Following up on our previous post The SaaS Metrics That Matter, this post breaks down the most important sales pipeline metrics to add to your reporting stack.
I’ve actually built the most flexible dashboard encompassing all of these dashboard views into a single cohesive picture. This data is insanely hard for person > account > opportunity >sales many:many database relationship management, but I’ve solved it through Tableau using their flexible visualization tool. Maybe we can chat about this some time David?
tracking sales pipeline metrics is where most founders avoid reality - knowing your conversion rates at each stage and actual cycle times prevents optimistic forecasting disasters.
Mr. Sacks — your argument that the AI race will ultimately be decided by who controls the global tech stack is exactly right.
I’ve been exploring a related idea: frontier AI firms may generate enormous revenue yet still lose if they fail to secure embeddedness inside sovereign decision systems.
Revenue measures adoption. Structural power measures dependency.
Great framework. One thing I’d add from the rep’s seat: metrics tell you what’s happening, but not always why. A deal stuck in a stage might look like a conversion problem - but sometimes it’s just a buyer navigating internal politics you can’t see in the data. The best forecasting I’ve seen combines these numbers with actual conversation context. Metrics without narrative can mislead.
Effective analytics are the bedrock—they offer clarity, foster transparency, and incentivize business outcomes that matter. But numbers alone aren’t enough. True success comes when buyer and seller meet with aligned expectations and mutual understanding. The most powerful systems don’t add friction—they integrate seamlessly with workflow, guide behavior, and lighten the cognitive load of staying ahead. Analytics should support, not distract, from execution.
To seed, build, and nurture timeless, intangible human capitals — such as resilience, trust, truth, evolution, fulfilment, quality, peace, patience, discipline, relationships and conviction — in order to elevate human judgment, deepen relationships, and restore sacred trusteeship and stewardship of long-term firm value across generations.
A refreshing take on our business world and capitalism.
A reflection on why today’s capital architectures—PE, VC, Hedge funds, SPAC, Alt funds, Rollups—mostly fail to build and nuture what time can trust.
“Built to Be Left.”
A quiet anatomy of extraction, abandonment, and the collapse of stewardship.
"Principal-Agent Risk is not a flaw in the system.
This is a great breakdown of the key sales pipeline metrics. I like how you really focused on the importance of tracking each stage and how it can impact forecasting growth. It's a reminder that focusing on reliable data and not just gut feelings is crucial for SaaS success. How do you think companies can balance optimizing their pipeline with maintaining customer relationships?
Great outline of the key metrics that drive a sales pipeline, what it reinforces for me is that SaaS isn’t a fundamentally unique business model. The pipeline metrics outlined and approached outlined in this post could just as easily be describing a more rudimentary services (consulting firm, law firm, accountant advisory) as a SaaS business. A SaaS business is just a service business in which software is a core component of there services the business offers - the levers to optimise are the same as any service business 1. Asset development 2. Monetisation. I use a simple framework as a lens to understand and optimise the drivers of a business which I covered in a post on my page
Hi David, we at RevSure.AI focus on Predictive Pipeline Health (what if I could predict the quality of each of your pipeline metrics for this and future quarters? Not a look back but a look forward)
I’ve actually built the most flexible dashboard encompassing all of these dashboard views into a single cohesive picture. This data is insanely hard for person > account > opportunity >sales many:many database relationship management, but I’ve solved it through Tableau using their flexible visualization tool. Maybe we can chat about this some time David?
tracking sales pipeline metrics is where most founders avoid reality - knowing your conversion rates at each stage and actual cycle times prevents optimistic forecasting disasters.
Mr. Sacks — your argument that the AI race will ultimately be decided by who controls the global tech stack is exactly right.
I’ve been exploring a related idea: frontier AI firms may generate enormous revenue yet still lose if they fail to secure embeddedness inside sovereign decision systems.
Revenue measures adoption. Structural power measures dependency.
Curious for your take.
https://substack.com/@dimitriuspacheco/note/c-222181241?r=1mx0qo&utm_medium=ios&utm_source=notes-share-action
I love the rigor here. It forces founders to move from 'gut feel' forecasting to data-driven execution.
Great framework. One thing I’d add from the rep’s seat: metrics tell you what’s happening, but not always why. A deal stuck in a stage might look like a conversion problem - but sometimes it’s just a buyer navigating internal politics you can’t see in the data. The best forecasting I’ve seen combines these numbers with actual conversation context. Metrics without narrative can mislead.
This is great, thanks!
Effective analytics are the bedrock—they offer clarity, foster transparency, and incentivize business outcomes that matter. But numbers alone aren’t enough. True success comes when buyer and seller meet with aligned expectations and mutual understanding. The most powerful systems don’t add friction—they integrate seamlessly with workflow, guide behavior, and lighten the cognitive load of staying ahead. Analytics should support, not distract, from execution.
Hello there,
Huge Respect for your work!
New here. No huge reader base Yet.
But the work has waited long to be spoken.
Its truths have roots older than this platform.
My Sub-stack Purpose
To seed, build, and nurture timeless, intangible human capitals — such as resilience, trust, truth, evolution, fulfilment, quality, peace, patience, discipline, relationships and conviction — in order to elevate human judgment, deepen relationships, and restore sacred trusteeship and stewardship of long-term firm value across generations.
A refreshing take on our business world and capitalism.
A reflection on why today’s capital architectures—PE, VC, Hedge funds, SPAC, Alt funds, Rollups—mostly fail to build and nuture what time can trust.
“Built to Be Left.”
A quiet anatomy of extraction, abandonment, and the collapse of stewardship.
"Principal-Agent Risk is not a flaw in the system.
It is the system’s operating principle”
Experience first. Return if it speaks to you.
- The Silent Treasury
https://tinyurl.com/48m97w5e
This is excellent
So wonderful great job 👏
Hi I’d love a read as I dive into the ethics of tech through the lens of Japanese animation
https://open.substack.com/pub/davidfoye/p/akira-and-the-ethics-of-technological?r=4g90ob&utm_medium=ios
Love your work mate
Please pass this onto the Don
A little poem I wrote below
Trump
Fight! fight! fight!
with a fist resolute
stares down his sniper
with fearless repute
Others would dive
take cover and cower
Cometh the man
cometh the hour
Here’s a guy that wears
a combover proud
Has an orange spray tan
and is a little too loud
Here’s a guy that
doesn’t care what they say
He’s gonna do it right
and do it his way.
Here’s a guy
that the dems detest
along with therians, trans and well you know the rest.
Here’s a guy that talks no BS
Twice he’s come in to clean up a mess.
To rebuild his wall
that a puppet pulled down
Don’t start me on Biden
man what a clown
pour Biden just stood there
and took all the flack
While the demi elites
put knives in his back
Here’s a guy that
will cut through red tape
With his sharpie anew
EO’s will reshape
From Paris to tariffs
to border control
Sickem doge
may bloated heads roll.
Speak freely my friends
don’t fear to be heard
For woke will no longer
be the last word
Now males and females
can identify as such
Finally a minority
wont dictate as much
Now the man is not perfect
He’d be the first to agree
But you know what he stands for
O’er the land of the free
Love him or hate him
It must be said Trumps got balls
There’s a new sense of purpose
in these republican halls
Surrounded by a team
unlike any before
May they reshape the values
Our fathers fought for
So dear Mr Trump
I wish you Godspeed
On all that you do
On every good deed
When history looks back
Upon your term, and upon thee
May well you be judged
and may she smile happily.
Utopiates
Sunday Feb 9th, 2025
DJT, A very unintelligent self serving narrow minded individual.
This is a great breakdown of the key sales pipeline metrics. I like how you really focused on the importance of tracking each stage and how it can impact forecasting growth. It's a reminder that focusing on reliable data and not just gut feelings is crucial for SaaS success. How do you think companies can balance optimizing their pipeline with maintaining customer relationships?
Great outline of the key metrics that drive a sales pipeline, what it reinforces for me is that SaaS isn’t a fundamentally unique business model. The pipeline metrics outlined and approached outlined in this post could just as easily be describing a more rudimentary services (consulting firm, law firm, accountant advisory) as a SaaS business. A SaaS business is just a service business in which software is a core component of there services the business offers - the levers to optimise are the same as any service business 1. Asset development 2. Monetisation. I use a simple framework as a lens to understand and optimise the drivers of a business which I covered in a post on my page
https://open.substack.com/pub/businessbydandwobeng/p/2x2-framework-2-types-of-business?utm_source=app-post-stats-page&r=4mz7km&utm_medium=ios
Hi David, we at RevSure.AI focus on Predictive Pipeline Health (what if I could predict the quality of each of your pipeline metrics for this and future quarters? Not a look back but a look forward)
VCs are dead, and have fcked the companies they invested in ? .. thats the gist here .. prove me wrong https://open.spotify.com/episode/6CrVN6FWaqT6iEqiDSwaEa?si=x0yiCpY5TGiA2Qd6L-g6Fw