for options). Our engineering team is ~60 (company is around 200) and I think around 10-15 have left since my start date. Before I joined, I had a few informal zoom chats with some senior engineers and two of them have since left. There were ~5 female engineers when I joined and all but one have left. Based on LinkedIn, most folks have left for other companies, but I also know a few have left to take a sabbatical/mental health break during covid.

We're full speed ahead on hiring so our engineering team size has remained largely the same or has increased by a bit, maybe to 70. I think the emphasis on hiring is a good sign, that our business has recovered from covid and we have ambitious plans for the future. However, I'm now also wondering if there's such an emphasis on hiring because of our churn rate.

To be clear, I'm content with my day-to-day. I'm leading an interesting project that's a great learning experience (though it's on track to be wrapped up around my one-year). But I'm wondering if I'm missing anything.

Question:

Does this rate of churn seem normal? If you were in my shoes, would you be concerned? What would you ask your manager/leadership? Out of curiosity and to get other data points, what does employee churn look like at your company/team?

During the reveal and livestream, one big focus was that the balance was such that is was too powerful to keep items and upgrade them, rather than switching them out for new items. I expect in future updates there will be changes encouraging more "churn" as reynad put it, with buying and selling your existing items.

What would you say the ideal churn rate of items is, in terms of both:

• average number of items swapped each turn?
• average number of boards swapped each run? (assuming a full 10 win run)

(ideal = most fun)

Hey guys!
I am using Stripe for a year now and got a real problem:
Our business tracks everything weekly, including churn, MRR and so on.
Stripe can track MRR weekly from it's own dashboard, but unfortunately it cannot track weekly churn rate for specific products. - It just grass all the data in one single graph and we don't need it, because we have tens different products.

Can you advise how can I do that? Any platforms? I have tried profitwell, chartmogul, stripe sigma - but none of that allow me to track churn weekly for specific product.

Hey guys,
I'm trying to find all over the internet data about MMOs for my P&L forecast,
however I just can't manage to find anything of use.
The only data I find that is free or paid for a reasonable price is from 2011-2014...
Do you know of any good sources to find some useful metrics of PC MMO games? (ARPPU, conversion rate, Churn rate, MAU..)

Thank you!

Doing a cashflow for a business plan that we need to present. It us for a franchise subscription business. The data points I have are:

estimated new customers per month

% subscription attrition in 1st month of contract, 2nd month, 3rd month, 4th mon, 5th month, etc

wholesale cost of the subscription

retail value of the subscription

How do I make a formula or set of formulas that is cumulative to show total customers per month, total costs per month and total revenue per month?

Where I am, we've hit years where the entire cohort walked out within a few months of qualifying. Watching the reactions from the higher ups when a big group of seniors get the fuck outta dodge is always amusing.

This, I believe is very relevant to what is happening with FIFA.

Personally it's the last nail in the coffin for me, to think everything is 'adjusted' to keep me playing at a 50/50 win rate and (they hope) to keep us spending.

I think most of us are blinded by whet the game promises. We see the mechanics of the game (usually at demo or early access) and realise what could be, but unfortunately its just bait.

Personally I want skill to be the only deciding factor on if I win or lose. Anything else and I may as well just watch a movie of the game.

Article link below but beware - it might just be the last nail for you too.

https://arstechnica.com/gaming/2018/01/ea-has-tested-online-matchmaking-algorithms-to-favor-engagement-not-fairness/