Jamin Ball Profile picture
Sep 24, 2020 15 tweets 3 min read Read on X
A few weeks ago I shared a graphic looking at the change in YoY growth rates for SaaS businesses from Q2 to Q1. I thought another interesting analysis would be looking at the change in net new ARR added from Q2 to Q1. The data below shows the % change: Image
To calculate net new ARR in a given quarter I first take the quarterly subscription revenue (where disclosed) and multiply it by 4 to get an implied ARR metric. I do the same thing for the quarter prior. The difference between the 2 is the implied net new ARR added in a quarter
What's graphed is the % change in net new ARR added in Q2 vs Q1.

An example: Fastly added $48.3M net new ARR in Q2 and $15.8M of net new ARR in Q1. The number shown is the growth in net new ARR 205%. (shoutout to my Fastly bulls)
Normally it makes more sense to look at growth metrics YoY. But when I look at net new ARR I like to see the number increasing on an absolute basis every quarter (positive % graphed). Even at large scale I still like to see the absolute dollar increasing.
In theory companies are not reducing the size of their sales force, so if net new ARR declined on an absolute basis the same number of sales reps sold less business one quarter vs the previous quarter (not good, less efficient)
This is a large oversimplification, and there are other factors in play like expansion bookings. Public SaaS businesses don't disclose granular bookings metrics (new logo bookings vs expansion bookings, etc), so this implied net new ARR analysis is the best we can do
The companies with positive percentages added more net new ARR in Q2 vs Q1. The companies with negative percentages added less net new ARR in Q2 vs Q1. An important point to note is that companies with negative percentages are not declining
Companies can actually decelerate overall revenue growth YoY, but still accelerate net new ARR added (which is why I wanted to look at this analysis).
An example: Okta grew revenue 46% YoY in Q1 and 43% YoY in Q2. So their growth "decelerated."

However, in Q2 they added ~$68M of net new ARR, and in Q1 they added ~$61M of net new ARR.

So even while growth decelerated, net new ARR accelerated
One of the tricky aspects of SaaS businesses is that they recognize revenue ratably over the course of a contract. So looking at GAAP revenue change doesn't always tell the full picture when trying to draw short term conclusions
This is especially true if a large percentage of new business gets signed at the tail end of a quarter.

Unfortunately I don't think billings / bookings always tell the full story either since the length of contract is not factored into either
One thing to note - many SaaS businesses don't report subscription revenue separately, so they've been left off the analysis.
Similar to the YoY growth rate analysis I did, this analysis shows the clear Covid beneficiaries are Fastly, Zoom and Shopify.

However this analysis (which I think tells a more accurate picture) also highlights others as true winners as well
For reference here is the growth rate analysis I've referenced

And one final note - Datadog will be under pressure this quarter. They're one of my favorite SaaS companies, but the drop off in net new ARR in Q2 vs Q1 was significant, and a big reason the stock dropped. I'll be watching Q3 closely for them (still long term bullish)

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More from @jaminball

Mar 2, 2023
After Q3 '22 Snowflake guided to 47% growth in 2023. Yesterday they dropped that guide to 40%. What was the cause? 3 things primarily (in ascending order of impact)

1. Change in existing customer purchasing behavior
2. Weaker new logo bookings
3. Slower ramp from newer customers
1. Change in existing customer purchasing behavior

Snowflake sells annual / multi year deals that come with minimum consumption spend. Once customers reach those committed spend levels, they have the choice to re-up with another multi-year commitment. Usually, they do...
...however, this quarter Snowflake saw more of these customers buy just enough capacity to get them through the next few months, nothing more.

Important to remember - the bigger impact of this is on bookings (more on this later), not revenue. Customers are still consuming...
Read 10 tweets
Feb 17, 2023
Some takeaways from the Datadog earnings call:

Positives
- Strongest new logo quarter
- Gross churn very low
- Healthy pipeline generation

Negatives
- More optimizations in Q4 than Q2 / Q3
- Things got worse in December
- Weak 2023 guide

$DDOG
The best summary quote from the earnings call was "Overall, we observed slower usage growth with existing customers while continuing to scale our new logo acquisition and new product cross-sells."
The tricky balance is the commentary around the record new logo quarter + strong pipeline generation with weaker near term optimization headwinds

Some quotes:

"we had our strongest new logo quarter to date, with a record level of new logo ARR bookings"
Read 9 tweets
Jan 31, 2023
Investing in infrastructure businesses, particularly data infrastructure, has been incredibly exciting over the last few years (and will continue to be!). A couple data infra stacks Im excited about

1) Analytics stack
2) Real time stack
3) Data Lake stack
4) AI stack

More below
1. The Analytics Stack (or Modern Data Stack). Typically consists of:
1) Data Source (transactional database, SaaS app, etc)
2) ELT tool (Fivetran, Airbyte, etc)
3) Data Warehouse (Snowflake, Redshift, etc)
4) Data Transformation tool (dbt)
5) BI (Looker, Sigma, etc)
We hear a lot about this stack. Budgets are massive for it, and many companies have hit escape velocity building different layers of the stack. How each vendor evolves will be interesting to watch. There are also newer parts of this stack emerging (Reverse ETL, Data quality, etc
Read 14 tweets
Dec 1, 2022
Consumption models under fire this year given easier to optimize (reduce) spend quickly. This pain happens quick.

However, everything I'm hearing pointing to new customer signups posing the biggest challenges currently, and expansion / churn seeing relatively less pressure...
...Models more reliant on new customer signups for growth feeling more pain now, vs consumption models felt it earlier in the year.

What do I think of this? 2023 might be the year consumption models actually show more resiliency (less growth decay)...
...If more of your growth is coming from scaling existing customers vs signing up new ones, it'll be easier next year when the burden of getting through procurement / legal for a new customer signup gets tougher.

Of course, it's never purely a business model question...
Read 6 tweets
Nov 30, 2022
Read through the Crowdstrike transcript. Some takeaways re macro. Let's start with the positives

1. Gross & net retention not deteriorating:

"Our dollar-based net retention rate was well above Q3 of last year and consistent with our Q2 performance, which was at the...
... highest level in seven quarters. Our best-in-class gross retention rates remained at record levels above 98%"

2. Enterprise sales cycles staying constant:

"In the enterprise, sales cycles or average days to close remain consistent with last quarter's modestly higher level."
3. Deals delayed, not lost:

"While sales cycles lengthen, we believe the vast majority of these deals are not lost, just delayed."
Read 16 tweets
Nov 29, 2022
Lots of interesting announcements from AWS at re:Invent today. Some new products, and some product enhancements. Data and Security are clearly top of mind for them. Some of my favorites below:
AWS Security Lake: A central data lake purpose built to store and analyze security data (primarily log data)

Link: aws.amazon.com/blogs/aws/prev…
AWS DataZone: data management service to catalog, discover, share and govern data

Link: techcrunch.com/2022/11/29/aws…
Read 14 tweets

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