The money you’re missing is already in your numbers.
Most businesses don’t have a data problem. They have a decision problem. I find the leaks, show you which ones matter most, and tell you exactly what to fix.
For teams of 1–30. No long contracts. No dashboard you’ll never open.
Sample analysis — public retail dataset
Superstore · 9,994 order linesProfit on every $100 sold, by discount
- Sales
- $2.30M
- Profit
- $286.4K
- Lost over 20% off
- −$135.4K
Who it’s for
Who it’s for
Growing SaaS
Churn you can’t explain.
E-commerce
Discounts eating your margin.
D2C
Ad spend you can’t tie to profit.
Marketplaces
Fees and sellers that don’t add up.
Founders and teams of 1–30 in the US, Europe and the UAE.
Recognise your business? Start with what your numbers already know.
The free audit
Send me your numbers. I’ll tell you what they can answer.
A short form, one export, and a straight read on your data. Free, with no obligation.
YOUR FREE DATA AUDIT
Prepared for your business
- Whether your data is reliable: gaps, duplicates and errors, counted
- What your data can and can’t answer today
- One early signal worth a closer look, if the data shows one
- The 2–3 questions worth answering next
Total
$0
No obligation. No generic dashboard pitch.
- 1
Send me your data
Fill in a short form and attach an export. Whatever you already have.
- 2
I check it
I clean it, count the gaps and errors, and see what it can answer.
- 3
You get your summary
Within 5 working days, as a written summary and a 20-minute call.
Turnaround
5 working days
Delivered as
a written summary and a 20-minute call
Cost
Free
Good fit
You run a SaaS, e-commerce, D2C or marketplace business with 1–30 people, and you have sales data.
Not a fit
You have no sales data yet, or you need a full-time data team.
Proof, before I have clients
Above 20% off, every product category lost money.
No client logos yet, so here’s the work itself. I ran my Diagnose process on Superstore, a practice dataset Tableau publishes. It’s not a real company’s books, but every number comes from the actual file.
Sample analysis — public retail dataset
- order lines analysed
- 9,994
- of them discounted above 20%
- 13.9%
- profit lost on those lines
- −$135,376
- categories lost money above 20%
- 3 of 3
| Category | Sub-Category | Discount | Profit | Sales | Quantity | City | State | |
|---|---|---|---|---|---|---|---|---|
| 2 | Furniture | Bookcases | 0 | 41.9136 | 261.96 | 2 | Henderson | Kentucky |
| 3 | Furniture | Chairs | 0 | 219.582 | 731.94 | 3 | Henderson | Kentucky |
| 4 | Office Supplies | Labels | 0 | 6.8714 | 14.62 | 2 | Los Angeles | California |
| 5 | Furniture | Tables | 0.45 | -383.031 | 957.5775 | 5 | Fort Lauderdale | Florida |
| 6 | Office Supplies | Storage | 0.2 | 2.5164 | 22.368 | 2 | Fort Lauderdale | Florida |
| 7 | Furniture | Furnishings | 0 | 14.1694 | 48.86 | 7 | Los Angeles | California |
| 8 | Office Supplies | Art | 0 | 1.9656 | 7.28 | 4 | Los Angeles | California |
| 9 | Technology | Phones | 0.2 | 90.7152 | 907.152 | 6 | Los Angeles | California |
| 10 | Office Supplies | Binders | 0.2 | 5.7825 | 18.504 | 3 | Los Angeles | California |
| 11 | Office Supplies | Appliances | 0 | 34.47 | 114.9 | 5 | Los Angeles | California |
| 12 | Furniture | Tables | 0.2 | 85.3092 | 1706.184 | 9 | Los Angeles | California |
| 13 | Technology | Phones | 0.2 | 68.3568 | 911.424 | 4 | Los Angeles | California |
| … | 9,982 more rows | |||||||
Margin by category and discount
Over 20% off, all three categories lose money.
- No discount
- 1–20% off
- Over 20% off
What I’d tell the owner: cap discounts at 20%, then measure what it does to profit.
Read the sample reportHow it works
Climb as far as it’s worth it.
Each step builds on the last. You can stop at any of them.
Step 1
Free data audit
Is your data reliable, and what can it answer?
Free
No card. No sales call.
Stop here if the check is all you need.
Step 2
Diagnose
One report: every leak I find, what it costs, and what to fix first.
$300
One time. Founding price; $400 after my first 3 clients.
Stop here if you’ll make the fixes yourself.
Step 3
Monitor
A dashboard on the numbers that matter, updated weekly, plus a short email on what changed.
$750
Setup, then $150/month for 3 months. Then 3 months of free support.
Stop here if a weekly check-in is all you need.
Step 4
Automate
Your numbers update themselves. No more weekly copy-paste.
Quoted
Once you’re on Monitor.
The top step.
It’s free, and it takes one form.
About me
I’m Deepanshu. I read the numbers so you can run the business.
I’m a fractional analyst for founders and small teams who have the data but not the hours to dig through it.
I trained in data science and analytics, and I work in Python, SQL, Power BI and Looker Studio. You won’t need any of them. You’ll get plain answers and a short list of what to change.
I work alone. The person who reads your data is the person who answers your email.
FAQ
Fair questions.
What you’ll want to know before you send a single row.
Whatever you already export: orders, products, costs, ad spend. A CSV or spreadsheet is fine. Not sure what you have? Send it anyway, and I’ll tell you what’s missing.
Find out what your numbers can tell you.
Send me your data. Within 5 working days, you’ll know if it’s reliable and what it can answer. Pay nothing.
Rather email? contact@deepanshujoshi.com