Ryan Deiss ✓
@ryandeiss · Austin, TX · joined 15 Sep 2008
I tweet about bootstrapped growth and how to scale without sacrificing your soul. https://t.co/CQ7epTzlTk - $200M+ annual portfolio rev. Father of 4. Husband of 1.
75 113Followers
1 490Following
13 430Posts total
95.5KViews on collected posts
Últimas publicaciones
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Profit isn't something you “earn”...
...profit is something you DECIDE.
And since most entrepreneurs never decide, they never get paid.
Here's what I mean…
Every business learns the same formula:
Revenue - Expenses = Profit
It’s accurate, but also unhelpful.
For most
1.6K views · 30 likes
· 1 reposts · 3 replies
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I just got off a call with a panicking CEO...
Q1 and Q2 were the best quarters in the company’s history.
Then he made 3 hires he didn’t need.
Now sales are down, and he’s back to closing deals himself.
I've watched this exact sequence play out more times than I can count… htt
2.4K views · 38 likes
· 0 reposts · 6 replies
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Dear founder: did you know your job evolves FOUR times as you scale?
The 4 Phases of a Founder's Job
│
├─ Phase 1: The Inventor
│ ├─ You create the thing
│ ├─ The product
│ ├─ The service
│ └─ The idea that didn’t exist before you
│
├─ Phase 2: The Driver
│
2.5K views · 38 likes
· 1 reposts · 10 replies
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This is an incredible lesson in leadership vs. victimhood.
14.3K views · 62 likes
· 5 reposts · 2 replies
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@ryandeiss So true! Simpler metrics often drive better business decisions than complex dashboards.
893 views · 2 likes
· 0 reposts · 0 replies
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Step 2: Assign Ownership
If nobody owns a metric, that metric will never improve. Period.
Every single line on your scorecard needs a NAME next to it.
Not "the marketing team."
Not "sales."
A person.
An actual human.
1.7K views · 16 likes
· 0 reposts · 1 replies
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Why mirror the customer journey?
Three reasons:
1. You get metrics that actually matter (no vanity metrics)
2. It eliminates politics (no arguing over who goes first on the scorecard)
3. It tells the story of how customers happen and how you serve them
Marketing goes at the
2.2K views · 16 likes
· 0 reposts · 2 replies
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Principle 4: Use Stoplights
A dashboard can't just be data…it needs to be a scoreboard.
Green = on track
Red = off track
Yellow = behind, but we have a plan to get back on track
That yellow status is crucial.
It's the difference between a problem and a plan.
1.7K views · 13 likes
· 0 reposts · 2 replies
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Now it’s time for you to actually build it:
Step 1: Pick Your Metrics
And this is what you're NOT gonna do: You're not just gonna ask department heads what metrics they want to track.
Instead, mirror the customer journey.
1.7K views · 13 likes
· 0 reposts · 1 replies
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Principle 3: Make It Manual
This one surprises people, but automation gives you data without insight.
When you force your leaders to type in their own numbers manually, they not only KNOW their numbers…
…they OWN their numbers.
And ownership equals accountability.
1.9K views · 21 likes
· 0 reposts · 2 replies
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Principle 2: Track It Weekly
Daily numbers are way too noisy.
Monthly is too late.
Weekly is the sweet spot.
It gives you enough time to spot trends AND enough time to act.
2K views · 15 likes
· 0 reposts · 1 replies
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Principle 1: Keep It Simple
A clean Google Sheet scales farther than any complex tool. And they never break.
I learned this the expensive way.
Those fancy Business Intelligence tools stop working.
People stop trusting them.
The data gets messy.
Simple wins every time.
2.5K views · 9 likes
· 0 reposts · 2 replies
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There are 4 guiding principles:
1. Keep it simple
2. Track it weekly
3. Make it manual
4. Use stoplights
Let me break down why each one matters:
2.9K views · 14 likes
· 0 reposts · 2 replies
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If you're firefighting in Slack and email, arguing with your teammates about feelings instead of facts, or running a business that relies on your heroics to scale...
You need to start actually thinking (and acting) like a real CEO.
3.2K views · 13 likes
· 0 reposts · 1 replies
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I've wasted tens of thousands of dollars on fancy dashboards and business intelligence tools.
And they ALL break.
People stop trusting the data and using it altogether.
But I've seen $2M - $5M companies go to $10M - $20M after implementing one thing they can build in half a ht
54.2K views · 278 likes
· 19 reposts · 15 replies
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Frente a cuentas del mismo tamaño
4 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. justo en la mediana de su rango de seguidores.
Visualizaciones medianas2 432esta cuenta1 018mediana de 10K–100K
Alcance, %3.24%esta cuenta3.77%mediana de 10K–100K
Interacción, %1.91%esta cuenta1.66%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 2 432 | 1 018 | 2.39× |
| Alcance (visualizaciones ÷ seguidores) | 3.24% | 3.77% | 0.86× |
| Tasa de interacción | 1.91% | 1.66% | 1.15× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3.2K21 Nov
2.9K
2.5K
2K
1.9K
1.7K
1.7K
2.2K
1.7K
893
14.3K6 Sep
2.5K8 Sep
2.4K10 Sep
1.6K11 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.44%21 Nov
0.56%
0.44%
0.80%
1.24%
0.80%
0.88%
0.82%
1.02%
0.22%
0.48%6 Sep
1.98%8 Sep
1.84%10 Sep
2.11%11 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.66%.
What the audience does
Likes37.2%578 in total
Reposts1.7%26 in total
Replies3.2%50 in total
Bookmarks57.9%899 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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